Evapotranspiration in the Mekong and Yellow river basins
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作者:
Zhou, Maichun
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S China Agr Univ, Coll Water Conservancy & Civil Engn, Guangzhou 510642, Guangdong, Peoples R ChinaS China Agr Univ, Coll Water Conservancy & Civil Engn, Guangzhou 510642, Guangdong, Peoples R China
Zhou, Maichun
[1
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Ishidaira, Hiroshi
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Univ Yamanashi, Interdisciplinary Grad Sch Med & Engn, Kofu, Yamanashi 4008511, JapanS China Agr Univ, Coll Water Conservancy & Civil Engn, Guangzhou 510642, Guangdong, Peoples R China
Ishidaira, Hiroshi
[2
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Takeuchi, Kuniyoshi
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UNESCO, PWRI, Int Ctr Water Hazard & Risk Management ICHARM, Tsukuba, Ibaraki 3058516, JapanS China Agr Univ, Coll Water Conservancy & Civil Engn, Guangzhou 510642, Guangdong, Peoples R China
Takeuchi, Kuniyoshi
[3
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Gao, Yongtong
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S China Agr Univ, Guangzhou 510642, Guangdong, Peoples R ChinaS China Agr Univ, Coll Water Conservancy & Civil Engn, Guangzhou 510642, Guangdong, Peoples R China
Gao, Yongtong
[4
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机构:
[1] S China Agr Univ, Coll Water Conservancy & Civil Engn, Guangzhou 510642, Guangdong, Peoples R China
[2] Univ Yamanashi, Interdisciplinary Grad Sch Med & Engn, Kofu, Yamanashi 4008511, Japan
[3] UNESCO, PWRI, Int Ctr Water Hazard & Risk Management ICHARM, Tsukuba, Ibaraki 3058516, Japan
[4] S China Agr Univ, Guangzhou 510642, Guangdong, Peoples R China
Estimates of potential evapotranspiration ( PET) and reference evapotranspiration (RET) were compared over the Mekong and Yellow river basins, representing humid and semi-arid Asian monsoon regions. Multiple regression relationships between monthly RET, PET, LAI ( leaf area index) and climatic variables were explored for different vegetation types. Over the Mekong River basin, the spatial average of RET is only 1.7% lower than PET; however, RET is 140% higher than PET over parts of the Tibetan Plateau, due to the short and sparse grassland, and 30% lower than PET in parts of the lower basin due to the tall and well-developed forests. Over the Yellow River basin, RET is estimated to be higher than PET, on average about 50% higher across the whole basin, due to the generally sparse vegetation. A close linear relationship between annual RET and PET allows the establishment of a regional regression to predict monthly PET from monthly RET, climatic variables and/or vegetation LAI. However, the large prediction errors indicate that the Shuttleworth-Wallace (S-W) model, although it is more complex, should be recommended due to its more robust physical basis and because it successfully accounts for the effect of changing land surface conditions on PET. The limited available field data suggest that the S-W estimate may be more realistic. It was also found that vegetation conditions in summer are primarily controlled by the regional antecedent precipitation in the cold and dry seasons over the Loess Plateau in the middle reaches of the Yellow River.
机构:
Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Processes & Resource, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Processes & Resource, Beijing 100875, Peoples R China
Wang, Yaping
Wang, Shuai
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Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Processes & Resource, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Processes & Resource, Beijing 100875, Peoples R China
Wang, Shuai
Zhao, Wenwu
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Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Processes & Resource, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Processes & Resource, Beijing 100875, Peoples R China
Zhao, Wenwu
Liu, Yanxu
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Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Processes & Resource, Beijing 100875, Peoples R ChinaBeijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Processes & Resource, Beijing 100875, Peoples R China
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China
Li, Bin
Chen, Fang
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China
Chen, Fang
Liu, Xiaomang
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Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China
机构:
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Li, Bin
Chen, Fang
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
Chen, Fang
Guo, Huadong
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
机构:
Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R ChinaChinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
Ma, Ning
Zhang, Yongqiang
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Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R ChinaChinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
Zhang, Yongqiang
Szilagyi, Jozsef
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Budapest Univ Technol & Econ, Dept Hydraul & Water Resources Engn, Budapest, HungaryChinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
机构:
Department of Applied Geology, Indian Institute of Technology (ISM), Dhanbad, IndiaDepartment of Applied Geology, Indian Institute of Technology (ISM), Dhanbad, India
Soni, Aarti
Syed, Tajdarul H.
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Department of Applied Geology, Indian Institute of Technology (ISM), Dhanbad, IndiaDepartment of Applied Geology, Indian Institute of Technology (ISM), Dhanbad, India