Uncertainty of SWAT model at different DEM resolutions in a large mountainous watershed

Zhang, Peipei; Liu, Ruimin; Bao, Yimeng; Wang, Jiawei; Yu, Wenwen; Shen, Zhenyao

doi:10.1016/j.watres.2014.01.018

Cited by 111 publications

(54 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is a physically based, semi-distributed and continuous time-step hydrologic model that is used for rainfall-runoff modeling as well as for predicting the impacts of land use and land management practices, and of climate change on the hydrology and water quality of watersheds or river basins. SWAT has been successfully applied to many parts of the world and proved to adequately reproduce hydrological processes of watersheds across a range of geographical regions and climates [31][32][33]. The water cycle simulated by ArcSWAT is based on a water balance, given as:…”

Section: Overview Of Arcswat Modelmentioning

confidence: 99%

Assessing Climate Change Impacts on Water Resources in the Songhua River Basin

Zhang

2016

Water

View full text Add to dashboard Cite

Abstract:The Songhua River Basin (SRB) in Northeast China is one of the areas most sensitive to global climate change because of its high-latitude location. In this study, we conducted a modeling assessment on the potential change of water resources in this region for the coming three decades using the Soil and Water Assessment Tool (SWAT). First, we calibrated and validated the model with historical streamflow records in this basin. Then, we applied the calibrated model for the period from 2020 to 2049 with the projected and downscaled climatic data under two emission scenarios (RCP 4.5 and RCP 8.5). The study results show: (1) The SWAT model performed very well for both the calibration and validation periods in the SRB; (2) The projected temperatures showed a steady, significant increase across the SRB under both scenarios, especially in two sub-basins, the Nenjiang River Basin (NRB) and the Lower SRB (LSRB). With regard to precipitation, both scenarios showed a decreasing trend in the NRB and LSRB but an increasing trend in the Upper Songhua River Basin (USRB); and (3), generally, the hydrologic modeling suggested a decreasing trend of streamflow for 2020-2049. Compared to baseline conditions , the streamflow in the NRB and LSRB would decrease by 20.3%-37.8%, while streamflow in the USRB would experience an increase of 9.68%-17.7%. These findings provide relevant insights into future surface water resources, and such information can be helpful for resource managers and policymakers to develop effective eco-environment management plans and strategies in the face of climate change.

show abstract

Section: Overview Of Arcswat Modelmentioning

confidence: 99%

Assessing Climate Change Impacts on Water Resources in the Songhua River Basin

Zhang

2016

Water

View full text Add to dashboard Cite

show abstract

“…Several studies have attempted to explore the sensitivity of hydrological models to land use [11,12], climate [9,13,14], or digital elevation models (DEM) [12,15]. Some studies conducted initial tests on the available data prior to calibration, then chose the data that appeared to perform the best based on certain model efficiency criteria [16,17].…”

Section: Introductionmentioning

confidence: 99%

“…Some studies conducted initial tests on the available data prior to calibration, then chose the data that appeared to perform the best based on certain model efficiency criteria [16,17]. Others studied the sensitivity of model outputs to precipitation ensembles [18,19], and their effects on water resource components of non-calibrated models [14,15,20]. Although all these schemes are important and necessary, in all of them, the prediction uncertainty was based on only one dataset.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Uncertainty of Multiple Input Datasets in the Prediction of Water Resource Components

Kamali

Abbaspour

Yang

2017

Water

View full text Add to dashboard Cite

A large number of local and global databases for soil, land use, crops, and climate are now available from different sources, which often differ, even when addressing the same spatial and temporal resolutions. As the correct database is unknown, their impact on estimating water resource components (WRC) has mostly been ignored. Here, we study the uncertainty stemming from the use of multiple databases and their impacts on WRC estimates such as blue water and soil water for the Karkheh River Basin (KRB) in Iran. Four climate databases and two land use maps were used to build multiple configurations of the KRB model using the soil and water assessment tool (SWAT), which were similarly calibrated against monthly river discharges. We classified the configurations based on their calibration performances and estimated WRC for each one. The results showed significant differences in WRC estimates, even in models of the same class i.e., with similar performance after calibration. We concluded that a non-negligible level of uncertainty stems from the availability of different sources of input data. As the use of any one database among several produces questionable outputs, it is prudent for modelers to pay more attention to the selection of input data.

show abstract

“…It is developed for assessing the impact of management and climate on water supplies, sediment, and agricultural chemical yields in watersheds and larger river basins. SWAT has been widely studied and applied to a number of regions in the world with satisfactory results (BONUMÁ et al, 2014PEREIRA et al, 2014;ZHANG et al, 2014;ABBASPOUR et al, 2015;BRESSIANI et al, 2015). SWAT-CUP (ABBASPOUR et al, 2007) is a software developed for calibrating SWAT parameters and for performing an uncertainty analysis of the modeling results.…”

Section: Introductionmentioning

confidence: 99%

“…Such difficulty increases the uncertainties involved in the modeling process, especially during the calibration and validation stages. Therefore, methods which evaluate the uncertainty and the sensitivity of modeling parameters are necessary (ZHANG et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Hydrological Modeling of Tributaries of Cantareira System, Southeast Brazil, with the Swat Model

et al. 2016

View full text Add to dashboard Cite

ABSTRACT:The lack of hydrological data in Brazil is the main limitation for structuring hydrological models, which are able to assist water resources management. Therefore, studies are needed to evaluate the performance of models without on-site calibration. Within this context, the aim of this study was to calibrate the SWAT hydrological model for the Camanducaia River Basin and to evaluate the performance of this calibration in a contiguous drainage basin, one of the Jaguarí River. For the calibration and validation steps, the SWAT-CUP program was utilized. Uncertainty analysis and calculation of efficiency indexes were carried out through the SUFI-2 algorithm. The SWAT adjustment in the Camanducaia River Basin obtained adequate results, with a Nash-Sutcliffe coefficient higher than 0.80 in the monthly time step and of 0.64 for the daily time step. With the parametrical transfer of this model to the Jaguarí River Basin, simulations were classified as very good in the monthly time step and acceptable for the daily time step. Based on these results, it can be concluded that the parametric transfer is a promising technique to model ungauged catchments, and can contribute towards water resources management in the river basins of the Mantiqueira Range region, as well as in other regions with shortage of hydrological monitoring.

show abstract

Uncertainty of SWAT model at different DEM resolutions in a large mountainous watershed

Cited by 111 publications

References 57 publications

Assessing Climate Change Impacts on Water Resources in the Songhua River Basin

Assessing Climate Change Impacts on Water Resources in the Songhua River Basin

Assessing the Uncertainty of Multiple Input Datasets in the Prediction of Water Resource Components

Hydrological Modeling of Tributaries of Cantareira System, Southeast Brazil, with the Swat Model

Contact Info

Product

Resources

About