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Journal articles on the topic 'Hydrologic simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Peters-Lidard, Christa D., Martyn Clark, Luis Samaniego, et al. "Scaling, similarity, and the fourth paradigm for hydrology." Hydrology and Earth System Sciences 21, no. 7 (2017): 3701–13. http://dx.doi.org/10.5194/hess-21-3701-2017.

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Abstract. In this synthesis paper addressing hydrologic scaling and similarity, we posit that roadblocks in the search for universal laws of hydrology are hindered by our focus on computational simulation (the third paradigm) and assert that it is time for hydrology to embrace a fourth paradigm of data-intensive science. Advances in information-based hydrologic science, coupled with an explosion of hydrologic data and advances in parameter estimation and modeling, have laid the foundation for a data-driven framework for scrutinizing hydrological scaling and similarity hypotheses. We summarize

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2

Cho, Younghyun, and Bernard A. Engel. "NEXRAD Quantitative Precipitation Estimations for Hydrologic Simulation Using a Hybrid Hydrologic Model." Journal of Hydrometeorology 18, no. 1 (2016): 25–47. http://dx.doi.org/10.1175/jhm-d-16-0013.1.

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Abstract A hybrid hydrologic model (lumped conceptual and distributed feature model), Distributed-Clark, is introduced to perform hydrologic simulations using spatially distributed NEXRAD quantitative precipitation estimations (QPEs). In Distributed-Clark, spatially distributed excess rainfall estimated with the Soil Conservation Service (SCS) curve number method and a GIS-based set of separated unit hydrographs are utilized to calculate a direct runoff flow hydrograph. This simple approach using few modeling parameters reduces calibration complexity relative to physically based distributed (P

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3

Maxwell, R. M., L. E. Condon, and S. J. Kollet. "Simulation of groundwater and surface water over the continental US using a hyperresolution, integrated hydrologic model." Geoscientific Model Development Discussions 7, no. 6 (2014): 7317–49. http://dx.doi.org/10.5194/gmdd-7-7317-2014.

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Abstract. Interactions between surface and groundwater systems are well-established theoretically and observationally. While numerical models that solve both surface and subsurface flow equations in a single framework (matrix) are increasingly being applied, computational limitations have restricted their use to local and regional studies. Regional or watershed, scale simulations have been effective tools in understanding hydrologic processes, however there are still many questions, such as the adaptation of water resources to anthropogenic stressors and climate variability, that need to be an

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4

Gourley, Jonathan J., Scott E. Giangrande, Yang Hong, Zachary L. Flamig, Terry Schuur, and Jasper A. Vrugt. "Impacts of Polarimetric Radar Observations on Hydrologic Simulation." Journal of Hydrometeorology 11, no. 3 (2010): 781–96. http://dx.doi.org/10.1175/2010jhm1218.1.

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Abstract Rainfall estimated from the polarimetric prototype of the Weather Surveillance Radar-1988 Doppler [WSR-88D (KOUN)] was evaluated using a dense Micronet rain gauge network for nine events on the Ft. Cobb research watershed in Oklahoma. The operation of KOUN and its upgrade to dual polarization was completed by the National Severe Storms Laboratory. Storm events included an extreme rainfall case from Tropical Storm Erin that had a 100-yr return interval. Comparisons with collocated Micronet rain gauge measurements indicated all six rainfall algorithms that used polarimetric observations

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5

Sang, Guo Qing, Sheng Le Cao, and Ze Biao Wei. "Research and Application of the Combined of SWMM and Tank Model." Applied Mechanics and Materials 166-169 (May 2012): 593–99. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.593.

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Hydrologic Model is the basic tool of simulation of the runoff generation and confluence of the basin. It is widely used in the research of hydrologic process of the drainage basin. In this paper, the characteristics of SWMM Model and Tank Model were introduced. The SWMM-Tank model was established that combined with advantages of the SWMM and Tank model. This model was used in hydrological simulation of the Big Ning river basin. The Surface and Underground runoff was simulated respectively using the SWMM model and Tank model. The simulation results show that the SWMM-Tank model can meet the re

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6

Somes, Nicholas L. G., and Tony H. F. Wong. "Designing outlet characteristics for optimal wetland performance." Water Science and Technology 36, no. 8-9 (1997): 235–40. http://dx.doi.org/10.2166/wst.1997.0672.

