Log in

Relevant bibliographies by topics / Hydrologic Method / Journal articles

To see the other types of publications on this topic, follow the link: Hydrologic Method.

Journal articles on the topic 'Hydrologic Method'

Author: Grafiati

Published: 6 September 2023

Last updated: 7 September 2023

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

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Hydrologic Method.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Vu, T. T., J. Kiesel, B. Guse, and N. Fohrer. "Towards an improved understanding of hydrological change – linking hydrologic metrics and multiple change point tests." Journal of Water and Climate Change 10, no. 4 (2018): 743–58. http://dx.doi.org/10.2166/wcc.2018.068.

Full text

Abstract:

Abstract Understanding the connections between climate, anthropogenic impacts, and hydrology is fundamental for assessing future climate change. However, a comprehensive methodology is lacking to understand significant changes in the discharge regime and their causes. We propose an approach that links change point tests with hydrologic metrics applied to two Vietnamese catchments where both climatic and anthropogenic changes are observed. The change points in discharge series are revealed by six widely used change point tests. Then, 171 hydrologic metrics are investigated to evaluate all possi

APA, Harvard, Vancouver, ISO, and other styles

2

Meng, Xiao, Wu Qun Cheng, and Xian Bing Wu. "Application of Progressive Teaching Model in Engineering Hydrology and Hydrologic Calculation." Advanced Materials Research 919-921 (April 2014): 2185–88. http://dx.doi.org/10.4028/www.scientific.net/amr.919-921.2185.

Full text

Abstract:

Engineering hydrology and hydrologic calculation is a core professional course of agricultural hydrologic engineering, in order to realize the implementation of quality education in higher school teaching purposes, with the teaching practice of engineering hydrology and hydrologic calculation, puts forward the progressive teaching mode of engineering hydrology and hydrologic calculation, and applied in teaching activities. The conception of progressive teaching mode and practice was summarized from four aspects of progressive teaching objective, teaching content, gradual progressive teaching m

APA, Harvard, Vancouver, ISO, and other styles

3

Zuo, Q., and S. Liang. "Effects of dams on river flow regime based on IHA/RVA." Proceedings of the International Association of Hydrological Sciences 368 (May 7, 2015): 275–80. http://dx.doi.org/10.5194/piahs-368-275-2015.

Full text

Abstract:

Abstract. The river hydrologic regime is a driving force of the river ecosystem. Operation of dams and sluices has significant impacts on rivers’ hydrological situation. Taking the example of the Shaying River, the Jieshou hydrologic section was selected to study the influence of the sluice and all its upstream dams on the hydrologic regime. Using 55 years of measured daily flows at Jieshou hydrologic station, the hydrological date were divided into two series as pre- and post-impact periods. Based on the IHA, the range of variability in 33 flow parameters was calculated, and the hydrologic al

APA, Harvard, Vancouver, ISO, and other styles

4

Bauser, Hannes H., Daniel Berg, Ole Klein, and Kurt Roth. "Inflation method for ensemble Kalman filter in soil hydrology." Hydrology and Earth System Sciences 22, no. 9 (2018): 4921–34. http://dx.doi.org/10.5194/hess-22-4921-2018.

Full text

Abstract:

Abstract. The ensemble Kalman filter (EnKF) is a popular data assimilation method in soil hydrology. In this context, it is used to estimate states and parameters simultaneously. Due to unrepresented model errors and a limited ensemble size, state and parameter uncertainties can become too small during assimilation. Inflation methods are capable of increasing state uncertainties, but typically struggle with soil hydrologic applications. We propose a multiplicative inflation method specifically designed for the needs in soil hydrology. It employs a Kalman filter within the EnKF to estimate infl

APA, Harvard, Vancouver, ISO, and other styles

5

Javadinejad, Safieh. "A review on homogeneity across hydrological regions." Resources Environment and Information Engineering 3, no. 1 (2021): 124–37. http://dx.doi.org/10.25082/reie.2021.01.004.

Full text

Abstract:

Hydrologic classification is the method of scientifically arranging streams, rivers or catchments into groups with the most similarity of flow regime features and use it to recognize hydrologically homogenous areas. Previous homogeneous attempts were depended on overabundance of hydrologic metrics that considers features of variability of flows that are supposed to be meaningful in modelling physical progressions in the basins. This research explains the techniques of hydrological homogeneity through comparing past and existing methods; in addition it provides a practical framework for hydrolo

APA, Harvard, Vancouver, ISO, and other styles

6

Herman, J. D., J. B. Kollat, P. M. Reed, and T. Wagener. "Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models." Hydrology and Earth System Sciences 17, no. 7 (2013): 2893–903. http://dx.doi.org/10.5194/hess-17-2893-2013.

Full text

Abstract:

Abstract. The increase in spatially distributed hydrologic modeling warrants a corresponding increase in diagnostic methods capable of analyzing complex models with large numbers of parameters. Sobol' sensitivity analysis has proven to be a valuable tool for diagnostic analyses of hydrologic models. However, for many spatially distributed models, the Sobol' method requires a prohibitive number of model evaluations to reliably decompose output variance across the full set of parameters. We investigate the potential of the method of Morris, a screening-based sensitivity approach, to provide resu

APA, Harvard, Vancouver, ISO, and other styles

7

Herman, J. D., J. B. Kollat, P. M. Reed, and T. Wagener. "Technical note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models." Hydrology and Earth System Sciences Discussions 10, no. 4 (2013): 4275–99. http://dx.doi.org/10.5194/hessd-10-4275-2013.

