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Цель данного отчета - содействовать развитию хорошей системы экономического регулирования (СЭР) водоснабжения и водоотведения (ВСиВО) в Республике Молдова (далее кратко - Молдова). Действующая отраслевая политика требует значительной модернизации, оптимизации и развития ВСиВО, повышений эффективности эксплуатации (сокращения доли воды, которая не приносит дохода, и численности персонала на тысячу абонентов и т.д.) - в соответствии с международными и отечественными обязательствами страны (включая Соглашение об ассоциации с ЕС, Цели устойчивого развития, Парижское соглашение по климату и национальную стратегию по водоснабжению и водоотведению).
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This Special Issue showcases some advanced methodologies used in surface water quality modelling. Its aim is to introduce several topics that are new in the field of surface water quality modeling and help spur new developments in each of the topics. It is intended for a readership consisting of researchers, academics, consultants and government agency representatives. The editor of this Special Issue wishes to thank all authors, reviewers and academic editors in their contributions, without whom the publishing of this collective work would not have come to pass.
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Human society's progress has increased the quantity of pollutants emitted into the environment. Water is one of the natural resources most affected by economic activity, with pollutants reaching water bodies without proper treatment. In this context, this book presents the latest advances and developments in statistical approaches for evaluating and forecasting water resources quality. New methodologies for analyzing and predicting the water quality that can be applied in related fields are also presented.
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The sustainability of water resources worldwide is increasingly imperiled as climate change contributes to the human-induced problems of water supply scarcity and maldistribution. Environmental problems associated with water quality, such as aquifer depletion, land subsidence, the seasonal drying of river flows, waterlogging, the salinization of rivers and groundwater, and human health problems from the excessive use of fertilizers and pesticides will require a radical re-thinking of resource-management policy and new tools to help analysts and regulators craft novel solutions. Over the past several decades, with the advent and rapid progress of computational technology, watershed models have increasingly become important and effective tools for tackling a wide range of water resource and environmental management issues and for supporting regulatory compliance. Statistical and machine-learning methods are being used to support and even supplant more traditional simulation models to improve the estimation of the temporal dynamics and patterns of variability in pollutant concentrations and loads. With the advancements in modeling approaches for water quality, there have also been developments in decision-support tools for water quality management. This reprint describes innovative decision-support approaches from around the world and across sectors that can be applied by stakeholders, government entities, and regulators to reduce environmental pollution and result in cost-effective and sustainable water management strategies.
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The Jinan Municipal Water Resources Bureau, with support from the Shandong Provincial Department of Water Resources, asked RAND to evaluate potential effects of demand and climate uncertainties on investments recently undertaken according to the Jinan City Water Ecological Development Implementation Plan. RAND was also asked to assess the potential of new investments and management strategies to help Jinan meet its long-term water resources goals. RAND's approach uses well-tested methods of decision support, starting with building a shared understanding of the nature of the decision, metrics to evaluate progress toward goals, key uncertainties that drive outcomes, and relevant physical and other relationships within Jinan's complex water system. The approach also uses visualizations to help policymakers understand the implications of the results, build consensus, and facilitate decision making. This document describes RAND's approach and results, including the development of a mathematical simulation model of the Jinan water system, using the Water Evaluation and Planning software developed by the Stockholm Environmental Institute, and analysis of the system's performance under a range of uncertainties about future climate and demand across sectors--
Water quality management --- Water quality management --- Mathematical models. --- China
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Drinking water --- Water quality --- Water quality management --- United States.
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This book provides a comprehensive overview of the factors and impacts influencing water quality in various locations worldwide. It discusses the use of new analytical and monitoring methods and novel technologies for decontamination and protection of polluted waters. It includes three sections that discuss monitoring and assessment of water quality, factors of water quality degradation, and methods for water quality improvement. Water quality is a global environmental concern affecting the socioeconomic development and functionality of various ecosystems. The protection of water quality requires adequate monitoring and assessment methods included in reliable watershed management plans.
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