Page 99 - AJWEP-22-5
P. 99
Evaluation of riverbank water suitability
grand canal’s Huitong river during the Ming and Qing Nagar district, Uttarakhand, India. Adv Space Res. 2025;
dynasties. Sci Rep. 2025;15(1):19838. 75(2):1931-1944.
doi: 10.1038/s41598-025-03436-3 doi: 10.1016/j.asr.2024.10.039
10. Quoc HA, Hoang TK, Thi VYH, et al. Comprehensive 20. Mahabadi SA, Delavar M. Evaluation and comparison
investigation of polycyclic aromatic hydrocarbons of different methods for determining the contribution of
in multiple water types from Hanoi, Vietnam: climatic factors and direct human interventions in reducing
Contamination characteristics, influencing factors, and watershed discharge. Ecol Indic. 2024;158:111480.
ecological risks. Environ Toxicol Chem. 2025. doi: 10.1016/j.ecolind.2023.111480
doi: 10.1093/etojnl/vgaf142 21. Gidafie D, Nedaw D, Azagegn T, Abebe B, Baba, A.
11. Yuan W, Wang H, Guo W. Supply-demand synergy Estimating groundwater recharge through multiple
assessment of the water-energy-food nexus in the methods: Southern sections of the Western afar rift
Hanjiang river basin under future land scenarios. margin and associated rift floor. Environ Earth Sci.
Ecohydrology. 2025;18(1):e2762. 2025;84(1):32.
doi: 10.1002/eco.2762 doi: 10.1007/s12665-024-11999-z
12. Rui Z, Minhua C, Xianbo L, et al. Environmental risk 22. Cui G, Su X, Liu Y, Zheng S. Effect of riverbed sediment
assessment of groundwater based on comprehensive flushing and clogging on river-water infiltration rate:
effects of “ecological groundwater level quality source A case study in the second Songhua River, Northeast
area”. Res Environ Sci. 2019;32(8):1275-1283. China. Hydrogeol J. 2021; 29(2):551-565.
doi: 10.13198/j.issn.1001-6929.2019.01.19 doi: 10.1007/s10040-020-02218-7
13. Zahra E, Manish M, Baltrusaitis J, Pallavi D, Mark MW. 23. Zacharie DL, Gaëtan SÉS, Michelle CHM, et al.
Emerging trends in sustainable energy system Suitability of urban river water for irrigation: The
assessments: Integration of machine learning with case of the Houet River in Burkina Faso. Int J Hydrol.
techno-economic analysis and lifecycle assessment. 2022;6(6):243-251.
Sustain Sci Technol. 2025;2:012001. doi: 10.15406/ijh.2022.06.00332
doi: 10.1088/2977-3504/ada77b 24. Jafar R, Awad A, Gbilly A, Mayea Z, Jafar K, Shahrour I.
14. Romano L, Manno A, Rossi F, et al. Statistical models Comprehensive assessment of surface water quality
versus machine learning approach for competing risks in and pollution sources in Al-muzaynah dam lake, Syria:
proctological surgery. Updates Surg. 2025;77(2):333-341. Insights from multivariate statistical analysis. Euro
doi: 10.1007/s13304-025-02109-0 Mediterr J Environ Integr. 2025;10(2):901-915.
15. Otabek S, Choi J. From prediction to profit: doi: 10.1007/s41207-024-00665-2
A comprehensive review of cryptocurrency trading 25. Yang S, Wang R, Zhao W. Characteristics of the water
strategies and price forecasting techniques. IEEE Access. environment and the mechanism of nitrogen metabolism
2024;12:87039-87064. in the Xisha River. Sustainability. 2025;17(9):4060.
doi: 10.1109/ACCESS.2024.3417449 doi: 10.3390/su17094060
16. Maity R, Srivastava A, Sarkar S, Khan MI. 26. Muktadir MG, Billah MM, Samm-A A, et al. Estimation
Revolutionizing the future of hydrological science: of the stability of a river Island and its suitability for
Impact of machine learning and deep learning amidst installing solar based power plant in Bangladesh.
emerging explainable AI and transfer learning. Appl J Geosci Environ Prot. 2024;12(11):51-72.
Comput Geosci. 2024;24:100206. doi: 10.4236/gep.2024.1211004
doi: 10.1016/j.acags.2024.100206 27. Abrar H, Kura AL, Dube EE, Beyene DL. AHP based
17. Zhou W, Zhou Y, Liu R, Yin H, Nie H. Predictive analysis of groundwater potential in the Western
modeling of river blockage severity from debris flows: escarpment of the Ethiopian rift valley. Geol Ecol
Integrating statistical and machine learning approaches Landsc. 2023;7(3):15.
with insights from Sichuan province, china. CATENA. doi: 10.1080/24749508.2021.1952761
2025;248:108576. 28. Pedrero F, Albuquerque A, do Monte HM, Cavaleiro V,
doi: 10.1016/j.catena.2024.108576 Alarcón JJ. Application of GIS-based multi-criteria
18. Pimenta CER, Szeles J, Várbiro G. Water quality analysis for site selection of aquifer recharge
monitoring systems: A comparative evaluation of with reclaimed water. Resour Conserv Recycl.
legislative frameworks European and Brazilian. Environ 2011;56(56):105-116.
Soc Manag J. 2025;19(4):e011505. doi: 10.1016/j.resconrec.2011.08.003
doi: 10.24857/rgsa.v19n4-096 29. Du M, Zhang M, Wang S, et al. Stable isotope ratios
19. Alam M, Chauhan P, Thakural LN, Malviya D, in tap water of a riverside city in a semi-arid climate:
Ahmad R, Sajid M. Identification of groundwater An application to water source determination. Water.
recharge potential zone using geospatial approaches 2019;11(7):1441.
and multi criteria decision models in Udham Singh doi: 10.3390/W11071441
Volume 22 Issue 5 (2025) 93 doi: 10.36922/AJWEP025260208

