scholarly journals Continuous Hydrological Modeling using Soil Moisture Accounting Algorithm in Vamsadhara River Basin, India

2015 ◽  
Vol 4 (4) ◽  
pp. 398-408 ◽  
Author(s):  
Waikhom Rahul Singh ◽  
Manoj K Jain
2016 ◽  
Vol 43 (4) ◽  
pp. 699-710 ◽  
Author(s):  
Homa Razmkhah ◽  
Bahram Saghafian ◽  
Ali-Mohammad Akhound Ali ◽  
Fereydoun Radmanesh

Irriga ◽  
2020 ◽  
Vol 25 (2) ◽  
pp. 202-222
Author(s):  
Eduardo Morgan Uliana ◽  
Demetrius David da Silva ◽  
Michel Castro Moreira ◽  
Silvio Bueno Pereira ◽  
Donizete Dos Reis Pereira

MODELOS HIDROLÓGICOS SAC-SMA E IPH II: CALIBRAÇÃO E AVALIAÇÃO DO DESEMPENHO NA ESTIMATIVA DE VAZÕES NA BACIA DO RIO PIRACICABA (MG)4     EDUARDO MORGAN ULIANA1; DEMETRIUS DAVID DA SILVA2; MICHEL CASTRO MOREIRA2; SILVIO BUENO PEREIRA2 E DONIZETE DOS REIS PEREIRA3   1Instituto de Ciências Agrárias e Ambientais, Universidade Federal de Mato Grosso, Avenida Alexandre Ferronato, 1200, Setor Industrial, CEP. 78557-267, Sinop, Mato Grosso, Brasil, [email protected]   2Departamento de Engenharia Agrícola, Universidade Federal de Viçosa, Campus Universitário, CEP. 36570-900, Viçosa, Minas Gerais, Brasil, [email protected], [email protected] 3Instituto de Ciências Agrárias, Universidade Federal de Viçosa, Rodovia LMG 818, km 06, CEP. 35690-000, Florestal, Minas Gerais, Brasil, [email protected] 4 O artigo é referente ao capítulo 1 da tese de doutorado do primeiro autor.     1 RESUMO   O objetivo do trabalho foi avaliar o desempenho dos modelos conceituais chuva-vazão Soil Moisture Accounting (SAC-SMA) e IPH II para a estimativa das vazões diárias na bacia hidrográfica do rio Piracicaba (MG), de modo que os mesmos possam ser utilizados para subsidiar o planejamento e a gestão de recursos hídricos na bacia. O estudo foi realizado em três seções de monitoramento de vazão da bacia do rio Piracicaba, localizada no estado de Minas Gerais - Brasil. A calibração dos modelos foi realizada com o algoritmo SCE-UA, utilizando como função objetivo o índice de Nash-Sutcliffe. Os valores do índice de eficiência de Nash-Sutcliffe obtidos nas três seções de monitoramento foram de 0,87, 0,78 e 0,71 para o modelo SAC-SMA e de 0,88, 0,80, e 0,73 para o modelo IPH II, confirmando que os modelos são “adequados e bons” para a estimativa das vazões diárias. Concluiu-se, portanto, que os modelos SAC-SMA e IPH II são adequados para a estimativa das vazões diárias de cursos de água da bacia do rio Piracicaba (MG), demonstrando potencial para serem utilizados em estudos relacionados com simulação hidrológica e gestão de recursos hídricos em bacias hidrográficas de regiões tropicais.   Palavras-chave: modelo concentrado, chuva-vazão, planejamento de recursos hídricos, previsão.     ULIANA, E. M.; SILVA, D. D.; MOREIRA, M. C.; PEREIRA, S. B.; PEREIRA, D. R. SAC-SMA AND IPH II HYDROLOGICAL MODELS: CALIBRATION AND PERFORMANCE ASSESSMENT FOR WATER FLOW ESTIMATE IN PIRACICABA RIVER BASIN (MG)     2 ABSTRACT   The aim of this study was to evaluate the performance of conceptual models Sacramento - Soil Moisture Accounting (SAC-SMA) and IPH II for daily flow estimation in Piracicaba river basin, Minas Gerais, so that they may be used in the planning and management of water resources in the river basin. The study was carried out in three runoff-monitoring sections on Piracicaba river basin, located in the State of Minas Gerais - Brazil. Model calibration was performed through the Shuffled Complex Evolution (SCE-UA) algorithm, whose objective function was the Nash-Sutcliffe efficiency index. The Nash-Sutcliffe efficiency index values obtained in the three monitoring-sections were 0.87, 0.78, and 0.71 for the SAC-SMA model, and 0.88, 0.80, and 0.73 for the IPH II one. These values confirm that the models are “appropriate and good” for daily flow estimations. Overall, both models can be further used for hydrologic simulations and water resources management in tropical river basins.   Keywords: concentrated models, rainfall-runoff, planning of water resources, forecast.


