Journal articles: 'IHACRES'

1

Baymani-Nezhad, M., and D. Han. "Hydrological modeling using Effective Rainfall routed by the Muskingum method (ERM)." Journal of Hydroinformatics 15, no. 4 (May 22, 2013): 1437–55. http://dx.doi.org/10.2166/hydro.2013.007.

Full text

Abstract:

This paper introduces a new rainfall runoff model called ERM (Effective Rainfall routed by Muskingum method), which has been developed based on the popular IHACRES model. The IHACRES model consists of two main components to transfer rainfall to effective rainfall and then to streamflow. The second component of the IHACRES model is a linear unit hydrograph which has been replaced by the classic and well-known Muskingum method in the ERM model. With the effective rainfall by the first component of the IHACRES model, the Muskingum method is used to estimate the quick flow and slow flow separately. Two different sets of input data (temperature or evapotranspiration, rainfall and observed streamflow) and genetic algorithm (GA) as an optimization scheme have been selected to compare the performance of IHACRES and ERM models in calibration and validation. By testing the models in three different catchments, it is found that the ERM model has better performance over the IHACRES model across all three catchments in both calibration and validation. Further studies are needed to apply the ERM on a wide range of catchments to find its strengths and weaknesses.

APA, Harvard, Vancouver, ISO, and other styles

2

Croke, B. F. W., F. Andrews, A. J. Jakeman, S. M. Cuddy, and A. Luddy. "IHACRES Classic Plus: A redesign of the IHACRES rainfall-runoff model." Environmental Modelling & Software 21, no. 3 (March 2006): 426–27. http://dx.doi.org/10.1016/j.envsoft.2005.07.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Baddoo, Thelma Dede, Zhijia Li, Yiqing Guan, Kenneth Rodolphe Chabi Boni, and Isaac Kwesi Nooni. "Data-Driven Modeling and the Influence of Objective Function Selection on Model Performance in Limited Data Regions." International Journal of Environmental Research and Public Health 17, no. 11 (June 10, 2020): 4132. http://dx.doi.org/10.3390/ijerph17114132.

Full text

Abstract:

The identification of unit hydrographs and component flows from rainfall, evapotranspiration and streamflow data (IHACRES) model has been proven to be an efficient yet basic model to simulate rainfall–runoff processes due to the difficulty in obtaining the comprehensive data required by physical models, especially in data-scarce, semi-arid regions. The success of a calibration process is tremendously dependent on the objective function chosen. However, objective functions have been applied largely in over daily and monthly scales and seldom over sub-daily scales. This study, therefore, implements the IHACRES model using ‘hydromad’ in R to simulate flood events with data limitations in Zhidan, a semi-arid catchment in China. We apply objective function constraints by time aggregating the commonly used Nash–Sutcliffe efficiency into daily and hourly scales to investigate the influence of objective function constraints on the model performance and the general capability of the IHACRES model to simulate flood events in the study watershed. The results of the study demonstrated the advantage of the finer time-scaled hourly objective function over its daily counterpart in simulating runoff for the selected flood events. The results also indicated that the IHACRES model performed extremely well in the Zhidan watershed, presenting the feasibility of the use of the IHACRES model to simulate flood events in data scarce, semi-arid regions.

APA, Harvard, Vancouver, ISO, and other styles

4

Shin, Mun-Ju, and Chung-Soo Kim. "Component Combination Test to Investigate Improvement of the IHACRES and GR4J Rainfall–Runoff Models." Water 13, no. 15 (August 2, 2021): 2126. http://dx.doi.org/10.3390/w13152126.

Full text

Abstract:

Rainfall–runoff models are not perfect, and the suitability of a model structure depends on catchment characteristics and data. It is important to investigate the pros and cons of a rainfall–runoff model to improve both its high- and low-flow simulation. The production and routing components of the GR4J and IHACRES models were combined to create two new models. Specifically, the GR_IH model is the combination of the production store of the GR4J model and the routing store of the IHACRES model (vice versa in the IH_GR model). The performances of the new models were compared to those of the GR4J and IHACRES models to determine components improving the performance of the two original models. The suitability of the parameters was investigated with sensitivity analysis using 40 years’ worth of spatiotemporally different data for five catchments in Australia. These five catchments consist of two wet catchments, one intermediate catchment, and two dry catchments. As a result, the effective rainfall production and routing components of the IHACRES model were most suitable for high-flow simulation of wet catchments, and the routing component improved the low-flow simulation of intermediate and one dry catchments. Both effective rainfall production and routing components of the GR4J model were suitable for low-flow simulation of one dry catchment. The routing component of the GR4J model improved the low- and high-flow simulation of wet and dry catchments, respectively, and the effective rainfall production component improved both the high- and low-flow simulations of the intermediate catchment relative to the IHACRES model. This study provides useful information for the improvement of the two models.

APA, Harvard, Vancouver, ISO, and other styles

5

Jusatria, Jusatria. "ANALISIS MODEL KONSEPTUAL DEBIT AIR PADA DAS INDRAGIRI HILIR MENGGUNAKAN MODEL IHACRES." Selodang Mayang: Jurnal Ilmiah Badan Perencanaan Pembangunan Daerah Kabupaten Indragiri Hilir 6, no. 2 (August 28, 2020): 84. http://dx.doi.org/10.47521/selodangmayang.v6i2.168.

Full text

Abstract:

The modelling of Indragiri Hilir drainage basin is very necessary, considered by Indragiri Hilir area which sometimes overflows into residential areas and disturbs residents' activities. Conceptual analysis of water discharge through the Ihacres software could help to analyze the flow of Indragiri Hilir drainage basin. Rainfall-runoff modeling is used to predict runoff values, one of which is the IHACRES model. The IHACRES model produces nonlinear loss module parameters and linear hydrograph module units. AWLR that will be used is Kuantan Rengat station, Rain Data that will be used are from Tembilahan station and climatology from Air Molek station. Determination of the success of the model used equation R2 and R to calculate the deviation that occurs. The calibration, verification and simulation phase starts in 2010-2015. The result of conceptual analysis of water discharge of Indragiri Hilir drainage basin, In the calibration stage of the IHACRES Model, the best scheme is scheme 2 with R2 value 0.861 and R value 0.864. While the verification phase is carried out with the following year the best scheme is scheme 3 with the highest R2 value with R2 -2,550 and R-value 1,603 and the simulation scheme is the best scheme 5 with R2-1,904 and R-1,341.

APA, Harvard, Vancouver, ISO, and other styles

6

Jusatria, Jusatria, Syahnandito Syahnandito, M. Gasali M, and Rezky Kinanda. "ANALISIS KETERSEDIAAN AIR PADA DAS INDRAGIRI HILIR MENGGUNAKAN MODEL IHACRES." Selodang Mayang: Jurnal Ilmiah Badan Perencanaan Pembangunan Daerah Kabupaten Indragiri Hilir 7, no. 3 (December 14, 2021): 153–59. http://dx.doi.org/10.47521/selodangmayang.v7i3.233.

