[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review

H Tao, MM Hameed, HA Marhoon… - Neurocomputing, 2022 - Elsevier
Developing accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …

A review of the artificial intelligence methods in groundwater level modeling

T Rajaee, H Ebrahimi, V Nourani - Journal of hydrology, 2019 - Elsevier
This study is a review to the special issue on artificial intelligence (AI) methods for
groundwater level (GWL) modeling and forecasting, and presents a brief overview of the …

Past, present and perspective methodology for groundwater modeling-based machine learning approaches

AIA Osman, AN Ahmed, YF Huang, P Kumar… - … Methods in Engineering, 2022 - Springer
Growing population and rapid urbanization are among the major causes of ground water
level (GWL) depletion. Modeling GWL is considered as tough task as the GWL variation …

Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data

RM Adnan, HL Dai, RR Mostafa, ARMT Islam… - Geocarto …, 2023 - Taylor & Francis
The accurate assessment of groundwater levels is critical to water resource management.
With global warming and climate change, its significance has become increasingly evident …

Combining chemometrics and sensors: Toward new applications in monitoring and environmental analysis

J Chapman, VK Truong, A Elbourne… - Chemical …, 2020 - ACS Publications
For many years, an extensive array of chemometric methods have provided a platform upon
which a quantitative description of environmental conditions can be obtained. Applying …

Explore spatio-temporal PM2. 5 features in northern Taiwan using machine learning techniques

FJ Chang, LC Chang, CC Kang, YS Wang… - Science of the Total …, 2020 - Elsevier
The complex mixtures of local emission sources and regional transportations of air
pollutants make accurate PM2. 5 prediction a very challenging yet crucial task, especially …

Chemometric approach in environmental pollution analysis: A critical review

A Inobeme, V Nayak, TJ Mathew, S Okonkwo… - Journal of …, 2022 - Elsevier
With the ever-increasing global population and industrialization, it has become a call of the
hour to start taking care of the environment to balance the ecosystem. For this, effective …

Vegetation response to climate conditions based on NDVI simulations using stepwise cluster analysis for the Three-River Headwaters region of China

Y Zheng, J Han, Y Huang, SR Fassnacht, S Xie, E Lv… - Ecological …, 2018 - Elsevier
Located in the hinterland of the Qinghai-Tibet Plateau, the Three-River Headwaters region
(THR) features unique eco-environmental conditions and fragile ecosystems, which are very …

Spatial variation modelling of groundwater electrical conductivity using geostatistics and GIS

J Seyedmohammadi, L Esmaeelnejad… - Modeling earth systems …, 2016 - Springer
Optimized management of water resources, conservation and their quality increase is
needful with data existence in basis of situation, amount and distribution of water chemical …

A multivariate statistical input–output model for analyzing water-carbon nexus system from multiple perspectives-Jing-Jin-Ji region

PP Wang, YP Li, GH Huang, SG Wang - Applied Energy, 2022 - Elsevier
Water scarcity and carbon dioxide (CO 2) emission continue to be challenges faced by
decision makers in urban and regional scales. In this study, a multivariate statistical input …