Water and Development Strategy: Implementation Field Guide

This document is intended to serve as a reference tool to help USAID Operating Units understand and apply the agency's 2013-2018 Water and Development Strategy. By publicly sharing the document, USAID aims to ensure coordination of their efforts with the wider water sector. The Field Guide will be periodically updated and comments from readers are welcome

Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions

Energy systems planning commonly involves the study of supply and demand of power, forecasting the trends of parameters established on economics and technical criteria of models. Numerous measures are needed for the fulfillment of energy system assessment and the investment plans. The higher energy prices which call for diversification of energy systems and managing the resolution of conflicts are the results of high energy demand for growing economies. Due to some challenging problems of fossil fuels, energy production and distribution from alternative sources are getting more attention. This study aimed to reveal the most proper energy systems in Saudi Arabia for investment. Hence, integrated fuzzy AHP (Analytic Hierarchy Process), fuzzy VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje) and TOPSIS (Technique for Order Preferences by Similarity to Idle Solution) methodologies were employed to determine the most eligible energy systems for investment. Eight alternative energy systems were assessed against nine criteria—power generation capacity, efficiency, storability, safety, air pollution, being depletable, net present value, enhanced local economic development, and government support. Data were collected using the Delphi method, a team of three decision-makers (DMs) was established in a heterogeneous manner with the addition of nine domain experts to carry out the analysis. The fuzzy AHP approach was used for clarifying the weight of criteria and fuzzy VIKOR and TOPSIS were utilized for ordering the alternative energy systems according to their investment priority. On the other hand, sensitivity analysis was carried out to determine the priority of investment for energy systems and comparison of them using the weight of group utility and fuzzy DEA (Data Envelopment Analysis) approaches. The results and findings suggested that solar photovoltaic (PV) is the paramount renewable energy system for investment, according to both fuzzy VIKOR and fuzzy TOPSIS approaches. In this context our findings were compared with other works comprehensively.This research was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant no. (RG-7-135-38). The authors, therefore, acknowledge with thanks DSR technical and financial support

Bioclimatology, structure, and conservation perspectives of Quercus pyrenaica, Acer opalus subsp. Granatensis, and Corylus avellana deciduous forests on Mediterranean bioclimate in the South-Central part of the Iberian Peninsula

The plant variability in the southern Iberian Peninsula consists of around 3500 different taxa due to its high bioclimatic, geographic, and geological diversity. The deciduous forests in the southern Iberian Peninsula are located in regions with topographies and specific bioclimatic conditions that allow for the survival of taxa that are typical of cooler and wetter bioclimatic regions and therefore represent the relict evidence of colder and more humid paleoclimatic conditions. The floristic composition of 421 samples of deciduous forests in the south-central part of the Iberian Peninsula were analyzed. The ecological importance index (IVI) was calculated, where the most important tree species were Quercuspyrenaica, Aceropalus subsp. Granatensis, and Corylusavellana. These species are uncommon in the south-central part of the Iberian Peninsula, forming forests of little extension. An analysis of the vertical distribution of the species (stratum) shows that the majority of the species of stratum 3 (hemicriptophics, camephytes, geophites, and nanophanerophytes) are characteristic of deciduous forests, and their presence is positively correlated with high values of bioclimatic variables related to humidity and presence of water in the soil (nemoral environments), while they are negatively correlated with high values of bioclimatic variables related to high temperatures, evapotranspiration, and aridity. This work demonstrates that several characteristic deciduous forest taxa are more vulnerable to disappearance due to the loss of their nemoral conditions caused by gaps in the tree or shrub canopy. These gaps lead to an increase in evapotranspiration, excess insolation, and a consequent loss of water and humidity in the microclimatic conditions.info:eu-repo/semantics/publishedVersio

Impure Public Goods and Technological Interdependencies

Impure public goods represent an important group of goods. Almost every public good exerts not only effects which are public to all but also effects which are private to the producer of this good. What is often omitted in the analysis of impure public goods is the fact that – regularly – these private effects can also be generated independently of the public good. In our analysis we focus on the effects alternative technologies – independently generating the private effects of the public good – may have on the provision of impure public goods. After the investigation in an analytical impure public good model, we numerically simulate the effects of alternative technologies in a parameterized model for climate policy in Germany.Impure public goods, Climate policy, Rationing

Modeling endogenous learning and imperfect competition effects in climate change economics

In this two-part paper we evaluate the effect of "endogenizing” technological learning and strategic behavior of agents in economic models used to assess climate change policies. In the first part we show the potential impact of R&D policies or demonstration and deployment (D&D) programs in the context of stringent stabilization scenarios. In the second part we show how game-theoretic methods can be implemented in climate change economic models to take into account three types of strategic interactions: (i) the market power of the countries benefiting from very low abatement costs on international markets for CO2 emissions, (ii) the strategic behavior of governments in the domestic allocation of CO2 emissions quotas, and (iii) the non-cooperative behavior of countries and regions in the burden sharing of CO2 concentration stabilization. The two topics of endogenous learning and game-theoretic approach to economic modeling are two manifestations of the need to take into account the strategic behavior of agents in the evaluation of climate change policies. In the first case an R&D policy or a demonstration and deployment (D&D) program are put in place in order to attain a cost reduction through the learning effect; in the second case the agents (countries) reply optimally to the actions decided by the other agents by exploiting their strategic advantages. Simulations based on integrated assessment models illustrate the approaches. These studies have been conducted under the Swiss NCCR-Climate progra

Research and Education in Computational Science and Engineering

Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie

Review of macroeconomic approaches to modelling Wellbeing, Inclusion, and Sustainability

In response to the urgent global challenges of climate change and rising inequality, the need to re-evaluate our traditional economic models and adopt new approaches focused on sustainability, wellbeing, and inclusion has become evident. The current economic paradigms, based on equilibrium thinking and GDP-centric measurements, have proven inadequate in addressing the intricate interplay between economic, social, and environmental dimensions. As we embark on a transformative journey towards a sustainable and equitable future, it is crucial to adopt diverse modelling approaches to provide policymakers and stakeholders with informed decision-making tools. This report delves into the analysis of five different macroeconomic model types (general equilibrium models, macro-econometric & input-output models, stockflow-consistent models, integrated assessment models, and system dynamics models), evaluating their respective strengths and weaknesses to propose an integrated framework that encompasses the multifaceted nature of our world. A key recommendation is to improve existing models by enhancing their dynamics and feedback loops between dimensions and systems, thus better reflecting the interactions and effects of different social and economic policies. Striking a balance between complexity and transparency is essential, ensuring that models remain flexible and capable of linking with models with greater detail but narrower focus. The report emphasizes the incorporation of WISE accounts (detailed data on Wellbeing, Inclusion, Sustainability, and Economy that will be collected and harmonized during the project) into macroeconomic models as an opportunity to overcome the challenge of data availability, which poses a significant obstacle in modelling endeavours. Robust and reliable data sources are crucial to the success of any model and require continual improvement in data collection processes. To broaden our understanding of the dynamics of WISE dimensions and the potential impacts of policies, integrating alternative perspectives, such as heterodox economics, can offer valuable insights. Co-creating quantitative analysis with stakeholders enhances ownership and uptake of the models and may help with bridging the gap between research and policy implementation. Furthermore, an integrated modelling framework that accounts for the non-linear interactions between human and earth systems is necessary to properly assess policies tackling 21st century challenges in the context of WISE dimensions. This integrated model should draw upon the data of WISE accounts and synergize elements of Input-Output models, System-Dynamics, and Stock-Flow consistent models to provide a structured tool for policymakers and researchers in shaping a sustainable and inclusive future