Full text

Abstract:

The imbalance that occurs between the availability of water and the water needs needed in Indragiri Hilir requires a conseptual review and evaluation. The all-time distribution of water availability is greatly influenced by the distribution of rain throughout the year. Conceptual analysis of water discharge with the help of IHACRES software can help analyze DAS indragiri Hilir discharge. Rainfall-runoff modeling is used to predict the value against the runoff, using the IHACRES model. The IHACRES model produces nonlinear loss module parameters and linear unit hydrograph modules. AWLR will be used, namely Bt. Kuantan Rengat station, Rain Data which will be used from Tembilahan station and climatology used from Air Molek station. Determination of success in the model used the equations R2 and R to calculate the deviation that occurs. The calibration, verification and simulation phases begin in 2010-2015. The results of conceptual analysis of water discharge in Indragiri Hilir watershed, mainstay discharge results for irrigation purposes with a probability of 80% maximum discharge occurred in February by 4.33 m3 / s and minimum discharge occurred in April by 0.34 m3/s. Overall availability of water on site is available throughout the year. but it cannot be used for hydropower needs because the available discharge may be affected by tidal factors. Ketidakseimbangan yang terjadi antara ketersediaan air dan kebutuhan air yang diperlukan di Indragiri Hilir memerlukan peninjauan dan evaluasi yang konseptual. Distribusi ketersedian air sepanjang waktu sangat dipengaruhi oleh distribusi hujan sepanjang tahun . Analisis konseptual debit air dengan bantuan software IHACRES dapat membantu menganalisis debit DAS indragiri hilir. Pemodelan rainfall-runoff digunakan untuk memprediksi nilai terhadap runoff salah satunya yaitu menggunakan model IHACRES. Model IHACRES menghasilkan parameter nonlinier loss module dan linier unit hydrograph module. AWLR akan digunakan yaitu stasiun Bt. Kuantan Rengat, Data Hujan yang akan digunakan yaitu dari stasiun Tembilahan dan klimatologi yang digunakan dari stasiun Air Molek. Penentuan keberhasilan pada model digunakan persamaan R2 dan R untuk menghitung simpangan yang terjadi. Tahap kalibrasi, verifikasi dan simulasi dimulai tahun 2010-2015. Hasil analisis konseptual debit air pada DAS Indragiri Hilir, hasil debit andalan untuk keperluan irigasi dengan probabilitas 80% debit maksimum terjadi pada bulan Februari sebesar 4,33 m3/s dan debit minimum terjadi pada bulan April sebesar 0,34 m3/s. Secara keseluruhan ketersediaan air di lokasi tersedia sepanjang tahun. tetapi tidak bisa digunakan untuk kebutuhan PLTA karena debit yang tersedia mungkin dipengaruhi faktor pasang surut

APA, Harvard, Vancouver, ISO, and other styles

7

Abushandi, Eyad H., and Broder J. Merkel. "Application of IHACRES rainfall-runoff model to the Wadi Dhuliel arid catchment, Jordan." Journal of Water and Climate Change 2, no. 1 (March 1, 2011): 56–71. http://dx.doi.org/10.2166/wcc.2011.048.

Full text

Abstract:

With increasing stress on water resources in Jordan, application of rainfall-runoff models can be part of the solution to manage and sustain the water sector. In this paper, the metric conceptual IHACRES model is applied to the Wadi Dhuliel arid catchment, north-east Jordan. Rainfall-runoff data from 19 storm events during 1986 to 1992 have been used in this study. Flood estimation was performed on the basis of daily scales and storm events scales. The model was extended for snowfall in order to cope with such extreme events. Although the best performance of the IHACRES model on a daily basis is poor, the performance on storm events scale showed a good agreement between observed and simulated streamflow. Apart from model parameter values, the principal reasons for IHACRES model success in this region are thought to be based on antecedent soil moisture conditions, rainfall duration and rainfall intensity before and during each storm. The model outputs were likely to be sensitive when the monitored flood was relatively small. The optimum parameter values were influenced by the length of calibration data and event specific changes.

APA, Harvard, Vancouver, ISO, and other styles

8

Guo, Binbin, Jing Zhang, Tingbao Xu, Barry Croke, Anthony Jakeman, Yongyu Song, Qin Yang, Xiaohui Lei, and Weihong Liao. "Applicability Assessment and Uncertainty Analysis of Multi-Precipitation Datasets for the Simulation of Hydrologic Models." Water 10, no. 11 (November 9, 2018): 1611. http://dx.doi.org/10.3390/w10111611.

Full text

Abstract:

Hydrologic models are essential tools for understanding hydrologic processes, such as precipitation, which is a fundamental component of the water cycle. For an improved understanding and the evaluation of different precipitation datasets, especially their applicability for hydrologic modelling, three kinds of precipitation products, CMADS, TMPA-3B42V7 and gauge-interpolated datasets, are compared. Two hydrologic models (IHACRES and Sacramento) are applied to study the accuracy of the three types of precipitation products on the daily streamflow of the Lijiang River, which is located in southern China. The models are calibrated separately with different precipitation products, with the results showing that the CMADS product performs best based on the Nash–Sutcliffe efficiency, including a much better accuracy and better skill in capturing the streamflow peaks than the other precipitation products. The TMPA-3B42V7 product shows a small improvement on the gauge-interpolated product. Compared to TMPA-3B42V7, CMADS shows better agreement with the ground-observation data through a pixel-to-point comparison. The comparison of the two hydrologic models shows that both the IHACRES and Sacramento models perform well. The IHACRES model however displays less uncertainty and a higher applicability than the Sacramento model in the Lijiang River basin.

APA, Harvard, Vancouver, ISO, and other styles

9

Baymani-Nezhad, Matin, and Dawei Han. "Comparative study of IHACRES model optimisation schemes." Proceedings of the Institution of Civil Engineers - Water Management 167, no. 4 (April 2014): 194–205. http://dx.doi.org/10.1680/wama.12.00055.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Liu, Guihua, Zhiming He, Zhaoqing Luan, and Shuhua Qi. "Intercomparison of a Lumped Model and a Distributed Model for Streamflow Simulation in the Naoli River Watershed, Northeast China." Water 10, no. 8 (July 30, 2018): 1004. http://dx.doi.org/10.3390/w10081004.

Full text

Abstract:

Water supply availability has significant impacts on the biggest base for commodity grain production: The Sanjiang Plain in northeast China. The SWAT (soil and water assessment tool) model and IHACRES (identification of unit hydrographs and component flows from rainfall, evapotranspiration and streamflow data) model were used for modelling streamflow variability in the upper Naoli River watershed to determine the applicability of hydrological models to the marsh rivers. Both the SWAT and IHACRES models were suitable for streamflow simulation, having R2 (coefficient of determination) and NS (Nash–Sutcliffe) values greater than 0.7, and PBIAS (percent bias) smaller than 25%. The IHACRES model was easy to use, with less data-preparation, and was found to be a better choice for runoff simulation in a watershed less affected by human activity. The simulation result was better in primeval times, i.e., 1956–1966, than the period 1967–2005, when its performance was found to be unfavorable. In contrast, the complex, processes-based SWAT model was found to be more appropriate for simultaneously simulating streamflow variability. In addition, the effects of land use change and human activities in the watershed—where agricultural activities are intensive—were evaluated. The study found that the SWAT model was potentially suitable for water resource planning and management.

