Fractional Uncertain Forecasting of the Impact of Groundwater Over-Exploitation on Temperature in the Largest Groundwater Depression Cone
China currently faces critical climatic conditions, with persistent global warming trends and extreme heat waves across the northern hemisphere. To explore the predictive trajectory of regional extreme high temperature influenced by groundwater over-exploitation, the SGMC(1,N) was established. Additionally, the SGMC(1,N) model was validated using 2019–2023 observational data from the world’s largest groundwater depression cone. The results demonstrate superior performance, with the model achieving a MAPE of 1.97% compared to benchmark models. Scenario simulations with annual groundwater reduction rates (−15%, −20%, −25%) successfully project extreme heat evolution for 2024–2028. When the decline rate of annual groundwater over-exploitation is set at −20%, a 6.66 °C temperature reduction from baseline by 2028 is projected. Stable decline trends emerge when GOE reduction exceeds 20%. To mitigate regional extreme heat, implementing phased groundwater extraction quotas and total extraction cap regulations is recommended.
Authors
- Lifeng Wu (ORCID: https://orcid.org/0000-0002-9548-9747)
- Liyuan Ren
- Xiaoqiao Ren
Institutions
- Hebei University of Engineering (CN)
Publication Details
- Journal
- Fractal and Fractional
- Published
- 2025-05-05
- DOI
- https://doi.org/10.3390/fractalfract9050299
- Primary Topic
- Grey System Theory Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Hebei Province
- Modern Agricultural Technology Industry System of Shandong province