Determination of Suitable Ecological Intervals for Arid Terminal Lakes via Multi-Source Remote Sensing: A “Morphometry–Security–Efficiency” Framework Applied to Ebinur Lake

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Authors: Jing Liu, Aihua LONG, Mingjiang Deng, Qiang An, Ji Zhang, Qing Luo, Rui Sun
Cited by: 1
References: 51

Abstract

Terminal lakes in arid regions face severe degradation due to the dual pressures of climate change and anthropogenic water consumption. Traditional single-threshold methods for defining ecological water requirements often fail to balance ecosystem stability with water scarcity. To address this, this study constructs a comprehensive framework coupling “Morphometric Stability–Ecological Security Reliability–Resource Use Efficiency” to delineate the suitable ecological interval for Ebinur Lake, the largest saltwater lake in Xinjiang. Using multi-source remote sensing data (Landsat, Sentinel, ICESat, CryoSat), we reconstruct the long-term hydrological dynamics from 2001 to 2023. Results indicate a significant shrinking trend in the lake area, driven primarily by reduced inflow. We jointly consider the lake morphometric breakpoint, the ecological security baseline, and the lower bound of ecosystem service water use efficiency (ESWUE) to determine a minimum suitable ecological area of 500 km2; the regulation upper limit is set at 740 km2 based on the marginal peak of ESWUE. However, monitoring data reveal that the lake falls below the minimum 500 km2 baseline in approximately 40% of months, highlighting a severe ecological deficit risk. Furthermore, ESWUE analysis shows a peak in April (10 CNY/m3), suggesting that, under current climate conditions, a “Spring Surplus and Autumn Deficit” regulation strategy—advancing the replenishment window to the spring windy season—can maximize dust suppression benefits at a lower evaporative cost. This study provides a theoretical basis and methodological paradigm that will contribute to the sustainable management of shrinking terminal lakes globally.

Fields of Study & Subjects

Flood Risk Assessment and Management Remote Sensing in Agriculture Hydrology and Watershed Management Studies

Publication details

Journal / source
Remote Sensing
Publisher
MDPI AG
Volume
18
Issue
5
Pages
771–771
Publication date
3 March 2026
Language
EN