Publications

Papers published (Journals of International/ National repute)

S.No.	Publication details
1.	Pariartha, I.P.G.S, Aggarwal, S., Rallapalli, S., Egodawatta, P., McGree, J., Goonetilleke, A. (2023). Compounding effects of urbanization, climate change and sea-level rise on monetary projections of flood damage, Journal of Hydrology, 620, Part B, 2023, 129535.
2.	Khare, S., Singhal, A., Rai, S., Rallapalli, S. (2023) Heavy metal remediation using chelator-enhanced washing of municipal solid waste compost based on spectroscopic characterization. Environmental Science and Pollution Research 30, 65779–65800.
3.	Sharma, A., Kumar, D., Rallapalli, S., Singh, A. P. (2023). Wetland functional assessment and uncertainty analysis using fuzzy α-cut-based modified hydrogeomorphic approach. Environmental Science and Pollution Research. http://doi: 10.1007/s11356-023-27556-3
4.	Sharma, P.D., Rallapalli, S. & Lakkaniga, N.R. (2023). An innovative approach for predicting pandemic hotspots in complex wastewater networks using graph theory coupled with fuzzy logic. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-023-02468-3
5.	Shubham Aggarwal, Joe Magner, Rallapalli Srinivas, Gouri Sajith (2022). Managing nitrate‑nitrogen in the intensively drained upper Mississippi River Basin, USA under uncertainty: a perennial path forward, Environmental Monitoring and Assessment, 194:704. https://doi.org/10.1007/s10661-022-10401-4
6.	Shubham Aggarwal, Rallapalli Srinivas, Harish Puppala, Joe Magner (2022). Integrated decision support for promoting crop rotation based sustainable agricultural management using geoinformatics and stochastic optimization, Computers and Electronics in Agriculture, 200, 107213.
7.	Srinivas Rallapalli, Matt Drewitz, Joe Magner, Harish Puppala, Ajit Pratap Singh (2022). LiDAR based hydro-conditioned hydrological modeling for enhancing precise conservation practice placement in agricultural watersheds. Water Resources Management, https://doi.org/10.1007/s11269-022-03237-7.
8.	Srinivas Rallapalli, Matt Drewitz, Joe Magner, Ajit Pratap Singh, Ashantha Goonetilleke (2022). Hydro-conditioning: Advanced approaches for cost-effective water quality management in agricultural watersheds. Water Research, 220, 118647. https://doi.org/10.1016/j.watres.2022.118647
9.	Ananya Jain, Rallapalli Srinivas, Dhruv Kumar. (2022). Cloud‑based neuro‑fuzzy hydro‑climatic model for water quality assessment under uncertainty and sensitivity, Environmental Science and Pollution Research, https://doi.org/10.1007/s11356-022-20385-w.
10.	Gouri Sajith, Rallapalli Srinivas, Alexander Golberg, Joe Magner. (2022). Bio-inspired and artificial intelligence enabled hydro-economic model for diversified agricultural management, Agricultural Water Management, Special issue: Irrigation economics, 269, 107638. https://doi.org/10.1016/j.agwat.2022.107638.
11.	Saumitra Rai, Rallapalli Srinivas, Joe Magner. (2022). Using fuzzy logic-based hybrid modeling to guide riparian best management practices selection in tributaries of the Minnesota River Basin. Journal of Hydrology, 608,127628. https://doi.org/10.1016/j.jhydrol.2022.127628.
12.	Ananya Jain, Saumitra Rai, Rallapalli Srinivas, Riyadh I. Al-Raoush. (2022). Bioinspired modeling and biogeography-based optimization of electrocoagulation parameters for enhanced heavy metal removal. (2022). Journal of Cleaner Production, 338, 130622 https://doi.org/10.1016/j.jclepro.2022.130622.
13.	Rallapalli Srinivas, Brajeswar Das, Anupam Singhal. (2022). Integrated watershed modeling using interval valued fuzzy computations to enhance watershed restoration and protection at field-scale. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-021-02151-5
14.	Thakur, T., Mehra, A., Hassija, V., Chamola, V., Srinivas, R., Gupta, K. K., & Singh, A. P. (2021). Smart water conservation through a machine learning and blockchain-enabled decentralized edge computing network. Applied Soft Computing, 107274.
15.	Srinivas, R., Aggarwal, S., & Singh, A. P. (2021). Detecting SARS-CoV-2 RNA prone clusters in a municipal wastewater network using fuzzy-Bayesian optimization model to facilitate wastewater-based epidemiology. Science of The Total Environment, 146294.
16.	Srinivas, R., Singh, A. P., Jain, V., & Sharma, P. (2020). Development of an advanced entropy-based decision support system to assess the feasibility of linking of rivers in a sustainable manner. International Journal of River Basin Management, 1-12.
17.	Srinivas, R., Drewitz, M., Magner, J. (2020). Evaluating watershed-based optimized decision support framework for conservation practice placement in Plum Creek Minnesota, Journal of Hydrology, Elsevier, 583, 124573
18.	Srinivas, R., Singh, A.P., Dhadse, K., Magner, J. (2020) Hydroclimatic river discharge and seasonal trends assessment model using an advanced spatio-temporal model, Stochastic Environmental Research and Risk Assessment, Springer, 34, 381–396
19.	Srinivas, R., Singh, A.P., and Shankar, D. (2020). Understanding the threats and challenges concerning Ganges River basin for effective policy recommendations towards sustainable development, Environment Development and Sustainability, Springer, 22, 3655–3690
20.	Srinivas, R., Singh, A.P., Dhadse, K., Gard, C. (2019). An evidence based integrated watershed modelling system to assess the impact of non-point source pollution in the riverine ecosystem, Journal of Cleaner Production, Elsevier, 246, 118963
21.	Srinivas, R., Singh, A.P., Jain, V., Bhamra, R.S., Sharma, P. (2019). Evaluation and Quantification of Pollution caused by open drains in Ganges River Basin using multivariate cluster analysis. Asian Journal of Water, Environment and Pollution, 17(1), 75–82.
22.	Srinivas, R., Singh, A.P., Dhadse, K., Garg, C., Deshmukh, A. (2018). Sustainable management of a river basin by integrating an improved fuzzy based hybridized SWOT model and geo-statistical weighted thematic overlay analysis, Journal of Hydrology, Elsevier, 563, 92- 105.
23.	Srinivas, R. and Singh, A. P. (2018). An integrated fuzzy based advanced eutrophication simulation model to develop best management scenarios for a river basin, Environmental Science and Pollution Research, Springer, 25(9), 9012-9039.
24.	Srinivas, R. and Singh, A. P., and Deshmukh, A. (2018). ‘Development of a HEC-HMS based watershed modeling system for identification, allocation and optimization of reservoirs in a river basin’, Environmental Monitoring and Assessment, Springer, 190 (31).
25.	Srinivas, R., Singh, A. P., Gupta, A. A. and Kumar, P. (2018). Holistic approach for quantification and identification of pollutant sources of a river basin by analyzing the open drains using an advanced multivariate clustering, Environmental Monitoring and Assessment, Springer, 190 (12).
26.	Srinivas, R. and Singh, A. P. (2018). Impact assessment of industrial wastewater discharge in a river basin using interval-valued fuzzy group decision-making and spatial approach, Environment, Development and Sustainability, Springer, 20, 2373–2397.
27.	Srinivas, R., Singh, A. P., and Sharma R. (2017). A scenario-based impact assessment of trace metals on ecosystem of river Ganges using multivariate analysis coupled with fuzzy decision-making approach. Water Resources Management, Springer, 31 (3), 4165-4185.
28.	Srinivas, R. and Singh, A. P. (2017). Development of a comprehensive fuzzy based approach for evaluating sustainability and self-purifying capacity of river Ganges, ISH Journal of Hydraulic Engineering, Taylor & Francis, 24(2), 131-139
29.	Singh, A. P., Srinivas, R., Kumar, S. and Chakrabarti S. (2015). Water quality assessment of a river basin under Fuzzy Multi-Criteria Framework. International Journal of Water, Springer, 9(3), 226-247.
30.	Srinivas, R., P. Bhakar, and A.P. Singh (2015). Groundwater Quality Assessment in some selected area of Rajasthan, India Using Fuzzy Multi-Criteria Decision-Making Tool. Aquatic Procedia, Elsevier, 4, 1023–1030.

