AIMC Topic: Water Supply

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Spatiotemporal evolution of water quality in long-distance water supply projects: an improved PSO-SVR model.

Environmental monitoring and assessment
The spatiotemporal evolution of water quality is fundamental for the management of water resources in long-distance water transfer projects (LWTPs). Due to the multidimensional and nonlinear characteristics of water quality monitoring data, a novel m...

Surface water quality evaluation impacting drinking water sources and sanitation using water quality index, multivariate techniques, and interpretable machine learning models in Mahanadi River, Odisha (India).

Environmental geochemistry and health
Water quality and quantity affect crop productivity, with surface water quality having a significant impact. The amount of surface water being used for drinking is gradually rising. Thus, assessing surface water quality and related hydro-chemical cha...

Experimental characterization and machine learning modeling of leakage-induced soil fluidization in water distribution systems.

PloS one
Leakage in water distribution systems poses a global challenge, not only due to resource loss but also through soil erosion and sinkhole formation, which risk infrastructure collapse. This study investigates the mechanisms of soil fluidization, a pro...

Delineation of groundwater potential zones using data-driven approaches: towards achieving sustainable groundwater management in drought-prone region of Eastern India.

Environmental monitoring and assessment
To a large extent, the food security and ecological balance of a region, particularly in agriculturally dominated areas, largely depend on the sustainable use and management of groundwater resources. However, in recent times, both natural and human-d...

Machine learning-based prediction of drinking water quality index in Western Tehran using KAN, MLP, and traditional models.

Environmental monitoring and assessment
In this study, the water quality index (WQI) was calculated using multivariate statistics, incorporating physical, chemical, and microbiological analysis of water samples taken from water supply networks in the western district of Tehran from 2021 to...

Proof-of-concept evaluation at Cox's Bazar of the Safe Water Optimization Tool: water quality modelling for safe water supply in humanitarian emergencies.

BMJ global health
INTRODUCTION: Waterborne diseases are leading concerns in emergencies. Humanitarian guidelines stipulate universal water chlorination targets, but these fail to reliably protect water as postdistribution chlorine decay can leave water vulnerable to p...

Modeling water quality in the brazilian semiarid region using remote sensing: support for water management.

Environmental monitoring and assessment
Water management in semi-arid regions faces challenges due to water scarcity and the need for continuous quality monitoring. This study evaluates the use of remote sensing to analyze a reservoir's water quality status in Brazil's semi-arid region to ...

Data-driven prediction of daily Cryptosporidium river concentrations for water resource management: Use of catchment-averaged vs spatially distributed features in a Bagging-XGBoost model.

The Science of the total environment
Cryptosporidium is a waterborne pathogen which poses a major challenge to water utilities because of its resistance to chlorination and its infectivity at very low concentrations. The ability to make predictions of Cryptosporidium concentrations in r...

Making waves: Is water quality trading a false promise for balancing ecology and economy?

Water research
Agriculture is a major contributor to water pollution through nutrient runoff and excessive water use, exacerbating global water scarcity and ecosystem degradation. Water Quality Trading (WQT) has emerged as a market-based mechanism to address this i...

Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data.

Scientific reports
Over 2 billion people worldwide are impacted by the global dilemma of access to clean and safe drinking water. The problem is most acute in low-income nations, where many people still use unimproved water sources such as exposed wells and surface wat...