Water Science and Technology, Environmental Science
62
Scopus Publications
1962
Scholar Citations
24
Scholar h-index
36
Scholar i10-index
Scopus Publications
Multi-Criteria Geospatial Assessment of Rainwater Harvesting Potential in Urban Environments Using Remote Sensing and GIS Satish Kumar Mummidivarapu, Shaik Rehana, Chiravuri Sai Sowmya, Ataur Rahman Water Switzerland, 2026 Urban cities have been intensely prone to floods during extreme rainfall events and water scarcity issues during dry periods in recent years. In this context, identifying rainwater harvesting potential (RWHP) regions in urban environments provides a sustainable approach to mitigate both urban flooding and water security, thereby improving urban stormwater management. Geospatial mapping of RWHP has tried to consider various hydrometeorological, topographical and other geospatial datasets, but integrating socio-economic factors over urban environments has not been explored much. The present study integrated remote sensing and hydrological-based information, such as slope, soil type, drainage density, geomorphology, topographic wetness index (TWI), land use land cover (LULC), rainfall, runoff coefficient, proximity to roads, and proximity to settlements for geospatial mapping of RWH potential zones for Hyderabad city using multi-criteria decision analysis (MCDA) and weighted overlay analysis (WOA). The resulting RWH potential map indicates that 80.20% of the area falls within the “low” potential category, 17.53% as “moderate”, 2.0% as “very low”, and only 0.25% as “high” potential, mainly in the southeastern portion near the Hussain Sagar outlet. These categories are spatially verified using Sentinel-2 LULC and Google Earth imagery to assess the qualitative plausibility of the mapped RWH potential zones. Northwestern areas, with loamy soils and mild slopes, demonstrate suitability for rooftop collection and percolation structures, highlighting the effectiveness of the proposed modelling framework for sustainable stormwater management for urban environments.
Assessment of Compound Hydrological–Thermal Extremes over Indian River Systems Jaya Bharat Reddy Buchupalle, Satish Kumar Mummidivarapu, Shaik Rehana, Shahid Latif, Taha B. M. J. Ouarda Water Switzerland, 2026 River water quality assessment has traditionally been conducted using univariate or threshold-based approaches; however, the exploration of extremes assessment under bivariate water quality variables has been limited by many studies. Understanding the compound extremes of low river discharge (Q) and elevated river water temperatures (RWTs) resulting from climatic variability is essential for effective water quality management and protection of the river. This study investigates the joint behaviour of RWTs and Q in six Indian rivers: Kaveri, Mahi, Sabarmati, Vardha, Bhadra, and Yamuna. The Weibull-3P and Generalised Extreme Value (GEV-3P) distributions best fit for Q and RWTs, respectively. The adequacy of eighteen different parametric copula classes was evaluated. The Gaussian copula provided the best fit for the Vardha River, the Frank copula for Bhadra, and the BB8 copula for the Yamuna River. The evaluation of joint return periods (RPs) and conditional distributions has identified notable spatial variability in compound hydrological and thermal extreme hazards. The semi-arid Vardha River showed the shortest RPs for simultaneous low Q and high RWTs, indicating a greater likelihood of combined extremes. Conversely, the monsoon-fed Bhadra River displayed moderate hazard levels, while the Himalayan-fed Yamuna River had the longest joint RPs and the lowest conditional probabilities. This suggests that simultaneous extreme drought and heat events are less likely in the Yamuna basin, although significant risks remain for less severe thresholds.