Full text

Abstract:

Abstract. The increase in spatially distributed hydrologic modeling warrants a corresponding increase in diagnostic methods capable of analyzing complex models with large numbers of parameters. Sobol' sensitivity analysis has proven to be a valuable tool for diagnostic analyses of hydrologic models. However, for many spatially distributed models, the Sobol' method requires a prohibitive number of model evaluations to reliably decompose output variance across the full set of parameters. We investigate the potential of the method of Morris, a screening-based sensitivity approach, to provide resu

APA, Harvard, Vancouver, ISO, and other styles

8

Wang, Jie, Guoqing Wang, Amgad Elmahdi, et al. "Comparison of hydrological model ensemble forecasting based on multiple members and ensemble methods." Open Geosciences 13, no. 1 (2021): 401–15. http://dx.doi.org/10.1515/geo-2020-0239.

Full text

Abstract:

Abstract Ensemble hydrologic forecasting which takes advantages of multiple hydrologic models has made much contribution to water resource management. In this study, four hydrological models (the Xin’anjiang model (XAJ), Simhyd, GR4J, and artificial neural network (ANN) models) and three ensemble methods (the simple average, black box-based, and binomial-based methods) were applied and compared to simulate the hydrological process during 1979–1983 in three representative catchments (Daixi, Hengtangcun, and Qiaodongcun). The results indicate that for a single model, the XAJ model and the GR4J m

APA, Harvard, Vancouver, ISO, and other styles

9

He, Shaokun, Shenglian Guo, Zhangjun Liu, Jiabo Yin, Kebing Chen, and Xushu Wu. "Uncertainty analysis of hydrological multi-model ensembles based on CBP-BMA method." Hydrology Research 49, no. 5 (2018): 1636–51. http://dx.doi.org/10.2166/nh.2018.160.

Full text

Abstract:

Abstract Quantification of the inherent uncertainty in hydrologic forecasting is essential for flood control and water resources management. The existing approaches, such as Bayesian model averaging (BMA), hydrologic uncertainty processor (HUP), copula-BMA (CBMA), aim at developing reliable probabilistic forecasts to characterize the uncertainty induced by model structures. In the probability forecast framework, these approaches either assume the probability density function (PDF) to follow a certain distribution, or are unable to reduce bias effectively for complex hydrological forecasts. To

APA, Harvard, Vancouver, ISO, and other styles

10

Patil, Vaishnavi Kiran, Vidya R. Saraf, Omkesh V. Karad, Swapnil B. Ghodke, Dnyanesvar Gore, and Shweta S. Dhekale. "Simulation of Rainfall Runoff Process Using HEC-HMS Model for Upper Godavari Basin Maharashtra, India." European Journal of Engineering Research and Science 4, no. 4 (2019): 102–7. http://dx.doi.org/10.24018/ejers.2019.4.4.927.

Full text

Abstract:

The Hydrologic Engineering Centers Hydrologic Modeling System (HEC-HMS) is a popularly used watershed model to simulate rainfall- runoff process. Hydrological modeling is a commonly used tool to estimate the basin’s hydrological response due to precipitation. It allows to predict the hydrologic response to various watershed management practices and to have a better understanding of the impacts of these practices. It is evident from the extensive review of the literature that the studies on comparative assessment of watershed models for hydrologic simulations are very much limited in developing

APA, Harvard, Vancouver, ISO, and other styles

11

Patil, Vaishnavi Kiran, Vidya R. Saraf, Omkesh V. Karad, Swapnil B. Ghodke, Dnyanesvar Gore, and Shweta S. Dhekale. "Simulation of Rainfall Runoff Process Using HEC-HMS Model for Upper Godavari Basin Maharashtra, India." European Journal of Engineering and Technology Research 4, no. 4 (2019): 102–7. http://dx.doi.org/10.24018/ejeng.2019.4.4.927.

Full text

Abstract:

The Hydrologic Engineering Centers Hydrologic Modeling System (HEC-HMS) is a popularly used watershed model to simulate rainfall- runoff process. Hydrological modeling is a commonly used tool to estimate the basin’s hydrological response due to precipitation. It allows to predict the hydrologic response to various watershed management practices and to have a better understanding of the impacts of these practices. It is evident from the extensive review of the literature that the studies on comparative assessment of watershed models for hydrologic simulations are very much limited in developing

APA, Harvard, Vancouver, ISO, and other styles

12

Dogulu, N., P. López López, D. P. Solomatine, A. H. Weerts, and D. L. Shrestha. "Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and their comparison on contrasting catchments." Hydrology and Earth System Sciences 19, no. 7 (2015): 3181–201. http://dx.doi.org/10.5194/hess-19-3181-2015.