APA, Harvard, Vancouver, ISO, and other styles

11

Soo, Eugene Zhen Xiang, Wan Zurina Wan Jaafar, Ren Jie Chin, Lloyd Ling, Cia Yik Ng, and Srivastava Prashant. "Streamflow evaluation using IHACRES model in Kelantan river basin, Malaysia." E3S Web of Conferences 347 (2022): 04008. http://dx.doi.org/10.1051/e3sconf/202234704008.

Full text

Abstract:

Kelantan is a flood-prone area where in the past years flood had occurred quite frequently. Determining a hydrological model that can represent Kelantan River basin by giving plausible simulated runoff according to the observed runoff is essential as this will allow appropriate prediction of future flood by using forecasted rainfall and other data. In this study, the IHACRES model was used to simulate runoff and the calibrated simulated runoff by daily scale and seasonal flood events were compared with observed runoff. In general, the IHACRES model performed better in seasonal scale as compared with annual scale in terms of calibration. However, performance of IHACRES degraded during validation stage, whereby the model tends to underestimate the high peak flows but estimate rather more accurate when no peak flows were present. In terms of annual scale, the best model was obtained by calibrating the streamflow in 2012 – 2013 (2 years), the validation results were not satisfactory with NSE = 0.473 and PBIAS = 27.7%. On the other hand, for seasonal analysis, the best model was obtained by calibrating the data of NEM 6 (November 2017 – March 2018). 3 out of 5 of the validation periods show unsatisfactory results (NSE ≤ 0.50). NEM 1 (November 2012 – March 2013) show the best validation results with NSE = 0.853. Further calibration is required in order to enhance the accuracy of the model.

APA, Harvard, Vancouver, ISO, and other styles

12

Fauzi, Manyuk, Ermiyati, Suprasman, Siswanto, Alfian Malik, Doli Ananta Putra, and Andica Putra. "Application of Hybrid-Ihacres models for water availability in Siak River." MATEC Web of Conferences 276 (2019): 04017. http://dx.doi.org/10.1051/matecconf/201927604017.

Full text

Abstract:

Watershed management with potential water resources greater than or equal to 20% of the potential of water resources in the province requires a device capable of addressing those needs. The Siak river area is a potential source of water resources greater than 20%. Until now, the Siak river area does not yet have an integrated water resource information system; thus information on the potency of water absorption cannot be adequately recorded. Prediction of water availability in watersheds has significance for the management of a watershed. The research aims to develop a hydrological model to strengthen the water availability information to complete the water availability information. The built model is a combination of a conceptual model with wavelet (hybrid model) that is wavelet-ihacres. The wavelet transform method has the advantage of decomposing and reconstructing the data to produce better predictions. The results showed that the combined wavelet-ihacres have a coefficient correlation between observation data and output model of 0.737. The value is classified as a strong correlation.

APA, Harvard, Vancouver, ISO, and other styles

13

Limbrick, K. J. "Estimating daily recharge to the Chalk aquifer of southern England – a simple methodology." Hydrology and Earth System Sciences 6, no. 3 (June 30, 2002): 485–96. http://dx.doi.org/10.5194/hess-6-485-2002.

Full text

Abstract:

Abstract. A simple, practical model for estimating daily recharge - as hydrologically effective rainfall (HER) - to the Chalk outcrop of southern England is presented. Daily meteorological observations are the only data requirements. The model was calibrated for a Chalk river, the Wey, in south Dorset. Six different root constant thresholds were used to estimate daily actual evapotranspiration (AET) rates for the river. The model was then used to calculate HER using the six estimates of AET. Daily mean flow was simulated using three different models: CAPTAIN, IHACRES and INCA. The six HER estimates provided independent model inputs. HER calculated using a root constant of 200mm proved suitable not only for the Wey, but also (via a validation exercise) for other rivers on the Chalk of southern England for riverflow simulations as well as the timing and magnitude of groundwater recharge. The results suggest that a root constant of 200mm is optimal for the Chalk outcrop of southern England. The model is particularly useful for studies where the application of more complex methods of recharge estimation is impractical. Keywords: Chalk aquifer, root constant, recharge, Hydrologically Effective Rainfall, model, riverflow, CAPTAIN, IHACRES, INCA, River Wey

APA, Harvard, Vancouver, ISO, and other styles

14

Shin, Mun-Ju, and Chung-Soo Kim. "Assessment of the suitability of rainfall–runoff models by coupling performance statistics and sensitivity analysis." Hydrology Research 48, no. 5 (September 14, 2016): 1192–213. http://dx.doi.org/10.2166/nh.2016.129.

Full text

Abstract:

Conceptual rainfall–runoff models are widely used to understand the hydrologic responses of catchments of interest. Modellers calculate the model performance statistics for the calibration and validation periods to investigate whether these models serve as satisfactory representations of the natural hydrologic phenomenon. Another useful method to investigate model suitability is sensitivity analysis (SA), which investigates structural uncertainty in the models. However, a comprehensive method is needed, which led us to develop a model suitability index (MSI) by combining the results of model performance statistics and SA. Here, we assessed and compared the suitability of three rainfall–runoff models (GR4J, IHACRES and Sacramento model) for seven Korean catchments using MSI. MSI showed that the GR4J and IHACRES models are suitable, having more than 0.5 MSI, whereas the Sacramento has less than 0.5 MSI, representing unsuitability for most of the Korean catchments. The MSI developed in this study is a quantitative measure that can be used for the comparison of rainfall–runoff models for different catchments. It uses the results of existing model performance statistics and sensitivity indices; hence, users can easily apply this index to their models and catchments to investigate suitability.

APA, Harvard, Vancouver, ISO, and other styles

15

Carcano, Elena Carla, Paolo Bartolini, Marco Muselli, and Luigi Piroddi. "Jordan recurrent neural network versus IHACRES in modelling daily streamflows." Journal of Hydrology 362, no. 3-4 (December 2008): 291–307. http://dx.doi.org/10.1016/j.jhydrol.2008.08.026.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Bennett, J. C., F. L. N. Ling, D. A. Post, M. R. Grose, S. C. Corney, B. Graham, G. K. Holz, J. J. Katzfey, and N. L. Bindoff. "High-resolution projections of surface water availability for Tasmania, Australia." Hydrology and Earth System Sciences Discussions 9, no. 2 (February 8, 2012): 1783–825. http://dx.doi.org/10.5194/hessd-9-1783-2012.

Full text

Abstract:

Abstract. Changes to streamflows caused by climate change may have major impacts on the management of water for hydro-electric generation and agriculture in Tasmania, Australia. We present high-resolution projections of Tasmanian surface water availability between 1961–1990 and 2070–2099. Six fine-scale (10 km) simulations of daily rainfall and potential evapotranspiration are generated with the CSIRO Conformal Cubic Atmospheric Model (CCAM), a variable-resolution regional climate model (RCM). These variables are bias-corrected with quantile mapping and used as direct inputs to the hydrological models AWBM, IHACRES, Sacramento, SIMHYD and SMAR-G to project streamflows. The performance of the hydrological models is assessed against 86 streamflow gauges across Tasmania. The SIMHYD model is the least biased (median bias = −3%) while IHACRES has the largest bias (median bias = −22%). We find the hydrological models that best simulate observed streamflows produce similar streamflow projections. In contrast, the poorly performing IHACRES model amplifies changes more than the other hydrological models. There is much more variation in projections between RCM simulations than between hydrological models. This shows that it is more important to consider the range of RCM simulations than the range of hydrological models used here to adequately describe uncertainty in the projections. We use the SIMHYD model to describe future changes to streamflow in eight rivers. Changes to streamflows are projected to vary by region. Marked decreases of up to 30% are projected for annual runoff in central Tasmania, while runoff is generally projected to increase in the east. Daily streamflow variability is projected to increase for most of Tasmania, consistent with increases in rainfall intensity. Inter-annual variability of streamflows is projected to increase across most of Tasmania. This is the first major Australian study to use high-resolution bias-corrected rainfall and potential evapotranspiration projections as direct inputs to hydrological models. Our study shows that these simulations are capable of producing realistic streamflows, allowing for increased confidence in assessing future changes to surface water variability.

