Ajay Kalra

Assistant Professor

Southern Illinois University Carbondale

United States

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About

Ajay Kalra is an Assistant Professor at Southern Illinois University Carbondale, USA. His research focuses on machine learning applications in environmental science, particularly in areas such as flood risk assessment and drought monitoring. Recent articles highlight his work on flood susceptibility mapping, the effectiveness of wetlands on water quality, and the integration of hydrological models with machine learning for better environmental management.

Articles (19)

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2020

Collaborators (2)

Sangmin Shin

Southern Illinois University

UNITED STATES

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Rohan Benjankar

Associate Professor

Southern Illinois University Edwardsville

UNITED STATES

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Ajay Kalra

Research Interests

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Articles (19)

Machine Learning-Based Flood Risk Assessment in Urban Watershed: Mapping Flood Susceptibility in Charlotte, North Carolina

Effectiveness of Wetlands for Improving Different Water Quality Parameters in Various Climatic Conditions

Developing a Composite Drought Indicator Using PCA Integration of CHIRPS Rainfall, Temperature, and Vegetation Health Products for Agricultural Drought Monitoring in New Mexico

Flood Susceptibility Analysis with Integrated Geographic Information System and Analytical Hierarchy Process: A Multi-Criteria Framework for Risk Assessment and Mitigation

Evaluating the Effectiveness of Best Management Practices in Adapting the Impacts of Climate Change-Induced Urban Flooding

Application of Machine Learning and Hydrological Models for Drought Evaluation in Ungauged Basins Using Satellite-Derived Precipitation Data

Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models

Application of Machine Learning Models for Improving Discharge Prediction in Ungauged Watershed: A Case Study in East DuPage, Illinois

Impact of Land Use and Land Cover Change on Hydrological Processes in Urban Watersheds: Analysis and Forecasting for Flood Risk Management

Application of NEXRAD precipitation data for assessing the implications of low development practices in an ungauged basin

Resilience effect of decentralized detention system to extreme flooding events

Projected Future Flooding Pattern of Wabash River in Indiana and Fountain Creek in Colorado: An Assessment Utilizing Bias-Corrected CMIP6 Climate Data

Evaluating the hydrological performance of integrating PCSWMM and NEXRAD precipitation product at different spatial scales of watersheds

Assessing the Implication of Climate Change to Forecast Future Flood Using CMIP6 Climate Projections and HEC-RAS Modeling

Application of Machine Learning and Process-Based Models for Rainfall-Runoff Simulation in DuPage River Basin, Illinois

Analyzing the Association between ENSO and Groundwater Rise in the South Atlantic-Gulf Region in the Southeastern United States

Analyzing the Effects of Short-Term Persistence and Shift in Sea Level Records along the US Coast

Analyzing the Impacts of Serial Correlation and Shift on the Streamflow Variability within the Climate Regions of Contiguous United States

Land–Ocean–Atmosphere Influences on Groundwater Variability in the South Atlantic–Gulf Region

Collaborators (2)

Sangmin Shin

Rohan Benjankar

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