Open research questions in Groundwater and Watershed Analysis
120 unresolved questions extracted from the limitations and future-work sections of 599 Groundwater and Watershed Analysis papers in our library. Each links back to the study that raised it.
What the literature leaves open
Further research on the causal link between groundwater abstraction and land subsidence, - Investigation of other factors contributing to land subsidence, - Application of the methodology to other regions
Estimating groundwater abstraction for irrigation in a data-scarce semi-arid region using optical and InSAR time-series analysis: the Tensift catchment, Morocco · 2026 · DOIThe study identifies the challenge of ensuring technical viability and sustainability of Small Water Impounding Projects. It highlights the importance of proper site selection and the need for localized criteria. The study also mentions the challenge of managing safety and avoiding extreme runoff risks.
Analytic hierarchy process-based criteria for assessing the site suitability of small water impounding projects in Bukidnon, Philippines · 2026 · DOIThe study implies that there is a need for localized criteria for assessing site suitability of SWIPs in Bukidnon, Philippines. It suggests that national engineering standards alone are not sufficient for site selection. It highlights the importance of integrating local experts’ opinions in the decision-making process.
Analytic hierarchy process-based criteria for assessing the site suitability of small water impounding projects in Bukidnon, Philippines · 2026 · DOILack of pumping measurement data, - Limited field measurements, - Arbitrariness of threshold choice for high-pumping and high-subsidence zones
Estimating groundwater abstraction for irrigation in a data-scarce semi-arid region using optical and InSAR time-series analysis: the Tensift catchment, Morocco · 2026 · DOISustainable groundwater management in regions with limited data remains a significant challenge.
Improved prediction of groundwater potential zones using a stacking machine learning model · 2026 · DOIThe need for a reliable framework for watershed prioritization. The importance of sustainable land and water resource management in semi-arid regions.
Sub-Watershed Prioritization Using Compound Factor and GIS Analysis in A Semi-Arid Agricultural Watershed of Madhya Pradesh · 2026 · DOIThe ranking scheme assigns equal weight to all 13 morphometric parameters, but the paper does not justify or investigate whether differential weighting based on local watershed characteristics would improve prioritization accuracy.
Sub-Watershed Prioritization Using Compound Factor and GIS Analysis in A Semi-Arid Agricultural Watershed of Madhya Pradesh · 2026 · DOIThe lack of data in arid regions makes it challenging to estimate groundwater recharge. The existing approaches do not integrate mass conservation constraints and Bayesian uncertainty quantification within a unified framework.
Physics-informed Bayesian Neural Network for groundwater recharge estimation in data-scarce arid regions · 2026 · DOITraditional empirical and statistical approaches often struggle to capture complex relationships among hydrogeological variables. There is a need for alternative methods that can improve the accuracy and efficiency of groundwater potential mapping. Machine learning techniques have the potential to address this gap, but their application requires careful consideration of methodological aspects and challenges.
Groundwater Potential Mapping Using Machine Learning Techniques: Current Trends and Future Perspectives · 2026 · DOIThe complexity of understanding the hydrologic system. The need for a locally consistent, mapped dataset identifying hydrologic soil groups. The amplification of water-related risks due to ongoing global environmental changes.
Deep learning-based aided spatial mapping of local scale hydrologic soil groups in the Upper Oum Er-Rbia Basin, Morocco · 2026 · DOIExisting HSG systems are not available at local spatial resolution. There is a need for a locally consistent, mapped dataset identifying hydrologic soil groups.
Deep learning-based aided spatial mapping of local scale hydrologic soil groups in the Upper Oum Er-Rbia Basin, Morocco · 2026 · DOIThere is a need for reliable spatial information for watershed planning and sustainable resource management. The study aims to fill this gap by mapping and analyzing the LULC pattern of the Kehal watershed using geospatial techniques.
The lack of soil conservation practices and water storage structures in Al-Ghamqa River Basin. The need for sustainable watershed management strategies.
There is a need for effective groundwater potential mapping methods. The study identifies a gap in the development of sustainable water management strategies.
Application of multi-criteria decision making for groundwater potential mapping in Manabí, Ecuador · 2026 · DOIFuture work should explore applying this framework to additional coastal environments in order to develop a more com- prehensive understanding of water and land changes across different regions. Study limitations Based on established remote sensing research and standard validation protocols, several inherent constraints apply to this research: • While this research is limited by the in-situ data una- vailability for the 2016–2022 period, the accuracy of the spectral salinity trends was validated by their strong correlation with official hydrological records.
Rapid urbanization and high population growth in the study area, putting pressure on groundwater resources. Limited understanding of the hydrogeologic system and groundwater behavior in the study area. The need for accurate and comprehensive data for model development and simulation.
Quantifying Groundwater Availability and Hydrological Status Using Visual MODFLOW in Siliguri Planning Area, a Terai Region of Darjeeling Himalaya, India · 2026 · DOIThe need for effective management and understanding of groundwater resources due to increasing demand and threats to environmental water balance. The lack of a comprehensive study on groundwater availability in the Siliguri Planning Area.
Quantifying Groundwater Availability and Hydrological Status Using Visual MODFLOW in Siliguri Planning Area, a Terai Region of Darjeeling Himalaya, India · 2026 · DOIThe study identifies the challenge of scarce and ephemeral water resources in ancient Arabian societies. The study notes the challenge of analyzing the hydrological and geomorphological factors influencing the site selection of the ancient Marib Dam. The study does not explicitly state other technical or domain challenges.
