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,...
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MDPI AG
2025-04-01
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| Series: | Hydrology |
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| author | Yongtao Wang Wenfeng Yang Jian Liu Enhui Lu Ye Li Ning Chen |
| author_facet | Yongtao Wang Wenfeng Yang Jian Liu Enhui Lu Ye Li Ning Chen |
| author_sort | Yongtao Wang |
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| description | 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. |
| format | Article |
| id | doaj-art-d975b78a49754a77b34cf1f7f5d7ec32 |
| institution | DOAJ |
| issn | 2306-5338 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
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| series | Hydrology |
| spelling | doaj-art-d975b78a49754a77b34cf1f7f5d7ec322025-08-20T03:14:39ZengMDPI AGHydrology2306-53382025-04-011259910.3390/hydrology12050099Comparison and Prediction of the Ecological Footprint of Water Resources—Taking Guizhou Province as an ExampleYongtao Wang0Wenfeng Yang1Jian Liu2Enhui Lu3Ye Li4Ning Chen5State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Lushan South Road, Yuelu District, Changsha 410082, ChinaState Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Lushan South Road, Yuelu District, Changsha 410082, ChinaState Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Lushan South Road, Yuelu District, Changsha 410082, ChinaSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225009, ChinaState Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Lushan South Road, Yuelu District, Changsha 410082, ChinaState Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Lushan South Road, Yuelu District, Changsha 410082, ChinaWater 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.https://www.mdpi.com/2306-5338/12/5/99WEFWECCsustainable utilization of water resourcesLSTM prediction |
| spellingShingle | Yongtao Wang Wenfeng Yang Jian Liu Enhui Lu Ye Li Ning Chen Comparison and Prediction of the Ecological Footprint of Water Resources—Taking Guizhou Province as an Example Hydrology WEF WECC sustainable utilization of water resources LSTM prediction |
| title | Comparison and Prediction of the Ecological Footprint of Water Resources—Taking Guizhou Province as an Example |
| title_full | Comparison and Prediction of the Ecological Footprint of Water Resources—Taking Guizhou Province as an Example |
| title_fullStr | Comparison and Prediction of the Ecological Footprint of Water Resources—Taking Guizhou Province as an Example |
| title_full_unstemmed | Comparison and Prediction of the Ecological Footprint of Water Resources—Taking Guizhou Province as an Example |
| title_short | Comparison and Prediction of the Ecological Footprint of Water Resources—Taking Guizhou Province as an Example |
| title_sort | comparison and prediction of the ecological footprint of water resources taking guizhou province as an example |
| topic | WEF WECC sustainable utilization of water resources LSTM prediction |
| url | https://www.mdpi.com/2306-5338/12/5/99 |
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