Addressing climate change through collective action is hindered by the unequal distribution of burdens and responsibilities deep uncertainties inherent in Human-Earth system. As a result, policymakers must navigate both empirical within socioeconomic systems, as well normative stemming from stakeholders' diverse values. these value differences critical, perceptions fairness mitigation policies are essential for their acceptance implementation. While classical decision-making under...

<title>Abstract</title> Equitable mitigation to limit warming 2°C has been central international climate negotiations and global action. Approximately half of the pathways in Intergovernmental Panel on Climate Change report use Cost-benefit Integrated Assessment Models (CB-IAMs). These are sensitive normative assumptions ingrained CB-IAMs have criticized for unfairly burdening developing nations. Here, we show that making explicit, separating conflicting policy objectives, employing adaptive...

Abstract A resurgence of dam planning and construction is under way in river basins where untapped hydropower potential could meet growing energy demands. Despite calls for more comprehensive evaluation projects, most dams continue to be planned with traditional methods that neglect interdependencies between management cumulative impacts multiple new dams. Using the transboundary Zambezi Watercourse as a case study competing demands water, energy, food are increasing, we contribute novel...

Abstract. The construction of the Akosombo and Kpong dams in Lower Volta River basin Ghana changed downstream riverine ecosystem affected lives communities, particularly those who lost their traditional livelihoods. In contrast to costs borne by vicinity river, has enjoyed vast economic benefits from affordable hydropower, irrigation schemes lake tourism that developed after dams. Herein lies challenge; there exists a trade-off between water for river ecosystems related services on one hand...

Despite progress in multiobjective evolutionary algorithms (MOEAs) research, their efficacy real-world scenarios remains unclear. This article introduces a diagnostic benchmarking framework to evaluate MOEAs, comprising (1) flexible MOEA construction software, (2) performance evaluation metrics and (3) applications for benchmarking, reflecting diverse mathematical challenges. Utilizing this framework, NSGA-II, NSGA-III, RVEA, MOEA/D Borg were evaluated across four with three ten objectives....

We present a review that unifies decision-support methods for exploring the solutions produced by multi-objective optimization (MOO) algorithms. As MOO is applied to solve diverse problems, approaches analyzing trade-offs offered these algorithms are scattered across fields. provide an overview of current advances on this topic, including visualization, mining solution set, and uncertainty exploration as well emerging research directions, interactivity, explainability, support ethical...

The integrated management of water reuse technologies and their coordination with the operations other system components are fundamental to fully exploit potential. Yet, these usually designed considering individual parameters (e.g., efficiency, durability, maintenance costs, energy consumption), more than integration traditional practices, impacts on final users at scale.Here, we adopt a portable framework based optimal control methods machine learning evaluate cross-sector loops. is...

Social vulnerability assessments play a crucial role in guiding the allocation of budgets and resources for effective disaster preparedness humanitarian response. Climate change, escalating conflicts, climate finance funding gap make social essential. Despite advances data collection, availability, analysis, there remains lack consensus regarding most suitable method to assess vulnerability. This study sheds light on consequences methodological choices by comparing two commonly used methods...

Evolutionary Multi-Objective Direct Policy Search (EMODPS) is a prominent framework for designing control policies in multi-purpose environmental systems, combining direct policy search with multi-objective evolutionary algorithms (MOEAs) to identify Pareto approximate policies. While EMODPS effective, the choice of functions within its global approximator networks remains underexplored, despite their potential significantly influence both solution quality and MOEA performance. This study...

Addressing global water scarcity requires effective, sustainable resource management. However, resources management problems are complex challenges with multiple, often contradicting, objectives. Moreover, increasingly, questions raised regarding the fair allocation of scarce resources. In this study, we use multi-objective optimization as an approach to explore trade-offs between these conflicting Questions pertaining commonly integrated a posteriori. contrast, study explores their priori...

Normative uncertainty, which arises from diverse ethical perspectives and uncertainty about distributional outcomes, poses a significant hurdle in climate policy negotiations. Such illustrates the core challenge of achieving agreement on moral principles or equity considerations that should guide development policies. Integrated Assessment Models (IAMs), while influential shaping decisions, fall short factoring this normative To address issue, we developed an IAM framework called JUSTICE....

Abstract. The construction of the Akosombo and Kpong dams in Lower Volta River Basin Ghana changed downstream riverine ecosystem affected lives communities, particularly those who lost their traditional livelihoods. In contrast to costs borne by vicinity river, as a whole, has enjoyed vast economic benefits from affordable hydropower, irrigation schemes lake tourism that developed after dams. Herein lies challenge; there exists trade-off between water for river ecosystems related services on...

Integrated management of water reuse technologies and coordinated operations with other system components is fundamental to fully exploiting potential. Yet, these are primarily designed considering their individual efficiency more than possible synergies traditional practices. In this paper, we introduce a general-purpose framework that couples physical surrogate modelling optimal control methods support policy-makers in selecting robust efficient planning portfolios, integrating strategies...

Efficient multi-purpose reservoir control policies are crucial in the face of frequent and severe floods droughts, to balance water allocation across conflicting demands. Evolutionary Multi-Objective Direct Policy Search (EMODPS) is a popular approach design for systems. EMODPS, however, relies on experimental choices within key components framework particularly when coupling multi-objective evolutionary optimization with nonlinear approximation networks. This study explores suite radial...

Social vulnerability is a key concept that guides the design, evaluation, and targeting of humanitarian development programs worldwide. However, remains an abstract concept, many methodologies assessment tools exist to characterize vulnerability. What missing standardized framework determine which method most useful assess social sensitivity different methodologies.In this paper, we make headway in addressing gap by comparing two methods for assessing their case study Burkina Faso: 1)...

A resurgence of dam planning and construction is under way in several river basins where untapped hydropower potential could meet growing energy demands. In Africa, more than 300 new projects are consideration. Yet, expansion a contentious issue given the uncertainty water demand as well negative impacts these infrastructures on other sectors. Despite calls for comprehensive evaluation projects, most dams continue to be planned with traditional methods that neglect interdependencies between...

Emerging qualitative approaches for coping with deep uncertainty in water utilities have gained attention. However, their practical application remains limited. To address this, a Design Science approach was used to interview utility practitioners the Netherlands and Australia, along decision-making experts. The interviews were analyzed using Grounded Theory, resulting Adaptive Approach Adoption (Triple-A) framework. This framework enables evaluation of adaptive maturity suggests strategies...

We present a review that unifies decision-support methods for exploring the solutions produced by multi-objective optimization (MOO) algorithms. As MOO is applied to solve diverse problems, approaches analyzing trade-offs offered algorithms are scattered across fields. provide an overview of advances on this topic, including visualization, mining solution set, and uncertainty exploration as well emerging research directions, interactivity, explainability, ethics. synthesize these drawing...

&amp;lt;p&amp;gt;Fast population growth and economic development in several African countries is driving large infrastructure investments for growing energy, food water demands which will likely strain existing ecosystem services.&amp;amp;#160; To minimize negative impacts guarantee long-term success sustainability of these investments,&amp;amp;#160; careful management temporal planning new required. Our study focuses on the Zambezi River Basin (ZRB), a transboundary system supporting key...