Download PDF Risk, Reliability, Uncertainty, and Robustness of Water Resource Systems

Free download. Book file PDF easily for everyone and every device. You can download and read online Risk, Reliability, Uncertainty, and Robustness of Water Resource Systems file PDF Book only if you are registered here. And also you can download or read online all Book PDF file that related with Risk, Reliability, Uncertainty, and Robustness of Water Resource Systems book. Happy reading Risk, Reliability, Uncertainty, and Robustness of Water Resource Systems Bookeveryone. Download file Free Book PDF Risk, Reliability, Uncertainty, and Robustness of Water Resource Systems at Complete PDF Library. This Book have some digital formats such us :paperbook, ebook, kindle, epub, fb2 and another formats. Here is The CompletePDF Book Library. It's free to register here to get Book file PDF Risk, Reliability, Uncertainty, and Robustness of Water Resource Systems Pocket Guide.

This book examines system robustness as a new perspective on flood and drought risk management. The concept of robustness is familiar from other areas, such as engineering and biology. When a system is robust, it can remain functioning even when some components fail. Areas prone to flooding or drought can be understood as systems, and this book makes the concept of robustness operational by proposing quantifiable criteria. These criteria were tested in two case studies of flooding and two of drought, which demonstrate the applicability of the framework and provide insight into the system characteristics that influence system robustness.

The book will contribute to decision-making in flood and drought risk management by providing additional decision criteria, and will be of interest to all those whose work involves the management of disastrous and uncertain flood and drought events. Floods and droughts cause increasingly large impacts on societies worldwide.

The probability of these extreme events is also expected to increase due to climate change. Water management primarily tries to protect against floods and droughts, for example by building flood protection infrastructure and reservoirs. Therefore, over the past decades, water management has shifted to a risk-based approach. This means that policies do not only aim at reducing the probability of occurrence of floods and droughts, but also include actions to limit the consequences of potential flooding or water shortage.

Learning about climate change uncertainty enables flexible water infrastructure planning

Both types of measures may aid to reduce flood and drought risk to an acceptable level. Even if the risk is reduced to an acceptable level, extremely large impacts are not avoided, as demonstrated by recent floods and droughts events with devastating impact. A risk approach considers ten casualties per year in years equal to casualties at once during the same period. However, the latter have a much larger societal impact.

Large impacts occurring at once are considered unacceptable when it is difficult to recover from them. Hence, not only the risk but also the potential impacts should be reduced to an acceptable level. There is a need for decision support methods that help avoiding unacceptably large impacts from floods and droughts. Another reason why risk may not suffice as decision-criterion is that it is uncertain, under both current and future conditions. Estimating current risk requires assumptions on return periods of events that do not occur in measured data.

Furthermore, it is uncertain how risks develop into the future, because of uncertain future climate and climate variability and socio-economic developments. It is therefore difficult to decide on the most cost-effective strategy in terms of the effect on risk. This further underpins the need for additional decision criteria that take uncertainty into account. The concept of robustness seems useful for dealing with extreme events. Robustness is known from other areas such as engineering and biology, where networks or systems have to maintain their functionality even when some components fail.

Areas prone to floods or droughts can be understood as systems. When these systems can remain functioning during flood and drought events, it is likely that unmanageable impacts i. In this thesis, the concept of robustness is made operational by proposing quantifiable criteria. These criteria were tested in two flood cases and two drought cases.

The overall goal of the proposed framework is to gain insight into how these coupled human and hydrologic systems might co-evolve under alternative climatic, socio-economic and regulatory futures that are uncertain the Drivers. The Responses should be sustainable in economic, social and environmental terms, and robust and resilient under uncertain futures.

Risk and Reliability of offshore structures

Agents therefore represent the different stakeholders in the decision-making process, and the Stakeholder Platform Fig. As a consequence, stakeholders can appreciate how their preferences and views can affect other stakeholders economically and socially, leading to compromise. They are supported by a Virtual Decision Support Theatre which can depict virtual rural e. Donaldson-Selby et al. Responses emerge from the Stakeholder Platform with support from technical experts, as represented by the two-way interaction in Fig. These are then evaluated though an Integrated Assessment IA process eg Rotmans and Van Asselt , the outcomes of which are fed back to the Human System and specifically the Stakeholder Platform, with iteration eventually leading to the preferred Responses to be implemented that satisfy the IA criteria.

There is a parallel two-way interaction between the Responses and the water resource system model; water resource system infrastructure would be represented within the model, and the impacts fed through to the IA process, and back to the Stakeholder Platform through the feedback loop. Bull Ecol Soc Am 92 2 — An L Modeling human decisions in coupled human and natural systems: review of agent-based models.

The Ecologist. Bithell M, Brasington J Coupling agent-based models of subsistence farming with individual-based forest models and dynamic models of water distribution. Environ Model Softw 24 2 — Landsc Ecol 19 8 — Clarke RT On the mis use of statistical methods in hydro-climatological research. Geophys Res Lett L Nature — Donaldson-Selby G et al Testing public preferences for future land uses and landscapes. Dong H et al Regional water footprint evaluation in China: a case of Liaoning.

