Journals - MOST Wiedzy

Logo

MODEL OF ECO-WATER DRIVING FORCE AFFECTING THE EVOLVEMENT OF RUNOFF IN THE UPPER MINJIANG RIVER BASIN

Abstract

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.

Keywords:

Eco-water, Remote Sensing Quantitative Retrieval, Upper Minjiang River, Runoff Prediction

Details

Issue
Vol. 23 No. S1(91) (2016)
Section
Latest Articles
Published
16-11-2016
DOI:
https://doi.org/10.1515/pomr-2016-0051
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Open Access License

This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the CC BY 4.0 license.

 

Authors

  • Jin Huang

    Chengdu University of Technology, Key Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resources of the P.R. China
  • Wunian Yang

    Chengdu University of Technology, Key Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resources of the P.R. China
  • Li Peng

    Chengdu University of Technology, Key Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resources of the P.R. China
  • Muhammad Aqeel Ashraf

    Chengdu University of Technology, Key Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resources of the P.R. China

Download paper