Assessing Variations in Water Use Efficiency and Linkages with Land-Use Changes Using Three Different Data Sources: A Case Study of the Yellow River, China
The dependence of water use efficiency (WUE) on changes in land cover types is crucial for understanding of long-term water availability and assessment of water-saving strategies. Investigating the impact of land cover types on ecosystem WUE has important implications when revealing water dynamics a...
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| Format: | Article |
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MDPI AG
2022-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/5/1065 |
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| author | Huaiwei Sun Lin Chen Yong Yang Mengge Lu Hui Qin Bingqian Zhao Mengtian Lu Jie Xue Dong Yan |
| author_facet | Huaiwei Sun Lin Chen Yong Yang Mengge Lu Hui Qin Bingqian Zhao Mengtian Lu Jie Xue Dong Yan |
| author_sort | Huaiwei Sun |
| collection | DOAJ |
| description | The dependence of water use efficiency (WUE) on changes in land cover types is crucial for understanding of long-term water availability and assessment of water-saving strategies. Investigating the impact of land cover types on ecosystem WUE has important implications when revealing water dynamics and land management. However, the determination of WUE and its dominant factors have always been subject to high data dependency and large calculation consumption within large basins. This paper proposes a framework for processing actual evapotranspiration (AET) and WUE calculation by coupling the Maximum Entropy Production (MEP) method with the Google Earth Engine (GEE). By employing the proposed framework and three data sources available in the GEE platform, results for actual ET and WUE from 2001 to 2020 were obtained in the Yellow River Basin (YRB). The results show that the proposed framework provides an acceptable estimation of actual ET via validation with Eddy Covariance flux sites in the YRB. The calculated WUE values varied greatly in different sub-basins within the YRB, indicating a cumulative growth rate of about 56% during the past 20 years. The dominant factor that led to these changes was the transition from Grasslands into other land-use types. Our results suggest that the use of the GEE platform coupled with the MEP method offers new possibilities for advancing understanding of water exchange and water resource management. |
| first_indexed | 2024-03-09T20:24:31Z |
| format | Article |
| id | doaj.art-a6c89ba0e6d14483bc7fcd2e06feac34 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T20:24:31Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-a6c89ba0e6d14483bc7fcd2e06feac342023-11-23T23:40:48ZengMDPI AGRemote Sensing2072-42922022-02-01145106510.3390/rs14051065Assessing Variations in Water Use Efficiency and Linkages with Land-Use Changes Using Three Different Data Sources: A Case Study of the Yellow River, ChinaHuaiwei Sun0Lin Chen1Yong Yang2Mengge Lu3Hui Qin4Bingqian Zhao5Mengtian Lu6Jie Xue7Dong Yan8Hubei Key Laboratory of Digital Valley Science and Technology, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaHubei Key Laboratory of Digital Valley Science and Technology, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaHubei Key Laboratory of Digital Valley Science and Technology, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaHubei Key Laboratory of Digital Valley Science and Technology, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaHubei Key Laboratory of Digital Valley Science and Technology, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaHubei Key Laboratory of Digital Valley Science and Technology, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaInstitute of Municipal Engineering, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310030, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaHubei Key Laboratory of Digital Valley Science and Technology, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaThe dependence of water use efficiency (WUE) on changes in land cover types is crucial for understanding of long-term water availability and assessment of water-saving strategies. Investigating the impact of land cover types on ecosystem WUE has important implications when revealing water dynamics and land management. However, the determination of WUE and its dominant factors have always been subject to high data dependency and large calculation consumption within large basins. This paper proposes a framework for processing actual evapotranspiration (AET) and WUE calculation by coupling the Maximum Entropy Production (MEP) method with the Google Earth Engine (GEE). By employing the proposed framework and three data sources available in the GEE platform, results for actual ET and WUE from 2001 to 2020 were obtained in the Yellow River Basin (YRB). The results show that the proposed framework provides an acceptable estimation of actual ET via validation with Eddy Covariance flux sites in the YRB. The calculated WUE values varied greatly in different sub-basins within the YRB, indicating a cumulative growth rate of about 56% during the past 20 years. The dominant factor that led to these changes was the transition from Grasslands into other land-use types. Our results suggest that the use of the GEE platform coupled with the MEP method offers new possibilities for advancing understanding of water exchange and water resource management.https://www.mdpi.com/2072-4292/14/5/1065ecosystem water use efficiencygoogle earth engineland use changemaximum entropy productionYellow River Basin |
| spellingShingle | Huaiwei Sun Lin Chen Yong Yang Mengge Lu Hui Qin Bingqian Zhao Mengtian Lu Jie Xue Dong Yan Assessing Variations in Water Use Efficiency and Linkages with Land-Use Changes Using Three Different Data Sources: A Case Study of the Yellow River, China Remote Sensing ecosystem water use efficiency google earth engine land use change maximum entropy production Yellow River Basin |
| title | Assessing Variations in Water Use Efficiency and Linkages with Land-Use Changes Using Three Different Data Sources: A Case Study of the Yellow River, China |
| title_full | Assessing Variations in Water Use Efficiency and Linkages with Land-Use Changes Using Three Different Data Sources: A Case Study of the Yellow River, China |
| title_fullStr | Assessing Variations in Water Use Efficiency and Linkages with Land-Use Changes Using Three Different Data Sources: A Case Study of the Yellow River, China |
| title_full_unstemmed | Assessing Variations in Water Use Efficiency and Linkages with Land-Use Changes Using Three Different Data Sources: A Case Study of the Yellow River, China |
| title_short | Assessing Variations in Water Use Efficiency and Linkages with Land-Use Changes Using Three Different Data Sources: A Case Study of the Yellow River, China |
| title_sort | assessing variations in water use efficiency and linkages with land use changes using three different data sources a case study of the yellow river china |
| topic | ecosystem water use efficiency google earth engine land use change maximum entropy production Yellow River Basin |
| url | https://www.mdpi.com/2072-4292/14/5/1065 |
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