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Central to the hydrological and botanical design of constructed wetlands for stormwater quality management is the proper control of their hydrologic regime. The hydrologic regime, defined as the probabilistic distribution of inundation depth in the wetland, reflects the inherent variability of storm inflows to the wetland and is directly influenced by the discharge characteristics of the outlet structure of the wetland. The influence of three typical outlet structures on the hydrologic regime of a hypothetical wetland was investigated using a continuous simulation approach. The three outlet ty

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7

Chen, Gang, Wenjuan Hua, Xing Fang, Chuanhai Wang, and Xiaoning Li. "Distributed-Framework Basin Modeling System: II. Hydrologic Modeling System." Water 13, no. 5 (2021): 744. http://dx.doi.org/10.3390/w13050744.

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A distributed-framework hydrologic modeling system (DF-HMS) is a primary and significant component of a distributed-framework basin modeling system (DFBMS), which simulates the hydrological processes and responses after rainfall at the basin scale, especially for non-homogenous basins. The DFBMS consists of 11 hydrological feature units (HFUs) involving vertical and horizontal geographic areas in a basin. Appropriate hydrologic or hydraulic methods are adopted for different HFUs to simulate corresponding hydrological processes. The digital basin generation model is first developed to determine

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8

Solakian, Jennifer, Viviana Maggioni, and Adil Godrej. "Investigating the Error Propagation from Satellite-Based Input Precipitation to Output Water Quality Indicators Simulated by a Hydrologic Model." Remote Sensing 12, no. 22 (2020): 3728. http://dx.doi.org/10.3390/rs12223728.

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This study investigated the propagation of errors in input satellite-based precipitation products (SPPs) on streamflow and water quality indicators simulated by a hydrological model in the Occoquan Watershed, located in the suburban Washington, D.C. area. A dense rain gauge network was used as reference to evaluate three SPPs which are based on different retrieval algorithms. A Hydrologic Simulation Program-FORTRAN (HSPF) hydrology and water quality model was forced with the three SPPs to simulate output of streamflow (Q), total suspended solids (TSS), stream temperature (TW), and dissolved ox

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9

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.

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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

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10

Maxwell, R. M., L. E. Condon, and S. J. Kollet. "A high-resolution simulation of groundwater and surface water over most of the continental US with the integrated hydrologic model ParFlow v3." Geoscientific Model Development 8, no. 3 (2015): 923–37. http://dx.doi.org/10.5194/gmd-8-923-2015.

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Abstract. Interactions between surface and groundwater systems are well-established theoretically and observationally. While numerical models that solve both surface and subsurface flow equations in a single framework (matrix) are increasingly being applied, computational limitations have restricted their use to local and regional studies. Regional or watershed-scale simulations have been effective tools for understanding hydrologic processes; however, there are still many questions, such as the adaptation of water resources to anthropogenic stressors and climate variability, that can only be

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11

Wurbs, Ralph A., and Patrick E. Carriere. "Hydrologic simulation of reservoir storage reallocations." International Journal of Water Resources Development 9, no. 1 (1993): 51–64. http://dx.doi.org/10.1080/07900629308722573.

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12

Huang, Shu-Li, and John D. Keenan. "HYDROLOGIC SIMULATION OF THE BRANDYWINE BASIN1." JAWRA Journal of the American Water Resources Association 23, no. 3 (1987): 403–21. http://dx.doi.org/10.1111/j.1752-1688.1987.tb00819.x.

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13

Terink, W., A. F. Lutz, G. W. H. Simons, W. W. Immerzeel, and P. Droogers. "SPHY v2.0: Spatial Processes in HYdrology." Geoscientific Model Development 8, no. 7 (2015): 2009–34. http://dx.doi.org/10.5194/gmd-8-2009-2015.

