Research on Impacts of Climate Change and Human Activitieson Runoff in the Yiluo River Based on SWAT Model
Taking Yiluo River in the Yellow River Basin as the research object, this paper analyzes the impacts of numbers of HRUs (Hydrological Response Units) on SWAT model parameters and simulation performance and applies it on the attribution analysis of the change on annual runoff in Yiluo River by compar...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Pearl River
2020-01-01
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| Series: | Renmin Zhujiang |
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| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.01.001 |
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| _version_ | 1841535541586165760 |
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| author | LIU Lyuliu WANG Xiujie ZHANG Pengfei |
| author_facet | LIU Lyuliu WANG Xiujie ZHANG Pengfei |
| author_sort | LIU Lyuliu |
| collection | DOAJ |
| description | Taking Yiluo River in the Yellow River Basin as the research object, this paper analyzes the impacts of numbers of HRUs (Hydrological Response Units) on SWAT model parameters and simulation performance and applies it on the attribution analysis of the change on annual runoff in Yiluo River by comparing among six HRUs division schemes. The results indicate that: CSC runoff curve number (CN2), available water capacity of soil layer (SOL_AWC),deep aquifer percclation fraction(RCHRG_DP),baseflow alpha factor for bank storage(ALPHA_BNK) are sensitive parameters in the SWAT runoff simulation of Yiluo River. The number of HRUs has limited effects on SWAT model parameters and runoff simulation accuracy. Affected by climate change and human activities, observed annual runoff during 1986 to 2015 decreased compared with that from 1971 to 1985. During the three periods of 1986—1995, 1996—2005 and 2006—2015, the relative contribution rate of climate change on annual runoff change was 68.7%, 22.5% and 83.1%respectively, that of human activities excluding LUCC was 30.9%, 76.7% and 16.9%respectively, while that of LUCC was less than 1%. Therefore, human activities can reduce the impacts of climate change on runoff, and maintain the observed annual runoff of river within a stable range. |
| format | Article |
| id | doaj-art-65736131ff134b77a38475e4e18b3eb0 |
| institution | Kabale University |
| issn | 1001-9235 |
| language | zho |
| publishDate | 2020-01-01 |
| publisher | Editorial Office of Pearl River |
| record_format | Article |
| series | Renmin Zhujiang |
| spelling | doaj-art-65736131ff134b77a38475e4e18b3eb02025-01-15T02:31:08ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352020-01-014147651598Research on Impacts of Climate Change and Human Activitieson Runoff in the Yiluo River Based on SWAT ModelLIU LyuliuWANG XiujieZHANG PengfeiTaking Yiluo River in the Yellow River Basin as the research object, this paper analyzes the impacts of numbers of HRUs (Hydrological Response Units) on SWAT model parameters and simulation performance and applies it on the attribution analysis of the change on annual runoff in Yiluo River by comparing among six HRUs division schemes. The results indicate that: CSC runoff curve number (CN2), available water capacity of soil layer (SOL_AWC),deep aquifer percclation fraction(RCHRG_DP),baseflow alpha factor for bank storage(ALPHA_BNK) are sensitive parameters in the SWAT runoff simulation of Yiluo River. The number of HRUs has limited effects on SWAT model parameters and runoff simulation accuracy. Affected by climate change and human activities, observed annual runoff during 1986 to 2015 decreased compared with that from 1971 to 1985. During the three periods of 1986—1995, 1996—2005 and 2006—2015, the relative contribution rate of climate change on annual runoff change was 68.7%, 22.5% and 83.1%respectively, that of human activities excluding LUCC was 30.9%, 76.7% and 16.9%respectively, while that of LUCC was less than 1%. Therefore, human activities can reduce the impacts of climate change on runoff, and maintain the observed annual runoff of river within a stable range.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.01.001SWAT modelHRUs divisionimpacts of climate changeimpacts of human activitiesattribution of runoff changeYiluo River |
| spellingShingle | LIU Lyuliu WANG Xiujie ZHANG Pengfei Research on Impacts of Climate Change and Human Activitieson Runoff in the Yiluo River Based on SWAT Model Renmin Zhujiang SWAT model HRUs division impacts of climate change impacts of human activities attribution of runoff change Yiluo River |
| title | Research on Impacts of Climate Change and Human Activitieson Runoff in the Yiluo River Based on SWAT Model |
| title_full | Research on Impacts of Climate Change and Human Activitieson Runoff in the Yiluo River Based on SWAT Model |
| title_fullStr | Research on Impacts of Climate Change and Human Activitieson Runoff in the Yiluo River Based on SWAT Model |
| title_full_unstemmed | Research on Impacts of Climate Change and Human Activitieson Runoff in the Yiluo River Based on SWAT Model |
| title_short | Research on Impacts of Climate Change and Human Activitieson Runoff in the Yiluo River Based on SWAT Model |
| title_sort | research on impacts of climate change and human activitieson runoff in the yiluo river based on swat model |
| topic | SWAT model HRUs division impacts of climate change impacts of human activities attribution of runoff change Yiluo River |
| url | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.01.001 |
| work_keys_str_mv | AT liulyuliu researchonimpactsofclimatechangeandhumanactivitiesonrunoffintheyiluoriverbasedonswatmodel AT wangxiujie researchonimpactsofclimatechangeandhumanactivitiesonrunoffintheyiluoriverbasedonswatmodel AT zhangpengfei researchonimpactsofclimatechangeandhumanactivitiesonrunoffintheyiluoriverbasedonswatmodel |