Arid
DOI10.3390/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
EISSN2073-4441
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).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Du, Bailin]的文章
[Wu, Lei]的文章
[Ruan, Bingnan]的文章
百度学术
百度学术中相似的文章
[Du, Bailin]的文章
[Wu, Lei]的文章
[Ruan, Bingnan]的文章
必应学术
必应学术中相似的文章
[Du, Bailin]的文章
[Wu, Lei]的文章
[Ruan, Bingnan]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。