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Abstract. This paper introduces and presents the Spatial Processes in HYdrology (SPHY) model (v2.0), its development background, its underlying concepts, and some example applications. SPHY has been developed with the explicit aim of simulating terrestrial hydrology on flexible scales, under various physiographical and hydroclimatic conditions, by integrating key components from existing and well-tested models. SPHY is a spatially distributed leaky bucket type of model, and is applied on a cell-by-cell basis. The model is written in the Python programming language using the PCRaster dynamic mo

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14

Bai, Yining, Saeed P. Langarudi, and Alexander G. Fernald. "System Dynamics Modeling for Evaluating Regional Hydrologic and Economic Effects of Irrigation Efficiency Policy." Hydrology 8, no. 2 (2021): 61. http://dx.doi.org/10.3390/hydrology8020061.

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Exploring the dynamic mechanisms of coupled sociohydrologic systems is necessary to solve future water sustainability issues. This paper employs system dynamics modeling to determine hydrologic and economic implications of an irrigation efficiency (IE) policy (increased conveyance efficiency and field efficiency) in a coupled sociohydrologic system with three climate scenarios. Simulations are conducted within the lower Rio Grande region (LRG) of New Mexico for the years 1969 to 2099, including water, land, capital, and population modules. Quadrant analysis is utilized to compare the IE policy

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15

He, Zili, Zhi Wang, C. John Suen, and Xiaoyi Ma. "Hydrologic sensitivity of the Upper San Joaquin River Watershed in California to climate change scenarios." Hydrology Research 44, no. 4 (2012): 723–36. http://dx.doi.org/10.2166/nh.2012.441.

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To examine the hydrological system sensitivity of the southern Sierra Nevada Mountains of California to climate change scenarios (CCS), five headwater basins in the snow-dominated Upper San Joaquin River Watershed (USJRW) were selected for hydrologic simulations using the Hydrological Simulation Program-Fortran (HSPF) model. A pre-specified set of CCS as projected by the Intergovernmental Panel on Climate Change (IPCC) were adopted as inputs for the hydrologic analysis. These scenarios include temperature increases between 1.5 and 4.5 °C and precipitation variation between 80 and 120% of the b

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16

Schaefli, B., L. Nicótina, C. Imfeld, P. Da Ronco, E. Bertuzzo, and A. Rinaldo. "SEHR-ECHO v1.0: a Spatially Explicit Hydrologic Response model for ecohydrologic applications." Geoscientific Model Development 7, no. 6 (2014): 2733–46. http://dx.doi.org/10.5194/gmd-7-2733-2014.

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Abstract. This paper presents the Spatially Explicit Hydrologic Response (SEHR) model developed at the Laboratory of Ecohydrology of the Ecole Polytechnique Fédérale de Lausanne for the simulation of hydrological processes at the catchment scale. The key concept of the model is the formulation of water transport by geomorphologic travel time distributions through gravity-driven transitions among geomorphic states: the mobilization of water (and possibly dissolved solutes) is simulated at the subcatchment scale and the resulting responses are convolved with the travel paths distribution within

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17

Schaefli, B., L. Nicótina, C. Imfeld, P. Da Ronco, E. Bertuzzo, and A. Rinaldo. "SEHR-ECHO v1.0: a Spatially-Explicit Hydrologic Response model for ecohydrologic applications." Geoscientific Model Development Discussions 7, no. 2 (2014): 1865–904. http://dx.doi.org/10.5194/gmdd-7-1865-2014.

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Abstract. This paper presents the Spatially-Explicit Hydrologic Response (SEHR) model developed at the Laboratory of Ecohydrology of the Ecole Polytechnique Fédérale de Lausanne for the simulation of hydrological processes at the catchment scale. The key concept of the model is the formulation of water transport by geomorphologic travel time distributions through gravity-driven transitions among geomorphic states: the mobilization of water (and possibly dissolved solutes) is simulated at the sub-catchment scale and the resulting responses are convolved with the travel paths distribution within

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18

Koczot, Kathryn M., Steven L. Markstrom, and Lauren E. Hay. "Effects of Baseline Conditions on the Simulated Hydrologic Response to Projected Climate Change." Earth Interactions 15, no. 27 (2011): 1–23. http://dx.doi.org/10.1175/2011ei378.1.