Assessment of environmental risk using trivariate joint distribution of river water temperature, river flow and dissolved oxygen with semiparametric D-vine copula framework Shahid Latif, Taha B.M.J. Ouarda, Shaik Rehana, André St-Hilaire Weather and Climate Extremes, 2026 Quantifying trivariate joint and conditional exceedance probabilities of River Water Temperature (RWT), River Flow (RF), and Dissolved Oxygen (DO) provides critical insights into compound water-quality stress and its implications for aquatic life and ecosystem health. However, the concurrent occurrence of critical RWT, DO, and RF thresholds, and the associated potential implications for aquatic species that motivate our focus on joint risk, has yet to be fully explored. To address the simultaneous joint action of RWT, RF and DO events, this study incorporates a D-vine copula with nonparametric Gaussian Kernel density estimation (GKDE) for modelling trivariate joint and conditional hazard risks. Using this proposed framework, the study analyzed monthly triplet datasets from the Musi River basin (Dhamaracharla gauge, 1991-2005) in India. RWT-RF and RWT-DO exhibit a strong negative correlation, while RF-DO shows a positive correlation. The GKDE method outperformed the parametric models in estimating marginal densities for all selected variables. A DO-centered semiparametric D-vine (order RWT-DO-RF) outperforms alternative vine orders and fully parametric models, showing higher likelihood, lower information-criterion scores, and a good calibration under the Rosenblatt transform. It shows no detectable tail clustering and aligns with standard tail diagnostics and joint-exceedance curves, providing a reliable basis for joint-risk estimation within the observed ranges. The rotated Joe copula (270 degrees), BB8 copula, and Clayton copula (90 degrees) are selected with GKDE in establishing trivariate joint and conditional return periods (RPs). The estimated RWT, RF and DO quantiles indicate dangerous levels with potential significant threats to aquatic life. Trivariate AND-joint RPs are generally higher than their bivariate counterparts. Furthermore, lower trivariate AND-joint RPs are associated with higher RWT and low RF and DO quantiles, reflecting elevated concurrence risk. Conditional joint RPs are lowest when RWT is high and both RF and DO are low, indicating elevated compound risk for water quality and possibly for biota. These joint and conditional estimates quantify concurrent hazard within the observed range and inform ecological risk assessment.
Cyber Threat Intelligence Detection and Response System using QNN Model with Flask Interface, Email, and Twilio Mobile Alerts Shaik Shakila Bhanu, J. David S Kumar, Chinna Veeraiahgari Mabuchan, Godala Sunanda, Dudekula Lakshmi, Shaik Rehana Proceedings of 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things Icoici 2025, 2025 The growing sophistication and frequency of cyber threats demand intelligent, real-time solutions capable of detecting evolving attack patterns. This paper introduces a modular Cyber Threat Intelligence Detection and Response System that integrates a Quantum Neural Network (QNN) model with a Flask-based web interface and real-time alert mechanisms. Leveraging quantum computing principles such as superposition and entanglement, the QNN model improves anomaly detection accuracy and generalization in high-dimensional network data. Trained using PyTorch and evaluated on labeled intrusion datasets, the model achieved a detection accuracy of 96.85%, outperforming traditional classifiers such as Support Vector Machines (SVM) and Deep Neural Networks (DNN). The system includes a user-friendly interface that supports secure CSV uploads, threat visualization, and activity logging. Real-time alerts are delivered via SMTP-based email and Twilio SMS, ensuring that security teams receive immediate notifications of suspicious activity. Designed with modular components for detection, alerting, and logging, the architecture promotes scalability and ease of integration with enterprise environments. Although currently deployed on a classical simulation of quantum hardware, the system demonstrates significant potential for future implementation in real-world Security Operations Centers (SOCs). This work contributes a practical, quantum- enhanced cybersecurity solution that bridges cutting-edge machine learning research with operational security needs.