APA, Harvard, Vancouver, ISO, and other styles

17

Kim, Kue Bum, and Dawei Han. "Exploration of sub-annual calibration schemes of hydrological models." Hydrology Research 48, no. 4 (August 30, 2016): 1014–31. http://dx.doi.org/10.2166/nh.2016.296.

Full text

Abstract:

This study compared hydrological model performances under different sub-annual calibration schemes using two conceptual models, IHACRES and HYMOD. In several publications regarding sub-annual calibration, the authors showed that such an approach generally performed better than the conventional whole period method. Hence, there are advantages in dividing the data into sub-annual periods for calibration. However, little attention has been paid to the issue of how to calibrate the non-continuous sub-annual period. Unlike the conventional calibration which assumes time-invariant parameters for the calibration period, the model parameters vary in sub-annual calibration. We have explored two sub-annual calibration schemes, serial calibration scheme (SCS) and parallel calibration scheme (PCS). We assume that the relationships between the rainfall and runoff could be different for each sub-annual period and consider intra-annual variations of the system. The models are then evaluated for a different validation period to avoid over-fitting and the optimal sub-annual calibration period is explored. Overall, we have found that PCS performed slightly better than SCS and the optimal calibration periods are seasonal and bimonthly for IHACRES and biannual for HYMOD. Since there are pros and cons in both SCS and PCS, we recommend choosing the method depending on the purpose of the model usage.

APA, Harvard, Vancouver, ISO, and other styles

18

Nikakhtar, Morteza, Seyedeh Hoda Rahmati, and Ali Reza Massah Bavani. "Impact of climate change on the future quality of surface waters: case study of the Ardak River, northeast of Iran." Journal of Water and Climate Change 11, no. 3 (February 19, 2019): 685–702. http://dx.doi.org/10.2166/wcc.2019.132.

Full text

Abstract:

Abstract In recent decades, climate change has influenced the quantity and quality of water resources, affecting water supply for various demands. In this case study, the effects of climate change on the quality of the Ardak River in the northeast of Iran are discussed. The Qual2kW model was used to simulate water quality parameters, by sampling dissolved oxygen (DO), pH, chemical oxygen demand (COD), and NO3. The rainfall-streamflow model IHACRES was used for simulating monthly streamflow. Monthly general circulation model (GCM) temperature and rainfall data from representative concentration pathways (RCP) RCP2.6 and RCP8.5 were downloaded for 1986 to 2005 and 2020 to 2039. The previously verified model LARS-WG was used to predict future temperatures and rainfall. By importing this data into IHACRES, stream flows were simulated, enabling Qual2kW to predict future effects on water quality. Although changes in temperature of 0.5 to 1.2 °C were predicted, maximum changes in temperature and rainfall will occur in winter and summer in series. Therefore, water quality was predicted to decrease only on the Abghad branch, due to increased temperature and lower flow rates. The highest percentage variations in DO and NO3 are −12.19 and 31.25 in RCP8.5 and in COD and PH, −35.4 and 0.29 in RCP2.6.

APA, Harvard, Vancouver, ISO, and other styles

19

Oyerinde, Ganiyu Titilope, Agnide E. Lawin, and Tobore Anthony. "Multiscale assessments of hydroclimatic modelling uncertainties under a changing climate." Journal of Water and Climate Change 13, no. 3 (January 20, 2022): 1534–47. http://dx.doi.org/10.2166/wcc.2022.266.

Full text

Abstract:

Abstract Since the 1970s, climate change has led to decreasing water resources in the Sahel. To cope with climate change, reliable modelling of future hydroclimatic evolutions is required. This study uses multiclimate and hydrological modelling approaches to access past and future (1951–2100) hydroclimatic trends on nine headwater catchments of the Niger River Basin. Eight global climate models (GCMs) dynamically downscaled under the CORDEX CMIP5 project were used. The GCM data were bias-corrected with quantile–quantile mapping. Three rainfall–runoff models (IHACRES-CMD, IHACRES-CWI and Sacramento) were calibrated and validated with observed data and used to simulate runoff. The projected future runoff trend from 2061 to 2090 was compared across the three hydrological models to assess uncertainties from hydrological models. Results show that the bias correction positively enhanced the quality of eight GCMs across the nine catchments. An average Nash–Sutcliffe Efficiency (NSE) across the nine catchments was improved from 0.53 to 0.68 and the Kling–Gupta Efficiency (KGE) was enhanced from 0.65 to 0.83. The three hydrological models were calibrated and validated appropriately on the nine catchments. Despite this, high hydrological modelling uncertainties were witnessed with contrasting projected future runoff patterns by the three models. We recommended the use of ensembles of both climate and hydrological models to provide reliable hydroclimatic modelling.

APA, Harvard, Vancouver, ISO, and other styles

20

CROKE, B., and A. JAKEMAN. "A catchment moisture deficit module for the IHACRES rainfall-runoff model." Environmental Modelling & Software 19, no. 1 (January 2004): 1–5. http://dx.doi.org/10.1016/j.envsoft.2003.09.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Koubodana, Houteta Djan'na, Kossi Atchonouglo, Julien G. Adounkpe, Ernest Amoussou, Domiho Japhet Kodja, Dambré Koungbanane, Koba Yaovi Afoudji, Yao Lombo, and Kossi E. Kpemoua. "Surface runoff prediction and comparison using IHACRES and GR4J lumped models in the Mono catchment, West Africa." Proceedings of the International Association of Hydrological Sciences 384 (November 16, 2021): 63–68. http://dx.doi.org/10.5194/piahs-384-63-2021.

Full text

Abstract:

Abstract. This study aims to assess simulated surface runoff before and after dam construction in the Mono catchment (West Africa) using two lumped models: GR4J (Rural Engineering with 4 Daily Parameters) and IHACRES (Identification of unit Hydrographs and Component flows from Rainfall, Evapotranspiration and Stream data) over two different periods (1964–1986 and 1988–2010). Daily rainfall, mean temperature, evapotranspiration and discharge in situ data were collected for the period 1964–2010. After the model's initialization, calibration and validation; performances analysis have been carried out using multi-objectives functions developed in R software (version 3.5.3). The results indicate that statistical metrics such as the coefficient of determination (R2), the Kling–Gupta Efficiency (KGE), the Nash–Sutcliffe coefficient (NSE) and the Percent of Bias (PBIAS) provide satisfactory insights over the first period of simulation (1964–1986) and low performances over the second period of simulation (1988–2010). In particular, IHACRES model underestimates extreme high runoff of Mono catchment between 1964 and 1986. Conversely, GR4J model overestimates extreme high runoff and has been found to be better for runoff prediction of the river only between 1964 and 1986. Moreover, the study deduced that the robustness of runoff simulation between 1964 and 1986 is better than between 1988 and 2010. Therefore, the weakness of simulated runoff between 1988 and 2010 was certainly due to dam management in the catchment. The study suggests that land cover changes impacts, soil proprieties and climate may also affect surface runoff in the catchment.