2020 ◽  
Vol 20 (01) ◽  
pp. 11-18
Author(s):  
Gopal Adya Ariska ◽  
Yohanna Lilis Handayani ◽  
Bambang Sujatmoko

(ID) Hidrologi suatu Daerah Aliran Sungai (DAS) rumit untuk diprediksi karena kekurangan data dan membutuhkan biaya yang mahal. Pada penelitian ini mengambil lokasi di sub DAS Rokan Hulu stasiun Pasir Pengaraian yang hampir setiap tahun terjadi banjir. Perencanaan dan pengolahan sumber daya air di suatu wilayah daerah aliran sungai sangat penting, maka dari itu perlunya mengetahui karakteristik suatu DAS. Perencanaan dan pengolaan sumber daya air memerlukan data debit aliran yang lengkap. Pada sub DAS ini data hujan, data debit dan data klimatologi menggunakan periode data sepuluh tahun yaitu dari tahun 2008-2017. Pemodelan hidrologi dilakukan pendekatan dengan beberapa metode, salah satunya metode soil moisture accounting di program HEC-HMS yang mana metode tersebut mensimulasikan suatu pergerakan air pada vegetasi, permukaan tanah dan di bawah permukaan tanah. Penyusunan periode kalibrasi dan verifikasi disusun dalam sembilan skema yang diharapkan mampu menghasilkan hasil yang paling optimal. Sembilan skema untuk Kalibrasi dan Verifikasi ini menggunakan metode objective function yaitu percent error in discharge volume. Skema yang paling optimal adalah skema VII (7 tahun kalibrasi 3 tahun Verifikasi), dengan nilai verifikasi 10,1%”Baik” dan Kalibrasi 0,0% “Sangat Baik”. (EN) The hydrology of a watershed is difficult to predict because of the lack of data and requires high costs. In this study taking location in the Rokan Hulu sub-watershed, Pasir Pengaraian station Almost every year flooding occurs. Planning and management of water resources in a watershed is very important and therefore it is necessary to know the characteristics of the watershed. Planning and management of water resources require complete data. in this sub-watershed rainfall data, discharge data and climatology data use a ten-year data period from 2008-2017. Hydrological modeling is approached with several methods, one of them is soil moisture accounting method in the HEC-HMS program where the method simulates a movement of water on vegetation, soil surface and below ground level. The preparation of the calibration and verification periods arranged in nine schemes is expected to produce the most optimal results. The nine schemes for Calibration and Verification use the objective function method, which is the percentage error in discharge volume. The most optimal scheme is the scheme VII (7 years calibration 3 years Verification), with a verification value of 10.1% "Good" and Calibration 0.0% "Very Good".  


Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1053
Author(s):  
Yuan Yao ◽  
Wei Qu ◽  
Jingxuan Lu ◽  
Hui Cheng ◽  
Zhiguo Pang ◽  
...  

