Including stakeholder input in formulating and solving real-world optimisation problems: Generic framework and case study

Wu, Wenyan; Maier, Holger R.; Dandy, Graeme C.; Leonard, Rosemary; Bellette, Kathryn; Cuddy, Susan M.; Maheepala, Shiroma

doi:10.1016/j.envsoft.2016.02.012

Cited by 42 publications

(32 citation statements)

References 60 publications

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“…The approach ought to satisfy the requirements of a water utility and other stakeholders for objectives, constraints, decision variables, as well as model assumptions. Although studies exist that report on successful solutions to such problems [100,127,[197][198][199], they are limited possibly due to the complexity associated with mathematically formulating objectives and constraints and/or finding the best solution. Study [200] even speculates that the real-world considerations need to be explicitly quantified, "if it is possible to do so at all", otherwise the water industry will apply engineering judgment instead of any optimisation method to design WDSs.…”

Section: Test Networkmentioning

confidence: 99%

Lost in Optimisation of Water Distribution Systems? A Literature Review of System Design

Mala-Jetmarova

Sultanova

Savić

2018

Water

138

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Optimisation of water distribution system design is a well-established research field, which has been extremely productive since the end of the 1980s. Its primary focus is to minimise the cost of a proposed pipe network infrastructure. This paper reviews in a systematic manner articles published over the past three decades, which are relevant to the design of new water distribution systems, and the strengthening, expansion and rehabilitation of existing water distribution systems, inclusive of design timing, parameter uncertainty, water quality, and operational considerations. It identifies trends and limits in the field, and provides future research directions. Exclusively, this review paper also contains comprehensive information from over one hundred and twenty publications in a tabular form, including optimisation model formulations, solution methodologies used, and other important details.

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Section: Test Networkmentioning

confidence: 99%

Lost in Optimisation of Water Distribution Systems? A Literature Review of System Design

Mala-Jetmarova

Sultanova

Savić

2018

Water

138

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“…Numerous applications of MOEAs in water resources have emerged in recent years (Ahmadi et al, ; Giuliani et al, ; Giuliani, Anghileri, et al, ; Herman et al, ; Kasprzyk et al, ; Mortazavi‐Naeini et al, ; Smith et al, ; Watson & Kasprzyk, ; W. Wu et al, ), several of which demonstrate the conflicting objectives of competing stakeholders. Maier et al () argue that the primary focus of MOEA research has been on improving the algorithms and note the lack of applications to real‐world problems.…”

Section: Introductionmentioning

confidence: 99%

“…Maier et al () argue that the primary focus of MOEA research has been on improving the algorithms and note the lack of applications to real‐world problems. While applications to address the needs of multiple stakeholders in a river system are increasingly common (Herman et al, ; W. Wu et al, ), to date there have been few that address the challenges of transboundary rivers. Giuliani, Anghileri, et al () apply the Borg MOEA (Hadka & Reed, ) to the Red River Basin, including parts of China, Laos, and Vietnam, to assess trade‐offs between hydropower, water supply, and flood damages under current and future hydrologic projections.…”

Section: Introductionmentioning

confidence: 99%

“…The method proposed in this work seeks to address the challenge of transboundary water management by using MOEAs to search for management solutions (Kasprzyk et al, ). Following the example of Smith et al () that integrates an operational hydropolicy model with an MOEA to explore solutions for improved management decisions in a complex municipal system, we extend this approach to a negotiation context, which can augment the exiting participatory frameworks described above (Castelletti & Soncini‐Sessa, ; W. Wu et al, ). The method is applied to a current situation on the Nile suggesting how it could be used to facilitate ongoing analyses that provide support to negotiations over the management of the GERD.…”

Section: Introductionmentioning

confidence: 99%

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Exploring Cooperative Transboundary River Management Strategies for the Eastern Nile Basin

