This book describes concepts and tools needed for water resources management, including methods for modeling, simulation, optimization, big data analysis, data mining, remote sensing, geographical information system, game theory, conflict resolution, System dynamics, agent-based models, multiobjective, multicriteria, and multiattribute decision making and risk and uncertainty analysis, for better and sustainable management of water resources and consumption, thus mitigating the present and future global water shortage crisis. It presents the applications of these tools through case studies which demonstrate its benefits of proper management of water resources systems. This book acts as a reference for students, professors, industrial practitioners, and stakeholders in the field of water resources and hydrology.

This book provides a comprehensive yet fresh perspective for the cutting-edge CI-oriented approaches in water resources planning and management. The book takes a deep dive into topics like meta-heuristic evolutionary optimization algorithms (e.g., GA, PSA, etc.), data mining techniques (e.g., SVM, ANN, etc.), probabilistic and Bayesian-oriented frameworks, fuzzy logic, AI, deep learning, and expert systems. These approaches provide a practical approach to understand and resolve complicated and intertwined real-world problems that often imposed serious challenges to traditional deterministic precise frameworks. The topic caters to postgraduate students and senior researchers who are interested in computational intelligence approach to issues stemming from water and environmental sciences.

This nine-volume set LNCS 14104 – 14112 constitutes the refereed workshop proceedings of the 23rd International Conference on Computational Science and Its Applications, ICCSA 2023, held at Athens, Greece, during July 3–6, 2023. The 350 full papers and 29 short papers and 2 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 876 submissions. These nine-volumes includes the proceedings of the following workshops: Advances in Artificial Intelligence Learning Technologies: Blended Learning, STEM, Computational Thinking and Coding (AAILT 2023); Advanced Processes of Mathematics and Computing Models in Complex Computational Systems (ACMC 2023); Artificial Intelligence supported Medical data examination (AIM 2023); Advanced and Innovative web Apps (AIWA 2023); Assessing Urban Sustainability (ASUS 2023); Advanced Data Science Techniques with applications in Industry and Environmental Sustainability (ATELIERS 2023); Advances in Web Based Learning (AWBL 2023); Blockchain and Distributed Ledgers: Technologies and Applications (BDLTA 2023); Bio and Neuro inspired Computing and Applications (BIONCA 2023); Choices and Actions for Human Scale Cities: Decision Support Systems (CAHSC-DSS 2023); and Computational and Applied Mathematics (CAM 2023).

Multi-Criteria Decision-Making (MCDM) includes methods and tools for modeling and solving complex problems. MCDM has become popular in the production and service sectors to improve the quality of service, reduce costs, and make people more prosperous. This book illustrates applications through case studies focused on disaster management. With a presentation of both Multi-Attribute Decision-Making (MADM) and Multi-Objective Decision-Making (MODM) models, this is the first book to merge these methods and tools with disaster management. This book raises awareness for society and decision-makers on how to measure readiness and what necessary preventive measures need to be taken. It offers models and case studies that can be easily adapted to solve complex problems and find solutions in other fields. Multi-Criteria Decision Analysis: Case Studies in Disaster Management will offer new insights to researchers working in the areas of industrial engineering, systems engineering, healthcare systems, operations research, mathematics, business, computer science, and disaster management, and, hopefully, the book will also stimulate further work in MCDM.

Sub-Saharan Africa grapples with many public health issues such as food insecurity, increased prevalence of infectious diseases, limited access to clean water supply, poor nutrition and lack of improved health services for its populace (IMF, 2021). Of all these challenges, the inaccessibility of clean water supply for both the rural and urban populace is the most pressing challenge, which has been exacerbated by extensive pollution and climate change crises. The issue of water access and supply affects both rural and urban populations. At rural areas water is accessed in yard taps and in arid regions through water kiosks managed by private owners. Among the urban poor, water access is compromised by poor supply infrastructure especially among informal settlers and risks such as contamination during the supply chain are imminent This book therefore seeks to close this knowledge gap by 1) generating a water resources inventory for Sub-Saharan Africa region, 2) exploring the water crises in both its urban and rural settings, 3) understanding the causatives of the crises and 4) suggesting viable solutions to manage the water challenges using named case studies. The aim is to improve understanding on the region’s water problems and advise scholars and policymakers on priority research areas and action plans to better water management for sustainable development.

Computational intelligence-based optimization methods, also known as metaheuristic optimization algorithms, are a popular topic in mathematical programming. These methods have bridged the gap between various approaches and created a new school of thought to solve real-world optimization problems. In this book, we have selected some of the most effective and renowned algorithms in the literature. These algorithms are not only practical but also provide thought-provoking theoretical ideas to help readers understand how they solve optimization problems. Each chapter includes a brief review of the algorithm’s background and the fields it has been used in. Additionally, Python code is provided for all algorithms at the end of each chapter, making this book a valuable resource for beginner and intermediate programmers looking to understand these algorithms.

Countries of the Near East vary in the type, quantity and format of the inventories of their land resources. Quite often, these data are sporadic, incomplete, out of date or based on diverse systems of land and soil classification and mapping. There is a need for the establishment of a user-friendly database on land and water Resources for each country, to be easily available at the desktop of land use planners and decision makers. Land resources information systems experiences in the countries are presented in this document, as well as recommendations for future collaboration in database development, reporting and exchange of information, expertise and experiences in land and water management in the region and the implementation of regional projects.

This is the first comprehensive, multi-disciplinary book to address water policy in Jordan. Edited by the former Minister of Water and Irrigation of Jordan, with contributions by other prominent Jordanian and international water professionals, this volume covers such areas as the population-water resources equation in Jordan; institutional and legal frameworks; the data systems used for the assessment and formulation of water policy; water allocations and uses in municipal, industrial, and agricultural sectors; social and environmental issues; and water conflict with Jordan's neighbors. The book is a must for readers interested in Middle East politics and the critical nature of water issues in the region. The book notes the importance of interaction with the outside world to augment water resources through trade, making the experience of Jordan relevant to other developing regions where water is scarce. It introduces the term 'shadow water' to mean the scarce indigenous water resources that the import of agricultural and industrial commodities saves or replaces. The book shows how financially profitable it can be to treat water as a tradable commodity, to be exchanged peaceably across international borders. Haddadin and his distinguished contributors bring the water conflicts between Jordan and its neighbors, Israel and Syria, into sharp focus. The book includes a historical perspective on the development of water policies in Jordan and explores the significance of water in the religious, social, and political life of the country.