Application of novel data-mining technique based nitrate concentration susceptibility prediction approach for coastal aquifers in India
In water resource management and pollution control research, prediction of nitrate
concentration in groundwater gets utmost priority in the last few years. Thus, our current …
concentration in groundwater gets utmost priority in the last few years. Thus, our current …
Rapid groundwater decline and some cases of recovery in aquifers globally
Groundwater resources are vital to ecosystems and livelihoods. Excessive groundwater
withdrawals can cause groundwater levels to decline,,,,,,,,–, resulting in seawater intrusion …
withdrawals can cause groundwater levels to decline,,,,,,,,–, resulting in seawater intrusion …
Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an …
Watershed management decisions need robust methods, which allow an accurate predictive
modeling of pollutant occurrences. Random Forest (RF) is a powerful machine learning data …
modeling of pollutant occurrences. Random Forest (RF) is a powerful machine learning data …
Groundwater quality for potable and irrigation uses and associated health risk in southern part of Gu'an County, North China Plain
Y Zhou, P Li, M Chen, Z Dong, C Lu - Environmental geochemistry and …, 2021 - Springer
The study area is a part of the North China Plain, where groundwater is heavily abstracted
for drinking and irrigation purposes. Groundwater quality is adversely affected due to rapid …
for drinking and irrigation purposes. Groundwater quality is adversely affected due to rapid …
Physicochemical and microbial assessment of spring water quality for drinking supply in Piedmont of Béni-Mellal Atlas (Morocco)
The present study was conducted to examine the water quality of karst springs located along
the Piedmont of Béni-Mellal Atlas (Morocco) for drinking purposes. Twenty-five water …
the Piedmont of Béni-Mellal Atlas (Morocco) for drinking purposes. Twenty-five water …
Denitrification in intrinsic and specific groundwater vulnerability assessment: A review
Several groundwater vulnerability methodologies have been implemented throughout the
years to face the increasing worldwide groundwater pollution, ranging from simple rating …
years to face the increasing worldwide groundwater pollution, ranging from simple rating …
An integrated DRASTIC model using frequency ratio and two new hybrid methods for groundwater vulnerability assessment
Groundwater management can be effectively implemented by map** groundwater
contamination. Intense agricultural activities and land overexploitation have resulted in …
contamination. Intense agricultural activities and land overexploitation have resulted in …
[HTML][HTML] Assessment of groundwater nitrate pollution using the Indicator Kriging approach
G Balacco, GD Fiorese, MR Alfio - Groundwater for Sustainable …, 2023 - Elsevier
This paper presents the results of investigations on groundwater nitrate pollution to assess
its spatial and temporal evolution through the indicator kriging method. With this approach …
its spatial and temporal evolution through the indicator kriging method. With this approach …
Severe nitrate pollution and health risks of coastal aquifer simultaneously influenced by saltwater intrusion and intensive anthropogenic activities
Groundwater quality is critical for regional sustainability and human well-beings in coastal
regions, because groundwater is an important water resource for these areas facing water …
regions, because groundwater is an important water resource for these areas facing water …
Machine learning applications for agricultural impacts under extreme events
CF Gaitán - Climate extremes and their implications for impact and …, 2020 - Elsevier
As our agricultural systems are expected to sustain a population of around 10 billion by
2050, and increase their production by nearly 50% globally, agricultural producers …
2050, and increase their production by nearly 50% globally, agricultural producers …