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  • Development of a Deep Learning-Based Prediction Model for Water . . .
    The importance of efficient water resource supply has been acknowledged, and it is essential to predict short-term water consumption in the future Recently, it has become possible to obtain data on water consumption at the household level through smart water meters The pattern of these data is nonlinear due to various factors related to human activities, such as holidays and weather However
  • Water and Sanitation in Schools: A Systematic Review of the . . . - MDPI
    A systematic review of the literature on the effects of water and sanitation in schools was performed The goal was to characterize the impacts of water and sanitation inadequacies in the academic environment Published peer reviewed literature was screened and articles that documented the provision of water and sanitation at schools were considered Forty-one peer-reviewed papers met the
  • Applications of Smart Water Management Systems: A Literature Review - MDPI
    Issues such as climate change, water scarcity, population growth, and distribution losses have stimulated the use of new technologies to manage water resources This is how the concept of smart water management emerged as a subcategory of the concept of smart cities This article aimed first to identify the applications of smart water-management systems described in academic articles either as
  • Remediation Strategies for Soil and Water - MDPI
    Dr Xiaoqiang Cui received a B Sc degree in Environmental Engineering from Southwest University in 2013 and a Ph D degree in Environmental Remediation and Resource Regeneration from Zhejiang University in 2018 He is an Associate Professor at the School of Environmental Science and Engineering, Tianjin University His research interests mainly inclu the green remediation of eutrophic water
  • Water Distribution Systems: Integrated Approaches for Effective Utility . . .
    An extensive review of research advances in distribution system management was conducted to include methods, tools, and frameworks for integration Sources included archival journals and water industry reports from research institutes, government regulators, and industry media covering case studies of advances that were implemented Results showed that while effective management of water
  • Causes of the Record-Breaking Pacific Northwest Heatwave, Late . . . - MDPI
    The extreme heat event that hit the Pacific Northwest (Oregon, Washington, southern British Columbia) at the end of June 2021 was 3 °C greater than the previous Seattle record of 39 °C; larger extremes of 49 °C were observed further inland that were 6 °C above previous record There were hundreds of deaths over the region and loss of marine life and forests At the large scale prior to the
  • An Experimental Investigation of Tsunami Bore Impact on Coastal . . . - MDPI
    This experimental study focused on the measurement and analysis of the impact force caused by a tsunami bore on a coastal structure The bore wave was produced by a dam break mechanism The water depth in the reservoir and the location of the coastal structures were varied to simulate different impact scenarios The time history of the force resulting from the impact of the bore wave on the
  • Enhanced Neural Network for Rapid Identification of Crop Water and . . .
    Precision irrigation and fertilization in agriculture are vital for sustainable crop production, relying on accurate determination of the crop’s nutritional status However, there are challenges in optimizing traditional neural networks to achieve this accurately This paper aims to propose a rapid identification method for crop water and nitrogen content using optimized neural networks




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