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AbstractChanges in temperature and precipitation projected from five general circulation models, using one late-twentieth-century and three twenty-first-century emission scenarios, were downscaled to three different baseline conditions. Baseline conditions are periods of measured temperature and precipitation data selected to represent twentieth-century climate. The hydrologic effects of the climate projections are evaluated using the Precipitation-Runoff Modeling System (PRMS), which is a watershed hydrology simulation model. The Almanor Catchment in the North Fork of the Feather River basin,

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19

Jiang, S., L. Ren, X. Yang, M. Ma, and Y. Liu. "Multi-model ensemble hydrologic prediction and uncertainties analysis." Proceedings of the International Association of Hydrological Sciences 364 (September 16, 2014): 249–54. http://dx.doi.org/10.5194/piahs-364-249-2014.

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Abstract. Modelling uncertainties (i.e. input errors, parameter uncertainties and model structural errors) inevitably exist in hydrological prediction. A lot of recent attention has focused on these, of which input error modelling, parameter optimization and multi-model ensemble strategies are the three most popular methods to demonstrate the impacts of modelling uncertainties. In this paper the Xinanjiang model, the Hybrid rainfall–runoff model and the HYMOD model were applied to the Mishui Basin, south China, for daily streamflow ensemble simulation and uncertainty analysis. The three models

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20

McGuire, A. D., J. E. Walsh, J. S. Kimball, et al. "The Western Arctic Linkage Experiment (WALE): Overview and Synthesis." Earth Interactions 12, no. 7 (2008): 1–13. http://dx.doi.org/10.1175/2008ei239.1.

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Abstract The primary goal of the Western Arctic Linkage Experiment (WALE) was to better understand uncertainties of simulated hydrologic and ecosystem dynamics of the western Arctic in the context of 1) uncertainties in the data available to drive the models and 2) different approaches to simulating regional hydrology and ecosystem dynamics. Analyses of datasets on climate available for driving hydrologic and ecosystem models within the western Arctic during the late twentieth century indicate that there are substantial differences among the mean states of datasets for temperature, precipitati

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21

Arnold, J. G., R. Srinivasan, R. S. Muttiah, and P. M. Allen. "CONTINENTAL SCALE SIMULATION OF THE HYDROLOGIC BALANCE." Journal of the American Water Resources Association 35, no. 5 (1999): 1037–51. http://dx.doi.org/10.1111/j.1752-1688.1999.tb04192.x.

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22

Maskey, Mahesh L., Carlos E. Puente, Bellie Sivakumar, and Andrea Cortis. "Deterministic Simulation of Mildly Intermittent Hydrologic Records." Journal of Hydrologic Engineering 22, no. 8 (2017): 04017026. http://dx.doi.org/10.1061/(asce)he.1943-5584.0001531.

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23

DUTTA, Dushmanta, Srikantha HERATH, and Katumi MUSIAKE. "DISTRIBUTED HYDROLOGIC MODEL FOR FLOOD INUNDATION SIMULATION." PROCEEDINGS OF HYDRAULIC ENGINEERING 43 (1999): 25–30. http://dx.doi.org/10.2208/prohe.43.25.

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24

Eimers, Jo Leslie. "“Parameter Sensitivity Analysis for Hydrologic Simulation Models”." Water International 13, no. 4 (1988): 235. http://dx.doi.org/10.1080/02508068808687097.

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25

Tahal, E. Simon. "“Parameter Sensitivity Analysis for Hydrologic Simulation Models”." Water International 13, no. 4 (1988): 235–36. http://dx.doi.org/10.1080/02508068808687098.

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26

Simon, E. "Parameter Sensitivity Analysis For Hydrologic Simulation Models." Water International 13, no. 1 (1988): 46–56. http://dx.doi.org/10.1080/02508068808691989.

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27

Band, Lawrence E., and Eric F. Wood. "Strategies for large-scale, distributed hydrologic simulation." Applied Mathematics and Computation 27, no. 1 (1988): 23–37. http://dx.doi.org/10.1016/0096-3003(88)90096-3.

