Conjunct application of machine learning and game theory in groundwater quality mapping
Groundwater quality (GWQ) monitoring is one of the best environmental objectives due to
recent droughts and urban and rural development. Therefore, this study aimed to map GWQ …
recent droughts and urban and rural development. Therefore, this study aimed to map GWQ …
Application of artificial intelligence for forecasting surface quality index of irrigation systems in the Red River Delta, Vietnam
DP Nguyen, HD Ha, NT Trinh, MT Nguyen - Environmental Systems …, 2023 - Springer
Water sources for irrigation systems in the Red River Delta are crucial to the socioeconomic
growth of the region's communities. Human activities (discharge) have polluted the water …
growth of the region's communities. Human activities (discharge) have polluted the water …
A simplified equation for calculating the water quality index (WQI), kalu river, Sri Lanka
KD Siriwardhana, DI Jayaneththi, RD Herath… - Sustainability, 2023 - mdpi.com
The water supply system plays a major role in the community. The water source is carefully
selected based on quality, quantity, and reliability. The quality of water at its sources is …
selected based on quality, quantity, and reliability. The quality of water at its sources is …
Agricultural land suitability classification and crop suggestion using machine learning and spatial multicriteria decision analysis in semi-arid ecosystem
Agricultural land evaluation for crop cultivation plays a vital role in developing a sustainable
and productive agricultural system. The traditional way of manual land evaluation is time …
and productive agricultural system. The traditional way of manual land evaluation is time …
Advancing Deltaic Aquifer Vulnerability Mapping to Seawater Intrusion and Human Impacts in Eastern Nile Delta: Insights from Machine Learning and Hydrochemical …
NA Arafa, Z El-Said Salem, AL Abdeldayem… - Earth Systems and …, 2024 - Springer
Groundwater salinization is a critical issue in deltaic aquifers, particularly in semi-arid
regions, due to seawater intrusion (SWI) and human activities. Effective Groundwater …
regions, due to seawater intrusion (SWI) and human activities. Effective Groundwater …
Groundwater quality assessment using machine learning models: a comprehensive study on the industrial corridor of a semi-arid region
L Krishnamoorthy, VR Lakshmanan - Environmental Science and …, 2024 - Springer
Water plays a significant role in sustaining the lives of humans and other living organisms.
Groundwater quality analysis has become inevitable, because of increased contamination of …
Groundwater quality analysis has become inevitable, because of increased contamination of …
Using machine learning for the assessment of ecological status of unmonitored waters in Poland
A Martyszunis, M Loga, K Przeździecki - Scientific Reports, 2024 - nature.com
Abstract Advancements in Artificial Intelligence (AI) technology allow for development of new
tools for analytics and management which present new opportunities in field of …
tools for analytics and management which present new opportunities in field of …
Application of geospatial and machine learning algorithms to predict (under certain limitations) the quality of groundwater used for irrigation purposes
The main objective of the present study is to evaluate groundwater quality for irrigation
purposes in the central-western part of Haryana state (India). For this, 272 groundwater …
purposes in the central-western part of Haryana state (India). For this, 272 groundwater …
Machine learning framework for predicting water quality classification
V Sangwan, R Bhardwaj - Water Practice & Technology, 2024 - iwaponline.com
Groundwater serves as the source for nearly half of the world's drinking water, yet
understanding of global groundwater resources remains incomplete, and management of …
understanding of global groundwater resources remains incomplete, and management of …