My Publications

––––––––––––– From Ph.D. Thesis –––––––––––––

1. Rahaman MH, Sajjad H, Hussain S, Roshani, Masroor M, Sharma A (2024) Surface water quality prediction in the lower Thoubal river watershed, India: A hyper-tuned machine learning approach and DNN-based sensitivity analysis. Journal of Environmental Chemical Engineering 134:112915. https://doi.org/10.1016/j.jece.2024.112915 [PDF]

2. Rahaman MH, Roshani, Masroor M, Sajjad H (2023) Integrating remote sensing derived indices and machine learning algorithms for precise extraction of small surface water bodies in the lower Thoubal river watershed, India. Journal of Cleaner Production 138563. https://doi.org/10.1016/j.jclepro.2023.138563 [PDF]

3. Rahaman MH, Saha TK, Masroor M, Roshani, Sajjad H (2023) Trend analysis and forecasting of meteorological variables in the lower Thoubal river watershed, India using non-parametrical approach and machine learning models. Modeling Earth Systems and Environment https://doi.org/10.1007/s40808-023-01799-y [PDF]

4. Rahaman MH, Masroor M, Rehman S, Singh R, Ahmed R, Sahana M, Sajjad H (2022) State of Art of Review on Climate Variability and Water Resources: Bridging Knowledge Gaps and the Way Forward. Water Resources 49:699–710. https://doi.org/10.1134/S0097807822040169 [PDF]

5. Rahaman MH, Sajjad H, Roshani, Masroor M, Bhuyan N, Rehman S (2022) Delineating groundwater potential zones using geospatial techniques and fuzzy analytical hierarchy process (FAHP) ensemble in the data-scarce region: evidence from the lower Thoubal river watershed of Manipur, India. Arabian Journal of Geosciences 15:677. https://doi.org/10.1007/s12517-022-09946-y [PDF]

Under Consideration: Assessment of rainfall-discharge relationship using LSTM-generated streamflow data in an ungauged Thoubal river watershed in India. Soft Computing.

––––––––––––– 2024 –––––––––––––

6. Saha TK, Sajjad H, Rahaman MH, Ali R, Bhuyan N, Sharma A (2025) Livelihood Vulnerability Assessment of Fishing Communities: Evidence from Deepor Beel of Assam, India. In: Banu N, Fazal S (eds) Livelihoods and Well-Being in the Era of Climate Change. Springer Nature Switzerland, Cham, pp 103–125 https://doi.org/10.1007/978-3-031-81132-6_6 [PDF]

7. Ali R, Sajjad H, Saha TK, Rahaman MH, Masroor M, Roshani, Sharma A (2024) Assessment of climate change in Upper Jhelum Sub-catchment, India, using nonparametric methods and random forest model. Acta Geophysica. https://doi.org/10.1007/s11600-024-01505-1 [PDF]

8. Bhuyan N, Sajjad H, Rahaman MH, Ahmed R (2024) Riverbank erosion induced vulnerability in India: a review for future research framework. Natural Hazards https://doi.org/10.1007/s11069-024-06789-6 [PDF]

9. Sharma A, Sajjad H, Rahaman MH, Saha TK, Bhuyan N (2024) Effectiveness of hybrid ensemble machine learning models for landslide susceptibility analysis: Evidence from Shimla district of North-west Indian Himalayan region. Journal of Mountain Science 21:2368–2393. https://doi.org/10.1007/s11629-024-8651-7 [PDF]

10. Sharma A, Sajjad H, Bhuyan N, Rahaman MH, Ali R (2024) Climate change-induced landslide vulnerability: Empirical evidence from Shimla district, Himachal Pradesh, India. International Journal of Disaster Risk Reduction 110:104657. https://doi.org/10.1016/j.ijdrr.2024.104657 [PDF]