APA, Harvard, Vancouver, ISO, and other styles

22

Allen, Gerald R., and Guangdong Liu. "IHACRES Classic: Software for the Identification of Unit Hydrographs and Component Flows." Ground Water 49, no. 3 (March 24, 2011): 305–8. http://dx.doi.org/10.1111/j.1745-6584.2011.00814.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Bennett, J. C., F. L. N. Ling, D. A. Post, M. R. Grose, S. P. Corney, B. Graham, G. K. Holz, J. J. Katzfey, and N. L. Bindoff. "High-resolution projections of surface water availability for Tasmania, Australia." Hydrology and Earth System Sciences 16, no. 5 (May 7, 2012): 1287–303. http://dx.doi.org/10.5194/hess-16-1287-2012.

Full text

Abstract:

Abstract. Changes to streamflows caused by climate change may have major impacts on the management of water for hydro-electricity generation and agriculture in Tasmania, Australia. We describe changes to Tasmanian surface water availability from 1961–1990 to 2070–2099 using high-resolution simulations. Six fine-scale (∼10 km2) simulations of daily rainfall and potential evapotranspiration are generated with the CSIRO Conformal Cubic Atmospheric Model (CCAM), a variable-resolution regional climate model (RCM). These variables are bias-corrected with quantile mapping and used as direct inputs to the hydrological models AWBM, IHACRES, Sacramento, SIMHYD and SMAR-G to project streamflows. The performance of the hydrological models is assessed against 86 streamflow gauges across Tasmania. The SIMHYD model is the least biased (median bias = −3%) while IHACRES has the largest bias (median bias = −22%). We find the hydrological models that best simulate observed streamflows produce similar streamflow projections. There is much greater variation in projections between RCM simulations than between hydrological models. Marked decreases of up to 30% are projected for annual runoff in central Tasmania, while runoff is generally projected to increase in the east. Daily streamflow variability is projected to increase for most of Tasmania, consistent with increases in rainfall intensity. Inter-annual variability of streamflows is projected to increase across most of Tasmania. This is the first major Australian study to use high-resolution bias-corrected rainfall and potential evapotranspiration projections as direct inputs to hydrological models. Our study shows that these simulations are capable of producing realistic streamflows, allowing for increased confidence in assessing future changes to surface water variability.

APA, Harvard, Vancouver, ISO, and other styles

24

Borzì, Iolanda, Brunella Bonaccorso, and Aldo Fiori. "A Modified IHACRES Rainfall-Runoff Model for Predicting the Hydrologic Response of a River Basin Connected with a Deep Groundwater Aquifer." Water 11, no. 10 (September 28, 2019): 2031. http://dx.doi.org/10.3390/w11102031.

Full text

Abstract:

A flow regime is influenced by the degree of hydrologic connection between surface water and groundwater. As this connection becomes more transient and the basin’s runoff response more non-linear, such as for intermittent streams, the need for explicit representation of the groundwater component increases. The present study investigates the connection between Northern Etna groundwater system and the Alcantara river basin in Sicily (Italy). In particular, the upstream part of the basin, whose flow regime is essentially intermittent, is modeled through a modified version of the IHACRES rainfall-runoff model. The structure of the model includes a routing module formulated as a two-store model, with the upper store simulating the quick component of the runoff and recharging the lower store which, in turn, describes the slow component of the runoff and the groundwater extraction and losses. Both stores are conceptualized as simple linear reservoirs, with the lower one that maintains a continuous water balance account of groundwater storage volumes for the upstream basin area with respect to a control cross-section, assumed to be the stream gauging station. The model is calibrated at Moio Alcantara cross-section, where daily streamflow data are available. Model calibration and validation are carried out for the period 1980–1984 and 1986–1988, respectively. A first-order analysis is also performed to assess the sensitivity of model parameters. The adopted configuration is shown to improve model performance with respect to the original IHACRES model, with the proposed formulation able to better capture the interactions between the aquifer and the river.

APA, Harvard, Vancouver, ISO, and other styles

25

Nazaripooya, Hadi, Parviz Kardavani, and Abdoraze Farajirad. "Calibration and Evaluation of Hydrological Models, IHACRES and SWAT Models in Runoff Simulation." Journal of Spatial Analysis Environmental Hazarts 2, no. 2 (July 1, 2015): 99–112. http://dx.doi.org/10.18869/acadpub.jsaeh.2.2.99.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Javeed, Yusuf, and K. V. Apoorva. "Flow Regionalization Under Limited Data Availability – Application of IHACRES in the Western Ghats." Aquatic Procedia 4 (2015): 933–41. http://dx.doi.org/10.1016/j.aqpro.2015.02.117.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Yilmaz, Abdullah Gokhan, Serter Atabay, Kimia Haji Amou Assar, and Monzur Alam Imteaz. "Climate Change Impacts on Inflows into Lake Eppalock Reservoir from Upper Campaspe Catchment." Hydrology 8, no. 3 (July 24, 2021): 108. http://dx.doi.org/10.3390/hydrology8030108.

Full text

Abstract:

Climate change has significant effects on societies and ecosystems. Due to the strong link between climate and the hydrological cycle, water resources is one of the most affected fields by climate change. It is of great importance to investigate climate change effects on streamflows by producing future streamflow projections under different scenarios to create adaptation measures and mitigate potential impacts of climate change. The Upper Campaspe Catchment (UCC), located at North Central Victoria in Australia, is a significant catchment as it provides a large portion of total inflow to the Lake Eppalock Reservoir, which supplies irrigation to the Campaspe Irrigation district and urban water to Bendigo, Heathcote, and Ballarat cities. In this study, climate change effects on monthly streamflows in the UCC was investigated using high resolution future climate data from CSIRO and MIROC climate models in calibrated IHACRES hydrological model. The IHACRES model was found to be very successful to simulate monthly streamflow in UCC. Remarkable streamflow reductions were projected based on the climate input from both models (CSIRO and MIROC). According to the most optimistic scenario (with the highest projected streamflows) by the MIROC-RCP4.5 model in near future (2035–2064), the Upper Campaspe River will completely dry out from January to May. The worst scenario (with the lowest streamflow projection) by the CSIRO-RCP8.5 model in the far future (2075–2104) showed that streamflows will be produced only for three months (July, August, and September) throughout the year. Findings from this study indicated that climate change will have significant adverse impacts on reservoir inflow, operation, water supply, and allocation in the study area.

APA, Harvard, Vancouver, ISO, and other styles

28

Prieto Sierra, C., E. García Alonso, R. Mínguez Solana, and R. Medina Santamaría. "Proposal of a lumped hydrological model based on general equations of growth – application to five watersheds in the UK." Hydrology and Earth System Sciences Discussions 10, no. 7 (July 17, 2013): 9309–61. http://dx.doi.org/10.5194/hessd-10-9309-2013.

