Characteristic Analysis of Ecological Water Use in Xilin River Basin Based on Remote Sensing
- DOI
- 10.2991/jrarc.2018.8.4.7How to use a DOI?
- Keywords
- Xilin River basin, ecological water use, remote sensing, land use
- Abstract
Our study area is the Xilin River basin. Remote sensing approach was used to retrieve ecological water use by using MODIS images from Apr. to Sept. of 2000、2007、2010- 2014, and using auxiliary environmental data from the same time periods. The results showed the spatial distribution of ecological water use was consistent with the land surface condition. The ecological water use had the trend of strip reduction from the upstream to the middle and lower reaches. The annual variation was extremely related to the precipitation. Large amount of precipitation in the year, ecological water use was larger, and vice versa. The areas with higher ecological water use were forest land and farmland, followed by unutilized land. Grassland and construction land were lower. The order of ecological water use of different land use type was basically: forest land> farmland>unutilized land>construction land>grassland. In the year of abundant water, the time of the maximum value of ecological water use appeared in June-July with the time of precipitation. In dry year, the time of the maximum value had no rule. The single factor correlation analysis of the monthly ecological water use and monthly meteorological factors showed that the most relevant meteorological factor is precipitation. The correlation coefficient is 0.776.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Hongbo Yu AU - Jie Chen AU - Qiaofeng Zhang PY - 2018 DA - 2018/12/31 TI - Characteristic Analysis of Ecological Water Use in Xilin River Basin Based on Remote Sensing JO - Journal of Risk Analysis and Crisis Response SP - 216 EP - 222 VL - 8 IS - 4 SN - 2210-8505 UR - https://doi.org/10.2991/jrarc.2018.8.4.7 DO - 10.2991/jrarc.2018.8.4.7 ID - Yu2018 ER -