Monitoring and Processing of Data for Effective Wasteload Allocation Modeling in India

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Abstract

Many rivers, especially in developing countries are getting polluted because of increased waste load emanating from industrial and urban sectors. Although many pollution abatement efforts have been taken up but no comprehensive effluent standards based on waste load allocation modeling (WLA) have been developed and implemented to control the river pollution. This chapter presents the overview of this method and the related impediments such as data collection, processing and its use to facilitate WLA modeling in India. It begins with the concept and components of waste load allocation modeling. The data required to carry out WLA modeling using QUAL2E simulation tool is also discussed. Finally it concludes with an emphasis on the need for a coordinated effort involving the policy makers, scientists, engineers and the academia. It is opined that incorporating the requisite data collection and processing in routine functioning by government agencies will pave the way for developing robust WLA models and facilitate state of the art research in this field. This eventually would lead us towards development of realistic pollution control management plans for the ailing rivers.

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Parmar, D., & Keshari, A. K. (2020). Monitoring and Processing of Data for Effective Wasteload Allocation Modeling in India. In Energy, Environment, and Sustainability (pp. 357–373). Springer Nature. https://doi.org/10.1007/978-981-15-0540-9_17

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