The Impact of Climate Change on the State of Moraine Lakes in Northern Tian Shan: Case Study on Four Moraine Lakes
Sydyk N. Iskaliyeva G. Sagat M. Merekeyev A. Balakay L. Kaldybayev A. Baygurin Z. Abishev B.
September 2025Multidisciplinary Digital Publishing Institute (MDPI)
Water (Switzerland)
2025#17Issue 17
Glacial-lake outburst floods (GLOFs) threaten more than three million residents of south-east Kazakhstan, yet quantitative data on lake growth and storage are scarce. We inventoried 154 lakes on the northern flank of the Ile-Alatau and selected four moraine-dammed basins with the greatest historical flood activity for detailed study. Annual lake outlines (2016–2023) were extracted from 3 m PlanetScope imagery with a Normalised Difference Water Index workflow, while late-ablation echo-sounder surveys (2023–2024) yielded sub-metre bathymetric grids. A regionally calibrated area–volume power law translated each shoreline to water storage, and field volumes served as an independent accuracy check. The lakes display divergent trajectories. Rapid thermokarst development led to a 37% increase in the surface area of Lake 13bis, expanding from 0.039 km2 to 0.054 km2 over a 5-year period. In contrast, engineering-induced drawdown resulted in a 44% reduction in the area of Lake 6, from 0.019 km2 to 0.011 km2. Lakes 5 and 2, which are supplied by actively retreating glaciers, exhibited surface area increases of 4.8% and 15%, expanding from 0.077 km2 to 0.088 km2 and from 0.061 km2 to 0.070 km2, respectively. The empirical model reproduces field volumes to within ±25% for four lakes, confirming its utility for rapid hazard screening, but overestimates storage in low-relief basins and underestimates artificially drained lakes. This is the first study in Ile-Alatau to fuse daily 3 m multispectral imagery with ground-truth bathymetry, delivering an 8-year, volume-resolved record of lake evolution. The results identify Lake 5 and Lake 2 as priority targets for early-warning systems and demonstrate that sustained intervention can effectively suppress GLOF risk. Incorporating these storage trajectories into regional disaster plans will sharpen evacuation mapping, optimise resource allocation, and inform transboundary water-hazard policy under accelerating climate change.
bathymetry , climate change , empirical volume estimation , GLOFs , monitoring , remote sensing
Text of the article Перейти на текст статьи
Institute of Ionosphere, Almaty, 050000, Kazakhstan
Department of Surveying and Geodesy, Satbayev University, Almaty, 050000, Kazakhstan
State Institution ”Kazselezashchita”, Ministry for Emergency Situations of the Republic of Kazakhstan, Almaty, 050000, Kazakhstan
Institute of Ionosphere
Department of Surveying and Geodesy
State Institution ”Kazselezashchita”
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026