Full text

Abstract:

Abstract. In operational hydrology, estimation of the predictive uncertainty of hydrological models used for flood modelling is essential for risk-based decision making for flood warning and emergency management. In the literature, there exists a variety of methods analysing and predicting uncertainty. However, studies devoted to comparing the performance of the methods in predicting uncertainty are limited. This paper focuses on the methods predicting model residual uncertainty that differ in methodological complexity: quantile regression (QR) and UNcertainty Estimation based on local Errors

APA, Harvard, Vancouver, ISO, and other styles

13

Carrillo, G., P. A. Troch, M. Sivapalan, T. Wagener, C. Harman, and K. Sawicz. "Catchment classification: hydrological analysis of catchment behavior through process-based modeling along a climate gradient." Hydrology and Earth System Sciences Discussions 8, no. 3 (2011): 4583–640. http://dx.doi.org/10.5194/hessd-8-4583-2011.

Full text

Abstract:

Abstract. Catchment classification is an efficient method to synthesize our understanding of how climate variability and catchment characteristics interact to define hydrological response. One way to accomplish catchment classification is to empirically relate climate and catchment characteristics to hydrologic behavior and to quantify the skill of predicting hydrologic response based on the combination of climate and catchment characteristics. Since there are important subsurface properties that cannot be readily measured, the skill of classification reflects (the lack of) the amount of cross

APA, Harvard, Vancouver, ISO, and other styles

14

Rahim, Akif, Xander Wang, Neelam Javed, Farhan Aziz, Amina Jahangir, and Tahira Khurshid. "The Perturbation of Mangla Watershed Ecosystem in Pakistan Due to Hydrological Alteration." Water 15, no. 4 (2023): 656. http://dx.doi.org/10.3390/w15040656.

Full text

Abstract:

Hydrological regimes influence an aquatic ecosystem’s biotic composition, structure, and functioning. But construction of dams or anthropogenic activities substantially alter the hydrologic regimes. In this study, we used a method named as the “Indicators of Hydrologic Alteration” to examine the degree of hydrologic alteration at seven flow gauge stations in the Mangla watershed. The assessment of alteration is carried out according to the Range of Variability (RVA). This method relies on analyzing hydrologic data obtained from existing measurement points (e.g., stream gauges) within an ecosys

APA, Harvard, Vancouver, ISO, and other styles

15

Yu, Cui Song, and Xiao Na Guo. "Hydrological Frequency Calculation Method Study of Urban Rivers Runoff under Changing Environment." Applied Mechanics and Materials 170-173 (May 2012): 2023–26. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.2023.

Full text

Abstract:

The consistency of hydrological series has been destroyed by the impact of human activities and climate change. Hydrological series is consist of certain component and random element. The random and certain components of hydrological series are identified and separated through statistic analysis. The certain element is determined by using hydrologic model while the consistancy of random element is confirmed directly by hydrological frequency curve. And then add them together. The runoff series of the Huangtai Hydrometric Station in the Xiaoqing River is for example. It proves effective and fea

APA, Harvard, Vancouver, ISO, and other styles

16

Yu, Yufeng, Yuelong Zhu, Shijin Li, and Dingsheng Wan. "Time Series Outlier Detection Based on Sliding Window Prediction." Mathematical Problems in Engineering 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/879736.

Full text

Abstract:

In order to detect outliers in hydrological time series data for improving data quality and decision-making quality related to design, operation, and management of water resources, this research develops a time series outlier detection method for hydrologic data that can be used to identify data that deviate from historical patterns. The method first built a forecasting model on the history data and then used it to predict future values. Anomalies are assumed to take place if the observed values fall outside a given prediction confidence interval (PCI), which can be calculated by the predicted

APA, Harvard, Vancouver, ISO, and other styles

17

Nickman, Alireza, Steve W. Lyon, Per-Erik Jansson, and Bo Olofsson. "Simulating the impact of roads on hydrological responses: examples from Swedish terrain." Hydrology Research 47, no. 4 (2016): 767–81. http://dx.doi.org/10.2166/nh.2016.030.

Full text

Abstract:

In this study, the potential impacts of road topography on hydrologic responses at the watershed scale were simulated. The method considered used a geographic information system to identify road embankment locations and subsequently remove them from the baseline elevation data. Starting from both the ‘with’ and ‘without’ road elevation model, the surface and near-surface hydrological responses for 20 watersheds in Sweden were modeled in HEC-HMS under three different storm intensities. Flow duration curves (FDCs) were used to compare hydrologic responses for the different modeling scenarios und

APA, Harvard, Vancouver, ISO, and other styles

18

Carrillo, G., P. A. Troch, M. Sivapalan, T. Wagener, C. Harman, and K. Sawicz. "Catchment classification: hydrological analysis of catchment behavior through process-based modeling along a climate gradient." Hydrology and Earth System Sciences 15, no. 11 (2011): 3411–30. http://dx.doi.org/10.5194/hess-15-3411-2011.