11. Saha TK, Sajjad H, Roshani, Rahaman MH, Sharma Y (2024) Exploring the impact of land use/land cover changes on the dynamics of Deepor wetland (a Ramsar site) in Assam, India using geospatial techniques and machine learning models. Modeling Earth Systems and Environment https://doi.org/10.1007/s40808-024-01999-0 [PDF]

12. Roshani, Rahaman MH, Masroor M, Sajjad H, Saha TK (2024) Assessment of Habitat Suitability and Potential Corridors for Bengal Tiger (Panthera tigris tigris) in Valmiki Tiger Reserve, India, Using MaxEnt Model and Least-Cost Modeling Approach. Environmental Modeling & Assessment https://doi.org/10.1007/s10666-024-09966-w [PDF]

13. Roshani, Sajjad H, Rahaman MH, Masroor M, Sharma Y, Sharma A, Saha TK (2024) Vulnerability assessment of forest ecosystem based on exposure, sensitivity and adcaptive capacity in the Valmiki Tiger Reserve, India: A geospatial analysis. Ecological Informatics 80:102494. https://doi.org/10.1016/j.ecoinf.2024.102494 [PDF]

14. Ali, R., Sajjad, H., Masroor, M., Saha, T. K., Roshani, & Rahaman MH (2024). Morphometric parameters based prioritization of watersheds for soil erosion risk in Upper Jhelum Sub-catchment, India. Environmental Monitoring and Assessment, 196(1), 82. https://doi.org/10.1007/s10661-023-12226-1 [PDF]

15. Ali R, Sajjad H, Saha TK, Roshani, Masroor M, Rahaman MH (2024) Effectiveness of machine learning ensemble models in assessing groundwater potential in Lidder watershed, India. Acta Geophysica. https://doi.org/10.1007/s11600-023-01237-8 [PDF]

16. Bhuyan N, Sajjad H, Kanti T, Roshani, Sharma Y, Rahaman MH, Ahmed R (2024) Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam , India using machine learning algorithms. Catena 234:107581. https://doi.org/10.1016/j.catena.2023.107581 [PDF]

17. Sharma A, Sajjad H, Roshani, Rahaman MH (2024) A systematic review for assessing the impact of climate change on landslides: research gaps and directions for future research. Spatial Information Research. https://doi.org/10.1007/s41324-023-00551-z [PDF]

––––––––––––– 2023 –––––––––––––

18. Rehman S, Rahaman MH, Masroor M, Roshani, Sajjad H, Ahmed R, Yunus AP, Sahana M (2023) Analyzing vulnerability of communities to flood using composite vulnerability index: evidence from Bhagirathi Sub-basin, India. Natural Hazards https://doi.org/10.1007/s11069-023-06170-z [PDF]

19. Masroor M, Rahaman MH, Sajjad H (2023) Assessing farmers’ perception based composite drought vulnerability in Godavari Middle Sub-basin, India. International Journal of Disaster Risk Reduction 92:103747. https://doi.org/10.1016/j.ijdrr.2023.103747 [PDF]

20. Sahana M, Patel PP, Rehman S, Rahaman MH, Masroor M, Imdad K, Sajjad H (2023) Assessing the effectiveness of existing early warning systems and emergency preparedness towards reducing cyclone-induced losses in the Sundarban Biosphere Region, India. International Journal of Disaster Risk Reduction 90:103645. https://doi.org/10.1016/j.ijdrr.2023.103645 [PDF]

21. Kumari G, Sajjad H, Rahaman MH, Masroor M, Roshani, Ahmed R, Sahana M (2023) Climate variability induced livelihood vulnerability: A systematic review and future prospects. Area 55:116–124. https://doi.org/10.1111/area.12822 [PDF]

22. Masroor M, Sajjad H, Kumar P, Saha TK, Rahaman MH, Choudhari P, Kulimushi LC, Pal S, Saito O (2023) Novel Ensemble Machine Learning Modeling Approach for Groundwater Potential Mapping in Parbhani District of Maharashtra, India. Water 15:419. https://doi.org/10.3390/w15030419 [PDF]