Full text

Abstract:

Abstract. This paper explores a new approach to lumped hydrological modelling based on general laws of growth, in particular using the classic logistic equation proposed by Verhulst. By identifying homologies between the growth of a generic system and the evolution of the flow at the outlet of a river basin, and adopting some complementary hypotheses, a compact model with 3 parameters, extensible to 4 or 5, is obtained. The model assumes that a hydrological system, under persistent conditions of precipitation, potential evapotranspiration and land uses, tends to reach an equilibrium discharge that can be expressed as a function of a dynamic aridity index, including a free parameter reflecting the basin properties. The rate at which the system approaches such equilibrium discharge, which is constantly changing and generally not attainable, is another parameter of the model; finally, a time lag is introduced to reflect a characteristic delay between the input (precipitation) and output (discharge) in the system behaviour. To test the suitability of the proposed model, 5 previously studied river basins in the UK, with different characteristics, have been analysed at a daily scale, and the results compared with those of the model IHACRES (Identification of unit Hydrographs and Component flows from Rainfall, Evaporation and Streamflow data). It is found that the logistic equilibrium model with 3 parameters properly reproduces the hydrological behaviour of such basins, improving the IHACRES in four of them; moreover, the model parameters are relatively stable over different periods of calibration and evaluation. Adding more parameters to the basic structure, the fits only improve slightly in some of the analysed series, but potentially increasing equifinality effects. The results obtained indicate that growth equations, with possible variations, can be useful and parsimonious tools for hydrological modelling, at least in certain types of watersheds.

APA, Harvard, Vancouver, ISO, and other styles

29

Samir Mohammad, Ali Alredaisy. "Recommending the IHACRES model for water resources assessment and resolving water conflicts in Africa." Journal of Arid Land 3, no. 1 (February 25, 2011): 40–48. http://dx.doi.org/10.3724/sp.j.1227.2011.00040.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Hope, Allen, Jordan Decker, and Piotr Jankowski. "Utility of Gridded Rainfall for IHACRES Daily River Flow Predictions in Southern California Watersheds1." JAWRA Journal of the American Water Resources Association 44, no. 2 (April 2008): 428–35. http://dx.doi.org/10.1111/j.1752-1688.2008.00172.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Kim, H. S. "Application of a baseflow filter for evaluating model structure suitability of the IHACRES CMD." Journal of Hydrology 521 (February 2015): 543–55. http://dx.doi.org/10.1016/j.jhydrol.2014.12.030.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Sadeghi, S. H., H. Ghasemieh, and S. J. Sadatinegad. "Performance Evaluation of the IHACRES Hydrological Model in Wet Areas (Case Study: Navrud Basin, Gillan)." Journal of Water and Soil Science 19, no. 73 (November 1, 2015): 73–83. http://dx.doi.org/10.18869/acadpub.jstnar.19.73.73.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Dye, P. J., and B. F. W. Croke. "Evaluation of streamflow predictions by the IHACRES rainfall-runoff model in two South African catchments." Environmental Modelling & Software 18, no. 8-9 (October 2003): 705–12. http://dx.doi.org/10.1016/s1364-8152(03)00072-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Karimpour, Fahimeh, Abdullah Darzi-Naftchali, and mehdi nadi. ""Technical Report" Performance Comparison of IHACRES Model and Artificial Neural Network to Predict the Flow of Sivand River." journal of watershed management research 10, no. 20 (December 1, 2019): 262–67. http://dx.doi.org/10.29252/jwmr.10.20.262.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Ahooghalandari, Matin, Mehdi Khiadani, and Ganesh Kothapalli. "Assessment of Artificial Neural Networks and IHACRES models for simulating streamflow in Marillana catchment in the Pilbara, Western Australia." Australasian Journal of Water Resources 19, no. 2 (July 3, 2015): 116–26. http://dx.doi.org/10.1080/13241583.2015.1116183.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Ghanbarpour, M. Reza, Maryam Amiri, Mehdi Zarei, and Zahra Darvari. "Comparison of stream flow predicted in a forest watershed using different modelling procedures: ARMA, ANN, SWRRB, and IHACRES models." International Journal of River Basin Management 10, no. 3 (September 2012): 281–92. http://dx.doi.org/10.1080/15715124.2012.699893.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Ehteram, El-Shafie, Hin, Othman, Koting, Karami, Mousavi, et al. "Toward Bridging Future Irrigation Deficits Utilizing the Shark Algorithm Integrated with a Climate Change Model." Applied Sciences 9, no. 19 (September 20, 2019): 3960. http://dx.doi.org/10.3390/app9193960.

Full text

Abstract:

Climate change is one of the most effectual variables on the dam operations and reservoir water system. This is due to the fact that climate change has a direct effect on the rainfall–runoff process that is influencing the water inflow to the reservoir. This study examines future trends in climate change in terms of temperature and precipitation as an important predictor to minimize the gap between water supply and demand. In this study, temperature and precipitation were predicted for the period between 2046 and 2065, in the context of climate change, based on the A1B scenario and the HAD-CM3 model. Runoff volume was then predicted with the IHACRES model. A new, nature-inspired optimization algorithm, named the shark algorithm, was examined. Climate change model results were utilized by the shark algorithm to generate an optimal operation rule for dam and reservoir water systems to minimize the gap between water supply and demand for irrigation purposes. The proposed model was applied for the Aydoughmoush Dam in Iran. Results showed that, due to the decrease in water runoff to the reservoir and the increase in irrigation demand, serious irrigation deficits could occur downstream of the Aydoughmoush Dam.

APA, Harvard, Vancouver, ISO, and other styles

38

Borzì, Iolanda, Brunella Bonaccorso, and Aldo Fiori. "A Modified IHACRES Rainfall–Runoff Model for Predicting Hydrologic Response of a River Basin System with a Relevant Groundwater Component." Proceedings 7, no. 1 (November 15, 2018): 24. http://dx.doi.org/10.3390/ecws-3-05830.

Full text

Abstract:

A flow regime can be broadly categorized as either perennial, intermittent, or ephemeral, depending on whether the streamflow is continuous all year round, or ceasing for weeks or months each year. Various conceptual models are needed to capture the behavior of these different flow regimes, which reflect differences in the stream–groundwater hydrologic connection. As the hydrologic connection becomes more transient and a catchment’s runoff response more nonlinear, such as for intermittent streams, the need for explicit representation of the groundwater increases. In the present study, we investigated the connection between the Northern Etna groundwater system and the Alcantara River basin in Sicily, which is intermittent in the upstream, and perennial since the midstream, due to groundwater resurgence. To this end, we apply a modified version of IHACRES rainfall–runoff model, whose input data are a continuous series of concurrent daily streamflow, rainfall and temperature data. The structure of the model includes three different modules: (1) a nonlinear loss module that transforms precipitation to effective rainfall by considering the influence of temperature; (2) a linear module based on the classical convolution between effective rainfall and the unit hydrograph which is able to simulate the quick component of the runoff; and (3) a second nonlinear module that simulates the slow component of the runoff and that feeds the groundwater storage. From the sum of the quick and slow components (except for groundwater losses, representing the aquifer recharge), the total streamflow is derived. This model structure is applied separately to sub-basins showing different hydrology and land use. The model is calibrated at Mojo cross-section, where daily streamflow data are available. Point rainfall and temperature data are spatially averaged with respect to the considered sub-basins. Model calibration and validation are carried out for the period 1984–1986 and 1987–1988 respectively.

