scholarly journals Use of the SWAT model for estimating reservoir volume in the Upper Navet watershed in Trinidad

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Sharlene L. Beharry ◽  
Donald Gabriels ◽  
Deyanira Lobo ◽  
Deanesh Ramsewak ◽  
Ricardo M. Clarke
Keyword(s):  
Hydrological Model ◽  
Assessment Tool ◽  
Swat Model ◽  
Caribbean Island ◽  
Reservoir Volume ◽  
Sensitive Parameters ◽  
Soil Water Assessment Tool ◽  
Water Assessment ◽  
Statistical Metrics

AbstractIn tropical small islands the application of hydrological modelling is challenged by the scarcity of input data. Using in-situ and statistically estimated data, a hydrological model was calibrated and validated for the Upper Navet watershed in Trinidad, a small Caribbean island. The model was built using the soil water assessment tool (SWAT). The sensitivity analysis, calibration and validation were performed in SWAT calibration and uncertainty program (SWAT-CUP) using sequential uncertainty fitting (SUFI-2). The results revealed that for the estimated volume of water flowing into the reservoir (Flow_In) there were six sensitive parameters. To estimate the reservoir volume (Res_Vol), a modification of only the effective hydraulic conductivity was required. The model’s performance for the Flow_In validation showed acceptable values (R2 = 0.91 and NSE = 0.81). The uncertainty analysis indicated lower than recommended values for both the R-factor (0.46) and P-factor (0.31). For Res_Vol, the model’s validation performance indicated acceptable values (R2 = 0.72 and NSE = 0.70) and the P- and R-factors were 0.80 and 0.64, respectively. Based on the statistical metrics, the uncertainty for the Res_Vol was regarded as reasonable. However, care must be taken with the model’s use in the dry season, as the simulated Flow_In was generally over-predicted. A second validation of the model was performed for the reservoir under different negative (removal) and positive (addition) water amounts which confirmed the model’s ability to estimate the Res_Vol. The hydrological model established can therefore serve as a useful tool for water managers for the estimation of the Res_Vol at the Navet reservoir.

scholarly journals SWAT Model Adaptability to a Small Mountainous Forested Watershed in Central Romania

Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 860
Author(s):  
Nicu Constantin Tudose ◽  
Mirabela Marin ◽  
Sorin Cheval ◽  
Cezar Ungurean ◽  
Serban Octavian Davidescu ◽  
...  
Keyword(s):  
Metropolitan Area ◽  
Hydrological Model ◽  
Assessment Tool ◽  
Swat Model ◽  
Decision Makers ◽  
Forested Watershed ◽  
Sensitive Parameters ◽  
Lower Uncertainty ◽  
Validation Stage ◽  
Water Assessment

This study aims to build and test the adaptability and reliability of the Soil and Water Assessment Tool hydrological model in a small mountain forested watershed. This ungauged watershed covers 184 km2 and supplies 90% of blue water for the Brașov metropolitan area, the second largest metropolitan area of Romania. After building a custom database at the forest management compartment level, the SWAT model was run. Further, using the SWAT-CUP software under the SUFI2 algorithm, we identified the most sensitive parameters required in the calibration and validation stage. Moreover, the sensitivity analysis revealed that the surface runoff is mainly influenced by soil, groundwater and vegetation condition parameters. The calibration was carried out for 2001‒2010, while the 1996‒1999 period was used for model validation. Both procedures have indicated satisfactory performance and a lower uncertainty of model results in replicating river discharge compared with observed discharge. This research demonstrates that the SWAT model can be applied in small ungauged watersheds after an appropriate parameterisation of its databases. Furthermore, this tool is appropriate to support decision-makers in conceiving sustainable watershed management. It also guides prioritising the most suitable measures to increase the river basin resilience and ensure the water demand under climate change.