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28

Stanić, Miloš, Andrijana Todorović, Željko Vasilić, and Jasna Plavšić. "Extreme flood reconstruction by using the 3DNet platform for hydrological modelling." Journal of Hydroinformatics 20, no. 4 (2017): 766–83. http://dx.doi.org/10.2166/hydro.2017.050.

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Abstract Notwithstanding recent advances in hydrological modelling, flood simulations remain challenging since many processes must be simulated with high computational efficiency. This paper presents a novel geographic information system (GIS)-oriented platform 3DNet and the associated hydrologic model, with focus on the platform and model features that are relevant for flood simulations. The platform enables hydraulic structures to be incorporated in the hydrologic model, as well as water retention. A limiting capacity can be imposed on every river reach enabling estimation of flooding volume

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29

Noor, Hamzeh, Mahdi Vafakhah, Masoud Taheriyoun, and Mahnoosh Moghadasi. "Hydrology modelling in Taleghan mountainous watershed using SWAT." Journal of Water and Land Development 20, no. 1 (2014): 11–18. http://dx.doi.org/10.2478/jwld-2014-0003.

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Abstract Mountainous regions in Iran are important sources of surface water supply and groundwater recharge. Therefore, accurate simulation of hydrologic processes in mountains at large scales is important for water resource management and for watershed management planning. Snow hydrology is the more important hydrologic process in mountainous watersheds. Therefore, streamflow simulation in mountainous watersheds is often challenging because of irregular topography and complex hydrological processes. In this study, the Soil and Water Assessment Tool (SWAT) was used to model daily runoff in the

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30

Zhang, J. L., Y. P. Li, G. H. Huang, C. X. Wang, and G. H. Cheng. "Evaluation of Uncertainties in Input Data and Parameters of a Hydrological Model Using a Bayesian Framework: A Case Study of a Snowmelt–Precipitation-Driven Watershed." Journal of Hydrometeorology 17, no. 8 (2016): 2333–50. http://dx.doi.org/10.1175/jhm-d-15-0236.1.

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Abstract In this study, a Bayesian framework is proposed for investigating uncertainties in input data (i.e., temperature and precipitation) and parameters in a distributed hydrological model as well as their effects on the runoff response in the Kaidu watershed (a snowmelt–precipitation-driven watershed). In the Bayesian framework, the Soil and Water Assessment Tool (SWAT) is used for providing the basic hydrologic protocols. The Delayed Rejection Adaptive Metropolis (DRAM) algorithm is employed for the inference of uncertainties in input data and model parameters with global and local adapti

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31

Zhou, Minmin, Simin Qu, Xueqiu Chen, et al. "Impact Assessments of Rainfall–Runoff Characteristics Response Based on Land Use Change via Hydrological Simulation." Water 11, no. 4 (2019): 866. http://dx.doi.org/10.3390/w11040866.

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The hydrology response was studied considering the established fact of land use change in Dapoling basin. The whole period was divided into two (1965–1985 and 1986–2012) according to the major land use and land cover change in this region. Xinanjiang model was used to simulate discharge data in the two periods. The hydrologic response to the change could be evaluated by inspecting the response of model parameters and flood elements. The results show that the lag time varied, and the hydrologic elements including the mean runoff depth, flood peak and kurtosis coefficient varied with the rainfal

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32

Gourley, Jonathan J., Yang Hong, Zachary L. Flamig, Jiahu Wang, Humberto Vergara, and Emmanouil N. Anagnostou. "Hydrologic Evaluation of Rainfall Estimates from Radar, Satellite, Gauge, and Combinations on Ft. Cobb Basin, Oklahoma." Journal of Hydrometeorology 12, no. 5 (2011): 973–88. http://dx.doi.org/10.1175/2011jhm1287.1.

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Abstract This study evaluates rainfall estimates from the Next Generation Weather Radar (NEXRAD), operational rain gauges, Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) in the context as inputs to a calibrated, distributed hydrologic model. A high-density Micronet of rain gauges on the 342-km2 Ft. Cobb basin in Oklahoma was used as reference rainfall to calibrate the National Weather Service’s (NWS) Hydrology Labora

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33

Lima Neto, Otacílio Correia, Alfredo Ribeiro Neto, Fellipe Henrique Borba Alves, and José Almir Cirilo. "Sub-daily hydrological-hydrodynamic simulation in flash flood basins: Una river (Pernambuco/Brazil)." Ambiente e Agua - An Interdisciplinary Journal of Applied Science 15, no. 5 (2020): 1. http://dx.doi.org/10.4136/ambi-agua.2556.