Full text

Abstract:

Abstract. Catchment classification is an efficient method to synthesize our understanding of how climate variability and catchment characteristics interact to define hydrological response. One way to accomplish catchment classification is to empirically relate climate and catchment characteristics to hydrologic behavior and to quantify the skill of predicting hydrologic response based on the combination of climate and catchment characteristics. Here we present results using an alternative approach that uses our current level of hydrological understanding, expressed in the form of a process-bas

APA, Harvard, Vancouver, ISO, and other styles

19

Shu, Lele, Paul A. Ullrich, and Christopher J. Duffy. "Simulator for Hydrologic Unstructured Domains (SHUD v1.0): numerical modeling of watershed hydrology with the finite volume method." Geoscientific Model Development 13, no. 6 (2020): 2743–62. http://dx.doi.org/10.5194/gmd-13-2743-2020.

Full text

Abstract:

Abstract. Hydrologic modeling is an essential strategy for understanding and predicting natural flows, particularly where observations are lacking in either space or time or where complex terrain leads to a disconnect in the characteristic time and space scales of overland and groundwater flow. However, significant difficulties remain for the development of efficient and extensible modeling systems that operate robustly across complex regions. This paper introduces the Simulator for Hydrologic Unstructured Domains (SHUD), an integrated, multiprocess, multiscale, flexible-time-step model, in wh

APA, Harvard, Vancouver, ISO, and other styles

20

Dogulu, N., P. López López, D. P. Solomatine, A. H. Weerts, and D. L. Shrestha. "Estimation of predictive hydrologic uncertainty using quantile regression and UNEEC methods and their comparison on contrasting catchments." Hydrology and Earth System Sciences Discussions 11, no. 9 (2014): 10179–233. http://dx.doi.org/10.5194/hessd-11-10179-2014.

Full text

Abstract:

Abstract. In operational hydrology, estimation of predictive uncertainty of hydrological models used for flood modelling is essential for risk based decision making for flood warning and emergency management. In the literature, there exists a variety of methods analyzing and predicting uncertainty. However, case studies comparing performance of these methods, most particularly predictive uncertainty methods, are limited. This paper focuses on two predictive uncertainty methods that differ in their methodological complexity: quantile regression (QR) and UNcertainty Estimation based on local Err

APA, Harvard, Vancouver, ISO, and other styles

21

Malekani, L., S. Khaleghi, and M. Mahmoodi. "APPLICATION OF GIS IN MODELING ZILBERCHAI BASIN RUNOFF." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2/W3 (October 22, 2014): 181–86. http://dx.doi.org/10.5194/isprsarchives-xl-2-w3-181-2014.

Full text

Abstract:

Runoff is one of most important hydrological variables that are used in many civil works, planning for optimal use of reservoirs, organizing rivers and warning flood. The runoff curve number (CN) is a key factor in determining runoff in the SCS (Soil Conservation Service) based hydrologic modeling method. The traditional SCS-CN method for calculating the composite curve number consumes a major portion of the hydrologic modeling time. Therefore, geographic information systems (GIS) are now being used in combination with the SCS-CN method. This work uses a methodology of determining surface runo

APA, Harvard, Vancouver, ISO, and other styles

22

Golian, Saeed, Bahram Saghafian, and Ashkan Farokhnia. "Copula-based interpretation of continuous rainfall–runoff simulations of a watershed in northern Iran." Canadian Journal of Earth Sciences 49, no. 5 (2012): 681–91. http://dx.doi.org/10.1139/e2012-011.

Full text

Abstract:

In the present work, the joint response of key hydrologic variables, including total precipitation depths and the corresponding simulated peak discharges, are investigated for different antecedent soil moisture conditions using the copula method. The procedure started with the calibration and validation of the soil moisture accounting (SMA) loss rate algorithm incorporated in the Hydrologic Engineering Center – hydrologic modeling system (HEC–HMS) model for the study watershed. A 1000 year long time series of hourly rainfall was then generated by the Neyman–Scott rectangular pulses (NSRP) rain

APA, Harvard, Vancouver, ISO, and other styles

23

Apaydin, H., F. Ozturk, H. Merdun, and N. M. Aziz. "Determination of the drainage basin characteristics using vector GIS." Hydrology Research 37, no. 2 (2006): 129–42. http://dx.doi.org/10.2166/nh.2006.0011.

Full text

Abstract:

Detailed geomorphologic characteristics need to be compiled for performing hydrologic modeling of a basin. Basin form and hydrologic characteristics are to be related so the basin form must also be represented by quantitative descriptors. The typical morphologic characteristics used in hydrological analyses are basin area, perimeter, mainstream length, total stream length, contour length, basin shape (form factor, circularity ratio, compactness ratio, basin elongation), slope, drainage density, relief (maximum relief, relief ratio, relative relief), effective basin width, and median elevation.

APA, Harvard, Vancouver, ISO, and other styles

24

Lee, Hanyong, Min Suh Chae, Jong-Yoon Park, Kyoung Jae Lim, and Youn Shik Park. "Development and Application of a QGIS-Based Model to Estimate Monthly Streamflow." ISPRS International Journal of Geo-Information 11, no. 1 (2022): 40. http://dx.doi.org/10.3390/ijgi11010040.

