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Editorial: Futuristic and Sustainable Aspects in Engineering and Technology (FSAET-2023)

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Abstract

Water is a fundamental resource for human survival, agriculture, industry, and the environment.However, with the growing global population, climate change, and unsustainable water management practices, the world is facing increasing pressure on freshwater resources.The future of water resources management relies heavily on the integration of futuristic and sustainable engineering and technology solutions.The field of water resources engineering is undergoing a transformative shift, guided by cutting-edge technologies and sustainable practices, aiming to enhance water availability, improve water quality, and adapt to the challenges posed by climate change.Various fields associated with innovation includes but not limited to assessing the effects of climate and land-use change on flood, design of water distribution networks, coastal engineering, flood forecasting and warning system, flood hazard analysis multi-criteria decision-making (MCDM) techniques, impact of projected climate variability on agricultural water demand, India's flood risk assessment and mapping, weir and spillways designing, ensemble modeling of ice glacier, experimental study on effect of deficit irrigation, utilizing statistical and MCDM techniques in indexing morphometric parameters, mitigating the after-effect of climate-induced disaster through energy dissipation, assessment of irrigation water management, trend analysis of precipitation and drought characteristics, experimental investigation of the efficiency of stone revetment, evapotranspiration study for cropping system, rainfall-runoff modeling, etc.One of the most promising technological advancements in water resource management is the development of management system assesses the combined effects of climate and land-use change on flood recurrence.Extreme weather events such as floods and droughts have become more frequent and intense, which has negatively impacted agricultural productivity and other livelihoods that depend on the river.In addition, the changes in temperature and precipitation patterns have led to changes in the hydrological cycle, which has affected the availability and quality of water in the river.The changes in the hydrological cycle have also led to the increased occurrence of landslides, which have further impacted the ecological health of the river (Shams et al. 2024).Not only that, but a water distribution network (WDN) is also one of the costliest components of any water supply project, therefore, the cost optimization of a WDN design is required.The simplest WDN optimization problem consists of selecting the most appropriate diameter for each pipe of the network from the set of available discrete pipe-diameters to minimize the network cost.Gangwani et al. (2024) proposed a fast, efficient, and parameter-less Rao-II algorithm has been used earlier with penalty-based approaches for the optimal design of WDNs.In this study, the application of a Rao-II algorithm is further explored with three self-adaptive penalty approaches to compare the convergence characteristics.Basu et al. (2024) suggested that development of coastal roads and bridges is important to overcome traffic congestion in densely populated coastal cities like Mumbai.In the study, they emphasized the importance of assessment of wave conditions required for the extension of jetties to facilitate the transportation of bridge components to build the sea link bridge during the non-monsoon season so that zero downtime for operability at jetties is ascertained.Flooding poses a severe threat to communities and infrastructure worldwide, which requires advanced flood forecasting warning systems.In this research paper, Patel et al. (2024a) proposed a real-time flood forecasting and warning system for the Dharoi Dam in the state of Gujarat, India.The novel system combines ensemble techniques and hydrological modeling simulations to enhance flood prediction accuracy and provides a timely warning.The study focuses on critical gaps in the current flood forecasting capabilities, recognizes the need for improved flood management in the region, and builds upon the existing research conducted globally and in India.Flood risk assessment remains a crucial element, particularly within locations highly susceptible to repeated flood occurrences.Solanki et al. (2024) seek to conduct an elaborate flood risk analysis for Mumbai, India based on an integrated method of geographic information systems and analytic hierarchy process (AHP).In this study, land use/land cover, average annual rainfall, elevation, drainage density, Normalized Difference Vegetation Index, distance from rivers as well as distance from roads are identified and considered.One area may be likely to be affected by flood and another with drought due to large land area of India and its climatic condition.Water scarcity predominantly affects agriculture production.

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