Study on Hydrological Simulation of Jin River Based on SWAT-X Model

2011 ◽  
Vol 84-85 ◽  
pp. 238-243
Author(s):  
Yu Jie Fang ◽  
Wen Bin Zhou ◽  
Ding Gui Luo
Keyword(s):  
River Basin ◽  
Assessment Tool ◽  
Swat Model ◽  
Model Parameters ◽  
Parameter Sensitivity Analysis ◽  
Hydrological Simulation ◽  
Resources Management ◽  
Using Data ◽  
Sensitive Parameters ◽  
Water Assessment

Hydrological simulation is the basis of water resources management and utilization. In this study, Soil and Water Assessment Tool (SWAT) model was applied to Jin River Basin for hydrological simulation on ArcView3.3 platform. The basic database of Jin river Basin was built using ArcGis9.2. Based on the LH-OAT parameter sensitivity analysis, the sensitive parameters of runoff were identified, including CN2, Gwqmn, rchrg_dp, ESCO, sol_z, SLOPE, SOL_AWC, sol_k, Gwrevap, and then model parameters related to runoff were calibrated and validated using data observed in weifang, yifeng, shanggao and gaoan hydrological stations during 2001-2008. The simulation showed that the simulated values were reasonably comparable to the observed data (Re<20%, R2 >0.7 and Nash-suttcliffe > 0.7), suggesting the validity of SWAT model in Jin River Basin.

scholarly journals Application of SWAT (Soil and Water Assessment Tool) to the Abay River Basin of Ethiopia: The Case of Didessa Sub Basin

2018 ◽  
Author(s):  
Timketa Adula Duguma
Keyword(s):  
River Basin ◽  
Time Scale ◽  
Assessment Tool ◽  
Peak Flow ◽  
Swat Model ◽  
Distributed Model ◽  
Statistical Measures ◽  
Sensitive Parameters ◽  
Water Assessment ◽  
Soil And Water

Abstract: In this study the semi-distributed model SWAT (Soil and Water Assessment Tool), were applied to evaluate stream flow of Didessa sub basin, which is one of the major sub basins in Abay river basin of Ethiopia. The study evaluated the quality of observed meteorological and hydrological data, established SWAT hydrological model, identified the most sensitive parameters, evaluated the best distribution for flow and developed peak flow for major tributary in the sub basin. The result indicated that the SWAT model developed for the sub basin evaluated at multi hydro-gauging stations and its performance certain with the statistical measures, coefficient about determination (R2) and also Nash coefficient (NS) with values ranging 0.62 to 0.8 and 0.6 to 0.8 respectively at daily time scale. The values of R2 and NS increases at monthly time scale and found ranging 0.75 to 0.92 and 0.71 to 0.91 respectively. Sensitivity analysis is performed to identify parameters those were most sensitive for the sub basin. CN2, GWQMN, CH_K, ALPHA_BNK and LAT_TIME are the most sensitive parameters in the sub basin. Finally, the peak flow for 2-10000 returns periods were determined after the best probability distribution is identified in EasyFit computer program.

STREAMFLOW SIMULATION: COMPARISON BETWEEN SOIL WATER ASSESSMENT TOOL AND ARTIFICIAL NEURAL NETWORK MODELS

2021 ◽  
Vol 5 (2) ◽  
pp. 173-182
Author(s):  
Shehu Usman Haruna ◽  
Aliyu Kasim Abba ◽  
Rabi'u Aminu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Soil Water ◽  
Assessment Tool ◽  
Swat Model ◽  
Coefficient Of Determination ◽  
Artificial Neural ◽  
Soil Water Assessment Tool ◽  
Water Assessment ◽  
Streamflow Simulation

