Model of Eco-Water Driving Force Affecting the Evolvement of Runoff in the Upper Minjiang River Basin
The amount of eco-water resources reflects the land surface water conservation capability, and the underlying surface condition in the hydrologic cycle. In the upper Minjiang River Basin, the amounts of eco-water resources were retrieved from remotely sensed data during 1992 to 2005. Through regress...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2016-10-01
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| Series: | Polish Maritime Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/pomr-2016-0051 |
| _version_ | 1818695650432253952 |
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| author | Huang Jin Yang Wunian Peng Li Ashraf Muhammad Aqeel |
| author_facet | Huang Jin Yang Wunian Peng Li Ashraf Muhammad Aqeel |
| author_sort | Huang Jin |
| collection | DOAJ |
| description | The amount of eco-water resources reflects the land surface water conservation capability, and the underlying surface condition in the hydrologic cycle. In the upper Minjiang River Basin, the amounts of eco-water resources were retrieved from remotely sensed data during 1992 to 2005. Through regression analysis between the retrieved eco-water data and the climate hydrological data mainly including the temperature, the precipitation, and the runoff in the same period, the model of eco-water driving force affecting the evolvement of runoff was established. The accuracy analysis indicates that the model can well describe the relationship between dry season runoff and its driven factors, the measured data validation proves that the model has high precision and good practicability. The eco-water remote sensing inversion provides a valid method to quantify the land surface water conservation capability, and suggests an interesting approach for the driving function quantitative researches of underlying surface factor in the hydrologic cycle. |
| first_indexed | 2024-12-17T13:48:51Z |
| format | Article |
| id | doaj.art-983724cd96f944feaf9f30289af5b364 |
| institution | Directory Open Access Journal |
| issn | 2083-7429 |
| language | English |
| last_indexed | 2024-12-17T13:48:51Z |
| publishDate | 2016-10-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Polish Maritime Research |
| spelling | doaj.art-983724cd96f944feaf9f30289af5b3642022-12-21T21:46:06ZengSciendoPolish Maritime Research2083-74292016-10-0123s1919610.1515/pomr-2016-0051pomr-2016-0051Model of Eco-Water Driving Force Affecting the Evolvement of Runoff in the Upper Minjiang River BasinHuang Jin0Yang Wunian1Peng Li2Ashraf Muhammad Aqeel3Key Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resources of the China, Chengdu University of Technology, Chengdu, Sichuan, 610059 China MalaysiaKey Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resources of the China, Chengdu University of Technology, Chengdu, Sichuan, 610059 China MalaysiaKey Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resources of the China, Chengdu University of Technology, Chengdu, Sichuan, 610059 China MalaysiaKey Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resources of the China, Chengdu University of Technology, Chengdu, Sichuan, 610059 China MalaysiaThe amount of eco-water resources reflects the land surface water conservation capability, and the underlying surface condition in the hydrologic cycle. In the upper Minjiang River Basin, the amounts of eco-water resources were retrieved from remotely sensed data during 1992 to 2005. Through regression analysis between the retrieved eco-water data and the climate hydrological data mainly including the temperature, the precipitation, and the runoff in the same period, the model of eco-water driving force affecting the evolvement of runoff was established. The accuracy analysis indicates that the model can well describe the relationship between dry season runoff and its driven factors, the measured data validation proves that the model has high precision and good practicability. The eco-water remote sensing inversion provides a valid method to quantify the land surface water conservation capability, and suggests an interesting approach for the driving function quantitative researches of underlying surface factor in the hydrologic cycle.https://doi.org/10.1515/pomr-2016-0051eco-waterremote sensing quantitative retrievalupper minjiang riverrunoff prediction |
| spellingShingle | Huang Jin Yang Wunian Peng Li Ashraf Muhammad Aqeel Model of Eco-Water Driving Force Affecting the Evolvement of Runoff in the Upper Minjiang River Basin Polish Maritime Research eco-water remote sensing quantitative retrieval upper minjiang river runoff prediction |
| title | Model of Eco-Water Driving Force Affecting the Evolvement of Runoff in the Upper Minjiang River Basin |
| title_full | Model of Eco-Water Driving Force Affecting the Evolvement of Runoff in the Upper Minjiang River Basin |
| title_fullStr | Model of Eco-Water Driving Force Affecting the Evolvement of Runoff in the Upper Minjiang River Basin |
| title_full_unstemmed | Model of Eco-Water Driving Force Affecting the Evolvement of Runoff in the Upper Minjiang River Basin |
| title_short | Model of Eco-Water Driving Force Affecting the Evolvement of Runoff in the Upper Minjiang River Basin |
| title_sort | model of eco water driving force affecting the evolvement of runoff in the upper minjiang river basin |
| topic | eco-water remote sensing quantitative retrieval upper minjiang river runoff prediction |
| url | https://doi.org/10.1515/pomr-2016-0051 |
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