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Flash floods are observed in the Una River Basin, Pernambuco/Brazil. This particular type of flood is a short-duration hydrological event with occurrence of the peak flow within minutes to few hours after the onset of the rainfall, taking place typically in mountainous regions. The objective of the paper was to assess the sub-daily hydrological and hydrodynamic modeling of flood events in 2011 and 2017. Sub-daily precipitation and streamflow were applied to the models Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) and River Analysis System (HEC-RAS). Model evaluation method

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Wang, Zhaoli, Jiachao Chen, Chengguang Lai, Ruida Zhong, Xiaohong Chen, and Haijun Yu. "Hydrologic assessment of the TMPA 3B42-V7 product in a typical alpine and gorge region: the Lancang River basin, China." Hydrology Research 49, no. 6 (2018): 2002–15. http://dx.doi.org/10.2166/nh.2018.024.

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Abstract To evaluate the accuracy and applicability of the TMPA 3B42-V7 precipitation product for the Lancang River basin, we used different statistical indices to explore the performance of the product in comparison to gauge data. Then, we performed a hydrologic simulation using the Variable Infiltration Capacity (VIC) hydrological model with two scenarios (Scenario I: streamflow simulation using gauge-calibrated parameters; Scenario II: streamflow simulation using 3B42-V7-recalibrated parameters) to verify the applicability of the product. The results of the precipitation analysis show good

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Smiatek, Gerhard, and Harald Kunstmann. "Simulating Future Runoff in a Complex Terrain Alpine Catchment with EURO-CORDEX Data." Journal of Hydrometeorology 20, no. 9 (2019): 1925–40. http://dx.doi.org/10.1175/jhm-d-18-0214.1.

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Abstract With large elevation gradients and high hydrometeorological variability, Alpine catchments pose special challenges to hydrological climate change impact assessment. Data from seven regional climate models run within the Coordinated Regional Climate Downscaling Experiments (CORDEX), each driven with a different boundary forcing, are used to exemplarily evaluate the reproduction of observed flow duration curves and access the future discharge of the Ammer River located in Alpine southern Germany applying the hydrological simulation model called the Water Flow and Balance Simulation Mode

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Kim, Seokhyeon, Hoori Ajami, and Ashish Sharma. "Using Remotely Sensed Information to Improve Vegetation Parameterization in a Semi-Distributed Hydrological Model (SMART) for Upland Catchments in Australia." Remote Sensing 12, no. 18 (2020): 3051. http://dx.doi.org/10.3390/rs12183051.

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Appropriate representation of the vegetation dynamics is crucial in hydrological modelling. To improve an existing limited vegetation parameterization in a semi-distributed hydrologic model, called the Soil Moisture and Runoff simulation Toolkit (SMART), this study proposed a simple method to incorporate daily leaf area index (LAI) dynamics into the model using mean monthly LAI climatology and mean rainfall. The LAI-rainfall sensitivity is governed by a parameter that is optimized by maximizing the Pearson correlation coefficient (R) between the estimated and satellite-derived LAI time series.

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Perra, Enrica, Monica Piras, Roberto Deidda, et al. "Multimodel assessment of climate change-induced hydrologic impacts for a Mediterranean catchment." Hydrology and Earth System Sciences 22, no. 7 (2018): 4125–43. http://dx.doi.org/10.5194/hess-22-4125-2018.

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Abstract. This work addresses the impact of climate change on the hydrology of a catchment in the Mediterranean, a region that is highly susceptible to variations in rainfall and other components of the water budget. The assessment is based on a comparison of responses obtained from five hydrologic models implemented for the Rio Mannu catchment in southern Sardinia (Italy). The examined models – CATchment HYdrology (CATHY), Soil and Water Assessment Tool (SWAT), TOPographic Kinematic APproximation and Integration (TOPKAPI), TIN-based Real time Integrated Basin Simulator (tRIBS), and WAter bala

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38

Harsoyo, Budi. "REVIEW MODELING HIDROLOGI DAS DI INDONESIA." Jurnal Sains & Teknologi Modifikasi Cuaca 11, no. 1 (2010): 41. http://dx.doi.org/10.29122/jstmc.v11i1.2179.

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Berbagai model simulasi hidrologi telah dikembangkan untuk menjelaskan prosesmengubah input (dalam bentuk hujan) menjadi output (dalam bentuk aliran sungai) dengan mempertimbangkan karakteristik fisik DAS. Model simulasi hidrologi pada dasarnya dirancang untuk menyederhanakan sistem hidrologi, sehingga perilaku dari beberapa komponen dalam sistem dapat diketahui. Makalah ini membahas pemodelan hidrologi banyak diterapkan di Indonesia, dimulai dengan peninjauan definisi dan klasifikasi model hidrologi, dan lanjutkan dengan ulasan beberapa model hidrologi DAS untuk skala bersama dengan beberapa

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Haberlandt, U. "From hydrological modelling to decision support." Advances in Geosciences 27 (August 23, 2010): 11–19. http://dx.doi.org/10.5194/adgeo-27-11-2010.

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Abstract. Decision support for planning and management of water resources needs to consider many target criteria simultaneously like water availability, water quality, flood protection, agriculture, ecology, etc. Hydrologic models provide information about the water balance components and are fundamental for the simulation of ecological processes. Objective of this contribution is to discuss the suitability of classical hydrologic models on one hand and of complex eco-hydrologic models on the other hand to be used as part of decision support systems. The discussion is based on results from two

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Gao, Peng, Gregory J. Carbone, and Junyu Lu. "Flood Simulation in South Carolina Watersheds Using Different Precipitation Inputs." Advances in Meteorology 2018 (July 5, 2018): 1–10. http://dx.doi.org/10.1155/2018/4085463.

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Flooding induced by extreme rainfall events causes tremendous loss of life and property and infrastructure failure. Accurate representation of precipitation, which has high variation in space and time, is critical to hydrologic model simulations and flood analyses. In this study, we examined responses of differently sized United States Geological Survey (USGS) hydrologic units to heavy precipitation using three different data sets. The first consists of rainfall observed at individual meteorological gauges. The second uses the National Centers for Environmental Prediction (NCEP) Environmental

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Kim, JungJin, and Jae Ryu. "Quantifying the Performances of the Semi-Distributed Hydrologic Model in Parallel Computing—A Case Study." Water 11, no. 4 (2019): 823. http://dx.doi.org/10.3390/w11040823.

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The research features how parallel computing can advance hydrological performances associated with different calibration schemes (SCOs). The result shows that parallel computing can save up to 90% execution time, while achieving 81% simulation improvement. Basic statistics, including (1) index of agreement (D), (2) coefficient of determination (R2), (3) root mean square error (RMSE), and (4) percentage of bias (PBIAS) are used to evaluate simulation performances after model calibration in computer parallelism. Once the best calibration scheme is selected, additional efforts are made to improve

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Cho, Younghyun. "Application of NEXRAD Radar-Based Quantitative Precipitation Estimations for Hydrologic Simulation Using ArcPy and HEC Software." Water 12, no. 1 (2020): 273. http://dx.doi.org/10.3390/w12010273.

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Recent availability of various spatial data, especially for gridded rainfall amounts, provide a great opportunity in hydrological modeling of spatially distributed rainfall–runoff analysis. In order to support this advantage using gridded precipitation in hydrological application, (1) two main Python script programs for the following three steps of radar-based rainfall data processing were developed for Next Generation Weather Radar (NEXRAD) Stage III products: conversion of the XMRG format (binary to ASCII) files, geo-referencing (re-projection) with ASCII file in ArcGIS, and DSS file generat

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Jain, Manoj K., Dilip G. Durbude, and Surendra K. Mishra. "Improved CN-Based Long-Term Hydrologic Simulation Model." Journal of Hydrologic Engineering 17, no. 11 (2012): 1204–20. http://dx.doi.org/10.1061/(asce)he.1943-5584.0000592.

