Groundwater potential zones for sustainable management plans in a river basin of India and Bangladesh
Groundwater crisis across the world is a thought-provoking issue and for resolving the
problem, it is highly necessary to identify the potential groundwater zones and estimate …
problem, it is highly necessary to identify the potential groundwater zones and estimate …
[HTML][HTML] Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh
This work developed models to identify optimal spatial distribution of emergency evacuation
centers (EECs) such as schools, colleges, hospitals, and fire stations to improve flood …
centers (EECs) such as schools, colleges, hospitals, and fire stations to improve flood …
Combining high resolution input and stacking ensemble machine learning algorithms for developing robust groundwater potentiality models in Bisha watershed …
J Mallick, S Talukdar, M Ahmed - Applied Water Science, 2022 - Springer
The present research aims to build a unique ensemble model based on a high-resolution
groundwater potentiality model (GPM) by merging the random forest (RF) meta classifier …
groundwater potentiality model (GPM) by merging the random forest (RF) meta classifier …
A comprehensive review on mapping of groundwater potential zones: past, present and future recommendations
The over exploitation of groundwater resources is a highly thought-provoking issue, which
hinders the goal of sustainable water management worldwide. Hence, it is utmost necessary …
hinders the goal of sustainable water management worldwide. Hence, it is utmost necessary …
A new approach for smart soil erosion modeling: integration of empirical and machine-learning models
Despite advances in artificial intelligence modeling, the lack of soil-erosion data and other
watershed information still limits soil-erosion modeling. The limited number of parameters …
watershed information still limits soil-erosion modeling. The limited number of parameters …
Developing groundwater potentiality models by coupling ensemble machine learning algorithms and statistical techniques for sustainable groundwater management
The present study intends to construct a logistic regression based hybrid EML model by
considering nine standalone and ensemble machine learning (EML) algorithms as …
considering nine standalone and ensemble machine learning (EML) algorithms as …
[HTML][HTML] A novel hybrid model for developing groundwater potentiality model using high resolution digital elevation model (DEM) derived factors
The present work aims to build a unique hybrid model by combining six fuzzy operator
feature selection-based techniques with logistic regression (LR) for producing groundwater …
feature selection-based techniques with logistic regression (LR) for producing groundwater …
Delineation of groundwater potential zones of upper Godavari sub-basin of India using bi-variate, MCDM and advanced machine learning algorithms
Sustainable management of groundwater resource is a most critical due to its over
exploitation and ascending stress by industrial and socio-economic factors. It is utmost …
exploitation and ascending stress by industrial and socio-economic factors. It is utmost …
Human-induced arsenic pollution modeling in surface waters-An integrated approach using machine learning algorithms and environmental factors
In recent years, assessment of sediment contamination by heavy metals, ie, arsenic, has
attracted the interest of scientists worldwide. The present study provides a new methodology …
attracted the interest of scientists worldwide. The present study provides a new methodology …
Mapping land degradation risk due to land susceptibility to dust emission and water erosion
Land degradation is a cause of many social, economic, and environmental problems.
Therefore identification and monitoring of high-risk areas for land degradation are …
Therefore identification and monitoring of high-risk areas for land degradation are …