Papers published (Book)

SNo.

Details

Advances in Computational Modeling and Simulation, Lecture Notes in Mechanical Engineering, Springer, 2022. ISSN 2195-4356, ISSN 2195-4364 (electronic), ISBN 978-981-16-7856-1, ISBN 978-981-16-7857-8 (eBook).https://doi.org/10.1007/978-981-16-7857-8

Editors: Rallapalli Srinivas, Rajesh Kumar, Mainak Dutta Editors

Papers published (Book Chapters)

S.No.	Details
1.	Srinivas R., Singh A.P. (2018) Application of Fuzzy Multi-criteria Approach to Assess the Water Quality of River Ganges. In: Pant M., Ray K., Sharma T., Rawat S., Bandyopadhyay A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 583, pp 513-522. Springer, Singapore
2.	Magner, J., Das, B., Srinivas, R., Singhal, A., & Sharma, A. (2022). Isotopes for Improving Hydrologic Modeling and Simulation of Watershed Processes. Advances in Computational Modeling and Simulation, 123, Springer, ISBN: 978-981-16-7857-8
3.	Srinivas, R., Drewitz, M., Magner, J., Singh, A. P., Kumar, D., & Katpatal, Y. B. (2022). Simulating Landscape Hydrologic Connectivity in a Precise Manner Using Hydro-Conditioning. Advances in Computational Modeling and Simulation, 209, Springer ISBN: 978-981-16-7857-8

