J river remote

17–25.Article Google Scholar Grunwald, S., & Qi, C. (2006). GIS-based water quality modelling in the Sandusky watershed, Ohio, USA. JAWRA Journal of the American Water Resources Association, 42(4), 957–973.Article CAS Google Scholar Guéguen, C., Guo, L., & Tanaka, N. (2005). Distributions and characteristics of colored dissolved organic matter in the Western Arctic Ocean. Continental Shelf Research, 25(10), 1195–1207.Article Google Scholar Guo, H., Huang, J. J., Chen, B., Guo, X., & Singh, V. P. (2021). A machine learning-based strategy for estimating nonoptically active water quality parameters using Sentinel-2 imagery. International Journal of Remote Sensing, 42(5), 1841–1866.Article Google Scholar Gupta, N., Aktaruzzaman, M., & Wang, C. (2012). GIS-based assessment and Management of Nitrogen and Phosphorus in Rönneå River Catchment, Sweden. Journal of the Indian Society of Remote Sensing, 40(3), 457–466. Google Scholar Gurlin, D., Gitelson, A. A., & Moses, W. J. (2011). Remote estimation of chl-a concentration in turbid productive waters—Return to a simple two-band NIR-red model? Remote Sensing of Environment, 115(12), 3479–3490.Article Google Scholar Hameed, H. (2010). GIS as a tool for classification Lake’s acidification-and eutrophication degree. Mesopotamian Journal of Marine Science, 25(1), 53–64.Article Google Scholar Hiscock, J. G., Thourot, C. S., & Zhang, J. (2003). Phosphorus budget – Land use relationships for the northern Lake Okeechobee watershed, Florida. Ecological Engineering, 21(1), 63–74. Google Scholar Howartw, R. W., Billen, G., Swaney, D., & Townsend, A. (1996). Regional nitrogen budgets and riverine N and P fluxes for the drainages to the North Atlantic Ocean: Natural and human influences. Biogeochemistry, 35(1), 75–139.Article Google Scholar Hu, C., Muller-karger, F. E., Judd, C., Carder, K. L., Kelble, C., Johns, E., & Heil, C. A. (2005). Red tide detection and tracing using MODIS fluorescence data: A regional example in SW Florida coastal waters. Remote Sensing of Environment, 97, 311–321. Google Scholar Izadi, M., Sultan, M., El Kadiri, R., Ghannadi, A., & Abdelmohsen, K. (2021). A remote sensing and machine learning-based approach to forecast the onset of harmful algal bloom. Remote Sensing, 13(19). A. J., Barreteau, O., Hunt, R. J., Rinaudo, J. D., & Ross, A. (2016). Integrated groundwater management: Concepts, approaches and challenges. Integrated Groundwater Management: Concepts, Approaches and Challenges, 1–762. M. A., & Jha, M. K. (2022). A novel GIS-based modelling approach for evaluating aquifer susceptibility to anthropogenic contamination. Sustainability, 14(8), 4538.Article CAS Google Scholar Jeong, S., Yeon, K., Hur, Y., & Oh, K. (2010). Salinity intrusion characteristics analysis using EFDC model in the downstream of Geum River. Journal of Environmental Sciences, 22(6), 934–939. Google Scholar Karul, C., Soyupak, S., Çilesiz, A. F., Akbay, N., & Germen, E. (2000). Case studies on the use of neural networks in eutrophication modelling. Ecological Modelling, 134(2–3), 145–152. CAS Google Scholar KC, A., Chalise, A., Parajuli, D., Dhital, N., Shrestha, S., & Kandel, T. (2019). Surface water quality assessment using remote sensing, GIS and artificial intelligence. Technical Journal, 1(1), 113–122.Article Google Scholar Kurup, R. G., Hamilton, D. P., & Phillips, R. L. (2000). Comparison of two 2-dimensional, laterally averaged hydrodynamic model applications to the Swan River Estuary. Mathematics and

