Attribution of Changes in Streamflow to Climate Change and Land Cover Change in Yangtze River Source Region, China
The quantitative attribution of changes in streamflow to climate change (CC) and land cover change (LCC) for the Yangtze River Source Region (YRSR), China, was assessed. We used a combination of the SWAT model along with the statistical technique one factor at a time (OFAT) and innovative trend anal...
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| Format: | Article |
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MDPI AG
2022-01-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/14/2/259 |
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| author | Naveed Ahmed Genxu Wang Haishen Lü Martijn J. Booij Hero Marhaento Foyez Ahmed Prodhan Shahid Ali Muhammad Ali Imran |
| author_facet | Naveed Ahmed Genxu Wang Haishen Lü Martijn J. Booij Hero Marhaento Foyez Ahmed Prodhan Shahid Ali Muhammad Ali Imran |
| author_sort | Naveed Ahmed |
| collection | DOAJ |
| description | The quantitative attribution of changes in streamflow to climate change (CC) and land cover change (LCC) for the Yangtze River Source Region (YRSR), China, was assessed. We used a combination of the SWAT model along with the statistical technique one factor at a time (OFAT) and innovative trend analysis (ITA) to achieve the study objectives. The climate and hydrology data from 1961 to 2016 and land-cover maps of 5 years’ difference from 1985 to 2015 were used. The model was calibrated (1964–1989) using a land-cover map of 1985 and validated for 1990–2016. This validated model was further validated for all other land-cover maps used in this study. The SWAT model simulation showed that streamflow had been significantly influenced by CC compared to LCC using land-cover maps of 1985–1990, 1990–1995. However, the SWAT model simulations did not result in further changes in streamflow for land cover maps of 2000–2005, 2005–2010, and 2010–2015 because there have not been any significant changes in land cover after 2000 while the main contributing factor was climate change. The SWAT model simulations showed that the main driver of changes in streamflow in the Yangtze River Source Region is climate change. This study shows that the individual impacts are more critical than combined impacts for designing hydraulic structures, water resources planning and management, and decision-making policies at the regional/basin scale. |
| first_indexed | 2024-03-10T00:20:21Z |
| format | Article |
| id | doaj.art-ecce7ccbe4f44b3a8ae91f768665815f |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T00:20:21Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-ecce7ccbe4f44b3a8ae91f768665815f2023-11-23T15:45:29ZengMDPI AGWater2073-44412022-01-0114225910.3390/w14020259Attribution of Changes in Streamflow to Climate Change and Land Cover Change in Yangtze River Source Region, ChinaNaveed Ahmed0Genxu Wang1Haishen Lü2Martijn J. Booij3Hero Marhaento4Foyez Ahmed Prodhan5Shahid Ali6Muhammad Ali Imran7Key Laboratory of Mountain Surface Process and Ecological Regulations, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, ChinaState Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaWater Engineering and Management Group, Faculty of Engineering Technology, University of Twente, 7522 Enschede, The NetherlandsFaculty of Forestry, Universitas Gadjah Mada, Yogyakarta 55281, IndonesiaDepartment of Agricultural Extension and Rural Development, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, BangladeshDepartment of Civil Engineering, National University of Computer and Emerging Sciences, Foundation for Advancement of Science and Technology, Lahore 54000, PakistanSchool of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, ChinaThe quantitative attribution of changes in streamflow to climate change (CC) and land cover change (LCC) for the Yangtze River Source Region (YRSR), China, was assessed. We used a combination of the SWAT model along with the statistical technique one factor at a time (OFAT) and innovative trend analysis (ITA) to achieve the study objectives. The climate and hydrology data from 1961 to 2016 and land-cover maps of 5 years’ difference from 1985 to 2015 were used. The model was calibrated (1964–1989) using a land-cover map of 1985 and validated for 1990–2016. This validated model was further validated for all other land-cover maps used in this study. The SWAT model simulation showed that streamflow had been significantly influenced by CC compared to LCC using land-cover maps of 1985–1990, 1990–1995. However, the SWAT model simulations did not result in further changes in streamflow for land cover maps of 2000–2005, 2005–2010, and 2010–2015 because there have not been any significant changes in land cover after 2000 while the main contributing factor was climate change. The SWAT model simulations showed that the main driver of changes in streamflow in the Yangtze River Source Region is climate change. This study shows that the individual impacts are more critical than combined impacts for designing hydraulic structures, water resources planning and management, and decision-making policies at the regional/basin scale.https://www.mdpi.com/2073-4441/14/2/259climate changeinnovative trend analysisland cover changeSWAT modelstreamflowYangtze River |
| spellingShingle | Naveed Ahmed Genxu Wang Haishen Lü Martijn J. Booij Hero Marhaento Foyez Ahmed Prodhan Shahid Ali Muhammad Ali Imran Attribution of Changes in Streamflow to Climate Change and Land Cover Change in Yangtze River Source Region, China Water climate change innovative trend analysis land cover change SWAT model streamflow Yangtze River |
| title | Attribution of Changes in Streamflow to Climate Change and Land Cover Change in Yangtze River Source Region, China |
| title_full | Attribution of Changes in Streamflow to Climate Change and Land Cover Change in Yangtze River Source Region, China |
| title_fullStr | Attribution of Changes in Streamflow to Climate Change and Land Cover Change in Yangtze River Source Region, China |
| title_full_unstemmed | Attribution of Changes in Streamflow to Climate Change and Land Cover Change in Yangtze River Source Region, China |
| title_short | Attribution of Changes in Streamflow to Climate Change and Land Cover Change in Yangtze River Source Region, China |
| title_sort | attribution of changes in streamflow to climate change and land cover change in yangtze river source region china |
| topic | climate change innovative trend analysis land cover change SWAT model streamflow Yangtze River |
| url | https://www.mdpi.com/2073-4441/14/2/259 |
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