International Journal of
Water Resources and Environmental Engineering

  • Abbreviation: Int. J. Water Res. Environ. Eng.
  • Language: English
  • ISSN: 2141-6613
  • DOI: 10.5897/IJWREE
  • Start Year: 2009
  • Published Articles: 337

Review

Current methodologies and algorithms used to identify and quantify pollutants in sub-basins: A review

Noluthando Kheswa
  • Noluthando Kheswa
  • Department of Earth Sciences, Faculty of Natural Sciences,University of the Western Cape, Bellville, 7535, South Africa.
  • Google Scholar
Rimuka Bloodless Dzwairo
  • Rimuka Bloodless Dzwairo
  • Department of Civil Engineering, Faculty of Natural Sciences, Durban University of Technology, Midlands, Imbali, 3209, South Africa.
  • Google Scholar
Thokozani Kanyerere
  • Thokozani Kanyerere
  • Department of Earth Sciences, Faculty of Natural Sciences,University of the Western Cape, Bellville, 7535, South Africa.
  • Google Scholar
Sudhir Kumar Singh
  • Sudhir Kumar Singh
  • K. Banerjee Centre of Atmospheric and Ocean Studies, IIDS, Nehru Center, University of Allahabad, Prayagraj-211002 (U.P.), India.
  • Google Scholar


  •  Received: 28 February 2020
  •  Accepted: 22 April 2021
  •  Published: 31 May 2021

References

Aldhyani TH, Al-Yaari M, Alkahtani H, Maashi M (2020). Water Quality Prediction Using Artificial Intelligence Algorithms. Applied Bionics and Biomechanics, 2020.
Crossref

 

Alizadeh MJ, Kavianpour MR (2015). Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean. Marine Pollution Bulletin 98(1-2):171-178.
Crossref

 

Almuktar S, Hamdan ANA, Scholz M (2020). Assessment of the effluents of Basra City main water treatment plants for drinking and irrigation purposes. Water 12(12):3334.
Crossref

 

Anderson MC, Allen RG, Morse A, Kustas WP (2012). Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources. Remote Sensing of Environment 122:50-65.
Crossref

 

Bartram J, Balance R (1996). Water quality monitoring-A Practical guide to the design and implementation of freshwater. Quality Studies and Monitoring Programmes, United Nations Environment Programme and the World Health Organization (UNEP/WHO).

 

Behmel S, Damour M, Ludwig R, Rodriguez M (2016). Water quality monitoring strategies-A review and future perspectives. Science of the Total Environment 571:1312-1329.
Crossref

 

Biswas AK, Tortajada C (2011). Water quality management: An introductory framework. International Journal of Water Resources Development 27(1):5-11.
Crossref

 

Cairns Jr J (1971). Thermal pollution: a cause for concern. Journal (Water Pollution Control Federation) pp. 55-66.

 

Caissie D. (2006). The thermal regime of rivers: a review. Freshwater Biology 51(8):1389-1406.
Crossref

 

Carolita I, Trisakti B, Noviar H (2013). Environmental quality changes of singkarak water catchment area using remote sensing data. International Journal of Remote Sensing and Earth Sciences 10(2).
Crossref

 

Chang NB, Imen S, Vannah B (2015). Remote sensing for monitoring surface water quality status and ecosystem state in relation to the nutrient cycle: a 40-year perspective. Critical Reviews in Environmental Science and Technology 45(2):101-166.
Crossref

 

Chawla I, Karthikeyan L, Mishra AK (2020). A review of remote sensing applications for water security: Quantity, quality, and extremes. Journal of Hydrology 585:124826.
Crossref

 

Chen C, Shi P, Mao Q (2003). Application of remote sensing techniques for monitoring the thermal pollution of cooling-water discharge from nuclear power plant. Journal of Environmental Science and Health Part A 38(8):1659-1668.
Crossref

 

Cid FD, Antón RI, Pardo R, Vega M, Caviedes-Vidal E (2011). Modelling spatial and temporal variations in the water quality of an artificial water reservoir in the semiarid Midwest of Argentina. Analytica Chimica Acta 705(1-2):243-252.
Crossref

 

Curran P, Novo E (1988). The relationship between suspended sediment concentration and remotely sensed spectral radiance: a review. Journal of Coastal Research pp. 351-368.

