Bibliografías temáticas / Hydrologic Method

Literatura académica sobre el tema "Hydrologic Method"

Autor: Grafiati
Publicado: 6 de septiembre de 2023
Última modificación: 7 de septiembre de 2023

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Artículos de revistas sobre el tema "Hydrologic Method"

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Vu, T. T., J. Kiesel, B. Guse y N. Fohrer. "Towards an improved understanding of hydrological change – linking hydrologic metrics and multiple change point tests". Journal of Water and Climate Change 10, n.º 4 (16 de noviembre de 2018): 743–58. http://dx.doi.org/10.2166/wcc.2018.068.

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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 possible hydrological changes that occurred between the pre- and post-change point period. The tests showed sufficient capabilities to detect hydrological changes caused by precipitation alterations and damming. Linking the change point tests to the hydrological metrics had three benefits: (1) the significance of each detected change point was evaluated, (2) we found which test responds to which hydrologic metric, and (3) we were able to disentangle the hydrological impacts of the climatic and anthropogenic changes. Due to its objectivity, the presented method can improve the interpretation of anthropogenic changes and climate change impacts on the hydrological system.
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Meng, Xiao, Wu Qun Cheng y Xian Bing Wu. "Application of Progressive Teaching Model in Engineering Hydrology and Hydrologic Calculation". Advanced Materials Research 919-921 (abril de 2014): 2185–88. http://dx.doi.org/10.4028/www.scientific.net/amr.919-921.2185.

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

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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 alteration associated with dams and sluices operation was quantified. Using the RVA method, hydrologic alteration at the stream gauge site was assessed to demonstrate the influence of dams on the hydrological condition. The results showed that dams have a strong influence on the regime; the river eco-hydrological targets calculated in this study can afford some support for water resources and ecosystem management of Shaying River.
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Bauser, Hannes H., Daniel Berg, Ole Klein y Kurt Roth. "Inflation method for ensemble Kalman filter in soil hydrology". Hydrology and Earth System Sciences 22, n.º 9 (21 de septiembre de 2018): 4921–34. http://dx.doi.org/10.5194/hess-22-4921-2018.

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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 inflation factors based on the difference between measurements and mean forecast state within the EnKF. We demonstrate its capabilities on a small soil hydrologic test case. The method is capable of adjusting inflation factors to spatiotemporally varying model errors. It successfully transfers the inflation to parameters in the augmented state, which leads to an improved estimation.
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Javadinejad, Safieh. "A review on homogeneity across hydrological regions". Resources Environment and Information Engineering 3, n.º 1 (2021): 124–37. http://dx.doi.org/10.25082/reie.2021.01.004.

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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 hydrological homogeneity that illustrates serious elements of the classification process.
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Herman, J. D., J. B. Kollat, P. M. Reed y 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, n.º 7 (24 de julio de 2013): 2893–903. http://dx.doi.org/10.5194/hess-17-2893-2013.

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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 results sufficiently similar to those of the Sobol' method at a greatly reduced computational expense. The methods are benchmarked on the Hydrology Laboratory Research Distributed Hydrologic Model (HL-RDHM) over a six-month period in the Blue River watershed, Oklahoma, USA. The Sobol' method required over six million model evaluations to ensure reliable sensitivity indices, corresponding to more than 30 000 computing hours and roughly 180 gigabytes of storage space. We find that the method of Morris is able to correctly screen the most and least sensitive parameters with 300 times fewer model evaluations, requiring only 100 computing hours and 1 gigabyte of storage space. The method of Morris proves to be a promising diagnostic approach for global sensitivity analysis of highly parameterized, spatially distributed hydrologic models.
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Herman, J. D., J. B. Kollat, P. M. Reed y 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, n.º 4 (5 de abril de 2013): 4275–99. http://dx.doi.org/10.5194/hessd-10-4275-2013.

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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 results sufficiently similar to those of the Sobol' method at a greatly reduced computational expense. The methods are benchmarked on the Hydrology Laboratory Research Distributed Hydrologic Model (HL-RDHM) model over a six-month period in the Blue River Watershed, Oklahoma, USA. The Sobol' method required over six million model evaluations to ensure reliable sensitivity indices, corresponding to more than 30 000 computing hours and roughly 180 gigabytes of storage space. We find that the method of Morris is able to correctly identify sensitive and insensitive parameters with 300 times fewer model evaluations, requiring only 100 computing hours and 1 gigabyte of storage space. Method of Morris proves to be a promising diagnostic approach for global sensitivity analysis of highly parameterized, spatially distributed hydrologic models.
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Wang, Jie, Guoqing Wang, Amgad Elmahdi, Zhenxin Bao, Qinli Yang, Zhangkang Shu y Mingming Song. "Comparison of hydrological model ensemble forecasting based on multiple members and ensemble methods". Open Geosciences 13, n.º 1 (1 de enero de 2021): 401–15. http://dx.doi.org/10.1515/geo-2020-0239.

