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Critical role of climate factors for groundwater potential map** in arid regions: Insights from random forest, XGBoost, and LightGBM algorithms
Designing dynamic groundwater management strategies through a composite groundwater vulnerability model: Integrating human-related parameters into the …
Groundwater nitrate contamination has emerged as a pressing global concern. Given its
potential for long-term impacts on aquifers, protective measures should primarily focus on …
potential for long-term impacts on aquifers, protective measures should primarily focus on …
Sustainable groundwater management in coastal cities: Insights from groundwater potential and vulnerability using ensemble learning and knowledge-driven models
P Huang, M Hou, T Sun, H Xu, C Ma, A Zhou - Journal of Cleaner …, 2024 - Elsevier
The rapid economic growth of the Pearl River Delta, one of China's most economically
developed areas, has led to a sharp increase in the demand for water resources …
developed areas, has led to a sharp increase in the demand for water resources …
Microplastic transport and ecological risk in coastal intruded aquifers based on a coupled seawater intrusion and microplastic risk assessment model
G Chen, Y Zou, G **ong, Y Wang, W Zhao, X Xu… - Journal of Hazardous …, 2024 - Elsevier
Seawater-groundwater interactions can enhance the migration process of microplastics to
coastal aquifers, posing increased associated environmental risks. Here, we aim to analyze …
coastal aquifers, posing increased associated environmental risks. Here, we aim to analyze …
A multi-modal machine learning approach to detect extreme rainfall events in Sicily
In 2021 almost 300 mm of rain, nearly half of the average annual rainfall, fell near Catania
(Sicily Island, Italy). Such events took place in just a few hours, with dramatic consequences …
(Sicily Island, Italy). Such events took place in just a few hours, with dramatic consequences …
Groundwater vulnerability assessment using AHP-DRASTIC-GALDIT comprehensive model: a case study of Binhai New Area, Tian**, China
D Luo, C Ma, Y Qiu, Z Zhang, L Wang - Environmental Monitoring and …, 2023 - Springer
Abstract Binhai New Area (BHNA), as one of the most economically and industrially regions
in the Haihe River Basin, China, is seriously affected by seawater intrusion and groundwater …
in the Haihe River Basin, China, is seriously affected by seawater intrusion and groundwater …
Unveiling China's household CO2 emissions with disaggregated energy sectors: An affinity-propagation multi-regional input-output model
PP Wang, GH Huang, YP Li, B Luo, YF Li - Renewable Energy, 2025 - Elsevier
Although much research has focused on CO 2 emissions driven by household consumption,
significant challenges remain in capturing complex regional variations and the indirect …
significant challenges remain in capturing complex regional variations and the indirect …
An integrated approach combining LISA, BI-LISA, and the modified COPK method to improve groundwater management in large-scale karst areas
Groundwater protection and sustainable utilization of wells in large-scale karst areas face
many challenges due to the complexity of numerous groundwater basins and aquifers …
many challenges due to the complexity of numerous groundwater basins and aquifers …
Clustering with minimum spanning trees: How good can it be?
Minimum spanning trees (MSTs) provide a convenient representation of datasets in
numerous pattern recognition activities. Moreover, they are relatively fast to compute. In this …
numerous pattern recognition activities. Moreover, they are relatively fast to compute. In this …
Combining prediction models and dimensionality reduction technology for water resources management under incomplete information and dynamic change
X Yang, Z Chen - Water Resources Management, 2024 - Springer
The reasonable selection of water resource management alternatives is crucial for decision-
makers to develop effective management measures ensuring the sustainable use of water …
makers to develop effective management measures ensuring the sustainable use of water …