APA, Harvard, Vancouver, ISO, and other styles

39

Abushandi, Eyad, and Broder Merkel. "Modelling Rainfall Runoff Relations Using HEC-HMS and IHACRES for a Single Rain Event in an Arid Region of Jordan." Water Resources Management 27, no. 7 (February 5, 2013): 2391–409. http://dx.doi.org/10.1007/s11269-013-0293-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Ahmadi, Mehdi, Abolfazl Moeini, Hassan Ahmadi, Baharak Motamedvaziri, and Gholam Reza Zehtabiyan. "Comparison of the performance of SWAT, IHACRES and artificial neural networks models in rainfall-runoff simulation (case study: Kan watershed, Iran)." Physics and Chemistry of the Earth, Parts A/B/C 111 (June 2019): 65–77. http://dx.doi.org/10.1016/j.pce.2019.05.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Croke, B. F. W., and A. J. Jakeman. "Corrigendum to “A Catchment Moisture Deficit module for the IHACRES rainfall-runoff model” [Environ. Model. Softw. 19 (1) (2004) 1–5]." Environmental Modelling & Software 20, no. 7 (July 2005): 977. http://dx.doi.org/10.1016/j.envsoft.2004.11.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Kim, Kue Bum, Hyun-Han Kwon, and Dawei Han. "Hydrological modelling under climate change considering nonstationarity and seasonal effects." Hydrology Research 47, no. 2 (August 25, 2015): 260–73. http://dx.doi.org/10.2166/nh.2015.103.

Full text

Abstract:

Traditional hydrological modelling assumes that the catchment does not change with time. However, due to changes of climate and catchment conditions, this stationarity assumption may not be valid in the future. It is a challenge to make the hydrological model adaptive to the future climate and catchment conditions. In this study IHACRES, a conceptual rainfall–runoff model, is applied to a catchment in southwest England. Long observation data (1961–2008) are used and seasonal calibration (only the summer) has been done since there are significant seasonal rainfall patterns. Initially, the calibration is based on changing the model parameters with time by adapting the parameters using the step forward and backward selection schemes. However, in the validation, both models do not work well. The problem is that the regression with time is not reliable since the trend may not be in a monotonic linear relationship with time. Therefore, a new scheme is explored. Only one parameter is selected for adjustment while the other parameters are set as the fixed and the regression of one optimised parameter is made not only against time but climate condition. The result shows that this nonstationary model works well both in the calibration and validation periods.

APA, Harvard, Vancouver, ISO, and other styles

43

Onyutha, Charles. "Hydrological Model Supported by a Step-Wise Calibration against Sub-Flows and Validation of Extreme Flow Events." Water 11, no. 2 (January 31, 2019): 244. http://dx.doi.org/10.3390/w11020244.

Full text

Abstract:

Most hydrological models have fixed structures and their calibrations are typified by a conventional approach in which the overall water balance closure is considered (without a step-wise focus on sub-flows’ variation). Eventually, hydrological modelers are confronted with the difficulty of ensuring both the observed high flows and low flows are accurately reproduced in a single calibration. This study introduced Hydrological Model focusing on Sub-flows’ Variation (HMSV). Calibration of HMSV follows a carefully designed framework comprising sub-flow’s separation, modeling of sub-flows, and checking validity of hydrological extremes. The introduced model and calibration framework were tested using hydro-meteorological data from the Blue Nile Basin from Ethiopia in Africa. When the conventional calibration approach was adopted through automatic optimization strategy, results from the HMSV were found highly comparable with those of five internationally well recognized hydrological models (AWBM, IHACRES, SACRAMENTO, SIMHYD, and TANK). The new framework enhanced the HMSV performance for reproducing quantiles of both high flows and low flows. The combination of flow separation and step-wise calibration of hydrological model against sub-flows enhances the modeler’s physical insight in identifying which areas need focus in modeling to obtain meaningful simulation results, especially of extreme events. The link for downloading the HMSV is provided.

APA, Harvard, Vancouver, ISO, and other styles

44

Hansen, D. P., W. Ye, A. J. Jakeman, R. Cooke, and P. Sharma. "Analysis of the effect of rainfall and streamflow data quality and catchment dynamics on streamflow prediction using the rainfall-runoff model IHACRES." Environmental Software 11, no. 1-3 (January 1996): 193–202. http://dx.doi.org/10.1016/s0266-9838(96)00048-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Zhao, Binru, Jingqiao Mao, Qiang Dai, Dawei Han, Huichao Dai, and Guiwen Rong. "Exploration on hydrological model calibration by considering the hydro-meteorological variability." Hydrology Research 51, no. 1 (November 18, 2019): 30–46. http://dx.doi.org/10.2166/nh.2019.047.

Full text

Abstract:

Abstract The hydrological response is changeable for catchments with hydro-meteorological variations, which is neglected by the traditional calibration approach through using time-invariant parameters. This study aims to reproduce the variation of hydrological responses by allowing parameters to vary over clusters with hydro-meteorological similarities. The Fuzzy C-means algorithm is used to partition one-month periods into temperature-based and rainfall-based clusters. One-month periods are also classified based on seasons and random numbers for comparison. This study is carried out in three catchments in the UK, using the IHACRES rainfall-runoff model. Results show when using time-varying parameters to account for the variation of hydrological processes, it is important to identify the key factors that cause the change of hydrological responses, and the selection of the time-varying parameters should correspond to the identified key factors. In the study sites, temperature plays a more important role in controlling the change of hydrological responses than rainfall. It is found that the number of clusters has an effect on model performance, model performances for calibration period become better with the increase of cluster number; however, the increase of model complexity leads to poor predictive capabilities due to overfitting. It is important to select the appropriate number of clusters to achieve a balance between model complexity and model performance.

APA, Harvard, Vancouver, ISO, and other styles

46

Shin and Kim. "Analysis of the Effect of Uncertainty in Rainfall-Runoff Models on Simulation Results Using a Simple Uncertainty-Screening Method." Water 11, no. 7 (June 30, 2019): 1361. http://dx.doi.org/10.3390/w11071361.

Full text

Abstract:

Various uncertainty analysis methods have been used in various studies to analyze the uncertainty of rainfall-runoff models; however, these methods are difficult to apply immediately as they require a long learning time. In this study, we propose a simple uncertainty-screening method that allows modelers to investigate relatively easily the uncertainty of rainfall-runoff models. The 100 best parameter values of three rainfall-runoff models were extracted using the efficient sampler DiffeRential Evolution Adaptive Metropolis (DREAM) algorithm, and the distribution of the parameter values was investigated. Additionally, the ranges of the values of a model performance evaluation statistic and indicators of hydrologic alteration corresponding to the 100 parameter values for the calibration and validation periods was analyzed. The results showed that the Sacramento model, which has the largest number of parameters, had uncertainties in parameters, and the uncertainty of one parameter influenced all other parameters. Furthermore, the uncertainty in the prediction results of the Sacramento model was larger than those of other models. The IHACRES model had uncertainty in one parameter related to the slow flow simulation. On the other hand, the GR4J model had the lowest uncertainty compared to the other two models. The uncertainty-screening method presented in this study can be easily used when the modelers select rainfall-runoff models with lower uncertainty.