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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 model performed relatively well with averaged Nash and Sutcliffe efficiency coefficient (NSE) values of 0.78 and 0.83, respectively. For the ensemble models, the results show that the binomial-based ensemble method (dynamic weight) outperformed with water volume error reduced by 0.8% and NSE value increased by 0.218. The best performance on runoff forecasting occurs in the Hengtang catchment by integrating four hydrologic models based on binomial ensemble method, achieving the water volume error of 2.73% and NSE value of 0.923. Finding would provide scientific support to water engineering design and water resources management in the study areas.
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He, Shaokun, Shenglian Guo, Zhangjun Liu, Jiabo Yin, Kebing Chen y Xushu Wu. "Uncertainty analysis of hydrological multi-model ensembles based on CBP-BMA method". Hydrology Research 49, n.º 5 (1 de marzo de 2018): 1636–51. http://dx.doi.org/10.2166/nh.2018.160.

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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 overcome these limitations, a copula Bayesian processor associated with BMA (CBP-BMA) method is proposed with ensemble lumped hydrological models. Comparing with the BMA and CBMA methods, the CBP-BMA method relaxes any assumption on the distribution of conditional PDFs. Several evaluation criteria, such as containing ratio, average bandwidth and average deviation amplitude of probabilistic application, are utilized to evaluate the model performance. The case study results demonstrate that the CBP-BMA method can improve hydrological forecasting precision with higher cover ratios more than 90%, which are increased by 4.4% and 3.2%, 2.2% and 1.7% over those of BMA and CBMA during the calibration and validation periods, respectively. The proposed CBP-BMA method provides an alternative approach for uncertainty estimation of hydrological multi-model forecasts.
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10

Patil, Vaishnavi Kiran, Vidya R. Saraf, Omkesh V. Karad, Swapnil B. Ghodke, Dnyanesvar Gore y 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, n.º 4 (22 de abril de 2019): 102–7. http://dx.doi.org/10.24018/ejers.2019.4.4.927.

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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 countries including India. In this study, modified SCS Curve Number method is applied to determine loss model as a major component in rainfall-runoff modeling. The study of HEC-HMS model is used to simulate rainfallrunoff process in Nashik region (Upper Godavari basin), Maharashtra. To compute runoff volume, peak runoff rate, and flow routing methods SCS curve number, SCS unit hydrograph, Exponential recession and Muskingum routing methods are chosen, respectively. The results of the present study indicate that HEC-HMS tool applied to watershed proved to be useful in achieving the various objectives. The study confirmed a significant increase in runoff as a result of urbanization. It is a powerful tool for flood forecasting Index
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Tesis sobre el tema "Hydrologic Method"

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Chen, Mi. "Using an integrated linkage method to predict hydrological responses of a mixed land use watershed". Connect to this title online, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xvi, 378 p.; also includes graphics (some col.). Includes bibliographical references (p. 229-252). Available online via OhioLINK's ETD Center
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2

Lee, Hyung-Jin. "Regional forecasting of hydrologic parameters". Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1178223662.

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Sun, Jingyun. "Hydrologic and hydraulic model development for flood mitigation and routing method comparison in Soap Creek Watershed, Iowa". Thesis, University of Iowa, 2015. https://ir.uiowa.edu/etd/1914.