Full text

Abstract:

Changes in rainfall pattern and land use have caused considerable impacts on the hydrological behavior of watersheds; a Long-Term Hydrologic Impact Analysis (L-THIA) model has been used to simulate such variations. The L-THIA model defines curve number according to the land use and hydrological soil group before calculating the direct runoff based on the amount of rainfall, making it a convenient method of analysis. Recently, a method was proposed to estimate baseflow using this model, which may be used to estimate the overall streamflow. Given that this model considers the spatial distributio

APA, Harvard, Vancouver, ISO, and other styles

25

Li, Zhe, Siyu Cai, Xiaohui Lei, and Lingmin Wang. "Diagnosis of Basin Eco-Hydrological Variation Based on Index Sensitivity of Similar Years: A Case Study in the Hanjiang River Basin." Water 14, no. 12 (2022): 1931. http://dx.doi.org/10.3390/w14121931.

Full text

Abstract:

The variation of hydrological conditions in the basin affects the original stable state of the basin, and the change of eco-hydrological conditions also plays a decisive role in the stability of the basin. In this manuscript, Indicators of Hydrologic Alteration (IHA) was used to diagnose watershed variation from the eco-hydrological perspective, and a new diagnostic method was proposed in the current study, which was the extraction method of the most relevant eco-hydrological indicators based on a similar year sensitive index and the diagnosis method of variation period. This method used the s

APA, Harvard, Vancouver, ISO, and other styles

26

Cranmer, A. J., N. Kouwen, and S. F. Mousavi. "Proving WATFLOOD: modelling the nonlinearities of hydrologic response to storm intensities." Canadian Journal of Civil Engineering 28, no. 5 (2001): 837–55. http://dx.doi.org/10.1139/l01-049.

Full text

Abstract:

This paper examines the effects of modelling the nonlinearities of hydrologic response to various storm intensities. Radar rainfall data, remotely sensed land use and land cover data, measured streamflows, and meteorological data were incorporated into the distributed flood forecasting model WATFLOOD to synthesize runoff hydrographs for three significant warm weather rainfall events occurring in 1995. The watershed selected for study was the 288 km2 Duffins Creek drainage basin in southern Ontario. The effects of scaling radar rainfall amounts to match regional storm intensities on the synthes

APA, Harvard, Vancouver, ISO, and other styles

27

Cai, Yaxi, and Xiaodong Yang. "Sediment Variation Characteristics of Major Rivers in the Middle Reaches of the Yellow River." Journal of Architectural Research and Development 5, no. 5 (2021): 20–26. http://dx.doi.org/10.26689/jard.v5i5.2519.

Full text

Abstract:

The sediment sequence analysis of Mann-Kendall method based on major rivers of 10 hydrological station in the middle reaches of the Yellow River [1]. The results show that: The main rivers in the middle reaches of the Yellow River hydrologic station sediment overall showed a trend of decreased significantly. Sediment discharge of all stations except Gao Jiachuan station have reached the maximum in 1956-1969s [2-3]. Among various hydrologic station sediment discharge of inter-generational are generally shows the tendency of reducing year by year. Calculate the sediment transport of major river

APA, Harvard, Vancouver, ISO, and other styles

28

Mohd Lokoman, Rahmah, Fadhilah Yusof, Nor Eliza Alias, and Zulkifli Yusop. "Construction of Dependence Structure for Rainfall Stations by Joining Time Series Models with Copula Method." Malaysian Journal of Fundamental and Applied Sciences 17, no. 4 (2021): 306–20. http://dx.doi.org/10.11113/mjfas.v17n4.2345.

Full text

Abstract:

Copula model has applied in various hydrologic studies, however, most analyses conducted does not considering the non-stationary conditions that may exist in the time series. To investigate the dependence structure between two rainfall stations at Johor Bahru, two methods have been applied. The first method considers the non-stationary condition that exists in the data, while the second method assumes stationarity in the time series data. Through goodness-off-fit (GOF) and simulation tests, performance of both methods are compared in this study. The results obtained in this study highlight the

APA, Harvard, Vancouver, ISO, and other styles

29

Richter, Brian D., Jeffrey V. Baumgartner, Jennifer Powell, and David P. Braun. "A Method for Assessing Hydrologic Alteration within Ecosystems." Conservation Biology 10, no. 4 (1996): 1163–74. http://dx.doi.org/10.1046/j.1523-1739.1996.10041163.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Agarwal, A., R. Maheswaran, V. Sehgal, R. Khosa, B. Sivakumar, and C. Bernhofer. "Hydrologic regionalization using wavelet-based multiscale entropy method." Journal of Hydrology 538 (July 2016): 22–32. http://dx.doi.org/10.1016/j.jhydrol.2016.03.023.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Atencia, A., L. Mediero, M. C. Llasat, and L. Garrote. "Effect of radar rainfall time resolution on the predictive capability of a distributed hydrologic model." Hydrology and Earth System Sciences 15, no. 12 (2011): 3809–27. http://dx.doi.org/10.5194/hess-15-3809-2011.

