Designing dynamic groundwater management strategies through a composite groundwater vulnerability model: Integrating human-related parameters into the …

X Guo, H **ong, H Li, X Gui, X Hu, Y Li, H Cui… - Environmental …, 2023 - Elsevier
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 …

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 …

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 …

A multi-modal machine learning approach to detect extreme rainfall events in Sicily

E Vitanza, GM Dimitri, C Mocenni - Scientific Reports, 2023 - nature.com
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 …

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 …

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 …

An integrated approach combining LISA, BI-LISA, and the modified COPK method to improve groundwater management in large-scale karst areas

Y Li, M Li, X Song, X Hu, X Guo, Y Qiu, H **ong… - Journal of …, 2023 - Elsevier
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 …

Clustering with minimum spanning trees: How good can it be?

M Gagolewski, A Cena, M Bartoszuk… - Journal of Classification, 2024 - Springer
Minimum spanning trees (MSTs) provide a convenient representation of datasets in
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 …