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The primary objective of this thesis is to develop hydrologic and hydraulic models for the Soap Creek Watershed, IA for the evaluation of alternative flood mitigation strategies and the analysis of the differences between hydrologic and hydraulic routing methods. In 2008, the state of Iowa suffered a disastrous flood that caused extensive damage to homes, agricultural lands, commercial property, and public infrastructures. To reduce the flood damage across Iowa, the U.S. Department of Housing and Urban Development (HUD) awarded funds to the Iowa Flood Center and IIHR-Hydroscience &Engineering at the University of Iowa to conduct the Iowa Watersheds Project. The Soap Creek Watershed was selected as one of the study areas because this region has suffered frequent severe floods over the past century and because local landowners have organized to construct over 130 flood detention ponds within it since 1985. As part of the Iowa Watersheds Project, we developed a hydrologic model using the U.S. Army Corps of Engineers’ (USACE) Hydrologic Center’s hydrologic Modeling System (HEC-HMS). We used the hydrologic model to evaluate the effectiveness of the existing flood mitigation structures with respect to discharge and to identify the high runoff potential areas. We also investigated the potential impact of two additional flood mitigation practices within the Soap Creek Watershed by utilizing the hydrologic model, which includes changing the land use and improving the soil quality. The HEC-HMS model simulated 24-hour design storms with different return periods, including 10, 25, 50, and 100 year. The results from modeling four design storms revealed that all three practices can reduce the peak discharge at different levels. The existing detention ponds were shown to reduce the peak discharge by 28% to 40% depending on the choice of observed locations and design storms. However, changing the land use can reduce the peak discharge by an average of only 1.0 %, whereas improving the soil quality can result in an average of 15 % reduction. Additionally, we designed a hydraulic model using the United States Army Corps of Engineers’ (USACE) Hydrologic Engineering Center’s River Analysis System (HEC- RAS) to perform a comparative evaluation of hydrologic and hydraulic routing methods. The hydrologic routing method employed in this study is the Muskingum Routing method. We compare the historical and design storms between HEC-HMS, HEC-RAS, and observed stage hydrographs and take the hydrograph timing, shape, and magnitude into account. Our results indicate that the hydraulic routing method simulates the hydrograph shape more effectively in this case.
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Fabbiani-Leon, Angelique Marie. "Comparison method between gridded and simulated snow water equivalent estimates to in-situ snow sensor readings". Thesis, University of California, Davis, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1604056.

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California Department of Water Resources (DWR) Snow Surveys Section has recently explored the potential use of recently developed hydrologic models to estimate snow water equivalent (SWE) for the Sierra Nevada mountain range. DWR Snow Surveys Section’s initial step is to determine how well these hydrologic models compare to the trusted regression equations, currently used by DWR Snow Surveys Section. A comparison scheme was ultimately developed between estimation measures for SWE by interpreting model results for the Feather River Basin from: a) National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL) gridded SWE reconstruction product, b) United States Geological Survey (USGS) Precipitation-Runoff Modeling System (PRMS), and c) DWR Snow Surveys Section regression equations. Daily SWE estimates were extracted from gridded results by computing an average SWE based on 1,000 ft elevation band increments from 3,000 to 10,000 ft (i.e. an elevation band would be from 3,000 to 4,000 ft). The dates used for processing average SWE estimates were cloud-free satellite image dates during snow ablation months, March to August, for years 2000–2012. The average SWE for each elevation band was linearly interpolated for each snow sensor elevation. The model SWE estimates were then compared to the snow sensor readings used to produce the snow index in DWR’s regression equations. In addition to comparing JPL’s SWE estimate to snow sensor readings, PRMS SWE variable for select hydrologic response units (HRU) were also compared to snow sensor readings. Research concluded with the application of statistical methods to determine the reliability in the JPL products and PRMS simulated SWE variable, with results varying depending on time duration being analyzed and elevation range.

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Dolder, Herman Guillermo. "A Method for Using Pre-Computed Scenarios of Physically-Based Spatially-Distributed Hydrologic Models in Flood Forecasting Systems". BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5676.

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Every year floods are responsible of a significant number of human losses, many of which could be avoided with a broader implementation of flood forecasting systems. Nevertheless, there are still some technological and economic limitations that impede the creation of these systems in many parts of the world. At the core of many flood forecasting systems is a hydrologic model that transforms the weather forecast into a flow forecast. Using real-time modeling for potential floods poses a series of problems: if the model is complex, the computational power required can be significant, and consequently expensive, and if the model is simple enough to run on regular computers in the time allotted, it is likely that the results will not be accurate enough to be useful. I propose the development of a standardized method for using pre-computed scenarios as an alternative to real-time flood modeling. I explain how pre-computing has been used on other realms in the past, and how it is beginning to be implemented in different branches of hydrology, the prediction coastal flooding due to storms or tsunamis being one of the most developed. My research has focused on answering the questions that arise during the design stage of a flood forecasting system not only for rain or snow driven floods, but also by anthropogenic-produced floods. I analyze the number of parameters and their granularity to be used to create the scenarios, the accuracy of the results, different strategies to implement the systems, etc. Finally, I present some test-cases of the application of the method, and assess their results.
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6

Zhang, Meijing. "Quantifying high-resolution hydrologic parameters at the basin scale using InSAR and inverse modeling, Las Vegas Valley, NV". Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/50833.

