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Global environmental flow information for the sustainable development goals
Environmental flows (EF) are an important component of Goal 6 (the ‘water goal’) of the Sustainable Development Goals (SDGs). Yet, many countries still do not have well-defined criteria on how to define EF. In this study, we bring together the International Water Management Institute’s (IWMI’s) expertise and previous research in this area to develop a new methodology to quantify EF at a global scale. EF are developed for grids (0.1 degree spatial resolution) for different levels of health (defined as environmental management classes [EMCs]) of river sections. Additionally, EF have been separated into surface water and groundwater components, which also helps in developing sustainable groundwater abstraction (SGWA) limits. An online tool has been developed to calculate EF and SGWA in any area of interest.
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Banking Resilience: New Insights On Corporate Governance, Sustainability And Digital Innovation
The banking industry plays a critical role in ensuring global economic and financial stability. Effective governance is essential for mitigating bank risk-taking and limiting managerial opportunism in this industry, which is constantly under regulatory and market scrutiny. However, the complexity and diversity of banking financial instruments and transactions gives rise to substantial information asymmetries and ongoing debates regarding contemporary governance, sustainability, and data innovation issues.This book is one of the first to address these contemporary issues collectively, offering a comprehensive and holistic understanding of the challenges and opportunities facing the global ban...
Modelling Groundwater Systems: Understanding and Improving Groundwater Quantity and Quality Management
Groundwater is increasingly subjected to excessive over-exploitation and contamination in many parts of the world. It faces the challenge of balancing its multiple functions in a sustainable manner. This thesis explores several specific problems related to contaminant migration, groundwater-surface water interactions and managed aquifer recharge, using a variety of simulation methods and combined simulation-optimization modelling approaches. The validity of these approaches for evaluating groundwater quantity and quality management options is explored. Case studies were performed on field applications in Belgium, Germany and Oman. The results of these studies demonstrate that better insights and improved groundwater resource management can be achieved through a combination of different simulation and optimization methods that take into account data availability and specific site conditions.
