Rehana, S and Mujumdar, P P (2012) Climate change induced risk in water quality control problems. In: JOURNAL OF HYDROLOGY, 444 . pp. 63-77.
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A modeling framework is presented in this paper, integrating hydrologic scenarios projected from a General Circulation Model (GCM) with a water quality simulation model to quantify the future expected risk. Statistical downscaling with a Canonical Correlation Analysis (CCA) is carried out to develop the future scenarios of hydro-climate variables starting with simulations provided by a GCM. A Multiple Logistic Regression (MLR) is used to quantify the risk of Low Water Quality (LWQ) corresponding to a threshold quality level, by considering the streamflow and water temperature as explanatory variables. An Imprecise Fuzzy Waste Load Allocation Model (IFWLAM) presented in an earlier study is then used to develop adaptive policies to address the projected water quality risks. Application of the proposed methodology is demonstrated with the case study of Tunga-Bhadra river in India. The results showed that the projected changes in the hydro-climate variables tend to diminish DO levels, thus increasing the future risk levels of LWQ. (C) 2012 Elsevier B.V. All rights reserved.
|Item Type:||Journal Article|
|Additional Information:||Copyright for this article belongs to Elsevier B.V.|
|Keywords:||Climate change;Water quality;Risk of low water quality; Statistical downscaling; Fuzzy optimization|
|Department/Centre:||Division of Mechanical Sciences > Civil Engineering|
|Date Deposited:||14 Jul 2012 08:03|
|Last Modified:||14 Jul 2012 08:03|
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