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The overall goal of this dissertation is to determine and develop optimal strategies for inversely calibrating transmissivities (T), elastic and inelastic skeletal storage coefficients (Ske and Skv) of the developed-zone aquifer and conductance (CR) of the basin-fill faults for the entire Las Vegas basin, and to investigate future trends of land subsidence in Las Vegas Valley. This dissertation consists of three separate stand-alone chapters. Chapter 2 presents a discrete adjoint parameter estimation (APE) algorithm for automatically identifying suitable hydraulic parameter zonations from hydraulic head and subsidence measurements. Chapter 3 compares three different inversion strategies to determine the most accurate and computationally efficient method for estimating T and Ske and Skv at the basin scale: the zonation method (ZM), the adaptive multi-scale method and the Differential Evolution Adaptive Metropolis Markov chain Monte Carlo scheme (DREAM MCMC). Chapter 4 outlines a fine-scale numerical model capable of capturing far more hydrologic detail than any previously developed model of Las Vegas Valley The new model is calibrated using high-resolution InSAR data and hydraulic head data from 1912 to 2010. The calibrated model is used to investigate the influence of faults and their potential role on influencing clay thicknesses and land subsidence distributions, and to investigate future trends of land subsidence in Las Vegas Valley.
Ph. D.
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Desai, Ahmed Yacoob. "Development of a hydraulic sub-model as part of a desktop environmental flow assessment method". Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1006200.

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Countries around the world have been developing ecological policies to protect their water resources and minimise the impacts of development on their river systems. The concept of ‘minimum flows’ was initially established as a solution but it did not provide sufficient protection as all elements of a flow regime were found to be important for the protection of the river ecosystem. “Environmental flows” were developed to determine these flow regimes to maintain a river in some defined ecological condition. Rapid, initial estimates of the quantity component of environmental flows may be determined using the Desktop Reserve Model in South Africa. However, the Desktop Reserve Model is dependent upon the characteristics of the reference natural hydrology used. The advancements in hydraulic and ecological relationships from the past decade have prompted the development of a Revised Desktop Reserve Model (RDRM) that would incorporate these relationships. The research in this thesis presents the development of the hydraulic sub-model for the RDRM. The hydraulic sub-model was designed to produce a realistic representation of the hydraulic conditions using hydraulic parameters/characteristics from readily available information for any part of South Africa. Hydraulic data from past EWR studies were used to estimate the hydraulic parameters. These estimated hydraulic parameters were used to develop hydraulic estimation relationships and these relationships were developed based on a combination of regression and rule-based procedures. The estimation relationships were incorporated into the hydraulic sub-model of the integrated RDRM and assessments of the hydraulic outputs and EWR results were undertaken to assess the ‘applicability’ of the hydraulic sub-model. The hydraulic sub-model was assessed to be at a stage where it can satisfactorily be incorporated in the RDRM and that it is adequately robust in many situations. Recommendations for future work include the refinement of estimation of the channel forming discharge or the use of spatial imagery to check the maximum channel width estimation. It is also proposed that a future version of the hydraulic sub-model could include flow regime change impacts on channel geomorphology and sedimentology so that flow management scenarios can be more effectively assessed.
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Hadley, Jennifer Lyn. "Near real-time runoff estimation using spatially distributed radar rainfall data". Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/346.

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The purpose of this study was to evaluate variations of the Natural Resources Conservation Service (NRCS) curve number (CN) method for estimating near real-time runoff for naturalized flow, using high resolution radar rainfall data for watersheds in various agro-climatic regions of Texas. The CN method is an empirical method for calculating surface runoff which has been tested on various systems over a period of several years. Many of the findings of previous studies indicate the need to develop variations of this method to account for regional and seasonal changes in weather patterns and land cover that might affect runoff. This study seeks to address these issues, as well as the inherent spatial variability of rainfall, in order to develop a means of predicting runoff in near real-time for water resource management. In the past, raingauge networks have provided data for hydrologic models. However, these networks are generally unable to provide data in real-time or capture the spatial variability associated with rainfall. Radar networks, such as the Next Generation Weather Radar (NEXRAD) of the National Weather Service (NWS), which are widely available and continue to improve in quality and resolution, can accomplish these tasks. In general, a statistical comparison of the raingauge and NEXRAD data, where both were available, shows that the radar data is as representative of observed rainfall as raingauge data. In this study, watersheds of mostly homogenous land cover and naturalized flow were used as study areas. Findings indicate that the use of a dry antecedent moisture condition CN value and an initial abstraction (Ia) coefficient of 0.1 produced statistically significant results for eight out of the ten watersheds tested. The urban watershed used in this study produced more significant results with the use of the traditional 0.2 Ia coefficient. The predicted results before and during the growing season, in general, more closely agreed with the observed runoff than those after the growing season. The overall results can be further improved by altering the CN values to account for seasonal vegetation changes, conducting field verification of land cover condition, and using bias-corrected NEXRAD rainfall data.
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Dehm, Dustin. "A Small Unmanned Aerial System (sUAS) Based Method for Monitoring Wetland Inundation & Vegetation". University of Toledo / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1556713788128588.