Full text

Abstract:

Abstract. The performance of a hydrologic model depends on the rainfall input data, both spatially and temporally. As the spatial distribution of rainfall exerts a great influence on both runoff volumes and peak flows, the use of a distributed hydrologic model can improve the results in the case of convective rainfall in a basin where the storm area is smaller than the basin area. The aim of this study was to perform a sensitivity analysis of the rainfall time resolution on the results of a distributed hydrologic model in a flash-flood prone basin. Within such a catchment, floods are produced

APA, Harvard, Vancouver, ISO, and other styles

32

Werner, Arelia T., and Alex J. Cannon. "Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods." Hydrology and Earth System Sciences 20, no. 4 (2016): 1483–508. http://dx.doi.org/10.5194/hess-20-1483-2016.

Full text

Abstract:

Abstract. Gridded statistical downscaling methods are the main means of preparing climate model data to drive distributed hydrological models. Past work on the validation of climate downscaling methods has focused on temperature and precipitation, with less attention paid to the ultimate outputs from hydrological models. Also, as attention shifts towards projections of extreme events, downscaling comparisons now commonly assess methods in terms of climate extremes, but hydrologic extremes are less well explored. Here, we test the ability of gridded downscaling models to replicate historical pr

APA, Harvard, Vancouver, ISO, and other styles

33

Werner, A. T., and A. J. Cannon. "Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods." Hydrology and Earth System Sciences Discussions 12, no. 6 (2015): 6179–239. http://dx.doi.org/10.5194/hessd-12-6179-2015.

Full text

Abstract:

Abstract. Gridded statistical downscaling methods are the main means of preparing climate model data to drive distributed hydrological models. Past work on the validation of climate downscaling methods has focused on temperature and precipitation, with less attention paid to the ultimate outputs from hydrological models. Also, as attention shifts towards projections of extreme events, downscaling comparisons now commonly assess methods in terms of climate extremes, but hydrologic extremes are less well explored. Here, we test the ability of gridded downscaling models to replicate historical pr

APA, Harvard, Vancouver, ISO, and other styles

34

Chen, Lina, Longxi Han, Junyi Tan, et al. "Water Environmental Capacity Calculated Based on Point and Non-Point Source Pollution Emission Intensity under Water Quality Assurance Rates in a Tidal River Network Area." International Journal of Environmental Research and Public Health 16, no. 3 (2019): 428. http://dx.doi.org/10.3390/ijerph16030428.

Full text

Abstract:

A mathematical model for simulating hydrodynamics and pollutants migration in a tidal river network was constructed, which takes the temporal and spatial distribution of rainfall runoff and non-point pollutants into consideration. Under the design hydrologic conditions of a typical hydrological year, the daily concentration change process for the control section is obtained. Aiming at the uncertainty of hydrology and water quality parameters such as flow direction, flow rate and concentration change in tidal river network area, a statistical analysis method is used to obtain the maximum allowa

APA, Harvard, Vancouver, ISO, and other styles

35

Newman, Andrew J., Amanda G. Stone, Manabendra Saharia, Kathleen D. Holman, Nans Addor, and Martyn P. Clark. "Identifying sensitivities in flood frequency analyses using a stochastic hydrologic modeling system." Hydrology and Earth System Sciences 25, no. 10 (2021): 5603–21. http://dx.doi.org/10.5194/hess-25-5603-2021.

Full text

Abstract:

Abstract. This study employs a stochastic hydrologic modeling framework to evaluate the sensitivity of flood frequency analyses to different components of the hydrologic modeling chain. The major components of the stochastic hydrologic modeling chain, including model structure, model parameter estimation, initial conditions, and precipitation inputs were examined across return periods from 2 to 100 000 years at two watersheds representing different hydroclimates across the western USA. A total of 10 hydrologic model structures were configured, calibrated, and run within the Framework for Under

APA, Harvard, Vancouver, ISO, and other styles

36

Zlatanović, Nikola, and Sonja Gavrić. "Comparison of an Automated and Manual Method for Calculating Storm Runoff Response in Ungauged Catchments in Serbia." Journal of Hydrology and Hydromechanics 61, no. 3 (2013): 195–201. http://dx.doi.org/10.2478/johh-2013-0025.

Full text

Abstract:

Abstract Estimation of discharge from ungauged catchments based on rainfall-runoff analysis is a very frequent task in engineering hydrology. Very often, design discharges are needed for streams or small rivers where no streamflow data is available (river training works, culverts, small hydropower plants, etc). This study uses a well established lumped hydrologic rainfall-runoff model to compare two different approaches in data preparation. The traditional method of manual obtainment of catchment parameters was compared to a more contemporary methodology using automation with geographic inform

APA, Harvard, Vancouver, ISO, and other styles

37

Hua, Xu, Xue Hengxin, and Chen Zhiguo. "Application of hydrologic forecast model." Water Science and Technology 66, no. 2 (2012): 239–46. http://dx.doi.org/10.2166/wst.2012.161.

