2018
DOI: 10.1016/j.scitotenv.2018.03.038
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Restoring water quality in the polluted Turag-Tongi-Balu river system, Dhaka: Modelling nutrient and total coliform intervention strategies

Abstract: River water quality in rapidly urbanising Asian cities threatens to damage the resource base on which human health, economic growth and poverty reduction all depend. Dhaka reflects the challenges and opportunities for balancing these dynamic and complex trade-offs which goals can be achieved through effective policy interventions. There is a serious problem of water pollution in central Dhaka, in the Turag-Tongi-Balu River system in Bangladesh with the river system being one of the most polluted in the world a… Show more

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Cited by 62 publications
(41 citation statements)
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“…DO values follow the same trend found for COD; the worst levels of DO were found between P5 and P12 at around 3 mg/L. Low levels of DO can cause anoxic zones in the river and this stimulates microorganisms such as sulfate-reducing bacteria that release noxious gases such as hydrogen sulfide, or methanogenic bacteria that release methane gases; one of the most potent greenhouse gases [18].…”
Section: Water Quality In the Apatlaco Riversupporting
confidence: 63%
“…DO values follow the same trend found for COD; the worst levels of DO were found between P5 and P12 at around 3 mg/L. Low levels of DO can cause anoxic zones in the river and this stimulates microorganisms such as sulfate-reducing bacteria that release noxious gases such as hydrogen sulfide, or methanogenic bacteria that release methane gases; one of the most potent greenhouse gases [18].…”
Section: Water Quality In the Apatlaco Riversupporting
confidence: 63%
“…Numerical model calibration and validation processes are important steps when performing estuarine modeling studies. Given the complexity of these models and the frequent data limitations (e.g., lack of continuous in situ data), it is rare to find studies performing both processes simultaneously, as recognized by Whitehead et al [65] and Tomic et al [66]. By these reasons, a large number of modeling studies perform only one of these processes (e.g., [67][68][69][70]), or alternatively perform both processes for a very limited period or even solely based on seasonal data ( [71][72][73][74][75][76][77][78]).…”
Section: Model Calibration and Validationmentioning
confidence: 99%
“…Total coliforms are a group of bacteria commonly found in aquatic environments produced from human fecal waste, animal feces and domestic waste (Messner et al, 2017;Whitehead et al, 2018;Frena et al, 2019). The nature of this bacterium has no taste, smell or color so laboratory analysis must be carried out and the result can be used as a microbiological indicator of a body of water measured in units of quantities mL (Divya and Solomon, 2016;Xue et al, 2018).…”
Section: Water Qualitymentioning
confidence: 99%