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Friedrich, Marciano. "Influência da precipitação no uso do método silveira para bacias hidrográficas entre 800 a 1000 km²". Universidade Federal de Santa Maria, 2017. http://repositorio.ufsm.br/handle/1/12185.

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The increasing demand for water resources, for the most diverse purposes, has evidenced a still deficient scenario in relation to fluviometric monitoring, especially in river basins with areas smaller than 1000 km², in large part of the regions of Brazil. Inevitably, these demands are linked to water availability and your determination in lack of measured data becomes necessary to resort to techniques such as regionalization of flows, or the simulation through rain-flow models. However, a period of hydrological monitoring data is still necessary to enable the application of these methodologies. In 1997 it was proposed a method that uses a few samplings of local flow measurements for the determination of the minimum flows through a rain-flow model, whose mathematical process involves two parameters, the Cinf and the Ksub. The first is related to water balance and the second to the river depletion. The objective of this work was to verify the influence of precipitation in the application of this methodology in basins between 800 and 1000 km² in order to subsidize information about the elaboration of a protocol of use of the method. For the case study, four basins with areas between 817 and 965 km² were used, with the availability of fluviometric and pluviometric data series. The methodology used was based on the Silveira method. Initially, rainfall scenarios were elaborated in the four basins for later selection of the drought events, which along with the rainfall scenarios, resulted in a total of 1407 simulations using the Silveira method. For each simulation, a flow continuity curve was generated. The determination of the errors was performed between the pairs of simulated flows and those observed for the considered percentiles. It was observed a tendency of improvement in the results of the simulations, translated by the smaller dispersion of errors, when the precipitation information from more than one pluviometric station is used. Regarding the spatial position of the pluviometric stations, it was verified that there were no significant impacts on the errors when data from the stations located at different points inside the basin and your surroundings.
A crescente demanda pelos recursos hídricos, para as mais diversas finalidades, tem evidenciado um cenário ainda deficitário em relação ao monitoramento fluviométrico, sobretudo em bacias hidrográficas com áreas inferiores a 1000 km², em grande parte das regiões do Brasil. As demandas estão vinculadas a disponibilidade hídrica e para a sua determinação em locais com carência de dados medidos torna-se necessário recorrer a técnicas como a regionalização de vazões, ou a simulação por meio de modelos chuva-vazão. Em 1997 foi proposto um método que se utiliza de poucas amostragens de medições de vazões locais para a determinação das vazões mínimas por meio de um modelo chuva-vazão, cujo processo matemático envolve dois parâmetros, o Cinf e o Ksub. O primeiro está relacionado ao balanço hídrico e o segundo ao deplecionamento fluvial. O objetivo desse trabalho foi verificar a influência da precipitação na aplicação dessa metodologia em bacias entre 800 a 1000 km² visando subsidiar informações acerca da elaboração de um protocolo de uso do método. Para o estudo de caso utilizaram-se quatro bacias com áreas entre 817 e 965 km² com disponibilidade de séries de dados fluviométricos e pluviométricos. A metodologia utilizada foi baseada no método Silveira. Inicialmente foram elaborados cenários de chuvas nas quatro bacias para posterior seleção dos eventos de estiagem, que juntamente com os cenários de chuvas, resultaram em um total de 1407 simulações por meio do uso do método Silveira. Para cada simulação foi gerada uma curva de permanência das vazões. A determinação dos erros foi realizada entre os pares de vazões simulados e os observados para os percentis considerados. Observou-se uma tendência de melhora nos resultados das simulações, traduzido pela menor dispersão dos erros, quando se utiliza informações de precipitação de mais de um posto pluviométrico. Com relação à posição espacial dos postos pluviométricos, verificou-se que não houve impactos significativos nos erros quando se utilizou dados dos postos localizados em diferentes pontos no interior da bacia e no seu entorno.
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Libros sobre el tema "Hydrologic Method"

1

Haeni, F. P. Application of seismic-refraction techniques to hydrologic studies. Washington, DC: U.S. Government Printing Office, 1988.

