Faculty Publications
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Item Assessing the life cycle performance of green building projects: a building performance score (BPS) model approach(Taylor and Francis Ltd., 2023) Thanu, T.; C, C.; Deepak, D.Construction industry is one of the major sectors contributing to the economic development of any country. Also, it acts as a major source of pollution towards the environment, and the impact of this is very severe. To overcome this, the concept of sustainability in the construction sector has emerged. In this regard, vital importance is given to the concept of sustainability along with various rating tools to measure green building performance. In the Indian context, existing assessment tools provide major importance to environmental impact rather than economic and social impacts. To address this issue, a Building Performance Score (BPS) model is developed based on the triple bottom priorities of sustainability which consists of environmental, economical, and social concepts. This model includes various indicators that play a major role in the sustainability assessment at various stages in life cycle of building. Different weights were ascertained for these indicators by experts and were further evaluated by Analytical Hierarchy Process (AHP) to understand the importance of these indicators. Furthermore, the importance of BPS model is validated considering three certified green buildings. Additional indicators that form the major source of sustainability that are neglected in the existing assessment tools are also considered in the case studies. The BPS model developed is utilized in different case scenarios to evaluate the performance of buildings and the suggested BPS model is validated through the present study. © 2022 Informa UK Limited, trading as Taylor & Francis Group.Item Novel assessment tools for inland aquaculture in the western Godavari delta region of Andhra Pradesh(Springer, 2024) Thotakura, T.V.; Malegole, S.B.; Chaudhary, B.; Gobinath, G.; Chitturi, P.; Durga Prasad, D.P.The production of fisheries and shrimp has been twice every 10 years for the previous five decades, making it the most rapidly expanding food industry. This growth is due to intensive farming and the conversion of agriculture into aquaculture in many parts of South Asia. Furthermore, intensive aquaculture generates positive economic growth but leads to environmental degradation without proper monitoring. Unfortunately, technical innovation is less in aquaculture than agricultural and manufacturing industries. The advent of remote sensing and soft computing has expanded various opportunities for utilizing and integrating technological advances in civil and environmental disciplines. This paper presents the aquaculture scenario in the western Godavari delta region of Andhra Pradesh and proposes various novel assessment tools to monitor the aquaculture environment. An experimental investigation was carried out on the physicochemical characteristics of the inland aquaculture ponds to evaluate water quality in the aquaculture ponds. Furthermore, to assess the intensity of inland aquaculture, the current work concentrates on the potential application of remote sensing and soft computing approaches. Geospatial models of kriging and inverse distance weighing (IDW) show higher performance in estimating ammonia levels in the intensive aquaculture groundwaters with coefficient of determination (R2) values of 0.947 and 0.901, respectively. Teaching learning-based optimization (TLBO) and adaptive particle swarm optimization (APSO), two of the five soft computing techniques utilized in the study, perform better than the others. Additionally, it was found that remote sensing-based assessment tools and soft computing prediction models were both trustworthy, accurate, and easy to use. Furthermore, these methods could assist in the real-time evaluation of inland aquaculture waters by stakeholders and policymakers. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023.