Comparison and Prediction of the Ecological Footprint of Water Resources—Taking Guizhou Province as an Example

Water resources are considered to be of paramount importance to the natural world on a global scale, being critical for the sustenance of ecosystems, the support of life, and the achievement of sustainable development. However, these resources are under threat from climate change, population growth, urbanization and pollution. This necessitates the development of robust and effective assessment methods to ensure their sustainable use. Although assessing the ecological footprint (EF) of urban water systems plays a critical role in advancing sustainable cities and managing water assets, existing research has largely overlooked the application of geospatial visualization techniques in evaluating resource allocation strategies within karst mountain watersheds, an oversight this study aims to correct through innovative methodological integration. This research establishes an evaluation framework for predicting water resource availability in Guizhou through the synergistic application of three methodologies: (1) the water-based ecological accounting framework (WEF), (2) ecosystem service thresholds defined by the water ecological carrying capacity of water resources (WECC) thresholds, and (3) composite sustainability metrics, all correlated with contemporary hydrological utilization profiles. Spatiotemporal patterns were quantified across the province’s nine administrative divisions during the 2013–2022 period through time-series analysis, with subsequent WEF projections for 2023–2027 generated via Long Short-Term Memory (LSTM) temporal forecasting techniques.

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Publication Details

Journal
Hydrology
Published
2025-04-22
DOI
https://doi.org/10.3390/hydrology12050099
Citations
2
Primary Topic
Water Resources and Sustainability
Type
article
Field-Weighted Citation Impact
1.63
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article

Comparison and Prediction of the Ecological Footprint of Water Resources—Taking Guizhou Province as an Example

Enhui Lu, Ye Li, Ning Chen, Yongtao Wang et al.
2 citations
Hydrology
Water Resources and Sustainability
1.63
article

Comparison and Prediction of the Ecological Footprint of Water Resources—Taking Guizhou Province as an Example

Enhui Lu, Ye Li, Ning Chen, Yongtao Wang, Jian Liu, Wenfeng Yang
article en
2 citations

Abstract

Water resources are considered to be of paramount importance to the natural world on a global scale, being critical for the sustenance of ecosystems, the support of life, and the achievement of sustainable development. However, these resources are under threat from climate change, population growth, urbanization and pollution. This necessitates the development of robust and effective assessment methods to ensure their sustainable use. Although assessing the ecological footprint (EF) of urban water systems plays a critical role in advancing sustainable cities and managing water assets, existing research has largely overlooked the application of geospatial visualization techniques in evaluating resource allocation strategies within karst mountain watersheds, an oversight this study aims to correct through innovative methodological integration. This research establishes an evaluation framework for predicting water resource availability in Guizhou through the synergistic application of three methodologies: (1) the water-based ecological accounting framework (WEF), (2) ecosystem service thresholds defined by the water ecological carrying capacity of water resources (WECC) thresholds, and (3) composite sustainability metrics, all correlated with contemporary hydrological utilization profiles. Spatiotemporal patterns were quantified across the province’s nine administrative divisions during the 2013–2022 period through time-series analysis, with subsequent WEF projections for 2023–2027 generated via Long Short-Term Memory (LSTM) temporal forecasting techniques.

HydrologyVol. 12(5)
Hunan University (CN), Guizhou Electric Power Design and Research Institute (CN), Yangzhou University (CN)
Openalex Percentile: Top 17%
Water Resources and Sustainability
1.63
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