Analysing the Impacts of Natural-Factor Variability on Lake Water Volume Using the Generalized Method of Moment

Abstract. Natural-factor variability strongly influences the hydrological stability of large tropical lakes. As a major freshwater resource in East Africa, Lake Victoria has experienced notable water-volume fluctuations under changing climatic conditions. This study investigated the effects of precipitation, evapotranspiration (ET), El Niño–Southern Oscillation (ENSO), and normalized difference vegetation index (NDVI) on lake water volume using multi-source datasets and the generalized method of moments (GMM). The results show that precipitation is the dominant positive driver of water-volume variation, whereas ET has a negative effect through increased surface-water loss. Quantitatively, the GMM estimates indicate that precipitation has a positive coefficient of 1.291, while ET shows a negative coefficient of −0.137. In addition, NDVI exhibits clear seasonality and reaches a monthly maximum of 0.7293 in December 2015, reflecting the close linkage between hydrological fluctuations and vegetation conditions in the basin. Overall, this study clarifies the main hydroclimatic controls on Lake Victoria water-volume variability and provides empirical support for regional water-resource assessment and climate-adaptation planning.

Authors

Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2026-07-30
DOI
https://doi.org/10.5194/isprs-archives-xlix-b3-2026-729-2026
Primary Topic
Aquatic Ecosystems and Biodiversity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysing the Impacts of Natural-Factor Variability on Lake Water Volume Using the Generalized Method of Moment

Yuxuan Yang, Tinghui Zhang, Jie Yu, Yi Lin
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Aquatic Ecosystems and Biodiversity
article

Analysing the Impacts of Natural-Factor Variability on Lake Water Volume Using the Generalized Method of Moment

Yuxuan Yang, Tinghui Zhang, Jie Yu, Yi Lin
article en

Abstract

Abstract. Natural-factor variability strongly influences the hydrological stability of large tropical lakes. As a major freshwater resource in East Africa, Lake Victoria has experienced notable water-volume fluctuations under changing climatic conditions. This study investigated the effects of precipitation, evapotranspiration (ET), El Niño–Southern Oscillation (ENSO), and normalized difference vegetation index (NDVI) on lake water volume using multi-source datasets and the generalized method of moments (GMM). The results show that precipitation is the dominant positive driver of water-volume variation, whereas ET has a negative effect through increased surface-water loss. Quantitatively, the GMM estimates indicate that precipitation has a positive coefficient of 1.291, while ET shows a negative coefficient of −0.137. In addition, NDVI exhibits clear seasonality and reaches a monthly maximum of 0.7293 in December 2015, reflecting the close linkage between hydrological fluctuations and vegetation conditions in the basin. Overall, this study clarifies the main hydroclimatic controls on Lake Victoria water-volume variability and provides empirical support for regional water-resource assessment and climate-adaptation planning.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLIX-B3-2026
Climate action
Openalex Percentile: Top 9%
Aquatic Ecosystems and Biodiversity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.