And water pollutants in mining area. Environmental Science and Pollution Research, 29(21), 31486–31500. CAS Google Scholar Seo, D., Kim, M., & Ahn, J. H. (2012). Prediction of chlorophyll-a changes due to weir constructions in the Nakdong River using EFDC-WASP modelling. Environmental Engineering Research, 17(2), 95–102.Article Google Scholar Shabani, A., Woznicki, S. A., Mehaffey, M., Butcher, J., Wool, T. A., & Whung, P. Y. (2021). A coupled hydrodynamic (HEC-RAS 2D) and water quality model (WASP) for simulating flood-induced soil, sediment, and contaminant transport. Journal of Flood Risk Management, 14(4). Y., & Zhu, D. Z. (2001). Techniques for controlling total suspended solids in stormwater runoff. Canadian Water Resources Journal, 26(3), 359–375.Article Google Scholar Shen, L., Xu, H., & Guo, X. (2012). Satellite remote sensing of harmful algal blooms (HABs) and a potential synthesized framework. Sensors (Switzerland), 12(6), 7778–7803. CAS Google Scholar Sheng, Z. (2013). Impacts of groundwater pumping and climate variability on groundwater availability in the Rio Grande Basin. Ecosphere, 4(1), 1–25. Google Scholar Singh, S. K., Srivastava, P. K., Pandey, A. C., & Gautam, S. K. (2013). Integrated assessment of groundwater influenced by a Confluence River system: Concurrence with remote sensing and geochemical modelling. Water Resources Management, 27(12), 4291–4313. Google Scholar Skogen, M. D., Svendsen, E., Berntsen, J., Aksnes, D., & Ulvestad, K. B. (1995). Modelling the primary production in the North Sea using a coupled three-dimensional physical-chemical-biological ocean model. Estuarine, Coastal and Shelf Science, 41(5), 545–565. CAS Google Scholar Slonecker, E. T., Jones, D. K., & Pellerin, B. A. (2016). The new Landsat 8 potential for remote sensing of colored dissolved organic matter (CDOM). Marine Pollution Bulletin, 107(2), 518–527.Article CAS Google Scholar Stigter, T. Y., Ribeiro, L., & Carvalho Dill, A. M. M. (2006). Application of a groundwater quality index as an assessment and communication tool in agro-environmental policies – Two Portuguese case studies. Journal of Hydrology, 327(3–4), 578–591. Google Scholar Stumpf, R. P., Culver, M. E., Tester, P. A., Tomlinson, M., Kirkpatrick, G. J., Pederson, B. A., Truby, E., Ransibrahmanakul, V., & Soracco, M. (2003). Monitoring Karenia brevis blooms in the Gulf of Mexico using satellite ocean color imagery and other data. Harmful Algae, 2(October 2001), 147–160.Article CAS Google Scholar Stumpf, R. P., & Tomlinson, M. C. (2005). Use of remote sensing in monitoring and forecasting of harmful algal blooms. Remote Sensing of the Coastal Oceanic Environment, 5885, 58850I. Google Scholar Tamene, L., Park, S. J., Dikau, R., & Vlek, P. L. G. (2006). Reservoir siltation in the semi-arid highlands of northern Ethiopia: Sediment yield–catchment area relationship and a semi-quantitative approach for predicting sediment yield. Earth Surface Processes and Landforms: The Journal of the British Geomorphological Research Group, 31(11), 1364–1383.Article Google Scholar Tang, D. L., Kawamura, H., Hai, D. N., & Takahashi, W. (2004). Remote sensing oceanography of a harmful algal bloom off the coast of southeastern Vietnam. Journal of Geophysical Research: Oceans, 109(3), 1–7. Google Scholar Tiwari, S., Babbar, R., & Kaur, G. (2018). Performance evaluation of two ANFIS models for predicting water quality index of River Satluj