 

de Paul Obade V, Moore R (2018). Synthesizing water quality indicators from standardized geospatial information to remedy water security challenges: a review. Environment international 119:220-231.
Crossref

 

Department of Environmental Affairs and Development (DEAP) (2011). Management (IWRM) Action Plan: Status Quo Report Final Draft, Western Cape Integrated Water Resource. Provincial Government, Department of Environmental Affairs and Development Planning, South Africa.

 

Du J, Shen J (2015). Decoupling the influence of biological and physical processes on the dissolved oxygen in the Chesapeake Bay. Journal of Geophysical Research: Oceans 120(1):78-93.
Crossref

 

El-Rawy M, Fathi H, Abdalla F (2019). Integration of remote sensing data and in situ measurements to monitor the water quality of the Ismailia Canal, Nile Delta, Egypt. Environmental Geochemistry and Health pp. 1-20.
Crossref

 

Georgakakos AP (n.d.). A Decision Support System for Integrated Water Resources Planning and Management in the Nile Basin.

 

Gholizadeh MH, Melesse AM, Reddi L. (2016). A comprehensive review on water quality parameters estimation using remote sensing techniques. Sensors 16(8):1298.
Crossref

 

Giardino C, Bresciani M, Villa P, Martinelli A (2010). Application of remote sensing in water resource management: the case study of Lake Trasimeno, Italy. Water Resources Management 24(14):3885-3899.
Crossref

 

Gitas IZ, Mitri GH, Ventura G (2004). Object-based image classification for burned area mapping of Creus Cape, Spain, using NOAA-AVHRR imagery. Remote Sensing of Environment 92(3):409-413.
Crossref

 

Giupponi C, Giove S, Giannini V (2013). A dynamic assessment tool for exploring and communicating vulnerability to floods and climate change. Environmental Modeling and Software 44:136-147.
Crossref

 

Glasgow HB, Burkholder JM, Reed RE, Lewitus AJ, Kleinman JE (2004). Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry, and computing technologies. Journal of Experimental Marine Biology and Ecology 300(1-2):409-448.
Crossref

 

Gleick PH (2000). A look at twenty-first century water resources development. Water International 25(1):127-138.
Crossref

 

Gorde S, Jadhav M (2013). Assessment of water quality parameters: a review. J Eng Res Appl 3(6):2029-2035.

 

Govindaraju RS. (2000). Artificial neural networks in hydrology. II: hydrologic applications. Journal of Hydrologic Engineering 5(2):124-137.
Crossref

 

Greenfield R (2019). An assessment of the impacts of municipal wastewater from the Lydenburg wastewater treatment works, Mpumalanga, South Africa.

 

Han L, Jordan KJ (2005). Estimating and mapping chlorophyll?a concentration in Pensacola Bay, Florida using Landsat ETM+ data. International Journal of Remote Sensing 26(23):5245-5254.
Crossref

 

Handcock R, Gillespie A, Cherkauer K, Kay J, Burges S, Kampf S (2006). Accuracy and uncertainty of thermal-infrared remote sensing of stream temperatures at multiple spatial scales. Remote Sensing of Environment 100(4):427-440.
Crossref

 

Harding Jr L, Perry E (1997). Long-term increase of phytoplankton biomass in Chesapeake Bay, 1950-1994. Marine Ecology Progress Series 157:39-52.
Crossref

 

Herrera V (2019). Reconciling global aspirations and local realities: Challenges facing the Sustainable Development Goals for water and sanitation. World Development 118:106-117.
Crossref

 

Hirave P, Glendell M, Birkholz A, Alewell C (2021). Compound-specific isotope analysis with nested sampling approach detects spatial and temporal variability in the sources of suspended sediments in a Scottish mesoscale catchment. Science of the Total Environment 755:142916.
Crossref

 

Hossain MD, Chen D (2019). Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective. ISPRS Journal of Photogrammetry and Remote Sensing 150:115-134.
Crossref

 

Igbinosa E, Okoh A (2009). Impact of discharge wastewater effluents on the physico-chemical qualities of a receiving watershed in a typical water radiance and suspended sediment concentration using digital rural community. International Journal of Environmental Science and Technology 6(2):175-182.
Crossref

 

Iriarte Ahon F (1996). Satellite applications as an ocean and coastal zone management tool: three cases studies.