Comparison of historical precipitation data between cordex model and Imd over Malaprabha River Basin, Karnataka State, India International Journal of Innovative Technology and Exploring Engineering, 2019
River water quality response to climate change 34th IAHR Congress 2011 Balance and Uncertainty Water in A Changing World Incorporating the 33rd Hydrology and Water Resources Symposium and the 10th Conference on Hydraulics in Water Engineering, 2011
Multi-Criteria Geospatial Assessment of Rainwater Harvesting Potential in Urban Environments Using Remote Sensing and GIS SK Mummidivarapu, S Rehana, CS Sowmya, A Rahman Water 18 (9), 1014 , 2026 2026
Assessment of Compound Hydrological–Thermal Extremes over Indian River Systems JBR Buchupalle, SK Mummidivarapu, S Rehana, S Latif, TBMJ Ouarda Water 18 (8), 896 , 2026 2026
Assessment of the Influence of Catchment Characteristics on Thermal Regimes of Tropical Reservoirs through Landsat 8 Satellite Imagery A Latwal, S Rehana, KS Rajan 2026
Assessment of environmental risk using trivariate joint distribution of river water temperature, river flow and dissolved oxygen with semiparametric D-vine copula framework S Latif, TBMJ Ouarda, S Rehana, A St-Hilaire Weather and Climate Extremes, 100858 , 2026 2026
Spatiotemporal risk assessment of river water quality for tropical river systems using hydrological dynamics, anthropogenic influences, and ecological health index SK Mummidivarapu, S Rehana Science of The Total Environment 1013, 181329 , 2026 2026
Multi-Criteria Geospatial Analysis of Rainwater Harvesting Potential Zones and Susceptibility of Built-up Regions in Hyderabad City, India CJ Gangothri, S Rehana, A Rahman, SK Mummidviarapu, KS Rajan International Conference on Water and Environmental Engineering, 672-687 , 2025 2025
Comparative Overview of Urban Stormwater Management in Australia and India SK Mummidivarapu, S Rehana, CJ Gangothri, KS Rajan, A Ladson, ... International Conference on Water and Environmental Engineering, 688-696 , 2025 2025
Spatiotemporal analysis of turbidity in tropical reservoirs using Sentinel-2 satellite imagery under catchment dynamics A Latwal, S Rehana, KS Rajan Remote Sensing Applications: Society and Environment 39, 101631 , 2025 2025 Citations: 1
Spatiotemporal Analysis of Warm and Dry Compound Extreme Events VSV Nannaka, S Rehana Climate Change Impact on Water Resources: Select Proceedings of HYDRO 2023, 287 , 2025 2025
Timberline formation and relationship with climatic variables of Indian central Himalaya: role of topography P Sah, S Sharma, R Shaik EGUsphere 2025, 1-30 , 2025 2025
Application of GIS in rainwater harvesting potential regions–Hyderabad case study S Rehana, A Rahman, KS Rajan Proceedings of the 3rd International Conference on Advancements in … , 2024 2024
Bibliometric insights into microplastic pollution in freshwater ecosystems G Yildirim, M Anindita, X Pan, S Rahman, MA Alim, R Shaik, A Rahman Water 16 (22), 3237 , 2024 2024 Citations: 7
Variations of compound warm, dry, wet, and cold climate extremes in India during 1951 to 2014 S Rehana, V Nannaka, SK Mummidivarapu Science of the Total Environment 950, 175164 , 2024 2024 Citations: 9
Application of SWMM for urban storm water management: a case study of Hyderabad City S Rehana, RV Ramana, YRS Rao, SK Mummidivarapu, A Rahman International Conference on Advancements in Engineering Education, 23-29 , 2024 2024
Water sensitive urban design practices in Indian cities: a critical review S Rehana, A Rahman, KS Rajan International Conference on Advancements in Engineering Education, 37-43 , 2024 2024 Citations: 1
A study on river water temperature in Victoria SL Bag-ao, X Pan, R Shaik, A Rahman International Conference on Advancements in Engineering Education, 51-59 , 2024 2024
Prediction of river water temperature using the Extreme Gradient Boosting–tropical river system of India R Maddu, S Rehana, A Rahman, TBMJ Ouarda Proceedings of the 3rd International Conference on Advancements in … , 2024 2024
Drought evaluation using various evapotranspiration models over semi-arid river basins P Kumari, R Shaik, SC Vannam, SK Singh Journal of Water and Climate Change 15 (8), 3582-3601 , 2024 2024 Citations: 6