(an Analytical Review); Asia Disaster Reduction Center: Kobe, Japan, 2009; p. 23. [Google Scholar]Ali, S.; Cheema, M.J.M.; Waqas, M.M.; Waseem, M.; Leta, M.K.; Qamar, M.U.; Awan, U.K.; Bilal, M.; Rahman, M.H.U. Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to Management. Remote Sens. 2021, 13, 3916. [Google Scholar] [CrossRef]El Gayar, A.; Hamed, Y. Climate change and water resources management in Arab countries. In Proceedings of the Euro-Mediterranean Conference for Environmental Integration, Sousse, Tunisia, 20–25 November 2017; pp. 89–91. [Google Scholar]Abdullah, M.; Al-Ansari, N.; Adamo, N.; Sissakian, V.K.; Laue, J. Floods and Flood Protection in Mesopotamia. J. Earth Sci. Geotech. Eng. 2020, 10, 155–173. [Google Scholar]Besser, H.; Hamed, Y. Environmental impacts of land management on the sustainability of natural resources in Oriental Erg Tunisia, North Africa. Environ. Dev. Sustain. 2021, 23, 11677–11705. [Google Scholar] [CrossRef]Hamdan, A.N.A.; Almuktar, S.; Scholz, M. Rainfall-Runoff Modeling Using the HEC-HMS Model for the Al-Adhaim River Catchment, Northern Iraq. Hydrology 2021, 8, 58. [Google Scholar] [CrossRef]Zin, W.W.; Kawasaki, A.; Takeuchi, W.; San, Z.M.L.T.; Htun, K.Z.; Aye, T.H.; Win, S. Flood hazard assessment of Bago River Basin, Myanmar. J. Disaster Res. 2018, 13, 14–21. [Google Scholar]Ameera, M.A. Hydraulic Model Development using HEC-RAS and Determination of Manning Roughness Value for Shatt Al-Rumaith. Muthanna J. Eng. Technol. 2016, 4, 9–13. [Google Scholar]Marina, I.; Oana, E.C. The Use Of HEC–RAS Modeling in Flood Risk Analysis; Carol I, No. 20; Alexandru Ioan Cuza" University, Faculty of Geography: Iași, Romania, 2015; pp. 315–322. Available online: (accessed on

Scholar]Abdelkarim, A. The effect of spatial changes of urban growth and land uses on increasing the risk of floods in the city of Saudi Arabia: A case study of the city of Hail using geographic information systems (GIS) and remote sensing (RS). Arab. J. Geogr. Inf. Syst. 2013, 6, 1–103. [Google Scholar]El Adlouni, S.; Bobée, B. Hydrological Frequency Analysis Using HYFRAN-PLUS Software. 2015, pp. 1–71. Available online: (accessed on 5 June 2022).Environmental Modeling Research Laboratory of Brigham Young University. Watershed Modeling System (WMS) v 8.1: Tutorials; Environmental Modeling Research Laboratory of Brigham Young University: Provo, UT, USA, 2004. [Google Scholar]Matthew, J.F. Hydrologic Modeling System HEC-HMS, Quick Start Guide; U.S Army Corps of Engineers, Hydrologic Engineering Center (HEC): St. Davis, CA, USA, 2013; Volume 4, 50p. [Google Scholar]Feldman, A.D. Hydrologic Modeling System HEC-HMS; Hydrologic Engineering Center (HEC): St. Davis, CA, USA, 2008; 155p. [Google Scholar]US Army Corps of Engineers (USACE). River Analysis System HEC-RAS: Applications Guide; Hydrologic Engineering Center (HEC): St. Davis, CA, USA, 2010. [Google Scholar]Dragan, V.K.; Ivana, B.I.; Dejan, M.C.; Gordana, O.M. The initial analysis of the river Ibar temperature downstream of the lake gazivode. Therm. Sci. 2014, 18, 73–80. [Google Scholar]Sunil, K.; Sayali, K.; Vrushali, B.; Akshada, W. Flood modeling of river godavari using hec-ras. Int. J. Res. Eng. Technol. 2014, 3, 81–87. [Google Scholar]Raymond, D.; Soussou, S.; Seidou, K.; Issa, L.; Samo, D.; Mousse, L.; Didier, M. Calibration of HEC-RAS Model for One Dimensional Steady Flow Analysis - A Case of Senegal River Estuary Downstream Diama Dam.