Department of Civil Engineering
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Item Water quality assessment of a river basin under fuzzy multi-criteria framework(Inder Science, 2015-07) Singh, Ajit Pratap; Srinivas, RallapalliIn 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 basinItem Entropy-based fuzzy SWOT decision-making for condition assessment of airfield pavements(Taylor & Francis, 2019-09) Srivastava, Anshuman; Singh, Ajit PratapThe paper proposes a novel decision-making methodology for integrated condition assessment and maintenance of airfield pavements by making use of non-destructive testing. The methodology has been explained by considering the runway of an international airport. A variety of performance indicators to appraise various aspects of pavement health, including structural, functional, and traffic mix analysis, have been considered. The field surveys and tests performed to determine each of the above factors are presented. An amalgamation of Fuzzy Analytic Hierarchy Process (FAHP) and entropy method is adopted to prioritise airfield pavement sections for maintenance and repair strategies based on the values of their entropy weights. The SWOT model and its hybridised forms deliver a platform to prioritise the pavement maintenance policy alternatives based on their technical feasibility, durability, financial viability, and reliability. The approach developed in this work is superior to other conventional optimisation models. Due to its flexibility, it can be appropriately customised and implemented as per the anticipated problem and data availability. Thus, it provides a wide scope to the decision-makers, planners, and implementation agencies to deal with diverse issues and execute the derived strategies immediately.Item Road safety analysis using multi criteria approach: A case study in India(Elsiever, 2017) Singh, Ajit Pratap; Sarkar, Askoke KumarRoad Safety Analysis (RSA) ensure prevention of loss of human life and damage to property which is a procedure to assess the safety standards of a road and helps in the overall decision making process of road management. Road are to be prioritized based on Safety levels to identify the most vulnerable roads to provide mitigation measures. In this paper a study was carried out to determine the priority of safety requirements of a certain category of rural roads, viz., Pradhan Mantri Gram Sadak Yojana (PMGSY) roads in the Jhunjhunu district of Rajasthan, India. Multi-criteria techniques were used to quantify the safety levels. Further analysis has also been done on the road having the worst safety features to rank various stretches. The parameters vital for safety have been selected and quantified using three multi-criteria decision making analysis tools: Simple Additive Weightage (SAW), Analytical Hierarchy Process (AHP) and Fuzzy AHP methods and results are compared. The methodology presented herein gives an insight to prioritize roads for safety mitigation measures which is expected to be useful to various Decision Makers.Item Entropy-based fuzzy SWOT decision-making for condition assessment of airfield pavements(Taylor & Francis, 2019-10) Singh, Ajit Pratap; Srivastava, AnshumanThe paper proposes a novel decision-making methodology for integrated condition assessment and maintenance of airfield pavements by making use of non-destructive testing. The methodology has been explained by considering the runway of an international airport. A variety of performance indicators to appraise various aspects of pavement health, including structural, functional, and traffic mix analysis, have been considered. The field surveys and tests performed to determine each of the above factors are presented. An amalgamation of Fuzzy Analytic Hierarchy Process (FAHP) and entropy method is adopted to prioritise airfield pavement sections for maintenance and repair strategies based on the values of their entropy weights. The SWOT model and its hybridised forms deliver a platform to prioritise the pavement maintenance policy alternatives based on their technical feasibility, durability, financial viability, and reliability. The approach developed in this work is superior to other conventional optimisation models. Due to its flexibility, it can be appropriately customised and implemented as per the anticipated problem and data availability. Thus, it provides a wide scope to the decision-makers, planners, and implementation agencies to deal with diverse issues and execute the derived strategies immediately.