Full text

Abstract:

In order to overcome the shortcoming of the solution may be trapped into the local minimization in the traditional TSK (Takagi-Sugeno-Kang) fuzzy inference training, this paper attempts to consider the TSK fuzzy system modeling approach based on the visual system principle and the Weber law. This approach not only utilizes the strong capability of identifying objects of human eyes, but also considers the distribution structure of the training data set in parameter regulation. In order to overcome the shortcoming of it adopting the gradient learning algorithm with slow convergence rate, a novel

APA, Harvard, Vancouver, ISO, and other styles

38

Domingo, N. D. Sto, A. Refsgaard, O. Mark, and B. Paludan. "Flood analysis in mixed-urban areas reflecting interactions with the complete water cycle through coupled hydrologic-hydraulic modelling." Water Science and Technology 62, no. 6 (2010): 1386–92. http://dx.doi.org/10.2166/wst.2010.365.

Full text

Abstract:

The potential devastating effects of urban flooding have given high importance to thorough understanding and management of water movement within catchments, and computer modelling tools have found widespread use for this purpose. The state-of-the-art in urban flood modelling is the use of a coupled 1D pipe and 2D overland flow model to simultaneously represent pipe and surface flows. This method has been found to be accurate for highly paved areas, but inappropriate when land hydrology is important. The objectives of this study are to introduce a new urban flood modelling procedure that is abl

APA, Harvard, Vancouver, ISO, and other styles

39

Cho, Younghyun, and Bernard A. Engel. "Spatially distributed long-term hydrologic simulation using a continuous SCS CN method-based hybrid hydrologic model." Hydrological Processes 32, no. 7 (2018): 904–22. http://dx.doi.org/10.1002/hyp.11463.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Wang, S., G. H. Huang, B. W. Baetz, and W. Huang. "Probabilistic Inference Coupled with Possibilistic Reasoning for Robust Estimation of Hydrologic Parameters and Piecewise Characterization of Interactive Uncertainties." Journal of Hydrometeorology 17, no. 4 (2016): 1243–60. http://dx.doi.org/10.1175/jhm-d-15-0131.1.

Full text

Abstract:

Abstract This paper presents a factorial possibilistic–probabilistic inference (FPI) framework for estimation of hydrologic parameters and characterization of interactive uncertainties. FPI is capable of incorporating expert knowledge into the parameter adjustment procedure for enhancing the understanding of the nature of the calibration problem. As a component of the FPI framework, a Monte Carlo–based fractional fuzzy–factorial analysis (MFA) method is also proposed to identify the best parameter set and its underlying probability distributions in a fuzzy probability space. Factorial analysis

APA, Harvard, Vancouver, ISO, and other styles

41

Honti, M., A. Scheidegger, and C. Stamm. "Importance of hydrological uncertainty assessment methods in climate change impact studies." Hydrology and Earth System Sciences Discussions 11, no. 1 (2014): 501–53. http://dx.doi.org/10.5194/hessd-11-501-2014.

Full text

Abstract:

Abstract. Climate change impact assessments have become more and more popular in hydrology since the middle 1980's with a recent boost after the publication of the IPCC AR4 report. During hundreds of impact studies a quasi-standard methodology emerged, which is mainly shaped by the growing public demand for predicting how water resources management or flood protection should change in the following decades. The "standard" workflow relies on a model cascade from global circulation model (GCM) predictions for selected IPCC scenarios to future catchment hydrology. Uncertainty is present at each l

APA, Harvard, Vancouver, ISO, and other styles

42

Sun, Jun, Feng Ye, Nadia Nedjah, Ming Zhang, and Dong Xu. "A Practical Yet Accurate Real-Time Statistical Analysis Library for Hydrologic Time-Series Big Data." Water 15, no. 4 (2023): 708. http://dx.doi.org/10.3390/w15040708.

Full text

Abstract:

Using different statistical analysis methods to examine hydrologic time-series data is the basis of accurate hydrologic status analysis. With the wide application of the Internet of Things and sensor technologies, traditional statistical analysis methods are unable to meet the demand for real-time and accurate hydrologic data analysis. The existing mainstream big-data analysis platforms lack analysis methods oriented to hydrologic data. In this context, a real-time statistical analysis library based on the new generation of big data processing engine Flink, called HydroStreamingLib, was propos

APA, Harvard, Vancouver, ISO, and other styles

43

Gourley, Jonathan J., and Baxter E. Vieux. "A Method for Evaluating the Accuracy of Quantitative Precipitation Estimates from a Hydrologic Modeling Perspective." Journal of Hydrometeorology 6, no. 2 (2005): 115–33. http://dx.doi.org/10.1175/jhm408.1.

Full text

Abstract:

Abstract A major goal in quantitative precipitation estimation and forecasting is the ability to provide accurate initial conditions for the purposes of hydrologic modeling. The accuracy of a streamflow prediction system is dependent upon how well the initial hydrometeorological states are characterized. A methodology is developed to objectively and quantitatively evaluate the skill of several different precipitation algorithms at the scale of application—a watershed. Thousands of hydrologic simulations are performed in an ensemble fashion, enabling an exploration of the model parameter space.

APA, Harvard, Vancouver, ISO, and other styles

44

Liu, Yang, Shengle Cao, Yuheng Yang, and Xi Zhang. "Assessment of hydrologic regime considering the distribution of hydrologic parameters." Water Supply 18, no. 3 (2017): 875–85. http://dx.doi.org/10.2166/ws.2017.161.