Wheeler

Hall

Abdo

et al. 2018

Water Resources Research

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A water resource modeling process is demonstrated to support multistakeholder negotiations over transboundary management of the Nile River. This process addresses the challenge of identifying management options of new hydraulic infrastructure that potentially affects downstream coriparian nations and how the management of existing infrastructure can be adapted. The method includes an exploration of potential management decisions using a multiobjective evolutionary algorithm, intertwined with an iterative process of formulating cooperative strategies to overcome technical and political barriers faced in a transboundary negotiation. The case study is the addition of the Grand Ethiopian Renaissance Dam (GERD) and considers how its operation may be coordinated with adaptations to the operations of Egypt's High Aswan Dam. The results demonstrate that a lack of coordination is likely to be harmful to downstream riparians and suggest that adaptations to infrastructure in Sudan and Egypt can reduce risks to water supplies and energy generation. Although risks can be substantially reduced by agreed releases from the GERD and basic adaptations to the High Aswan Dam, these measures are still insufficient to assure that no additional risk is assumed by Egypt. The method then demonstrates how improvements to water security for both downstream riparians can be achieved through dynamic adaptation of the operation of the GERD during drought conditions. Finally, the paper demonstrates how the robustness of potential management arrangements can be evaluated considering potential effects of climate change, including increased interannual variability and highly uncertain changes such as increases in the future persistence of droughts.

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“…In general, the successful application of simulation-optimization techniques for solving real-world management problems remains a challenge due to a common lack of interaction between scientists and decision makers [70]. To overcome this challenge and link optimization applications more closely to real-world management problems, Wu et al [71] recently proposed a framework for including stakeholder input at various stages in the optimization process. In this context, integrating model outputs into meta-model-type learning environments can help to visualise cross-benefits between management measures and facilitate communication and social learning in participatory planning.…”

Section: The Value Of Model-based Information For Adaptation Planningmentioning

confidence: 99%

Adapting Agricultural Production Systems to Climate Change—What’s the Use of Models?

Holzkämper

2017

Agriculture

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Climate change poses a challenge to agricultural production and its impacts vary depending on regional focus and on the type of production system. To avoid production losses and make use of emerging potentials, adaptations in agricultural management will inevitably be required. Adaptation responses can broadly be distinguished into (1) short-term incremental responses that farmers often choose autonomously in response to observed changes and based on local knowledge and experiences, and (2) long-term transformative responses that require strategic planning, and which are usually implemented at a larger spatial scale. Models can be used to support decision making at both response levels; thereby, different features of models prove more or less valuable depending on the type of adaptation response. This paper presents a systematic literature review on the state-of-the-art in modelling for adaptation planning in agricultural production systems, investigating the question of which model types can be distinguished and how these types differ in the way they support decision making in agricultural adaptation planning. Five types of models are distinguished: (1) empirical crop models; (2) regional suitability models; (3) biophysical models; (4) meta-models; and (5) decision models. The potential and limitations of these model types for providing decision-support to short-and long-term adaptation planning are discussed. The risk of maladaptation-adaptation that implies negative consequences either in the long term or in a wider context-is identified as a key challenge of adaptation planning that needs more attention. Maladaptation is not only a risk of decision making in the face of incomplete knowledge of future climate impacts on the agricultural production system; but it can also be a threat if the connectedness of the agroecosystem is not sufficiently acknowledged when management adaptations are implemented. Future research supporting climate change adaptation efforts should thus be based on integrated assessments of risk and vulnerabilities (considering climate variability and uncertainty). To secure adaptation success in the long term, frameworks for monitoring management adaptations and their consequences should be institutionalised.

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Including stakeholder input in formulating and solving real-world optimisation problems: Generic framework and case study

Cited by 42 publications

References 60 publications

Lost in Optimisation of Water Distribution Systems? A Literature Review of System Design

Lost in Optimisation of Water Distribution Systems? A Literature Review of System Design

Exploring Cooperative Transboundary River Management Strategies for the Eastern Nile Basin

Adapting Agricultural Production Systems to Climate Change—What’s the Use of Models?

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