Evaluation of sustainability of river Krishna under present and future climate scenarios

Chanapathi, Tirupathi and Thatikonda, Shashidhar (2020) Evaluation of sustainability of river Krishna under present and future climate scenarios. Science of The Total Environment, 738. p. 140322. ISSN 00489697

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The rise in greenhouse gases, carbon dioxide concentrations in the atmosphere, along with the warmer climate and Land Use/Land Cover (LULC) changes may have a significant impact on water resources of the local hydrological regime. Hence, it is essential to assess the river basin response to corresponding changes to providing a reliable, resilient, sustainable management system in future. So, the present study focuses on providing a robust framework to evaluate sustainability of river Krishna under future climate scenarios. A novel framework was developed with the help of Bayesian Networks (BNs) known as the River Sustainability Bayesian Network (RSBN) model. It contains twenty-one parameters, which covers socio-economic and environmental dimensions of sustainability. In these twenty-one parameters, ten parameters are root (independent) nodes, and the other eleven parameters were child nodes of these root nodes. The proposed RSBN model offers a unique combination of parameters, which includes various aspects of river basin such as water quality, quantity, climatic conditions, and LULC changes along with ecological management in the basin. The parameters used are flexible enough to modify based on user requirements. Under the Representative Concentration Pathway (RCP) 8.5 scenario, the model shows basin progress towards medium sustainability from mid-century onwards, whereas there is no significant change in river sustainability under the RCP 4.5 scenario. The sustainability of the basin is expected to be highly sensitive to extreme events followed by changes to water stress, environmental flow. The present model framework may help policymakers and water managers for sustainable planning and management of water resources of the basin.

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IITH Creators:
IITH CreatorsORCiD
Chanapathi, TirupathiUNSPECIFIED
Thatikonda, Shashidharhttps://orcid.org/0000-0003-2973-2224
Item Type: Article
Uncontrolled Keywords: Article; Bayesian network; climate; environmental decision making; environmental factor; environmental management; environmental monitoring; environmental parameters; environmental planning; environmental sustainability; geography; India; physical chemistry; priority journal; river; River Sustainability Bayesian Network; water quality; water stress
Subjects: Civil Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 22 Jul 2021 11:37
Last Modified: 22 Jul 2021 11:37
URI: http://raiith.iith.ac.in/id/eprint/8478
Publisher URL: http://doi.org/10.1016/j.scitotenv.2020.140322
OA policy: https://v2.sherpa.ac.uk/id/publication/15487
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