Department of Civil Engineering

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Author: search.filters.author.Srinivas, RallapalliSubject: search.filters.subject.Decision support systems

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    Water quality assessment of a river basin under fuzzy multi-criteria framework
    (Inder Science, 2015-07) Singh, Ajit Pratap; Srinivas, Rallapalli
    In this paper fuzzy analytical hierarchy process (FAHP) has been developed to evaluate status of water quality at eight selected stations along river Yamuna. A decision support mechanism has been introduced to select and prioritise stations with specific reference to five important beneficial uses namely, domestic, irrigation, aquatic life, industrial, and recreational activities. Various water quality parameters have been considered as criteria to evaluate water quality status at a given station with respect to particular usage. Pairwise comparisons of the criteria and the stations have been performed to assess water quality using linguistic variables. The eight stations chosen for the study in Yamuna basin are Hathnikund, Sonepat, Palla, Nizamuddin-Delhi, Mathura, Agra, Etawah and Allahabad. Analysis of results reveal that first three stations score highest rank with respect to all beneficial uses as they are relatively free from industrial and municipal contamination. However as the water enters Delhi, it gets heavily contaminated mainly due to wastewater discharged from several municipal drains and industrial activities. The prioritisations of stations with respect to designated uses presented herein are helpful to the decision makers and the implementing agencies to formulate suitable strategies for effective and sustainable utilisation of water in the river basin
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    Sustainable management of a river basin by integrating an improved fuzzy based hybridized SWOT model and geo-statistical weighted thematic overlay analysis
    (Elsevier, 2018-08) Srinivas, Rallapalli; Singh, Ajit Pratap
    Sustainable river basin planning and management is a complex and uncertain phenomenon involving social, economic, environmental and several technical criteria. Despite global advancement, the problems associated sustainability have not been sufficiently addressed, due to mismanaged governance, poorly implemented policies, lack of suitable data and over-exploitation of river resources. Therefore, major rivers basins across the globe need an integrative and comprehensive strategic approach considering the diverse stakeholder’s perspective and conflicting criteria pertaining to sustainable management. The present study develops a decision support framework to assess the sustainability by coupling an improved fuzzy based hybridized strength-weakness-opportunities and threats model (FH-SWOT) with a geostatistical approach. To demonstrate the effectiveness of the model Ganges river basin, India has been taken as a case study. The novelty of the study is to devise six different hybrid mechanisms under FH-SWOT framework to reach best possible strategic alternatives along with nominal, optimistic and pessimistic perspectives of the stakeholders. To enhance the model’s productivity, it is coupled with weighted overlay geo-statistical approach to identify/prioritize the most vulnerable/critical locations, which needs suitable implementation of strategic alternatives derived using FH-SWOT model. The FH-SWOT model developed herein simultaneously delineates strategic alternatives and corresponding priority zones, while addressing the uncertainties related to stakeholder’s conflicts and imprecise data to reach optimal, pessimistic and nominal viewpoints, which leads to development of an innovative and comprehensive decision-support framework for assessing sustainability. The key policies derived from the study involve enforcing regulations on disposal of heavy metals, developing hydropower, adaptation of organic farming, education and participation of stakeholders, regulations on dams and barrages with a score of 0.2453, 0.2205, 0.2088, 0.1898, and 0.1288 respectively. Also, Kanpur- Varanasi stretch has been delineated as very high priority zone followed by regions located along the banks of Ganges. Sensitivity analysis proves that the model is robust and can be used by the environment managers towards sustainable planning and management of any river basin, lakes, wetlands or any major water body of the world.
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    Sustainable management of a river basin by integrating an improved fuzzy based hybridized SWOT model and geo-statistical weighted thematic overlay analysis
    (Elsiever, 2018-08) Singh, Ajit Pratap; Srinivas, Rallapalli
    Sustainable river basin planning and management is a complex and uncertain phenomenon involving social, economic, environmental and several technical criteria. Despite global advancement, the problems associated sustainability have not been sufficiently addressed, due to mismanaged governance, poorly implemented policies, lack of suitable data and over-exploitation of river resources. Therefore, major rivers basins across the globe need an integrative and comprehensive strategic approach considering the diverse stakeholder’s perspective and conflicting criteria pertaining to sustainable management. The present study develops a decision support framework to assess the sustainability by coupling an improved fuzzy based hybridized strength-weakness-opportunities and threats model (FH-SWOT) with a geostatistical approach. To demonstrate the effectiveness of the model Ganges river basin, India has been taken as a case study. The novelty of the study is to devise six different hybrid mechanisms under FH-SWOT framework to reach best possible strategic alternatives along with nominal, optimistic and pessimistic perspectives of the stakeholders. To enhance the model’s productivity, it is coupled with weighted overlay geo-statistical approach to identify/prioritize the most vulnerable/critical locations, which needs suitable implementation of strategic alternatives derived using FH-SWOT model. The FH-SWOT model developed herein simultaneously delineates strategic alternatives and corresponding priority zones, while addressing the uncertainties related to stakeholder’s conflicts and imprecise data to reach optimal, pessimistic and nominal viewpoints, which leads to development of an innovative and comprehensive decision-support framework for assessing sustainability. The key policies derived from the study involve enforcing regulations on disposal of heavy metals, developing hydropower, adaptation of organic farming, education and participation of stakeholders, regulations on dams and barrages with a score of 0.2453, 0.2205, 0.2088, 0.1898, and 0.1288 respectively. Also, Kanpur- Varanasi stretch has been delineated as very high priority zone followed by regions located along the banks of Ganges. Sensitivity analysis proves that the model is robust and can be used by the environment managers towards sustainable planning and management of any river basin, lakes, wetlands or any major water body of the world.