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Haeni, F. P. Application of seismic-refraction techniques to hydrologic studies. Hartford, Conn: U.S. Dept. of the Interior, Geological Survey, 1986.

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Haeni, F. P. Application of seismic-refraction techniques to hydrologic studies. Denver, Colo: US Geographical Survey, 1988.

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Haeni, F. P. Application of seismic-refraction techniques to hydrologic studies. Hartford, Conn: U.S. Dept. of the Interior, Geological Survey, 1986.

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Haeni, F. P. Application of seismic-refraction techniques to hydrologic studies. [Reston, Va.?]: Dept. of the Interior, U.S. Geological Survey, 1988.

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Haeni, F. P. Application of seismic-refraction techniques to hydrologic studies. [Reston, Va.?]: Dept. of the Interior, U.S. Geological Survey, 1988.

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Geological Survey (U.S.), ed. Application of seismic-refraction techniques to hydrologic studies. Hartford, Conn: U.S. Dept. of the Interior, Geological Survey, 1986.

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Haeni, F. P. Application of seismic-refraction techniques to hydrologic studies. [Reston, Va.?]: Dept. of the Interior, U.S. Geological Survey, 1988.

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Haeni, F. P. Application of seismic-refraction techniques to hydrologic studies. Hartford, Conn: U.S. Dept. of the Interior, Geological Survey, 1986.

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Haeni, F. P. Application of seismic-refraction techniques to hydrologic studies. [Reston, Va.?]: Dept. of the Interior, U.S. Geological Survey, 1988.

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Capítulos de libros sobre el tema "Hydrologic Method"

1

Mishra, S. K., Vijay P. Singh y P. K. Singh. "Revisiting the Soil Conservation Service Curve Number Method". En Hydrologic Modeling, 667–93. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5801-1_46.

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Ngodock, Hans y Matthew Carrier. "A Weak Constraint 4D-Var Assimilation System for the Navy Coastal Ocean Model Using the Representer Method". En Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II), 367–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35088-7_15.

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Zhou, Feifan, Xiaohao Qin, Boyu Chen y Mu Mu. "The Advances in Targeted Observations for Tropical Cyclone Prediction Based on Conditional Nonlinear Optimal Perturbation (CNOP) Method". En Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II), 577–607. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35088-7_24.

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Milroy, Scott P. "Common Hydrologic Census Methods". En Field Methods in Marine Science, 93–106. Boca Raton: Garland Science, 2021. http://dx.doi.org/10.1201/9781317302292-5.

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Chu, Xuefeng. "Quantifying Discontinuity, Connectivity, Variability, and Hierarchy in Overland Flow Generation: Comparison of Different Modeling Methods". En Hydrologic Modeling, 587–603. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5801-1_41.

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Priju, C. P., Jiby Francis, P. R. Arun y N. B. Narasimha Prasad. "Delineation of Paleochannels in Periyar River Basin of Kerala Using Remote Sensing and Electrical Resistivity Methods". En Hydrologic Modeling, 391–400. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5801-1_27.

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Arora, Kishore y Vijay P. Singh. "An Evaluation of Seven Methods for Estimating Parameters of EV1 Distribution". En Hydrologic Frequency Modeling, 383–94. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3953-0_27.

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Sivakumar, Bellie. "Stochastic Time Series Methods". En Chaos in Hydrology, 63–110. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-90-481-2552-4_3.

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Slimani, M. y T. Lebel. "Comparison of Three Methods of Estimating Rainfall Frequency Parameters According to the Duration of Accumulation". En Hydrologic Frequency Modeling, 277–91. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3953-0_19.

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Sivakumar, Bellie. "Modern Nonlinear Time Series Methods". En Chaos in Hydrology, 111–45. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-90-481-2552-4_4.

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Actas de conferencias sobre el tema "Hydrologic Method"

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Sang, Yan-fang y Dong Wang. "New Method for Estimating Periods in Hydrologic Series Data". En 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.85.

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THAKUR, RITICA, PRAVEEN RATHOD y V. L. MANEKAR. "SUITABILITY OF IMAGE CLASSIFICATION METHOD FOR HYDROLOGIC AND HYDRAULIC APPLICATIONS". En 38th IAHR World Congress. The International Association for Hydro-Environment Engineering and Research (IAHR), 2019. http://dx.doi.org/10.3850/38wc092019-6661.