Geospatial Analysis of Geomorphological and Hydrological Factors Influencing the Site Selection of the Ancient Marib Dam · 2026 · DOIThe study identifies a gap in the historical interpretation of the dam's site selection. The analysis reveals that prior studies have not provided a quantitative assessment of the dam's site selection. The study aims to fill this gap by providing a geospatial analysis of the hydrological and geomorphological factors influencing the site selection.
Geospatial Analysis of Geomorphological and Hydrological Factors Influencing the Site Selection of the Ancient Marib Dam · 2026 · DOIThere is a need for improved understanding of groundwater conditions in Sumberpinang Village. Prior research has not fully addressed the application of GIS technology for drought mitigation in this context.
Pemetaan Muka Air Tanah Berbasis Sistem Informasi Geografis (SIG) sebagai Dasar Mitigasi Kekeringan di Desa Sumberpinang, Kabupaten Jember · 2026 · DOIThe study area's complex geological and hydrological characteristics. The need for accurate mapping of spring potential zones. The impact of climate change on spring occurrence and groundwater recharge.
A GIS-Based Logistic Regression Model for Groundwater Spring Potential Mapping in the Gamri Chhu Basin, Bhutan · 2026 · DOIFurther studies can apply the model to other regions with similar geological and hydrological characteristics. Future research can investigate the impact of climate change on spring occurrence and groundwater recharge.
A GIS-Based Logistic Regression Model for Groundwater Spring Potential Mapping in the Gamri Chhu Basin, Bhutan · 2026 · DOIGroundwater quality is affected by various factors, including geological, climatic, and anthropogenic factors. The region's hydrogeochemical characteristics are complex and need to be understood to develop sustainable groundwater management strategies. There is a need for integrated approaches to address the challenges of groundwater management in the region.
Spatio-temporal variations in the hydrochemical characteristics of groundwater in the Burhi Gandak Basin, Bihar, India · 2026 · DOIThe study is based on secondary datasets, which may have limitations in terms of data quality and availability. The study area is limited to the Burhi Gandak Basin, and the findings may not be applicable to other regions.
Spatio-temporal variations in the hydrochemical characteristics of groundwater in the Burhi Gandak Basin, Bihar, India · 2026 · DOIInfiltration processes remain the main limiting factor that regulates MAR efficiency in the area. The study area has a low amount of surface water and high climatic variability.
Identification of Suitable Managed Aquifer Recharge Sites Using GIS-AHP and Field-Based Evaluation of Aquifer Storage Capacity in Central Kazakhstan · 2026 · DOI
Most-cited papers in Groundwater and Watershed Analysis
- A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India · Applied Geography · 2007 · 442 citations
- Landscape connectivity: the geographic basis of geomorphic applications · Area · 2006 · 310 citations
- Groundwater vulnerability mapping: A GIS and fuzzy rule based integrated tool · Applied Geography · 2005 · 197 citations
- Water Body Detection Analysis Using NDWIIndices Derived from Landsat-8 OLI · Polish Journal of Environmental Studies · 2019 · 177 citations
- Critical role of climate factors for groundwater potential mapping in arid regions: Insights from random forest, XGBoost, and LightGBM algorithms · Journal of Hydrology · 2023 · 159 citations
- Integration of hydrogeological data, GIS and AHP techniques applied to delineate groundwater potential zones in sandstone, limestone and shales rocks of the Damoh district, (MP) central India · Environmental Research · 2023 · 112 citations
- A Geomorphic Perspective on Nutrient Retention Following Dam Removal · BioScience · 2002 · 109 citations
- Land allocation based on integrated GIS-optimization modeling at a watershed level · Landscape and Urban Planning · 2003 · 107 citations
- Amazon dams and waterways: Brazil’s Tapajós Basin plans · AMBIO · 2015 · 98 citations
- Flooding Patterns of the Okavango Wetland in Botswana between 1972 and 2000 · AMBIO · 2003 · 91 citations
Most recent work
- Morphometric-based flood hazard mapping of Al-Ghamqa River Basin using AHP and GIS · DYSONA – Applied Science · 2026
- Improved prediction of groundwater potential zones using a stacking machine learning model · Discover Sustainability · 2026
- GIS-Based IDW Mapping of Soil Index Properties: A Case Study of Elazığ Center · DÜMF Mühendislik Dergisi · 2026
- Unlocking Irrigation Potential: A Comparative Analysis of AHP and TOPSIS in Remote Sensing and GIS-Based Suitability Mapping · Journal of Irrigation and Drainage Engineering · 2026
- Hydraulic geometry analyses of the Kohora River, Assam, India · Discover Geoscience · 2026
- Sub-Watershed Prioritization Using Compound Factor and GIS Analysis in A Semi-Arid Agricultural Watershed of Madhya Pradesh · Iconic Research and Engineering Journals · 2026
- Assessing Groundwater Potential Using Artificial Intelligence and Earth Observation to Support Sustainable Agriculture in Vietnam’s Deltas · Journal of the Indian Society of Remote Sensing · 2026
- Physics-informed Bayesian Neural Network for groundwater recharge estimation in data-scarce arid regions · Frontiers in Water · 2026
- Spatial Mapping of Groundwater Potential (GWP) Identification Using Random Forest Machine Learning in Kedah, Malaysia · International Journal of Geoinformatics · 2026
- Groundwater Potential Mapping Using Machine Learning Techniques: Current Trends and Future Perspectives · Water · 2026
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