APA, Harvard, Vancouver, ISO, and other styles

47

Liu, Jiangtao, Zongxue Xu, Junrui Bai, Dingzhi Peng, and Meifang Ren. "Assessment and Correction of the PERSIANN-CDR Product in the Yarlung Zangbo River Basin, China." Remote Sensing 10, no. 12 (December 13, 2018): 2031. http://dx.doi.org/10.3390/rs10122031.

Full text

Abstract:

Satellite products can provide spatiotemporal data on precipitation in ungauged basins. It is essential and meaningful to assess and correct these products. In this study, the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) product was evaluated and corrected using the successive correction method. A simple hydrological model was driven by the corrected PERSIANN-CDR data. The results showed that the accuracy of the original PERSIANN-CDR data was low on a daily scale, and the accuracy decreased gradually from the east to the west of the basin. With one correction step, the accuracy of the corrected PERSIANN-CDR data was significantly higher than that of the initial data. The correlation coefficient increased from 0.58 to 0.73, and the probability of detection (POD) value of the corrected product was 18.2% higher than the original product. The temporal-spatial resolution influenced the performance of the satellite product. As the resolution became coarser, the correlation coefficient between the corrected PERSIANN-CDR data and the gauged data gradually became lower. The Identification of unit Hydrographs and Component flows from Rainfall, Evapotranspiration, and Streamflow (IHACRES) model could be satisfactorily applied in the Lhasa River basin with corrected PERSIANN-CDR data. The successive correction method was an effective way to correct the bias of the PERSIANN-CDR product.

APA, Harvard, Vancouver, ISO, and other styles

48

Parandin, Farzad, Asadollah Khoorani, and Ommolbanin Bazrafshan. "The Impacts of Climate Change on Maximum Daily Discharge in the Payab Jamash Watershed, Iran." Open Geosciences 11, no. 1 (December 31, 2019): 1035–45. http://dx.doi.org/10.1515/geo-2019-0080.

Full text

Abstract:

Abstract One of the most crucial consequences of climate change involves the alteration of the hydrologic cycle and river flow regime of watersheds. This study was an endeavor to investigate the contributions of climate change to maximum daily discharge (MDD). To this end, the MDD simulation was carried out through implementing the IHACRES precipitation-runoff model in the Payyab Jamash watershed for the 21st century (2016-2100). Subsequently, the observed precipitation and temperature data of the weather stations (1980-2011) as well as 4 multi-model outputs of Global Climate Models (GCMs) under the maximum and minimum Representative Concentration Pathways (RCPs) (2016-2100) were utilized. In order to downscale the output of GCMs, Bias Correction (BC) statistical method was applied. The projections for the 21st century indicated a reduction in Maximum Daily Precipitation (MDP) in comparison with the historic period in the study area. The average projected MDP for the future period was 9 mm/day and 5 mm/ day under 2.6 and 8.5 RCPs (4.6% and 2.6% decrease compared with the historical period), respectively. Moreover, the temperature increased in Jamash Watershed based on 2.6 and 8.5 RCPs by 1∘C and 2∘C(3.7% and 7.4% increase compared with the historical period), respectively. The findings of flow simulation for the future period indicated a decrease in MDD due to the diminished MDP in the study area. The amount of this decrease under RCP8.5 was not remarkable (0.75 m3/s), whereas its value for RCP2.6 was calculated as 40m3/s (respectively, 0.11% and 5.88% decrease compared with the historical period).

APA, Harvard, Vancouver, ISO, and other styles

49

Gnann, Sebastian J., Nicholas J. K. Howden, and Ross A. Woods. "Hydrological signatures describing the translation of climate seasonality into streamflow seasonality." Hydrology and Earth System Sciences 24, no. 2 (February 6, 2020): 561–80. http://dx.doi.org/10.5194/hess-24-561-2020.

Full text

Abstract:

Abstract. Seasonality is ubiquitous in nature, and it is closely linked to water quality, ecology, hydrological extremes, and water resources management. Hydrological signatures aim at extracting information about certain aspects of hydrological behaviour. Commonly used seasonal hydro-climatological signatures consider climate or streamflow seasonality, but they do not consider how climate seasonality translates into streamflow seasonality. In order to analyse the translation of seasonal climate input (precipitation minus potential evapotranspiration) into seasonal catchment output (streamflow), we represent the two time series by their seasonal (annual) Fourier mode, i.e. by sine waves. A catchment alters the input sine wave by reducing its amplitude and by shifting its phase. We propose to use these quantities, the amplitude ratio and the phase shift, as seasonal hydrological signatures. We present analytical solutions describing the response of linear reservoirs to periodic forcing to interpret the seasonal signatures in terms of configurations of linear reservoirs. Using data from the UK and the US, we show that the seasonal signatures exhibit hydrologically interpretable patterns and that they are a function of both climate and catchment attributes. Wet, rather impermeable catchments hardly attenuate the seasonal climate input. Drier catchments, especially if underlain by a productive aquifer, strongly attenuate the input sine wave leading to phase shifts up to several months. As an example application, we test whether two commonly used hydrological models (Identification of unit Hydrographs and Component flows from Rainfall, Evaporation and Streamflow – IHACRES; modèle du Génie Rural à 4 paramètres Journalier – GR4J) can reproduce the observed ranges of seasonal signatures in the UK. The results show that the seasonal signatures have the potential to be useful for catchment classification, predictions in ungauged catchments, and model building and evaluation. The use of potential evapotranspiration in the input restricts the applicability of the signatures to energy-limited (humid) catchments.

APA, Harvard, Vancouver, ISO, and other styles

50

Aronica, G. T., and B. Bonaccorso. "Climate Change Effects on Hydropower Potential in the Alcantara River Basin in Sicily (Italy)." Earth Interactions 17, no. 19 (September 1, 2013): 1–22. http://dx.doi.org/10.1175/2012ei000508.1.

Full text

Abstract:

Abstract In recent years, increasing attention has been paid to hydropower generation, since it is a renewable, efficient, and reliable source of energy, as well as an effective tool to reduce the atmospheric concentrations of greenhouse gases resulting from human activities. At the same time, however, hydropower is among the most vulnerable industries to global warming, because water resources are closely linked to climate changes. Indeed, the effects of climate change on water availability are expected to affect hydropower generation with special reference to southern countries, which are supposed to face dryer conditions in the next decades. The aim of this paper is to qualitatively assess the impact of future climate change on the hydrological regime of the Alcantara River basin, eastern Sicily (Italy), based on Monte Carlo simulations. Synthetic series of daily rainfall and temperature are generated, based on observed data, through a first-order Markov chain and an autoregressive moving average (ARMA) model, respectively, for the current scenario and two future scenarios at 2025. In particular, relative changes in the monthly mean and standard deviation values of daily rainfall and temperature at 2025, predicted by the Hadley Centre Coupled Model, version 3 (HadCM3) for A2 and B2 greenhouse gas emissions scenarios, are adopted to generate future values of precipitation and temperature. Synthetic series for the two climatic scenarios are then introduced as input into the Identification of Unit Hydrographs and Component Flows from Rainfall, Evapotranspiration and Streamflow Data (IHACRES) model to simulate the hydrological response of the basin. The effects of climate change are investigated by analyzing potential modification of the resulting flow duration curves and utilization curves, which allow a site's energy potential for the design of run-of-river hydropower plants to be estimated.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'IHACRES'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles