Academic literature on the topic 'Hydrological simulation model'
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Journal articles on the topic "Hydrological simulation model"
Xin, Zhuohang, Ke Shi, Chenchen Wu, Lu Wang, and Lei Ye. "Applicability of Hydrological Models for Flash Flood Simulation in Small Catchments of Hilly Area in China." Open Geosciences 11, no. 1 (December 31, 2019): 1168–81. http://dx.doi.org/10.1515/geo-2019-0089.
Full textLi, Zhanjie, Jingshan Yu, Xinyi Xu, Wenchao Sun, Bo Pang, and Jiajia Yue. "Multi-model ensemble hydrological simulation using a BP Neural Network for the upper Yalongjiang River Basin, China." Proceedings of the International Association of Hydrological Sciences 379 (June 5, 2018): 335–41. http://dx.doi.org/10.5194/piahs-379-335-2018.
Full textĐukić, Vesna, and Ranka Erić. "SHETRAN and HEC HMS Model Evaluation for Runoff and Soil Moisture Simulation in the Jičinka River Catchment (Czech Republic)." Water 13, no. 6 (March 23, 2021): 872. http://dx.doi.org/10.3390/w13060872.
Full textvan Kempen, Gijs, Karin van der Wiel, and Lieke Anna Melsen. "The impact of hydrological model structure on the simulation of extreme runoff events." Natural Hazards and Earth System Sciences 21, no. 3 (March 12, 2021): 961–76. http://dx.doi.org/10.5194/nhess-21-961-2021.
Full textGalleguillos, G., G. Méndez, and A. Lucchini. "MOSAH, An Agro-hydrological Simulation Model." IFAC Proceedings Volumes 18, no. 14 (October 1985): 21–26. http://dx.doi.org/10.1016/s1474-6670(17)60028-4.
Full textXiao, Qintai, Li Zhou, Xin Xiang, Lingxue Liu, Xing Liu, Xiaodong Li, and Tianqi Ao. "Integration of Hydrological Model and Time Series Model for Improving the Runoff Simulation: A Case Study on BTOP Model in Zhou River Basin, China." Applied Sciences 12, no. 14 (July 7, 2022): 6883. http://dx.doi.org/10.3390/app12146883.
Full textJiang, Lulu, Huan Wu, Jing Tao, John S. Kimball, Lorenzo Alfieri, and Xiuwan Chen. "Satellite-Based Evapotranspiration in Hydrological Model Calibration." Remote Sensing 12, no. 3 (January 29, 2020): 428. http://dx.doi.org/10.3390/rs12030428.
Full textMaheu, Audrey, Islem Hajji, François Anctil, Daniel F. Nadeau, and René Therrien. "Using the maximum entropy production approach to integrate energy budget modelling in a hydrological model." Hydrology and Earth System Sciences 23, no. 9 (September 20, 2019): 3843–63. http://dx.doi.org/10.5194/hess-23-3843-2019.
Full textTegelhoffová, 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 (December 1, 2010): 30–40. http://dx.doi.org/10.2478/v10189-010-0020-6.
Full textArnold, S., S. Attinger, K. Frank, and A. Hildebrandt. "Uncertainty in parameterisation and model structure affect simulation results in coupled ecohydrological models." Hydrology and Earth System Sciences 13, no. 10 (October 6, 2009): 1789–807. http://dx.doi.org/10.5194/hess-13-1789-2009.
Full textDissertations / Theses on the topic "Hydrological simulation model"
Ishak, Asnor Muizan. "Hydrological simulation aided by numerical weather prediction model." Thesis, University of Bristol, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559471.
Full textZhang, Hongbin. "Urban flood simulation by coupling a hydrodynamic model with a hydrological model." Thesis, University of Newcastle upon Tyne, 2015. http://hdl.handle.net/10443/2797.
Full textVilariño, Daniel R. "Hydrologic calibration of the Cub Run Watershed using the PC version of the Hydrological Simulation Program - FORTRAN (HSPF)." Thesis, Virginia Tech, 1996. http://hdl.handle.net/10919/44438.
Full textThe Hydrological Simulation Program - FORTRAN (HSPF) in its personal computer version, release 10.10, was used to perform the hydrological simulation of a sub-watershed of the Occoquan River drainage basin. The sub-watershed selected was the Cub Run Watershed located in the northern area of the Occoquan River catchment. A model in the form of a User Control Input (UCI) file was prepared. The Cub Run Watershed was analyzed considering its geological, edaphic and weather characteristics, and segmented accordingly. The model was calibrated to adjust simulated results to observed data. Several calibration runs were executed and a final run was done considering a further segmented watershed. The simulation results were good even when not all the desired data could be found. The annual percent difference between the best calibration run and the observed results was 21.28%. The ten-month percent difference, excluding June and July, was 5.82 %. The first value is a fair result for hydrologic calibration, the second value is an excellent result for the same type of calibration. Additional segmentation did not further improve the results obtained during the best calibration run. Differences in the calibration when considering just a pervious segment or two segments (one pervious and one impervious) could be noted, indicating the importance of considering impervious surfaces for the simulation. HSPF reacted quite logically to variations in the calibration parameters and the results from those variations could be predicted beforehand. In summary, the PC version of HSPF was demonstrated to be a good management tool for the hydrological simulation of this watershed.
Master of Science
Parsons, J. S. "A simulation model for subsurface and overland flow down a hillside in the Crimple Beck, N. Yorkshire." Thesis, University of Leeds, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.376984.
Full textZhang, Fangli. "A particle-set distributed hydrological model for the dynamic simulation of surface runoff." HKBU Institutional Repository, 2017. https://repository.hkbu.edu.hk/etd_oa/472.
Full textTondu, Yohann. "Simulation of the Paris 1910 flood with a lumped hydrological model: the influence of frozen soil." Thesis, KTH, Vattendragsteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-96310.
Full textWang, Chen. "Simulation and Evaluation of Stream flow and Pesticide Prediction in Orestimba Creek Watershed using AnnAGNPS Model." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/theses/1564.
Full textGarcia, Luis Jimenez, Guzman Osnar Iruri, and Sissi Santos Hurtado. "Hazard map based on the simulation of sludge flow in a two-dimensional model, Case Quebrada Malanche-Punta Hermosa -Lima-Perú." Institute of Electrical and Electronics Engineers Inc, 2020. http://hdl.handle.net/10757/656417.
Full textThis research presents the numerical simulation to reproduce the transport and deposition processes of the sludge flow on March 15, 2017, strongly impacting the town of Pampapacta in Punta Hermosa-Peru.The debris flow initiation process in the basin was represented by hydrographs obtained from the estimated volumes of stormwater runoff and solid materials. The sludge flow was modeled in Flo2D to calculate hazard maps with the discharge event and others with different return periods.The numerical simulation results show acceptable results in relation to what happened. The model used to assess the hazard due to debris flow can predict and delineate, with acceptable precision, potentially hazardous areas for a landslide. The application of the proposed methodology to assess the hazard of disasters due to debris flows in basins and streams is useful to understand the extent of the impact of the mud flow during extreme weather events, as well as to develop emergency plans and formulate disaster policies.
Abdelnour, Alex Gabriel. "Assessing ecosystem response to natural and anthropogenic disturbances using an eco-hydrological model." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42899.
Full textKruk, N. S., Peter Hoffmann, and Armin Raabe. "Modeling of orographic precipitation events in South America to couple hydrological and atmospheric models; part 1: The simulation of rain with the Mesoscale Model GESIMA." Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-222251.
Full textGlobal models are insufficient to solve small scale atmospheric processes (e.g. orographic precipitation) due to their gross resolution (60 x 60 km). With mesoscale models e.g. the GESIMA (5 x 5 km), the physical fundamentals of the atmosphere (formation of precipitation and clouds) can better be studied and a coupling with hydrological models be tested through. This project plans exactly, as a first step, the work with the cited meteorological model. Heavy rainfall events are connected with characteristic weather conditions in many places in the world which produce invariably rain quasi over days. Initialized with the local vertical profiles from radiosonde data, the prediction model GESIMA and the diagnostic model MAXRR produced rain quantities of comparable order of magnitude
Books on the topic "Hydrological simulation model"
A, Matthews David. Nested model simulations of regional orographic precipition. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Technical Service Center, 1997.
Find full textA, Matthews David. Nested model simulations of regional orographic precipitation. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Technical Service Center, 1997.
Find full textHoekstra, Arjen Y. Perspectives on water: An integrated model-based exploration of the future. Utrecht, Netherlands: International Books, 1998.
Find full textCarver, Martin. Development and application of a peak-flow hazard model for the Fraser Basin (British Columbia). Victoria, B.C: Pacific Forestry Centre, 2009.
Find full textSchuurmans, J. M. Hydrological now- and forecasting: Integration of operationally available remotely sensed and forecasted hydrometeorological variables into distributed hydrological models. Utrecht: Royal Dutch Geographical Society, 2008.
Find full textHydrological now- and forecasting: Integration of operationally available remotely sensed and forecasted hydrometeorological variables into distributed hydrological models. Utrecht: Royal Dutch Geographical Society, 2008.
Find full textWilson, Mary. Remote sensing data applications to hydrological models. [Lindsay, Ont.?: Sir Sandford Fleming College], 1998.
Find full textJia, Yanbing. Hydrologic and water quality modeling of the Lake Jesup watershed using hydrological simulation program--Fortran (HSPF). Palatka, Fla: St. Johns River Water Management District, Dept. of Water Resources, Division of Engineering, 2007.
Find full textJia, Yanbing. Hydrologic and water quality modeling of the Lake Jesup watershed using hydrological simulation program--Fortran (HSPF). Palatka, Fla: St. Johns River Water Management District, Dept. of Water Resources, Division of Engineering, 2007.
Find full textJia, Yanbing. Hydrologic and water quality modeling of the Lake Jesup watershed using hydrological simulation program--Fortran (HSPF). Palatka, Fla: St. Johns River Water Management District, Dept. of Water Resources, Division of Engineering, 2007.
Find full textBook chapters on the topic "Hydrological simulation model"
Verma, S., Sachin, and K. C. Patra. "Dam Break Flow Simulation Model for Preparing Emergency Action Plans for Bargi Dam Failure." In Hydrological Modeling, 271–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81358-1_21.
Full textAbdelmoneim, Hadir, Mohamed R. Soliman, and Hossam M. Moghazy. "Hydrologic Assessment of the Uncertainty of Six Remote Sensing Precipitation Estimates Driven by a Distributed Hydrologic Model in the Blue Nile Basin." In Natural Disaster Science and Mitigation Engineering: DPRI reports, 225–49. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2904-4_8.
Full textFang, Yujie, Wenbin Zhou, and Dinggui Luo. "Study on Hydrological Simulation of Gan River Based on SWAT-X Model." In Lecture Notes in Electrical Engineering, 1367–74. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2169-2_162.
Full textNarendra, Hengade, T. I. Eldho, and Ghosh Subimal. "Hydrological Simulation of a Large Catchment Using the Variable Infiltration Capacity Model." In Water Science and Technology Library, 19–30. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55125-8_2.
Full textJia, Yangwen, Guangheng Ni, Yoshihisa Kawahara, and Tadashi Suetsugi. "Numerical Simulation of Groundwater Flow in Multi-layered Aquifers with a Distributed Hydrological Model." In Groundwater Updates, 259–64. Tokyo: Springer Japan, 2000. http://dx.doi.org/10.1007/978-4-431-68442-8_43.
Full textMa, Qiang, Elodie Zavattero, Mingxuan Du, and Philippe Gourbesville. "Assessment of Deterministic Model over Long Time Period Hydrological Simulation at Ungauged Mediterranean Catchment." In Advances in Hydroinformatics, 393–400. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7218-5_27.
Full textPatel, Anant. "Rainfall-Runoff Modelling and Simulation Using Remote Sensing and Hydrological Model for Banas River, Gujarat, India." In Lecture Notes in Civil Engineering, 153–62. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8181-2_12.
Full textTran, Thanh-Nhan-Duc, Quang Binh Nguyen, Ngoc Duong Vo, Rushawn Marshall, and Philippe Gourbesville. "Assessment of Terrain Scenario Impacts on Hydrological Simulation with SWAT Model. Application to Lai Giang Catchment, Vietnam." In Advances in Hydroinformatics, 1205–22. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1600-7_77.
Full textBelarbi, Halima, Bénina Touaibia, Nadir Boumechra, Chérifa Abdelbaki, and Sakina Amiar. "Analysis of the Hydrological Behavior of Watersheds in the Context of Climate Change (Northwestern Algeria)." In Natural Disaster Science and Mitigation Engineering: DPRI reports, 143–79. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2904-4_5.
Full textWang, Huaxiao, G. Edward Birchfield, and Jonathan J. Rich. "Hydrological Cycle Scenarios, Deep Ocean Circulation, and Century/Millennium Climate Change: A Simulation Study Using an Ocean-Atmosphere-Ice Sheet Model." In Ice in the Climate System, 237–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-85016-5_15.
Full textConference papers on the topic "Hydrological simulation model"
"Exposing a Hydrological Simulation Model on the web." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.c4.leighton.
Full textHeydari, Salimeh Malekpour, Teh Noranis Mohd Aris, Razali Yaakob, and Hazlina Hamdan. "Hydrological Modeling of Murray River Basin Using The Hydrological Simulation Program-FORTRAN Model." In 2019 IEEE 7th Conference on Systems, Process and Control (ICSPC). IEEE, 2019. http://dx.doi.org/10.1109/icspc47137.2019.9068009.
Full text"Scott River Hydrological and Nutrient Model construction and calibration." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.i13.hall.
Full text"Towards reliable hydrological model calibrations with river level measurements." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.l11.jian.
Full textGil, Monica, Mario Beron, German Montejano, Daniel Riesco, Haesun Lee, and Narayan Debnath. "An ontology for the interoperability of hydrological simulation model." In 2016 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2016. http://dx.doi.org/10.1109/icit.2016.7475020.
Full text"Model-data fusion: using observations to understand and reduce uncertainty in hydrological models." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.keynote.vandijk.
Full textWang, Yajie, Yonghong Hao, and Xuemeng Wang. "Simulation of karst hydrological processes using GM(1,1) metabolic model." In 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/gsis.2009.5408244.
Full textXianghu Li, Qi Zhang, and Yunliang Li. "Comparison of two distributed hydrological model for soil moisture simulation." In 2011 International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). IEEE, 2011. http://dx.doi.org/10.1109/rsete.2011.5964950.
Full text"Towards operational hydrological model calibration using streamflow and soil moisture measurements." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.l3.zhang.
Full text"Development of a parallel computing enabled optimisation tool for hydrological model calibration." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.l2.yang.
Full textReports on the topic "Hydrological simulation model"
Skahill, Brian E. Use of the Hydrological Simulation Program - FORTRAN (HSPF) Model for Watershed Studies. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada434883.
Full textde Vries, Sander C. WFLOW_LINTUL: raster-based simulation of rice growth in the WFLOW/OpenStreams hydrological modelling platform : user manual and description of core model code. Wageningen: Wageningen Research (WR) business unit Agrosystems Research, 2018. http://dx.doi.org/10.18174/461276.
Full textHamill, Daniel D., Jeremy J. Giovando, Chandler S. Engel, Travis A. Dahl, and Michael D. Bartles. Application of a Radiation-Derived Temperature Index Model to the Willow Creek Watershed in Idaho, USA. U.S. Army Engineer Research and Development Center, August 2021. http://dx.doi.org/10.21079/11681/41360.
Full textAlt, Jonathan, Willie Brown, George Gallarno, John Richards, Jennifer Olszewski, and Titus Rice. Risk-based prioritization of operational condition assessments : methodology and case study results. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/46123.
Full textAlt, Jonathan, Willie Brown, George Gallarno, John Richards, and Titus Rice. Risk-based prioritization of operational condition assessments : Jennings Randolph case study. Engineer Research and Development Center (U.S.), April 2022. http://dx.doi.org/10.21079/11681/43862.
Full textMatus, Sean, and Daniel Gambill. Automation of gridded HEC-HMS model development using Python : initial condition testing and calibration applications. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/46126.
Full textBerger, Rutherford C. Foundational Principles in the Development of AdH-SW3, the Three-Dimensional Shallow Water Hydrodynamics and Transport Module within the Adaptive Hydraulics/Hydrology Model. U.S. Army Engineer Research and Development Center, June 2022. http://dx.doi.org/10.21079/11681/44560.
Full textZhang, Zhonglong, and Billy E. Johnson. Aquatic Contaminant and Mercury Simulation Modules Developed for Hydrologic and Hydraulic Models. Fort Belvoir, VA: Defense Technical Information Center, July 2016. http://dx.doi.org/10.21236/ad1013220.
Full textDowner, Charles W., William F. James, Aaron Byrd, and Gregory W. Eggers. Gridded Surface Subsurface Hydrologic Analysis (GSSHA) Model Simulation of Hydrologic Conditions and Restoration Scenarios for the Judicial Ditch 31 Watershed, Minnesota. Fort Belvoir, VA: Defense Technical Information Center, June 2002. http://dx.doi.org/10.21236/ada403459.
Full textde Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.
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