A software tool for helping in decision-making about water management in batch process industries

2000 ◽  
Vol 20 (8) ◽  
pp. 645-649 ◽  
Author(s):  
L Puigjaner ◽  
A Espuña ◽  
M Almató
Author(s):  
Laurence Smith

Analyzing the public policy challenge of multifunctional land use, for which farmers are required to be food producers, water resource managers and environmental stewards, it is argued that a location-sensitive policy mix is required, consisting of appropriate regulation complemented by advice provision, voluntarism, and well-targeted incentive schemes. The case is further made for adaptive management, local deliberation and stakeholder participation, and hence for governance that is open, delegated, and collaborative. Assessment, planning, and decision making need to be delegated to the most appropriate governmental level and spatial scale to achieve desired outcomes, whilst effective mechanisms for vertical and horizontal coordination of the resulting multilevel and polycentric governance are essential. Hydrographic catchments have significant advantages as spatial units for analysis, planning, coordination, and policy delivery. However, catchment-based working creates further need for cross-level, sector, and scale communication and coordination. Mechanisms for this merit further attention.


10.29007/v979 ◽  
2018 ◽  
Author(s):  
Ziad Shawwash ◽  
James H. Everett

This paper presents the Risk Informed Decision-making Framework and software tool we developed that formally account for flood risk and uncertainty in reservoir operations. The framework and the software tool are intended for practical use by reservoir operations planners to manage flooding events. We present a robust and comprehensive approach that accounts for a multitude of flood risks and their impacts, and that enables its users to identify those alternative reservoir operating plans that formally adopt a state-of-the-art risk informed decision-making framework. Solidly grounded in and closely follows a well-structured planning process, the framework augments existing planning processes and information flows that incorporates specific techniques and methods from probabilistic risk analysis (PRA) and Multi-criteria Decision Analysis techniques (MCDA). Seven major hydropower companies and agencies in North America and Europe sponsored the development of the framework and the decision support tool. We present the results of a case study to illustrate the framework and the software system. We show that numerous advantages can be achieved using such tools over currently used approaches and that in the case of risky and high-impact processes, such as in the management of potentially high-consequence facilities such as storage reservoirs, management by a human operator is essential.


2007 ◽  
Vol 56 (9) ◽  
pp. 1-12 ◽  
Author(s):  
M.W. Blind ◽  
J.C. Refsgaard

Key sources of uncertainty of importance for water resources management are (1) uncertainty in data; (2) uncertainty related to hydrological models (parameter values, model technique, model structure); and (3) uncertainty related to the context and the framing of the decision-making process. The European funded project ‘Harmonised techniques and representative river basin data for assessment and use of uncertainty information in integrated water management (HarmoniRiB)’ has resulted in a range of tools and methods to assess such uncertainties, focusing on items (1) and (2). The project also engaged in a number of discussions surrounding uncertainty and risk assessment in support of decision-making in water management. Based on the project's results and experiences, and on the subsequent discussions a number of conclusions can be drawn on the future needs for successful adoption of uncertainty analysis in decision support. These conclusions range from additional scientific research on specific uncertainties, dedicated guidelines for operational use to capacity building at all levels. The purpose of this paper is to elaborate on these conclusions and anchoring them in the broad objective of making uncertainty and risk assessment an essential and natural part in future decision-making processes.


Author(s):  
Rob Wilby ◽  
Conor Murphy

Some of the most profound impacts of climate variability and change are expected in the water sector. These include more frequent, severe, and persistent droughts; more frequent, widespread, and extreme floods; more episodic and harmful water pollution episodes. Coping with more variable water supplies alongside rising demand will involve institutional reform, new infrastructure, adjustments to operations, and water demand management. A smarter, decision-led approach to deploying climate information in water management will also be required. This chapter begins with an overview of analytical frameworks for assessing and adapting water resource systems to uncertain climate threats and opportunities. It then gives examples of the diverse sources of information that are being accessed by some water managers to establish plausible ranges of climate change as a basis for decision-making. Examples from Denver, Colorado, and Dublin, Republic of Ireland show how narratives of future system changes and historical data can help test the efficacy of decisions under uncertainty. These two case studies demonstrate how early dialogue and information exchange among practitioners and scientists are fundamental to adaptation planning. In both places, unconventional sources of climate risk information were used to more rigorously stress test water management and planning assumptions. The preferred adaptation decision frameworks were dynamic, iterative, and open-ended. The chapter closes by acknowledging that further development of the decision-making approaches described herein may be needed to evaluate mixtures of adaptation options across multiple sectors.


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