Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/w15183240 |
CMADS and CFSR Data-Driven SWAT Modeling for Impacts of Climate and Land-Use Change on Runoff | |
Du, Bailin; Wu, Lei; Ruan, Bingnan; Xu, Liujia; Liu, Shuai | |
通讯作者 | Wu, L |
来源期刊 | WATER
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EISSN | 2073-4441 |
出版年 | 2023 |
卷号 | 15期号:18 |
英文摘要 | Climate and land-use change significantly impact hydrological processes and water resources management. However, studies of runoff simulation accuracy and attribution analysis in large-scale basins based on multi-source data and different scenario projections are limited. This study employed the Soil and Water Assessment Tool (SWAT) model in conjunction with spatial interpolation techniques to evaluate the accuracy of Climate Forecast System Reanalysis (CFSR), China Meteorological Assimilation Driven Dataset (CMADS), and observation (OBS) in runoff simulations, and configured various scenarios using the Patch-generating Land-use Simulation (PLUS) model to analyze effects of climate and land-use changes on runoff in the Jing River Basin from 1999 to 2018. Results demonstrated the superior performance of the CMADS+SWAT model compared to than CFSR+SWAT model, as the latter underestimated peak runoff. Changes in precipitation had a stronger impact on runoff than temperature, with increased flow from farmland and strong interception effects from forestland. Integrated climate and land-use changes led to an average annual runoff reduction of 1.24 m3/s (I2), primarily attributed to climate change (1.12 m3/s, I3), with a small contribution from land-use change (0.12 m3/s, I4). CMADS exhibited robust applicability under diverse scenarios, effectively enhancing runoff simulation accuracy. The findings provide invaluable guidance for water resources management in semi-arid regions. |
英文关键词 | data precision SWAT scenario simulation attribution analysis runoff response |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:001074140300001 |
WOS关键词 | PRECIPITATION PRODUCTS ; RAINFALL DATA ; STREAMFLOW ; SATELLITE ; BASIN ; UNCERTAINTY ; VARIABILITY ; CATCHMENT |
WOS类目 | Environmental Sciences ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/399071 |
推荐引用方式 GB/T 7714 | Du, Bailin,Wu, Lei,Ruan, Bingnan,et al. CMADS and CFSR Data-Driven SWAT Modeling for Impacts of Climate and Land-Use Change on Runoff[J],2023,15(18). |
APA | Du, Bailin,Wu, Lei,Ruan, Bingnan,Xu, Liujia,&Liu, Shuai.(2023).CMADS and CFSR Data-Driven SWAT Modeling for Impacts of Climate and Land-Use Change on Runoff.WATER,15(18). |
MLA | Du, Bailin,et al."CMADS and CFSR Data-Driven SWAT Modeling for Impacts of Climate and Land-Use Change on Runoff".WATER 15.18(2023). |
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