Affiliations 

  • 1 College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, 830017, China
  • 2 College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China. zhangfei3s@163.com
  • 3 Department of Earth Sciences, The University of Memphis, Memphis, TN, 38152, USA
  • 4 GeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, 11800, Penang, USM, Malaysia
  • 5 College of Geographic Science and Tourism, Xinjiang Normal University, Urumqi, 830054, China
Environ Sci Pollut Res Int, 2024 Feb;31(6):9333-9346.
PMID: 38191729 DOI: 10.1007/s11356-023-31702-2

Abstract

As an inland dryland lake basin, the rivers and lakes within the Lake Bosten basin provide scarce but valuable water resources for a fragile environment and play a vital role in the development and sustainability of the local societies. Based on the Google Earth Engine (GEE) platform, combined with the geographic information system (GIS) and remote sensing (RS) technology, we used the index WI2019 to extract and analyze the water body area changes of the Bosten Lake basin from 2000 to 2021 when the threshold value is -0.25 and the slope mask is 8°. The driving factors of water body area changes were also analyzed using the partial least squares-structural equation model (PLS-SEM). The result shows that in the last 20 years, the area of water bodies in the Bosten Lake basin generally fluctuated during the dry, wet, and permanent seasons, with a decreasing trend from 2000 to 2015 and an increasing trend between 2015 and 2019 followed by a steadily decreasing trend afterward. The main driver of the change in wet season water bodies in the Bosten Lake basin is the climatic factors, with anthropogenic factors having a greater influence on the water body area of dry season and permanent season than that of wet season. Our study achieved an accurate and convenient extraction of water body area and drivers, providing up-to-date information to fully understand the spatial and temporal variation of surface water body area and its drivers in the basin, which can be used to effectively manage water resources.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.