23. Masroor M, Razavi-Termeh SV, Rahaman MH, Choudhari P, Kulimushi LC, Sajjad H (2023) Adaptive neuro fuzzy inference system (ANFIS) machine learning algorithm for assessing environmental and socio-economic vulnerability to drought: a study in Godavari middle sub-basin, India. Stochastic Environmental Research and Risk Assessment 37:233–259. https://doi.org/10.1007/s00477-022-02292-1 [PDF]

24. Roshani, Sajjad H, Rahaman MH, Rehman S, Masroor M, Ahmed R (2023) Assessing forest health using remote sensing-based indicators and fuzzy analytic hierarchy process in Valmiki Tiger Reserve, India. International Journal of Environmental Science and Technology. https://doi.org/10.1007/s13762-022-04512-1 [PDF]

––––––––––––– 2022 –––––––––––––

25. Roshani, Rahaman MH, Masroor, Rehman S, Sajjad H (2022) Indicator-Based Inherent Forest Vulnerability Using Multicriteria Decision-Making Analysis in the Darjeeling District of West Bengal. In: Towards Sustainable Natural Resources. Springer International Publishing, Cham, pp 51–67. https://dx.doi.org/10.1007/978-3-031-06443-2_4 [PDF]

26. Roshani, Sajjad H, Kumar P, Masroor M, Rahaman MH, Rehman S, Ahmed R, Sahana M (2022) Forest Vulnerability to Climate Change: A Review for Future Research Framework. Forests 13:917. https://doi.org/10.3390/f13060917 [PDF]

27. Masroor M, Sajjad H, Rehman S, Singh R, Rahaman MH, Sahana M, Ahmed R, Avtar R (2022) Analysing the relationship between drought and soil erosion using vegetation health index and RUSLE models in Godavari middle sub-basin, India. Geoscience Frontiers 13:101312. https://doi.org/10.1016/j.gsf.2021.101312 [PDF]

28. Rehman S, Hasan MSU, Rai AK, Rahaman MH, Avtar R, Sajjad H (2022) Integrated approach for spatial flood susceptibility assessment in Bhagirathi sub‐basin, India using entropy information theory and geospatial technology. Risk Analysis 42:2765–2780. https://doi.org/10.1111/risa.13887 [PDF]

29. Rehman S, Sajjad H, Masroor M, Rahaman MH, Roshani, Ahmed R, Sahana M (2022) Assessment of evidence-based climate variability in Bhagirathi sub-basin of India: a geostatistical analysis. Acta Geophysica 70:445–463. https://doi.org/10.1007/s11600-022-00726-6 [PDF]

30. Roshani, Sajjad H, Saha TK, Rahaman MH, Masroor M, Sharma Y, Pal S (2022) Analyzing trend and forecast of rainfall and temperature in Valmiki Tiger Reserve, India, using non-parametric test and random forest machine learning algorithm. Acta Geophysica 71:531–552. https://doi.org/10.1007/s11600-022-00978-2 [PDF]

––––––––––––– 2021 –––––––––––––

31. Rahaman MH, Rehman S, Ahmed R, Sajjad H (2021) Exploring Carrying Capacity of Water and its Potential Sources in Imphal City, Manipur. In: Jamal S, Singh AL (eds) Water Supply for the Urban Poor in Indian Cities: Issues and Challenges, First. B.R. Publishing Corporation, New Delhi, pp 232–254 [PDF]

32. Masroor M, Rehman S, Sajjad H, Rahaman MH, Sahana M, Ahmed R, Singh R (2021) Assessing the impact of drought conditions on groundwater potential in Godavari Middle Sub-Basin, India using analytical hierarchy process and random forest machine learning algorithm. Groundwater for Sustainable Development 13:100554. https://doi.org/10.1016/j.gsd.2021.100554 [PDF]

Have anything to share or discuss? :) Feel free to leave your comment below!