International/National Conference papers/proceedings

S.No.	Paper details
1.	Srinivas, R., Magner, J., Drewitz, M. (2021). LiDAR Based Hydro-Conditioned Hydrological Modeling for Conservation Practice Placement in Agroecosystems. 76th SWCS International Annual Conference, Minnesota, U.S.A. July 26-28, 2021.
2.	Saumitra, R., Srinivas, R., Magner, J. (2021). Integrating Fuzzy Logic Riparian Management Decision Support in the Upper Mississippi River Basin. 76th SWCS International Annual Conference, Minnesota, U.S.A. July 26-28, 2021.
3.	Srinivas, R., Magner, J., Drewitz, M. (2020). Developing an Optimized Decision Support Framework for Sustainable Field-Scale Assessment Using Hydro-Conditioned Watershed Modeling Tools. 75th SWCS International Annual Conference, Minnesota, U.S.A. July 27-29, 2020.
4.	Srinivas, R., Magner, J., Drewitz, M. (2019). Comparing ACPF, PTMApp and HSPF-SAM Outcomes to develop a decision support framework in the Plum Creek Watershed. Minnesota Association of Watersheds Districts Conference, Minnesota, U.S.A. December 5-7, 2019.
5.	Srinivas, R., Magner, J., Drewitz, M. (2019). Comparing SWAT with ACPF and PTMApp Outcomes in the Plum Creek Watershed. Minnesota Water Resources Conference, St. Paul, Minnesota. October 15-16, 2019.
6.	Srinivas, R., Singh, A. P., Jain, V., Bhamra, R. S., and Sharma, P. (2018). Evaluation and Quantification of Pollution caused by open drains in Ganges River Basin using multivariate cluster analysis. International Conference on Trends and Recent Advances in Civil Engineering (TRACE-2018), Amity University Uttar Pradesh, Noida, UP, India, 23 - 24 August 2018. Best paper award.
7.	Srinivas, R., and Singh, A.P. (2017). A fuzzy based multi-criteria approach for assessing the sustainability of river Ganga. International Conference 'Incessant Ganga' organized by 'Water Resource Department, Govt. of Bihar'.
8.	Srinivas, R. and Singh, A.P. (2016). A fuzzy based multi-criteria decision-making approach for assessing the self-purifying capacity of river Ganga”. Eighth International Perspective on Water Resources and the Environment conference, organized by the American Society of Civil Engineers (ASCE) and the Environmental and Water Resources Institute (EWRI) held during 4-6 January 2016 at Colombo, Sri Lanka.
9.	Srinivas, R., and Singh, A.P. (2016). Impact Assessment of open drains in river Ganges using scenario-based water quality modeling. 21st International Conference on Hydraulics, Water Resources and Coastal Engineering (HYDRO-2016) held at Central Water and Power Research Station (CWPRS), Pune. Organized by Indian Society of Hydraulics (ISH).
10.	Srinivas, R., and Singh, A.P. (2016). Application of fuzzy multi-criteria approach to assess the water quality of river Ganges. International Conference on Soft Computing: Theories and Application (SoCTA 2016) held at AMITY University, Jaipur.
11.	Gupta, R., Srinivas, R., Rajesh Reddy, P., and Swathi, V. (2016). Evaluation of MRTS using the spatial technique: A Case study. International Conference on Transportation and Development 2016, ASCE: pp. 289-298. doi: 10.1061/9780784479926.027. ISBN (PDF): 978-0-7844-7992-6
12.	Srinivas, R., P. Bhakar, and A.P. Singh (2015). Groundwater Quality Assessment in some selected area of Rajasthan, India Using Fuzzy Multi-Criteria Decision-Making Tool. ICWRCOE'15, NIT Suratkal. Best paper award.
13.	Gupta, R., Srinivas, R. and Swathi, V. (2015). Environmental and Socio-economic impacts of mass rapid transit using GIS. Presented in ESRI UC proceedings' 15.
14.	Srinivas, R. and Singh, A.P. (2015). Sustainability analysis of a stretch of Ganga river using fuzzy multi-criteria decision-making approach. Hydro 2015 International: 20th International Conference on Hydraulics, Water Resources and River Engineering held during 17-19 December 2015 at Department of Civil Engineering, IIT Roorkee, India.

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