 

Kabir SMI, Ahmari H (2020). Evaluating the effect of sediment color on imagery. Journal of Hydrology 589:125189.
Crossref

 

Kapalanga TS, Hoko Z, Gumindoga W, Chikwiramakomo L (2020). Remote sensing-based algorithms for water quality monitoring in Olushandja Dam, north-Central Namibia. Water Supply.
Crossref

 

Krenkel P. (2012). Water quality management: Elsevier.

 

Kutser T (2004). Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing. Limnology and Oceanography 49(6):2179-2189.
Crossref

 

Kuwayama Y, Olmstead SM, Wietelman DC, Zheng J (2020). Trends in nutrient-related pollution as a source of potential water quality damages: A case study of Texas, USA. Science of the Total Environment 724:137962.
Crossref

 

Ling F, Foody GM, Du H, Ban X, Li X, Zhang Y, Du Y (2017). Monitoring thermal pollution in rivers downstream of dams with Landsat ETM+ thermal infrared images. Remote Sensing 9(11):1175.
Crossref

 

Luo Y, Ficklin DL, Liu X, Zhang M (2013). Assessment of climate change impacts on hydrology and water quality with a watershed modeling approach. Science of the Total Environment 450:72-82.
Crossref

 

Maier HR, Dandy GC (2000). Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications. Environmental Modelling and Software 15(1):101-124.
Crossref

 

Mertes LA, Smith MO, Adams JB (1993). Estimating suspended sediment concentrations in surface waters of the Amazon River wetlands from Landsat images. Remote sensing of Environment 43(3):281-301.
Crossref

 

Miller W, Rango A (1984). Using heat capacity mapping mission (hcmm) data to assess lake water quality 1. Journal of the American Water Resources Association 20(4)493-501.
Crossref

 

Moridi A. (2019). Dealing with reservoir eutrophication in a trans-boundary river. International Journal of Environmental Science and Technology 16(7):2951-2960.
Crossref

 

Najah A, El-Shafie A, Karim OA, El-Shafie AH (2013). Application of artificial neural networks for water quality prediction. Neural Computing and Applications 22(1):187-201.
Crossref

 

Novotny V, Chesters G. (1989). Delivery of sediment and pollutants from nonpoint sources: a water quality perspective. Journal of Soil and Water Conservation 44(6):568-576.

 

Oliver S, Corburn J, Ribeiro H (2019). Challenges regarding water quality of eutrophic reservoirs in urban landscapes: a mapping literature review. International Journal of Environmental Research and Public Health 16(1):40.
Crossref

 

Olmanson LG, Brezonik PL, Bauer ME (2015). Remote sensing for regional lake water quality assessment: capabilities and limitations of current and upcoming satellite systems. In Advances in watershed science and assessment: Springer pp. 111-140
Crossref

 

Osibanjo O, Daso AP, Gbadebo AM (2011). The impact of industries on surface water quality of River Ona and River Alaro in Oluyole Industrial Estate, Ibadan, Nigeria. African Journal of Biotechnology 10(4):696-702.

 

Ouma YO, Okuku CO, Njau EN (2020). Use of artificial neural networks and multiple linear regression model for the prediction of dissolved oxygen in rivers: case study of hydrographic basin of River Nyando, Kenya. Complexity, 2020.
Crossref

 

Oxford M (1976). Remote sensing of suspended sediments in surface waters. Photogramm. Eng. Remote Sens 42:1539-1545.

 

Palmer SC, Kutser T, Hunter PD (2015). Remote sensing of inland waters: Challenges, progress and future directions. In: Elsevier.
Crossref

 

Pierson DC, Strömbeck N (2000). A modelling approach to evaluate preliminary remote sensing algorithms: Use of water quality data from Swedish Great Lakes. Geophysica 36(1-2):177-202.