The Coupled Model Intercomparison Project Phase 6 (CMIP6) provides more scenarios and reliable climate change results for improving the accuracy of future hydrological parameter change analysis. This study uses five CMIP6 global climate models (GCMs) to drive the variable infiltration capacity (VIC) model, and then simulates the hydrological response of the upper and middle Huaihe River Basin (UMHRB) under future shared socioeconomic pathway scenarios (SSPs). The results show that the five-GCM ensemble improves the simulation accuracy compared to a single model. The climate over the UMHRB likely becomes warmer. The general trend of future precipitation is projected to increase, and the increased rates are higher in spring and winter than in summer and autumn. Changes in annual evapotranspiration are basically consistent with precipitation, but seasonal evapotranspiration shows different changes (0–18%). The average annual runoff will increase in a wavelike manner, and the change patterns of runoff follow that of seasonal precipitation. Changes in soil moisture are not obvious, and the annual soil moisture increases slightly. In the intrayear process, soil moisture decreases slightly in autumn. The research results will enhance a more realistic understanding of the future hydrological response of the UMHRB and assist decision-makers in developing watershed flood risk-management measures and water and soil conservation plans.


2021 ◽  
Vol 13 (9) ◽  
pp. 4926
Author(s):  
Nguyen Duc Luong ◽  
Nguyen Hoang Hiep ◽  
Thi Hieu Bui

The increasing serious droughts recently might have significant impacts on socioeconomic development in the Red River basin (RRB). This study applied the variable infiltration capacity (VIC) model to investigate spatio-temporal dynamics of soil moisture in the northeast, northwest, and Red River Delta (RRD) regions of the RRB part belongs to territory of Vietnam. The soil moisture dataset simulated for 10 years (2005–2014) was utilized to establish the soil moisture anomaly percentage index (SMAPI) for assessing intensity of agricultural drought. Soil moisture appeared to co-vary with precipitation, air temperature, evapotranspiration, and various features of land cover, topography, and soil type in three regions of the RRB. SMAPI analysis revealed that more areas in the northeast experienced severe droughts compared to those in other regions, especially in the dry season and transitional months. Meanwhile, the northwest mainly suffered from mild drought and a slightly wet condition during the dry season. Different from that, the RRD mainly had moderately to very wet conditions throughout the year. The areas of both agricultural and forested lands associated with severe drought in the dry season were larger than those in the wet season. Generally, VIC-based soil moisture approach offered a feasible solution for improving soil moisture and agricultural drought monitoring capabilities at the regional scale.


2018 ◽  
Author(s):  
Youssef Wehbe ◽  
Marouane Temimi ◽  
Michael Weston ◽  
Naira Chaouch ◽  
Oliver Branch ◽  
...  

Abstract. This study investigates an extreme weather event that impacted the United Arab Emirates (UAE) in March 2016 using the Weather Research and Forecasting (WRF) model version 3.7.1 coupled with its hydrological modeling extension package (Hydro). Six-hourly forecasted forcing records at 0.5o spatial resolution, obtained from the NCEP Global Forecast System (GFS), are used to drive the three nested downscaling domains of both standalone WRF and coupled WRF/WRF-Hydro configurations for the recent flood-triggering storm. Ground and satellite observations over the UAE are employed to validate the model results. Precipitation, soil moisture, and cloud fraction retrievals from GPM (30-minute, 0.1o product), AMSR2 (daily, 0.1o product), and MODIS (daily, 5 km product), respectively, are used to assess the model output. The Pearson correlation coefficient (PCC), relative bias (rBIAS) and root-mean-square error (RMSE) are used as performance measures. Results show reductions of 24 % and 13 % in RMSE and rBIAS measures, respectively, in precipitation forecasts from the coupled WRF/WRF-Hydro model configuration, when compared to standalone WRF. The coupled system also shows improvements in global radiation forecasts, with reductions of 45 % and 12 % for RMSE and rBIAS, respectively. Moreover, WRF-Hydro was able to simulate the spatial distribution of soil moisture reasonably well across the study domain when compared to AMSR2 satellite soil moisture estimates, despite a noticeable dry/wet bias in areas where soil moisture is high/low. The demonstrated improvement, at the local scale, implies that WRF-Hydro coupling may enhance hydrologic forecasts and flash flood guidance systems in the region.


2015 ◽  
Vol 51 (1) ◽  
pp. 506-523 ◽  
Author(s):  
Simon A. Mathias ◽  
Todd H. Skaggs ◽  
Simon A. Quinn ◽  
Sorcha N. C. Egan ◽  
Lucy E. Finch ◽  
...  

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