Examining chlorophyll-a concentrations in tropical reservoirs under various land use changes using Sentinel–2 and Google Earth engine–Bhadra and Tungabhadra, India A Latwal, T Kondraju, S Rehana, KS Rajan Journal of Contaminant Hydrology 265, 104388 , 2024 2024 Citations: 7
A review of event-based conceptual rainfall-runoff models: A case for Australia S Ali, A Rahman, R Shaik Encyclopedia 4 (2), 966-983 , 2024 2024 Citations: 6
MOST CITED SCHOLAR PUBLICATIONS
Assessment of hydrologic impacts of climate change in Tunga–Bhadra river basin, India with HEC‐HMS and SDSM R Meenu, S Rehana, PP Mujumdar Hydrological processes 27 (11), 1572-1589 , 2013 2013 Citations: 298
Environmental biotechnology: for sustainable future RC Sobti, NK Arora, R Kothari Springer , 2019 2019 Citations: 146
Impact of climate change on river water temperature and dissolved oxygen: Indian riverine thermal regimes M Rajesh, S Rehana Scientific reports 12 (1), 9222 , 2022 2022 Citations: 138
River Water Quality Response under Hypothetical Climate Change Scenarios in Tunga-Bhadra River, India S Rehana, PP Mujumdar 34th IAHR BIENNIAL CONGRESS, Brisbane, Australia, June 26 to July 1, 2011. , 2011 2011 Citations: 126
Climate change induced risk in water quality control problems S Rehana, PP Mujumdar Journal of Hydrology 444, 63-77 , 2012 2012 Citations: 98
An imprecise fuzzy risk approach for water quality management of a river system S Rehana, PP Mujumdar Journal of environmental management 90 (11), 3653-3664 , 2009 2009 Citations: 87
Regional Impacts of Climate Change on Irrigation Water Demands S Rehana, PP Mujumdar National Conference on Sustainable Water Resources Planning, Management and … , 2013 2013 Citations: 78
Physical, chemical and geotechnical characterization of fly ash, bottom ash and municipal solid waste from Telangana State in India CS Reddy, S Mohanty, R Shaik International Journal of Geo-Engineering 9 (1), 23 , 2018 2018 Citations: 75
Precipitation and temperature extremes and association with large-scale climate indices: An observational evidence over India S Rehana, P Yeleswarapu, G Basha, F Munoz-Arriola Journal of Earth System Science 131 (3), 170 , 2022 2022 Citations: 59
River water temperature modelling under climate change using support vector regression S Rehana Hydrology in a changing world: Challenges in modeling, 171-183 , 2019 2019 Citations: 54
Estimation of reference evapotranspiration using machine learning models with limited data A Ayaz, M Rajesh, SK Singh, S Rehana AIMS Geosci 7 (3), 268-290 , 2021 2021 Citations: 50
Development of Hydro-Meteorological Drought Index under Climate Change – Semi-Arid River Basin of Peninsular India S Rehana, G Sireesha Naidu Journal of Hydrology , 2021 2021 Citations: 50
Short-range reservoir inflow forecasting using hydrological and large-scale atmospheric circulation information R Maddu, I Pradhan, E Ahmadisharaf, SK Singh, R Shaik Journal of Hydrology 612, 128153 , 2022 2022 Citations: 47
Suitability of distributions for standard precipitation and evapotranspiration index over meteorologically homogeneous zones of India NT Monish, S Rehana Journal of Earth System Science 129 (1), 25 , 2019 2019 Citations: 47
Observed climatology and trend in relative humidity, CAPE, and CIN over India PI Khan, DV Ratnam, P Prasad, G Basha, JH Jiang, R Shaik, MV Ratnam, ... Atmosphere 13 (2), 361 , 2022 2022 Citations: 36
Characterization of regional drought over water and energy limited zones of India using potential and actual evapotranspiration S Rehana, NT Monish Earth and Space Science 7 (10), e2020EA001264 , 2020 2020 Citations: 33
Improving short-range reservoir inflow forecasts with machine learning model combination M Rajesh, S Anishka, PS Viksit, S Arohi, S Rehana Water Resources Management 37 (1), 75-90 , 2023 2023 Citations: 31
Impact of potential and actual evapotranspiration on drought phenomena over water and energy-limited regions S Rehana, NT Monish Theoretical and Applied Climatology , 2021 2021 Citations: 31
Mapping and assessment of river water quality under varying hydro-climatic and pollution scenarios by integrating QUAL2K, GEFC, and GIS SK Mummidivarapu, S Rehana, YRS Rao Environmental Research 239, 117250 , 2023 2023 Citations: 30
Prediction of land surface temperature of major coastal cities of India using bidirectional LSTM neural networks R Maddu, AR Vanga, JK Sajja, G Basha, R Shaik Journal of Water and Climate Change 12 (8), 3801-3819 , 2021 2021 Citations: 28