The present study compared the performance of two different models for streamflow simulation namely: Soil Water Assessment Tool (SWAT) and the Artificial Neural Network (ANN). During the calibration periods, the Nash-Sutcliff (NS) and Coefficient of Determination (R2) for SWAT was 0.74 and 0.81 respectively, whereas for ANN, it was 0.99 and 0.85 respectively. The ANN performs better during the validation period as the result revealed with NS and R2 having 0.98 and 0.89 respectively, while for the SWAT model it was 0.71 and 0.74 respectively. Based on the recommended comparison of graphical and statistical evaluation performances of both models, the ANN model performed better in estimating peak flow events than the SWAT model in the Upper Betwa Basin. Furthermore, the rigorous time required and expertise for calibration of the SWAT is much less as compared with the ANN. Moreover, the results obtained from both models demonstrate the performances of the

scholarly journals Sub-Daily Simulation of Mountain Flood Processes Based on the Modified Soil Water Assessment Tool (SWAT) Model

2019 ◽  
Vol 16 (17) ◽  
pp. 3118 ◽  
Author(s):  
Yongchao Duan ◽  
Fanhao Meng ◽  
Tie Liu ◽  
Yue Huang ◽  
Min Luo ◽  
...  
Keyword(s):  
High Altitude ◽  
Soil Water ◽  
Assessment Tool ◽  
Swat Model ◽  
High Temporal Resolution ◽  
Distributed Hydrological Model ◽  
Mountainous Areas ◽  
Accumulated Temperature ◽  
Soil Water Assessment Tool ◽  
Water Assessment

Floods not only provide a large amount of water resources, but they also cause serious disasters. Although there have been numerous hydrological studies on flood processes, most of these investigations were based on rainfall-type floods in plain areas. Few studies have examined high temporal resolution snowmelt floods in high-altitude mountainous areas. The Soil Water Assessment Tool (SWAT) model is a typical semi-distributed, hydrological model widely used in runoff and water quality simulations. The degree-day factor method used in SWAT utilizes only the average daily temperature as the criterion of snow melting and ignores the influence of accumulated temperature. Therefore, the influence of accumulated temperature on snowmelt was added by increasing the discriminating conditions of rain and snow, making that more suitable for the simulation of snowmelt processes in high-altitude mountainous areas. On the basis of the daily scale, the simulation of the flood process was modeled on an hourly scale. This research compared the results before and after the modification and revealed that the peak error decreased by 77% and the time error was reduced from ±11 h to ±1 h. This study provides an important reference for flood simulation and forecasting in mountainous areas.

scholarly journals Simulasi Skenario Penutupan Lahan untuk Melihat Kondisi Hidrologi di Das Lisu, Kabupaten Barru

2019 ◽  
Vol 11 (1) ◽  
pp. 49
Author(s):  
Samsul Labaco ◽  
Usman Arsyad ◽  
Anwar Umar
Keyword(s):  
Land Cover ◽  
Soil Water ◽  
Experimental Research ◽  
Rainy Season ◽  
Assessment Tool ◽  
Hydrological Cycle ◽  
Swat Model ◽  
Overlay Method ◽  
Soil Water Assessment Tool ◽  
Water Assessment

The disruption of hydrological cycle will reduce watershed's ability to store water, so that discharge in dry season decreases and discharge in rainy season increases. These problems are caused by changes in land cover from forested land to non-forested. This study aims to develop a scenario for land cover planning that should be applied in the Lisu Watershed, Barru Regency. This study is mapping based on non-experimental research. The data obtained were analyzed spatially by overlay method. The Soil Water Assessment Tool (SWAT) model is used in preparation of land cover planning scenarios to predict hydrological conditions. The results showed that scenario 2, namely land cover planning based on the district space map pattern is the best scenario. Addition of forest area to 61.60% resulting in the lowest yield of 3461.54 mm/year and 1519.53 mm/year. While the infiltration value produced is the highest infiltration value, which is 2299.20 mm/year.

scholarly journals Application of Soil Water Assessment Tool (SWAT) Model in Analyzing Nitrogen Transport Inside the Narmada River Basin

