| Autor: |
Yongjie Li, Huiyong Yin, Fangying Dong, Wenju Cheng, Wei Zhou, Qingfu Feng, Daolei Xie, Jicheng Wang |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Ecological Indicators, Vol 155, Iss , Pp 111059- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1470-160X |
| DOI: |
10.1016/j.ecolind.2023.111059 |
| Popis: |
Accurate and effective assessment of groundwater potential in aquifers hundreds of meters deep remains a major challenge in mining and environmental protection. We analyzed the interaction mechanism of hydrogeological parameters, quantified it and incorporated it into the variable weight model (VWM) for secondary optimization, and constructed a dual dynamic variable weight model (PE-HVWM) that varies with multi-parameter entanglement and single-parameter state values to characterize the groundwater potential. Then, the pumping test data measured at the mining site were used to compare and analyze the results of different model predictions, and the optimized model was validated and tested using the Receiver Operating Curve (ROC) method and sensitivity analysis, which showed that the PE-HVWM method has a fairly high accuracy in groundwater potential prediction (AUC = 0.874). The PE-HVWM model can visualize the intrinsic correlation between hydrogeological parameters, and can respond sensitively to sudden changes in the state value of a hydrogeological parameter in the aquifer, and output groundwater potential results that are more in line with the actual situation after self-balancing by linking other parameters. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
Full Text from ScienceDirect