 

Politi E, Cutler ME, Rowan JS. (2012). Using the NOAA Advanced Very High Resolution Radiometer to characterise temporal and spatial trends in water temperature of large European lakes. Remote Sensing of Environment 126:1-11.
Crossref

 

Rawat KS, Singh SK, Gautam SK (2018). Assessment of groundwater quality for irrigation use: a peninsular case study. Applied Water Science 8(8):1-24.
Crossref

 

Ritchie JC, Schiebe FR (2000). Water quality. In Remote sensing in hydrology and water management (pp. 287-303): Springer.
Crossref

 

Ritchie JC, Zimba PV (2006). Estimation of suspended sediment and algae in water bodies. Encyclopedia of hydrological sciences.
Crossref

 

Ritchie JC, Cooper CM, Schiebe FR (1990). The relationship of MSS and TM digital data with suspended sediments, chlorophyll, and temperature in Moon Lake, Mississippi. Remote Sensing of Environment 33(2):137-148.
Crossref

 

Ritchie JC, Cooper CM, Yongqing J (1987). Using Landsat multispectral scanner data to estimate suspended sediments in Moon Lake, Mississippi. Remote sensing of Environment 23(1):65-81.
Crossref

 

Ritchie JC, Zimba PV, Everitt JH (2003). Remote sensing techniques to assess water quality. Photogrammetric Engineering and Remote Sensing 69(6):695-704.
Crossref

 

Schiebe F, Harrington Jr J, Ritchie J (1992). Remote sensing of suspended sediments: the Lake Chicot, Arkansas project. International Journal of Remote Sensing 13(8):1487-1509.
Crossref

 

Schmugge TJ, Kustas WP, Ritchie JC, Jackson TJ, Rango A (2002). Remote sensing in hydrology. Advances in Water Resources 25(8-12):1367-1385.
Crossref

 

Scott G, Rajabifard A (2017). Sustainable development and geospatial information: a strategic framework for integrating a global policy agenda into national geospatial capabilities. Geo-spatial information science 20(2):59-76.
Crossref

 

Sentlinger GI, Hook SJ, Laval B (2008). Sub-pixel water temperature estimation from thermal-infrared imagery using vectorized lake features. Remote sensing of Environment 112(4):1678-1688.
Crossref

 

Sheffield J, Wood EF, Pan M, Beck H, Coccia G, Serrat?Capdevila A, Verbist K (2018). Satellite remote sensing for water resources management: Potential for supporting sustainable development in data?poor regions. Water Resources Research 54(12):9724-9758.
Crossref

 

Tavora J, Boss E, Doxaran D, Hill P (2020). An algorithm to estimate suspended particulate matter concentrations and associated uncertainties from remote sensing reflectance in coastal environments. Remote Sensing 12(13):2172.
Crossref

 

Wen X, Fang J, Diao M, Zhang C (2013). Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China. Environmental Monitoring and Assessment 185(5):4361-4371.
Crossref

 

Whitehead PG, Wilby RL, Battarbee RW, Kernan M, Wade AJ (2009). A review of the potential impacts of climate change on surface water quality. Hydrological Sciences Journal 54(1):101-123.
Crossref

 

Wilber DH, Clarke DG (2001). Biological effects of suspended sediments: a review of suspended sediment impacts on fish and shellfish with relation to dredging activities in estuaries. North American Journal of Fisheries Management 21(4):855-875.
Crossref

 

Wulder MA, Loveland TR, Roy DP, Crawford CJ, Masek JG, Woodcock CE, Cohen WB (2019). Current status of Landsat program, science, and applications. Remote Sensing of Environment 225, 127-147.
Crossref

 

Yepez S, Laraque A, Martinez JM, De Sa J, Carrera JM, Castellanos B, Lopez JL (2018). Retrieval of suspended sediment concentrations using Landsat-8 OLI satellite images in the Orinoco River (Venezuela). Comptes Rendus Geoscience 350(1-2):20-30.
Crossref