Efforts to meet human water needs at local scales may cause negative environmental externalities and stress on the water system at regional and global scales. Hence, assessing Sustainable Development Goals (SDGs) targets requires a broad and in-depth knowledge of the global to local dynamics of water availability and use. Furthermore, interactions and trade-offs between different SDG targets may lead to sub-optimal or even adverse outcomes if the set of actions are not properly pre-designed to consider such inter-linkages. Thus, scientific research and evidence have an important role to play in facilitating the implementation of SDGs through assessments and policy engagement from global to local scales. This paper addresses some of these challenges related to implementation and monitoring of the targets of the SDGs from a water perspective, based on the key findings of a conference organized in 2015 focused on three essential aspects of SDGs: indicators, inter-linkages, and implementation. The paper argues that indicators should not be too simple and should ultimately deliver sustainability measures. The paper highlights that remote sensing and earth observation technologies can play a key role in supporting the monitoring of water targets. It also recognizes that implementing SDGs is a societal process of development, and there is a need to link how SDGs relate to public benefits and to communicate this to the broader public.
Global environmental change, including climate change, is increasingly affecting ecosystems and the communities who rely on them. Reflecting on the manner in which the environment changes can help provide insights into the different mechanisms by which humans respond and adapt to deal with the environmental stress they face. When it comes to migrating as a response strategy to environmental stress, the pace of change in the environment will have a significant influence on the mode of displacement and migration-related decisions. Determining the exact extent that environmental stresses play in forcing people to move is complex for at least two reasons. First, deciphering which of several push and pull factors influence a decision to move is difficult as multiple factors (e.g., social, political and economic factors) often act simultaneously. Second, environmental degradation processes are often a consequence of the degradation of social, economic and political conditions and vice versa. Reflecting on the concept of social-ecological systems and the notion of ecosystem services is useful for understanding this complexity and can help in determining the extent to which ecosystem degradation plays a role in forcing people to migrate. An attempt is made to address the gap in conceptualising environmental change and migration by sketching a decision framework for categorising people moving due to environmental stressors. The approach examines the circumstances leading to a decision to move, including the state of the environment and coping capacities ⁄ adaptive abilities of those individuals or communities affected. This conceptualisation is not a final scheme but
Applicability and Limits Dynamic programming is a method of solving multi-stage problems in which decisions at one stage become the conditions governing the succeeding stages. It can be applied to the management of water reservoirs, allowing them to be operated more efficiently. This is one of the few books dedicated solely to dynamic programming techniques used in reservoir management. It presents the applicability of these techniques and their limits in the operational analysis of reservoir systems. In addition to providing optimal reservoir operation models that take into account water quantity, the book also examines models that consider water quality. The dynamic programming models presented in this book have been applied to reservoir systems all over the world, helping the reader to appreciate the applicability and limits of these models. The book also includes a model for the operation of a reservoir during an emergency situation. This volume will be a valuable reference to researchers in hydrology, water resources and engineering, as well as to professionals in reservoir management.
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