Sci Total Environ — Edsall RM, Larson KL Effectiveness of a semi-immersive virtual environment in understanding human—environment interactions. Cartogr Geogr Inf Sci 36 4 — Water Resour Res 45 5 :W AGWA report Gleick PH The changing water paradigm. A look at twenty-first century water resources development. Ecol Model 23 — Chapter 2. In: Stocker et al eds Climate Change The physical science basis. Climate Dyn — Google Scholar. Hoekstra AY The global dimension of water governance: why the river basin approach is no longer sufficient and why cooperative action at global level is needed.

Water 3 1 — Reg Environ Chang 12 1 — Hurst HE Long term storage capacity of reservoirs.

  • chapter and author info;
  • 1. Introduction.
  • Textiles and Clothing Sustainability: Sustainable Technologies.
  • ACC.10 & i2.10 Abstracts.
  • Introduction!
  • Tips and tricks on programming, evolutionary algorithms, and doing research?

Hurst HE Methods of using long-term storage in reservoirs. IPCC Managing the risks of extreme events and disasters to advance climate change adaptation. Hydrol Earth Syst Sci — Jamieson DG Suggestions for future policy on operational river basin management in Thames Water. Jeuland M, Whittington D Water resources planning under climate change: assessing the robustness of real options for the Blue Nile. Water Resour Res — Kabat P et al eds Vegetation, water, humans and the climate: a new perspective on an interactive system. Springer, Berlin, p Google Scholar.

Koutsoyiannis D Climate change, the Hurst phenomenon, and hydrological statistics. Hydrol Sci J — Koutsoyiannis D Hurst-Kolmogorov processes and uncertainty.

Workshop on nonstationarity, hydrologic frequency analysis, and water management. Koutsoyiannis D, Montanari A Negligent killing of scientific concepts: the stationarity case. Liu J et al Coupled human and natural systems. Hydrol Process.

Site-wide navigation

Lu F, Ocampo-Raeder C, Crow B Equitable water governance: future directions in the understanding and analysis of water inequities in the global south. Maass A et al Design of water-resource systems. Malaterre P-O Control of irrigation canals: why and how? Markonis Y, Koutsoyiannis D Climatic variability over time scales spanning nine orders of magnitude: connecting Milankovitch cycles with Hurst—Kolmogorov dynamics. Surv Geophys 34 2. Water Res 47 20 — Matalas NC Stochastic hydrology in the context of climate change.

Matalas NC Note on the assumption of hydrological stationarity. In: Schilling K, Stakhiv E eds Global change and water resources management, water resources update no Eos Trans AGU 88 47 Science — CrossRef Google Scholar. In: Proc international congress complexity and integrated resources management. Environ Model Softw — In: Proc.

First International Workshop. Institute of Hydrology, Wallingford, p Google Scholar. Hydrol Sci J. Hydrol Earth Syst Sci 18 1 — In: Singh VP ed handbook of applied hydrology, second edition.

Top Authors

McGraw Hill professional, pp — Google Scholar. Olmstead SM Climate change adaptation and water resource management: a reviewof the literature. Energy Econ — Pahl-Wostl C Towards sustainability in the water sector — the importance of human actors and processes of social learning. Aquat Sci 64 4 — Pahl-Wostl C The importance of social learning in restoring the multifunctionality of rivers and floodplains.

Ecol Soc 11 1 Google Scholar.


Risk, Reliability, Uncertainty, and Robustness of Water Resource Systems -

J Community Appl Soc Psychol 14 3 — Pielke R et al Climate change: the need to consider human forcings besides greenhouse gases. Eos Trans AGU 90 45 — Pielke R Sr et al Dealing with complexity and extreme events using a bottom-up, resource-based vulnerability perspective. Extreme events and natural hazards: the complexity perspective, — Google Scholar. Plusquellec H Is the daunting challenge of irrigation achievable?

Browse more videos

Irrig Drain 51 3 — Disasters 30 1 — CrossRef Google Scholar. Clim Chang 34 3—4 — PLoS One 12 4 :e Shiferaw B et al Managing vulnerability to drought and enhancing livelihood resilience in sub-Saharan Africa: technological, institutional and policy options. Weather Clim Extremes — Verburg P Simulating feedbacks in land use and land cover change models.

Landscape Ecol 21 8 — Background, Impact and the Way Forward.

  • Towards Adaptation of Water Resource Systems to Climatic and Socio-Economic Change | SpringerLink.
  • ISBN 13: 9780521020411.
  • Browse Cari.

Weather — Zellner ML Embracing complexity and uncertainty: the potential of agent-based modeling for environmental planning and policy. Plann Theory Pract 9 4 — Personalised recommendations. User Account Log in Register Help. Search Close Advanced Search Help. Show Summary Details.