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Yanfang, Sang, Wang Dong y Wu Jichun. "One Improved SAGA-ML Method for Parameters Estimation of Hydrologic Frequency Models". En 2009 WRI Global Congress on Intelligent Systems. IEEE, 2009. http://dx.doi.org/10.1109/gcis.2009.11.

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Sang, Yan-Fang, Dong Wang, Ji-Chun Wu, Qing-Ping Zhu y Ling Wang. "A New Method of Periods' Identification in Hydrologic Series Based on EEMD". En 2009 International Conference on Artificial Intelligence and Computational Intelligence. IEEE, 2009. http://dx.doi.org/10.1109/aici.2009.236.

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LaFond, Kaye M., Veronica W. Griffis y Patricia Spellman. "Forcing Hydrologic Models with GCM Output: Bias Correction vs. the "Delta Change" Method". En World Environmental and Water Resources Congress 2014. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413548.214.

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Li, J. Q., L. L. Xiang, W. Che y R. L. Ge. "Design and Hydrologic Estimation Method of Multi-Purpose Rain Garden: Beijing Case Study". En International Low Impact Development Conference 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/41009(333)67.

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Tao, Bangyi, Zhihua Mao, Difeng Wang, Jianyu Chen y Baogang Jin. "Numerical simulation of the light field in the hydrologic system using in situ inherent optical properties and matrix-operator method". En Remote Sensing, editado por Christopher M. U. Neale y Antonino Maltese. SPIE, 2010. http://dx.doi.org/10.1117/12.864897.

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Cortivo, Fabio Dall, Ezzat S. Chalhoub y Haroldo F. Campos Velho. "A committee of MLP with adaptive slope parameter trained by the quasi-Newton method to solve problems in hydrologic optics". En 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane). IEEE, 2012. http://dx.doi.org/10.1109/ijcnn.2012.6252665.

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Shopova, Donka y Olga Nitcheva. "ASSESSMENT OF ENVIRONMENTAL FLOW REQUIREMENTS ACCORDING TO BULGARIAN WATER LAW". En 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/3.1/s12.08.

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To maintain enough water in the river for ecosystems protection and river bed sanitation, water have to be allocated to ecosystems, as it is allocated to other users like domestic use and industry, agriculture and power generation. Water distribution is critical in dry periods. This requires proper determination of environmental flow (river ecosystem minimum permissible flow) by hydrology-based assessment methods. The purpose of this paper is to compare selected hydrological methods and to define the scientifically acceptable way to determine environmental flow within a section after the dam of some reservoirs in Bulgaria. As well as some critical reaches of the river network are determined where the necessary living environment for water communities is not provided. Here environmental flow is calculated using conventional hydrological methods: flow duration curve, the Q10% (average multiannual discharge) method and Q95% (yearly minimum monthly mean discharge with a 95% probability of occurrence) method, which are highlighted according to Bulgarian Water Law. In conclusion, the Q10% and Q95% methods allow obtaining environmental flow regimes on a monthly basis capable of adapting to the hydrological variability of the natural regime. The requirements and methods presented in the paper can be applied in the water management legislative process.
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Allred, Barry J., M. Reza Ehsani y Jeffrey J. Daniels. "The Impact on Electrical Conductivity Measurement Due to Soil Profile Properties, Shallow Hydrologic Conditions, Fertilizer Application, Agricultural Tillage, and the Type of Geophysical Method Employed". En Symposium on the Application of Geophysics to Engineering and Environmental Problems 2003. Environment and Engineering Geophysical Society, 2003. http://dx.doi.org/10.4133/1.2923175.

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Informes sobre el tema "Hydrologic Method"

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Alumbaugh, David L. y James R. Brainard. A Hydrologic-Geophysical Method for Characterizing Flow and Transport Processes within the Vadose Zone. Office of Scientific and Technical Information (OSTI), junio de 2000. http://dx.doi.org/10.2172/833714.

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Alumbaugh, David L. y James R. Brainard. A Hydrologic-Geophysical Method for Characterizing Flow and Transport Processes within the Vadose Zone. Office of Scientific and Technical Information (OSTI), junio de 2001. http://dx.doi.org/10.2172/833715.

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Alumbaugh, David L. y James R. Brainard. A Hydrologic-Geophysical Method for Characterizing Flow and Transport Processes within the Vadose Zone. Office of Scientific and Technical Information (OSTI), junio de 2004. http://dx.doi.org/10.2172/838688.

