# Groundwater and Watershed Analysis

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/groundwater-and-watershed-analysis/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the mapping and assessment of groundwater potential zones using a variety of techniques including remote sensing, GIS, machine learning models, morphometric analysis, and hydrological analysis. The studies also explore methods for artificial recharge, multi-criteria decision analysis, and watershed prioritization to support sustainable groundwater management. |
| Domain | Physical Sciences |
| Field | Environmental Science |
| OpenAlex ID | t12543 |
| Works | 17 |

## Topic papers all

Showing 15 of 17.

- [Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)](https://scholariq.org/papers/performance-of-machine-learning-methods-in-predicting-water-quality-index-based/)
- [Assessment of heavy-metal pollution in three different Indian water bodies by combination of multivariate analysis and water pollution indices](https://scholariq.org/papers/assessment-of-heavy-metal-pollution-in-three-different-indian-water-bodies-by/)
- [Representative lake water extent mapping at continental scales using multi-temporal Landsat-8 imagery](https://scholariq.org/papers/representative-lake-water-extent-mapping-at-continental-scales-using-multi/)
- [GeoDAR: georeferenced global dams and reservoirs dataset for bridging attributes and geolocations](https://scholariq.org/papers/geodar-georeferenced-global-dams-and-reservoirs-dataset-for-bridging-attributes/)
- [Groundwater level prediction using machine learning algorithms in a drought-prone area](https://scholariq.org/papers/groundwater-level-prediction-using-machine-learning-algorithms-in-a-drought/)
- [A comprehensive geospatial database of nearly 100 000 reservoirs in China](https://scholariq.org/papers/a-comprehensive-geospatial-database-of-nearly-100-000-reservoirs-in-china/)
- [Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF  techniques](https://scholariq.org/papers/delineation-of-groundwater-potential-zones-for-sustainable-development-and/)
- [Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model](https://scholariq.org/papers/regional-groundwater-productivity-potential-mapping-using-a-geographic/)
- [Groundwater Potential Mapping Using an Integrated Ensemble of Three Bivariate Statistical Models with Random Forest and Logistic Model Tree Models](https://scholariq.org/papers/groundwater-potential-mapping-using-an-integrated-ensemble-of-three-bivariate/)
- [An Efficient Detection and Classification of Acute Leukemia Using Transfer Learning and Orthogonal Softmax Layer-Based Model](https://scholariq.org/papers/an-efficient-detection-and-classification-of-acute-leukemia-using-transfer/)
- [White Blood Cells Classification with Deep Convolutional Neural Networks](https://scholariq.org/papers/white-blood-cells-classification-with-deep-convolutional-neural-networks/)
- [Monitoring groundwater potential dynamics of north-eastern Bengal Basin in Bangladesh using AHP-Machine learning approaches](https://scholariq.org/papers/monitoring-groundwater-potential-dynamics-of-north-eastern-bengal-basin-in/)
- [Spatial-Temporal Water Balance Components Estimation Using Integrated GIS-Based Wetspass-M Model in Moulouya Basin, Morocco](https://scholariq.org/papers/spatial-temporal-water-balance-components-estimation-using-integrated-gis-based/)
- [Interpretable multi-step hybrid deep learning model for karst spring discharge prediction: Integrating temporal fusion transformers with ensemble empirical mode decomposition](https://scholariq.org/papers/interpretable-multi-step-hybrid-deep-learning-model-for-karst-spring-discharge/)
- [Subsurface evaluation for aquaculture ponds in the Amazon Region](https://scholariq.org/papers/subsurface-evaluation-for-aquaculture-ponds-in-the-amazon-region/)

## Topic primary papers

- [Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF  techniques](https://scholariq.org/papers/delineation-of-groundwater-potential-zones-for-sustainable-development-and/)
- [Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model](https://scholariq.org/papers/regional-groundwater-productivity-potential-mapping-using-a-geographic/)
- [Groundwater Potential Mapping Using an Integrated Ensemble of Three Bivariate Statistical Models with Random Forest and Logistic Model Tree Models](https://scholariq.org/papers/groundwater-potential-mapping-using-an-integrated-ensemble-of-three-bivariate/)
- [Monitoring groundwater potential dynamics of north-eastern Bengal Basin in Bangladesh using AHP-Machine learning approaches](https://scholariq.org/papers/monitoring-groundwater-potential-dynamics-of-north-eastern-bengal-basin-in/)
- [Integrated water resources management approach for groundwater in Langat River Basin (Table of content)](https://scholariq.org/papers/integrated-water-resources-management-approach-for-groundwater-in-langat-river/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.