Full text

Abstract:

Abstract To assess hydrologic regime more comprehensively using the distribution of hydrologic parameters, the probability density function of each parameter is obtained from parameter estimations and goodness-of-fit tests based on the principle of maximum entropy. Then, the Shannon entropy and weights for a multi-attribute decision-making process are used to calculate the degree of hydrologic alteration. This method is applied to the Xiaoqing River in the city of Jinan, China. The results indicate that the diversities of the monthly mean flow and annual extreme flow show decreasing trends tha

APA, Harvard, Vancouver, ISO, and other styles

45

Wang, Wei, Jia Liu, Chuanzhe Li, Yuchen Liu, and Fuliang Yu. "Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity." Remote Sensing 13, no. 4 (2021): 595. http://dx.doi.org/10.3390/rs13040595.

Full text

Abstract:

The data assimilation technique is an effective method for reducing initial condition errors in numerical weather prediction (NWP) models. This paper evaluated the potential of the weather research and forecasting (WRF) model and its three-dimensional data assimilation (3DVar) module in improving the accuracy of rainfall-runoff prediction through coupled atmospheric-hydrologic systems. The WRF model with the assimilation of radar reflectivity and conventional surface and upper-air observations provided the improved initial and boundary conditions for the hydrological process; subsequently, thr

APA, Harvard, Vancouver, ISO, and other styles

46

Zhang, Hanchen, and Weijiang Zhang. "Effect of time scale on flood simulation: maximum rainfall intensity and fractal theory based time disaggregation method for rainfall." Water Supply 20, no. 8 (2020): 3585–96. http://dx.doi.org/10.2166/ws.2020.250.

Full text

Abstract:

Abstract The time scale of rainfall data limits the accuracy and application scope of hydrologic models, especially when low-accuracy observed rainfall data are used in physically based distributed hydrologic models. In this study, an optimized rainfall method based on maximum rainfall intensity and self-similarity was established to provide different rainfall data for the physically based distributed hydrological model. The results showed the following: (1) the increase of time scale resulted in decreased rainfall intensity and an evenly distributed rainfall pattern; (2) the established disag

APA, Harvard, Vancouver, ISO, and other styles

47

Liu, Haifan, Heng Dai, Jie Niu, et al. "Hierarchical sensitivity analysis for a large-scale process-based hydrological model applied to an Amazonian watershed." Hydrology and Earth System Sciences 24, no. 10 (2020): 4971–96. http://dx.doi.org/10.5194/hess-24-4971-2020.

Full text

Abstract:

Abstract. Sensitivity analysis methods have recently received much attention for identifying important uncertainty sources (or uncertain inputs) and improving model calibrations and predictions for hydrological models. However, it is still challenging to apply the quantitative and comprehensive global sensitivity analysis method to complex large-scale process-based hydrological models (PBHMs) because of its variant uncertainty sources and high computational cost. Therefore, a global sensitivity analysis method that is capable of simultaneously analyzing multiple uncertainty sources of PBHMs an

APA, Harvard, Vancouver, ISO, and other styles

48

Das, S. "Distribution selection for hydrologic frequency analysis using subsampling method." IOP Conference Series: Earth and Environmental Science 39 (August 2016): 012059. http://dx.doi.org/10.1088/1755-1315/39/1/012059.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Tan, Yaogeng, Sandra M. Guzman, Zengchuan Dong, and Liang Tan. "Selection of Effective GCM Bias Correction Methods and Evaluation of Hydrological Response under Future Climate Scenarios." Climate 8, no. 10 (2020): 108. http://dx.doi.org/10.3390/cli8100108.

Full text

Abstract:

Global climate change is presenting a variety of challenges to hydrology and water resources because it strongly affects the hydrologic cycle, runoff, and water supply and demand. In this study, we assessed the effects of climate change scenarios on hydrological variables (i.e., evapotranspiration and runoff) by linking the outputs from the global climate model (GCM) with the Soil and Water Assessment Tool (SWAT) for a case study in the Lijiang River Basin, China. We selected a variety of bias correction methods and their combinations to correct the lower resolution GCM outputs of both precipi

APA, Harvard, Vancouver, ISO, and other styles

50

Mizukami, Naoki, Martyn P. Clark, Ethan D. Gutmann, et al. "Implications of the Methodological Choices for Hydrologic Portrayals of Climate Change over the Contiguous United States: Statistically Downscaled Forcing Data and Hydrologic Models." Journal of Hydrometeorology 17, no. 1 (2015): 73–98. http://dx.doi.org/10.1175/jhm-d-14-0187.1.

Full text

Abstract:

Abstract Continental-domain assessments of climate change impacts on water resources typically rely on statistically downscaled climate model outputs to force hydrologic models at a finer spatial resolution. This study examines the effects of four statistical downscaling methods [bias-corrected constructed analog (BCCA), bias-corrected spatial disaggregation applied at daily (BCSDd) and monthly scales (BCSDm), and asynchronous regression (AR)] on retrospective hydrologic simulations using three hydrologic models with their default parameters (the Community Land Model, version 4.0; the Variable

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!