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Maskey, Mahesh L., Carlos E. Puente, and Bellie Sivakumar. "Deterministic simulation of highly intermittent hydrologic time series." Stochastic Environmental Research and Risk Assessment 31, no. 10 (2016): 2719–32. http://dx.doi.org/10.1007/s00477-016-1343-2.

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Sumner, David M. "ADEQUACY OF SELECTED EVAPOTRANSPIRATION APPROXIMATIONS FOR HYDROLOGIC SIMULATION." Journal of the American Water Resources Association 42, no. 3 (2006): 699–711. http://dx.doi.org/10.1111/j.1752-1688.2006.tb04486.x.

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Tegelhoffová, M. "Analysis of the development of a hydrological balance for future decades in the Senianska depression in the Eastern Slovak lowland." Slovak Journal of Civil Engineering 18, no. 4 (2010): 30–40. http://dx.doi.org/10.2478/v10189-010-0020-6.

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Analysis of the development of a hydrological balance for future decades in the Senianska depression in the Eastern Slovak lowlandThe goal of the article was to analyze the hydrological balance for future decades in a pilot area in the Eastern Slovak lowland. The aim was to set up the physically-based Mike SHE hydrological model for the modeling hydrological balance in the selected wetland ecosystem in the Eastern Slovak Lowland. The pilot area - the Senianska depression is located near the village of Senne, between the Laborec and Uh Rivers. Specifically, it is a traditional landscape of mead

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Her, Younggu. "Evaluating Hydrologic Behavior of Hydrology Simulation using Time Area (HYSTAR) Model through Sensitivity Analysis." Journal of The Korean Society of Agricultural Engineers 57, no. 3 (2015): 41–54. http://dx.doi.org/10.5389/ksae.2015.57.3.041.

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Durães, Matheus Fonseca, Carlos Rogério de Mello, and Mauro Naghettini. "Applicability of the swat model for hydrologic simulation in Paraopeba River basin, MG." CERNE 17, no. 4 (2011): 481–88. http://dx.doi.org/10.1590/s0104-77602011000400006.

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The SWAT model (Soil and Water Assessment Tool) was applied for simulating the hydrologic pattern of Paraopeba river basin, in Minas Gerais state, under different land use and occupation scenarios, looking to support basin management actions. The model parameters were calibrated and validated, with respect to the data observed from 1983 to 2005. The basin was assessed at the 'Porto do Mesquita' gauging station and change in land use and occupation was based on the annual growth scenarios proposed in the partial report of Paraopeba basin's master plan. The model was found to be highly sensitive

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Sun, Qingyan, Chuiyu Lu, Hui Guo, et al. "Study on Hydrologic Effects of Land Use Change Using a Distributed Hydrologic Model in the Dynamic Land Use Mode." Water 13, no. 4 (2021): 447. http://dx.doi.org/10.3390/w13040447.

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It is reasonable to simulate the hydrologic cycle in regions with drastic land use change using a distributed hydrologic model in the dynamic land use mode (dynamic mode). A new dynamic mode is introduced into an object-oriented modularized model for basin-scale water cycle simulation (MODCYCLE), a distributed hydrologic model based on sub-watersheds, and the hydrological response unit (HRU). The new mode can linearly interpolate data for the years without land use data and consistently transfer HRU water storage between two adjacent years after a land use data update. The hydrologic cycle sim

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Trinh, D. H., and T. F. M. Chui. "Assessing the hydrologic restoration of an urbanized area via integrated distributed hydrological model." Hydrology and Earth System Sciences Discussions 10, no. 4 (2013): 4099–132. http://dx.doi.org/10.5194/hessd-10-4099-2013.

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Abstract. Green structures (e.g. green roof and bio-retention systems) are adopted to mitigate the hydrological impacts of urbanization. However, our current understanding of the urbanization impacts are often process-specific (e.g. peak flow or storm recession), and our characterizations of green structures are often on a local scale. This study uses an integrated distributed hydrological model, Mike SHE, to evaluate the urbanization impacts on both overall water balance and water regime, and also the effectiveness of green structures at a catchment level. Three simulations are carried out fo

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