Introduction To Optimization Analysis In Hydrosystem Engineering


Download Introduction To Optimization Analysis In Hydrosystem Engineering PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Introduction To Optimization Analysis In Hydrosystem Engineering book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Introduction to Optimization Analysis in Hydrosystem Engineering


Introduction to Optimization Analysis in Hydrosystem Engineering

Author: Ehsan Goodarzi

language: en

Publisher: Springer Science & Business Media

Release Date: 2014-02-06


DOWNLOAD





This book presents the basics of linear and nonlinear optimization analysis for both single and multi-objective problems in hydrosystem engineering. The book includes several examples with various levels of complexity in different fields of water resources engineering. The examples are solved step by step to assist the reader and to make it easier to understand the concepts. In addition, the latest tools and methods are presented to help students, researchers, engineers and water managers to properly conceptualize and formulate resource allocation problems, and to deal with the complexity of constraints in water demand and available supplies in an appropriate way.

Advancement in Hydrological Modeling and Water Resources Management for achieving Sustainable Development Goals (SDGs)


Advancement in Hydrological Modeling and Water Resources Management for achieving Sustainable Development Goals (SDGs)

Author: Vikram Kumar

language: en

Publisher: Frontiers Media SA

Release Date: 2025-04-24


DOWNLOAD





Availability of water for domestic and agricultural activities have become crucial due to rapid urbanization, growing population, and climate change. It is essential to develop effective strategies for managing water resources sustainably. These stressors complicate water resources management and pose a major bottleneck in achieving many United Nation’s Sustainable Development Goals (SDGs). The affected SDGs that relate to these issues are 1) SDG2: zero hunger, 2) SDG6: clean water and sanitation and 3) SDG 13: climate action. To achieve these SDGs, recent advancement in hydrological modelling and water resources management offer promising solutions, including access to safe and affordable drinking water, sanitation, and the protection and restoration of freshwater ecosystems. Thus, the collective goal of this Research Topic is to showcase the latest research and developments in the field of hydrological modelling as well as water resources monitoring and management. It will provide specific focus to how these advances can contribute to the achievement of the UN SDGs related to water resources. In particular, the individual goals of this Research Topic are to contribute knowledge towards: 1) Integrated water resource management. 2) Climate change adaptation. 3) Water quality management. 4) Data driven decision-making through hydrological modelling. 5) Advancement in technologies/tools for water resource management. 6) Engaging stakeholders to promote a holistic approach to water resources management.

Proceedings of the 7th Asia Pacific Conference on Manufacturing Systems and 6th International Manufacturing Engineering Conference—Volume 1


Proceedings of the 7th Asia Pacific Conference on Manufacturing Systems and 6th International Manufacturing Engineering Conference—Volume 1

Author: Siti Nadiah Mohd Saffe

language: en

Publisher: Springer Nature

Release Date: 2025-05-30


DOWNLOAD





This publication showcases the 7th Asia-Pacific Conference on Manufacturing System and 6th International Manufacturing Engineering Conference (iMEC-APCOMS 2024) proceedings. It emphasizes the UN Sustainable Development Goals in recent developments and significant challenges in manufacturing industry, along with the emergence of intelligent manufacturing engineering and technology, which are critical for adopting Industry 4.0. The book discusses both traditional and advanced approaches used in various intelligent manufacturing applications. Readers can expect to gain a comprehensive understanding of current trends, challenges, solutions, and mitigating factors from this publication.