2021 ◽  
Vol 3 ◽  
Author(s):  
Prakrut Kansara ◽  
Venkataraman Lakshmi
Keyword(s):  
Soil Water ◽  
Agricultural Land ◽  
Assessment Tool ◽  
Swat Model ◽  
High Rate ◽  
Western India ◽  
Discharge Data ◽  
Narmada River ◽  
Soil Water Assessment Tool ◽  
Water Assessment

The Narmada River is one of the largest rivers in Western India encompassing a watershed area of 92,672 km2. It is one of the most important rivers for water needs of the state of Gujarat, Maharashtra, and Madhya Pradesh. The climate of the basin is humid and tropical but region surrounding this river watershed is predominantly dry and resembles semi-arid conditions. The population inside the states covering this watershed increased by an average of 23% from 1991 to 2011 causing multitude of water scarcity and water quality deterioration issues. These problems were caused by increase in sewage waste and untreated industrial discharge dumped into the river stream along with chemical fertilizers washing off from the farmlands flowing into the river. While there are several studies that model the watershed hydrology and water balance components, there has been no study that analyses the transport of nutrients inside the watershed. This study aims at using a semi-distributed hydrological model—Soil Water Assessment Tool (SWAT) to model the nitrogen (NO2 + NO3) transport and distribution inside the basin for 2001–2019. Nutrients and discharge data from Central Water Commission (CWC) of India were used to build this model along with other required input forcing obtained through remotely sensed datasets. We found that the subbasins near boundary of the Narmada watershed are experiencing significant increase in nitrogen concentrations at an estimated rate of 0.0001–0.002 mg/L/yr. The potential reason for such increase is high rate of conversion of forested land to agricultural land causing usage of fertilizers that are rich in nitrogen.

scholarly journals Validasi Model Hidrologi SWAT di Daerah Tangkapan Air Waduk Mrica (Validation of The SWAT Hydrological Model on The Catchment Area of Mrica Reservoir)

2017 ◽  
Vol 36 (4) ◽  
pp. 467
Author(s):  
Lukman Hidayat ◽  
Putu Sudira ◽  
Sahid Susanto ◽  
Rachmad Jayadi
Keyword(s):  
Catchment Area ◽  
Hydrological Model ◽  
Assessment Tool ◽  
Agricultural Research ◽  
Land Conversion ◽  
Input Output ◽  
Soil Water Assessment Tool ◽  
Agricultural Research Service ◽  
Water Assessment ◽  
Research Service