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David Alumbaugh, Douglas LaBrecque, James Brainard y T.C. A Hydrologic-geophysical Method for Characterizing Flow and Transport Processes Within The Vadose Zone. Office of Scientific and Technical Information (OSTI), enero de 2004. http://dx.doi.org/10.2172/820952.

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He, Jiachuan, Scott Hansen y Velimir Valentinov Vesselinov. Analysis of Hydrologic Time Series Reconstruction UncertaintyDue to Inverse Model InadequacyUsing the Laguerre Expansion Method. Office of Scientific and Technical Information (OSTI), enero de 2017. http://dx.doi.org/10.2172/1338783.

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Doughty, Christine. Estimation of hydrologic properties of heterogeneous geologic media with an inverse method based on iterated function systems. Office of Scientific and Technical Information (OSTI), diciembre de 1995. http://dx.doi.org/10.2172/195663.

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Doughty, Christine A. Estimation of hydrologic properties of heterogeneous geologic media with an inverse method based on iterated function systems. Office of Scientific and Technical Information (OSTI), mayo de 1996. http://dx.doi.org/10.2172/241577.

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Howard, Heidi, Chad Helmle, Raina Dwivedi y Daniel Gambill. Stormwater Management and Optimization Toolbox. Engineer Research and Development Center (U.S.), enero de 2021. http://dx.doi.org/10.21079/11681/39480.

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As stormwater regulations for hydrologic and water quality control become increasingly stringent, Department of Defense (DoD) facilities are faced with the daunting task of complying with multiple laws and regulations. This often requires facilities to plan, design, and implement structural best management practices (BMPs) to capture, filter, and/or infiltrate runoff—requirements that can be complicated, contradictory, and difficult to plan. This project demonstrated the Stormwater Management Optimization Toolbox (SMOT), a spreadsheet-based tool that effectively analyzes and plans for compliance to the Energy Independence and Security Act (EISA) of 2007 pre-hydrologic conditions through BMP implementation, resulting in potential cost savings by reducing BMP sizes while simultaneously achieving compliance with multiple objectives. SMOT identifies the most cost-effective modeling method based on an installation’s local conditions (soils, rainfall patterns, drainage network, and regulatory requirements). The work first demonstrated that the Model Selection Tool (MST) recommendation accurately results in the minimum BMP cost for 45 facilities of widely varying climatic and regional conditions, and then demonstrated SMOT at two facilities.
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Huang, Tao y Venkatesh Merwade. Developing Customized NRCS Unit Hydrographs (Finley UHs) for Ungauged Watersheds in Indiana. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317644.

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The Natural Resources Conservation Service (NRCS, formerly the Soil Conservation Service, SCS) unit hydrograph (UH) is one of the most commonly used synthetic UH methods for hydrologic modeling and engineering design all over the world. However, previous studies have shown that the application of the NRCS UH method for some ungauged watersheds in the state of Indiana produced unrealistic flood predictions for both the peak discharge and the time to peak. The objective of this work is to customize the NRCS UH by analyzing the role of its two key parameters, namely, the peak rate factor (PRF) and the lag time, in creating the runoff hydrograph. Based on 120 rainfall-runoff events collected from 30 small watersheds in Indiana over the past two decades, the observed UHs are derived and the corresponding PRF and lag time are extracted. The observed UHs in Indiana show that the mean value of PRF is 371, which is lower than the standard PRF of 484, and the NRCS lag time equation tends to underestimate the “true” lag time. Moreover, a multiple linear regression method, especially the stepwise selection technique, is employed to relate the NRCS UH parameters to the most appropriate geomorphic attributes extracted from the study watersheds. Both the statewide and regional regression models show that the main channel slope is a major factor in determining the PRF and lag time. A customized Indiana unit hydrograph, referred as Finley UH to honor David Finley who inspired this study, is derived with updated parameters and the Gamma function. Validation results show that the Finley UH provides more reliable and accurate predictions in terms of the peak discharge and the time to peak than the original NRCS UH for the watersheds in Indiana.
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Jenkins, E. W., R. C. Berger, J. P. Hallberg, S. E. Howington, C. T. Kelley, J. H. Schmidt, A. K. Stagg y M. D. Tocci. A Two-Level Aggregation-Based Newton-Krylov-Schwartz Method for Hydrology. Fort Belvoir, VA: Defense Technical Information Center, enero de 1999. http://dx.doi.org/10.21236/ada445744.

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