Assessment of Excavation-Induced Soil and Ecological Degradation in Pumped-Storage Hydropower Construction Areas Using Field Measurements and Time-Series Remote Sensing

Large-scale excavation for pumped-storage hydropower stations (PSPSs) in mountainous areas substantially alters slope soils and accelerates ecological degradation, yet quantitative multi-indicator assessments for such projects remain limited. This study integrates field surveys, laboratory analyses, and multi-temporal remote-sensing data to evaluate the disturbance-induced evolution of soil properties at two representative PSPSs in China. Soil bulk density and porosity measurements revealed significant compaction on disturbed slope surfaces, particularly on soil-dominated slopes. Key nutrient indicators, including organic matter, alkali-hydrolysable nitrogen, available phosphorus, and available potassium, showed consistent declines relative to adjacent undisturbed habitats. A comprehensive ecological degradation indicator (EDI) was constructed using five vegetation and soil spectral indices (RVI, NDVI, SAVI, SBI, and SM) weighted through the analytic hierarchy process. Time-series EDI mapping (2019–2023) demonstrated a progressive increase in moderately to extremely degraded areas during intensive construction stages. The results highlight the strong spatial heterogeneity of disturbance effects and underscore the necessity of soil-focused restoration strategies. This integrated assessment framework provides a scientific basis for guiding near-natural restoration and long-term soil–vegetation management in PSPS infrastructure landscapes.

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Publication Details

Journal
Applied Sciences
Published
2026-05-22
DOI
https://doi.org/10.3390/app16115173
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessment of Excavation-Induced Soil and Ecological Degradation in Pumped-Storage Hydropower Construction Areas Using Field Measurements and Time-Series Remote Sensing

Yanbing Wang, Hong Qian, Shu Yu, Yi-Jie Wang et al.
Applied Sciences
Soil erosion and sediment transport
article

Assessment of Excavation-Induced Soil and Ecological Degradation in Pumped-Storage Hydropower Construction Areas Using Field Measurements and Time-Series Remote Sensing

Yanbing Wang, Hong Qian, Shu Yu, Yi-Jie Wang, Xiaofeng Chen, Penglin Li
article en

Abstract

Large-scale excavation for pumped-storage hydropower stations (PSPSs) in mountainous areas substantially alters slope soils and accelerates ecological degradation, yet quantitative multi-indicator assessments for such projects remain limited. This study integrates field surveys, laboratory analyses, and multi-temporal remote-sensing data to evaluate the disturbance-induced evolution of soil properties at two representative PSPSs in China. Soil bulk density and porosity measurements revealed significant compaction on disturbed slope surfaces, particularly on soil-dominated slopes. Key nutrient indicators, including organic matter, alkali-hydrolysable nitrogen, available phosphorus, and available potassium, showed consistent declines relative to adjacent undisturbed habitats. A comprehensive ecological degradation indicator (EDI) was constructed using five vegetation and soil spectral indices (RVI, NDVI, SAVI, SBI, and SM) weighted through the analytic hierarchy process. Time-series EDI mapping (2019–2023) demonstrated a progressive increase in moderately to extremely degraded areas during intensive construction stages. The results highlight the strong spatial heterogeneity of disturbance effects and underscore the necessity of soil-focused restoration strategies. This integrated assessment framework provides a scientific basis for guiding near-natural restoration and long-term soil–vegetation management in PSPS infrastructure landscapes.

Applied SciencesVol. 16(11)
China Institute of Water Resources and Hydropower Research (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Soil erosion and sediment transport
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