Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain

H Moayedi, M Salari, AA Dehrashid, BN Le - … Environmental Research and …, 2023 - Springer
In recent decades, qualitative and quantitative assessments of groundwater sources reveal
that efficient and accurate optimization approaches may assist in solving the multiple …

[HTML][HTML] Spatial Mapping and Prediction of Groundwater Quality Using Ensemble Learning Models and SHapley Additive exPlanations with Spatial Uncertainty …

S Yang, D Luo, J Tan, S Li, X Song, R Xiong, J Wang… - Water, 2024 - mdpi.com
The spatial mapping and prediction of groundwater quality (GWQ) is important for
sustainable groundwater management, but several research gaps remain unexplored …

Prediction of irrigation water suitability using geospatial computing approach: a case study of Agartala city, India

S Mallik, A Chakraborty, U Mishra, N Paul - Environmental Science and …, 2023 - Springer
An increase in population expansion, urban sprawling environment, and climate change has
resulted in increased food demand, water scarcity, environmental pollution, and …

Prediction of non-carcinogenic health risk using Hybrid Monte Carlo-machine learning approach

S Mallik, S Das, A Chakraborty, U Mishra… - … and Ecological Risk …, 2023 - Taylor & Francis
Groundwater contamination caused by elevated nitrate levels and its associated health
effects is a serious global concern. The US Environmental Protection Agency has developed …

Monitoring soil salinization and waterlogging in the northeastern Nile Delta linked to shallow saline groundwater and irrigation water quality

M Hagage, AM Abdulaziz, SF Elbeih, AGA Hewaidy - Scientific Reports, 2024 - nature.com
Soil salinization and waterlogging are critical environmental issues affecting agricultural
productivity and cultural heritage preservation, particularly in arid regions. This study …

Recent Trends in Application of Geospatial Technologies and AI for Monitoring and Management of Water Resources

S Talukdar, Shahfahad, S Pal, MW Naikoo… - … Management in Climate …, 2024 - Springer
In response to escalating global water crises, there has been a notable advancement in the
methods and approaches used for monitoring and management of water resources. From …

Water Resource Management in Climate Change Scenario: Innovations in Geospatial Techniques and Models

S Talukdar, S Pal, MW Naikoo, S Ahmed, A Rahman - 2024 - Springer
This book seeks to showcase the ongoing challenges of water resource and its
management through innovative and cutting-edge approaches (flooding and droughts and …

Linear Geostatistical Estimating Methods Compared Using Annual Average Daily Traffic Data from Low-Volume Roads in Minnesota

E Baffoe-Twum, E Asa - Transportation Research Record, 2024 - journals.sagepub.com
Geostatistical methods are utilized to analyze and predict values associated with spatial or
spatiotemporal phenomena. These techniques incorporate both the spatial and, in some …

Time Series Characteristics of Terrain Data

R Jin, L Meng - Geoscience and Remote Sensing, 2024 - clausiuspress.com
Traditional Chinese geography has a basic concept: people choose the terrain, and the
corresponding terrain is also related to people. For a long time, the analysis of mountainous …

Aquifer Characterization Based on Geophysical Methods and Application Analysis on Past Cases

J Jeong, B Kim, SY Song, IS Joung… - Journal of Soil and …, 2022 - koreascience.kr
For its essential importance as a resource, sustainable development of groundwater has
been major research interests for many decades. Conventional characterization of aquifer …