Land cover index production has exceeded 80 % of the total area of  the upstream catchment area of Mrica reservoirs, indicating the occurrence of land conversion. Elementary hydrological model, is predicted as an extrapolation tool that can help to understand the complexity of watershed management, including land conversion. Soil Water Assessment Tool (SWAT) is a physically based, deterministic, continuous, watershed-scale hydrologic models that was developed by the USDA Agricultural Research Service. SWAT was developed from numerous individual models within a period more than 30 years, and has been applied in several areas. The aim of this study was applying the SWAT on the upstream region of Mrica reservoirs. The method of the research was using the SWAT modeling procedure through a systems based on input output processes (IO). Output model was in the form of flow rate, validated by means of calibration and verification using statistical and graphical criteria on monthly scale. The results showed that their value of R2 = 0.61, NSE = 0.61, PBIAS = -0.61 % and MB = -0.25 for calibration, and R2 = 0.74, NSE = 0.73, PBIAS = -4.06 % and MB = -1.57for verification. The value of the statistical test showed that the model SWAT has good degree of precision and accuracy in watershed modeling. NSE values > 0.65 indicates that the SWAT model has an accuracy of very good degree. Several challenges in this watershed modelling are the availability and adequacy of data, the optimizationof parameters, time and computer resources. ABSTRAKIndeks Penutupan Lahan (IPL) produksi yang telah melebihi 80 % dari total luas kawasan Hulu Daerah Tangkapan Air (DTA) waduk Mrica, mengindikasikan telah terjadinya alih fungsi lahan. Model hidrologi elementer, dipandang sebagai alat ekstrapolasi yang dapat membantu untuk memahami kompleksitas pengelolaan kawasan Daerah Aliran Sungai (DAS), di antaranya alih fungsi lahan. Soil Water Assessment Tool (SWAT) adalah model hidrologi skala DAS berbasis fisik, deterministik, dan kontinyu yang dikembangkan oleh USDA (United States of Department of Agriculture) Agricultural Research Service. Model SWAT dikembangkan dari sejumlah model-model individu dalam periode lebih dari 30 tahun, dan telah diaplikasikan pada beragam wilayah, dalam rentang waktu yang cukup lebar. Penelitian ini bertujuan untuk mengaplikasikan model SWAT pada kawasan hulu DTA waduk Mrica. Metode yang digunakan yaitu menjalankan prosedur pemodelan SWAT melalui pendekatan sistem yaitu proses Input Output (IO). Luaran model berupa debit aliran, yang kemudian divalidasi dengan cara kalibrasi dan verifikasi menggunakan kriteria statistik dan grafis pada skala bulanan. Hasilnya menunjukkan bahwa nilai R2 = 0,61, NSE = 0,61, PBIAS = -0,61 % dan MB = -0,25 untuk kalibrasi, dan R2 = 0,74, NSE = 0,73, PBIAS = -4,6 % dan MB = -1,57 untuk verifikasi. Nilai uji statistik tersebut menunjukkan bahwa model SWAT mempunyai tingkat presisi dan akurasi yang baik dalam pemodelan DAS. Nilai NSE > 0,65 mengindikasikan bahwa model SWAT yang diaplikasikan mempunyai tingkat akurasi mencapai derajat sangat baik. Tantangan yang dihadapi dalam pemodelan DAS ini yaitu ketersediaan dan kecukupan data, optimasi parameter, waktu dan sumberdaya komputer.

scholarly journals Optimal Calibration and Uncertainty Analysis of SWAT for an Arid Climate

2017 ◽  
Vol 10 ◽  
pp. 117862211773179 ◽  
Author(s):  
Milad Jajarmizadeh ◽  
Lariyah Mohd Sidek ◽  
Sobri Harun ◽  
Mohsen Salarpour
Keyword(s):  
Uncertainty Analysis ◽  
Assessment Tool ◽  
Swat Model ◽  
Watershed Modeling ◽  
Flow Simulation ◽  
Performance Criteria ◽  
Global Method ◽  
Optimum Parameters ◽  
Sensitive Parameters ◽  
Water Assessment

One of the major issues for semidistributed models is calibration of sensitive parameters. This study compared 3 scenarios for Soil and Water Assessment Tool (SWAT) model for calibration and uncertainty. Roodan watershed has been selected for simulation of daily flow in southern part of Iran with an area of 10 570 km2. After preparation of required data and implementation of the SWAT model, sensitivity analysis has been performed by Latin Hypercube One-factor-At-a-Time method on those parameters which are effective for flow simulation. Then, SWAT Calibration and Uncertainty Program (SWAT-CUP) has been used for calibration and uncertainty analysis. Three schemes for calibration were followed for the Roodan watershed modeling in calibration analysis as evolution. These include the following: the global method (scheme 1), this is a method that takes in all globally adjusted sensitive parameters for the whole watershed; the discretization method (scheme 2), this method considered the dominant features in calibration such as land use and soil type; the optimum parameters method (scheme 3), this method only adjusted those sensitive parameters by considering the effectiveness of their features. The results show that scheme 3 has better performance criteria for calibration and uncertainty analysis. Nash-Sutcliffe (NS) coefficient has been obtained 0.75 for scheme 3. However, schemes 1 and 2 resulted in NS 0.71 and 0.74, respectively, between predicted and observed daily flows. Moreover, percentage bias (P-bias) obtained was 6.7, 5.2, and 1.5 for schemes 1, 2, and 3, respectively. The result also shows that condition of parameters (parameter set) during calibration in SWAT-CUP program model has an important role to increase the performance of the model.

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