10 research outputs found

    Sensitivity of non-conditional climatic variables to climate-change deep uncertainty using Markov Chain Monte Carlo simulation

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    This is the final version. Available on open access from Nature Research via the DOI in this recordData availability: The data that support the findings of this study are available from the corresponding author upon reasonable request.There is substantial evidence suggesting climate change is having an adverse impact on the world's water resources. One must remember, however, that climate change is beset by uncertainty. It is therefore meaningful for climate change impact assessments to be conducted with stochastic-based frameworks. The degree of uncertainty about the nature of a stochastic phenomenon may differ from one another. Deep uncertainty refers to a situation in which the parameters governing intervening probability distributions of the stochastic phenomenon are themselves subjected to some degree of uncertainty. In most climatic studies, however, the assessment of the role of deep-uncertain nature of climate change has been limited. This work contributes to fill this knowledge gap by developing a Markov Chain Monte Carlo (MCMC) analysis involving Bayes' theorem that merges the stochastic patterns of historical data (i.e., the prior distribution) and the regional climate models' (RCMs') generated climate scenarios (i.e., the likelihood function) to redefine the stochastic behavior of a non-conditional climatic variable under climate change conditions (i.e., the posterior distribution). This study accounts for the deep-uncertainty effect by evaluating the stochastic pattern of the central tendency measure of the posterior distributions through regenerating the MCMCs. The Karkheh River Basin, Iran, is chosen to evaluate the proposed method. The reason for selecting this case study was twofold. First, this basin has a central role in ensuring the region's water, food, and energy security. The other reason is the diverse topographic profile of the basin, which imposes predictive challenges for most RCMs. Our results indicate that, while in most seasons, with the notable exception of summer, one can expect a slight drop in the temperature in the near future, the average temperature would continue to rise until eventually surpassing the historically recorded values. The results also revealed that the 95% confidence interval of the central tendency measure of computed posterior probability distributions varies between 0.1 and 0.3 °C. The results suggest exercising caution when employing the RCMs' raw projections, especially in topographically diverse terrain.Iran National Science Foundation (INSF

    The sustainability of desalination as a remedy to the water crisis in the agriculture sector: An analysis from the climate-water-energy-food nexus perspective

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    This is the final version. Available on open access from Elsevier via the DOI in this recordData Availability: No data was used for the research described in the article.Over the years, desalination has become integral to water resources management, primarily in coastal semi-arid to arid regions. While desalinated seawater has mainly been supplied to municipal and high-revenue industries, the agriculture sector faces increasing irrigation demands, making it a potential user. This review assesses the sustainability of using desalinated seawater for irrigation, shedding light on its limitations and potential. Using desalinated water for irrigation presents challenges, including its high energy consumption, potential contribution to climate change, and agronomy-related concerns. However, evidence suggests that these challenges can be addressed effectively through tailor-fitted strategies. That said, conventional binary decision-making paradigms that label practices as good or bad and focus on a singular, isolated aspect are insufficient for evaluating the sustainability of desalination due to the complex and interconnected nature of the issues involved. To overcome this, the climate-water-energy-food (CWEF) nexus concept is proposed as a comprehensive framework for sustainability assessment. Adopting the CWEF nexus approach allows for a better understanding of the potential challenges associated with using desalinated water for irrigation, encompassing social, economic and environmental concerns. To ensure effective management of these challenges, it is crucial to tailor desalination projects to specific regional conditions and employ either prophylactic or corrective strategies. By embracing the CWEF nexus approach, informed decisions can be made regarding the future utilization of desalinated water for irrigation, contributing to broader sustainability goals

    A robust multiple-objective decision-making paradigm based on the water-energy-food security nexus under changing climate uncertainties

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    This is the final version. Available on open access from Nature Research via the DOI in this recordData availability; The data that support the findings of this study are available from the corresponding author upon reasonable request.From the perspective of the water-energy-food (WEF) security nexus, sustainable water-related infrastructure may hinge on multi-dimensional decision-making, which is subject to some level of uncertainties imposed by internal or external sources such as climate change. It is important to note that the impact of this phenomenon is not solely limited to the changing behavior patterns of hydro-climatic variables since it can also affect the other pillars of the WEF nexus both directly and indirectly. Failing to address these issues can be costly, especially for those projects with long-lasting economic lifetimes such as hydropower systems. Ideally, a robust plan can tolerate these projected changes in climatic behavior and their associated impacts on other sectors, while maintaining an acceptable performance concerning environmental, socio-economic, and technical factors. This study, thus, aims to develop a robust multiple-objective decision-support framework to address these concerns. In principle, while this framework is sensitive to the uncertainties associated with the climate change projections, it can account for the intricacies that are commonly associated with the WEF security network. To demonstrate the applicability of this new framework, the Karkheh River basin in Iran was selected as a case study due to its critical role in ensuring water, energy, and food security of the region. In addition to the status quo, a series of climate change projections (i.e., RCP 2.6, RCP 4.5, and RCP 8.5) were integrated into the proposed decision support framework as well. Resultantly, the mega decision matrix for this problem was composed of 56 evaluation criteria and 27 feasible alternatives. A TOPSIS/Entropy method was used to select the most robust renovation plan for a hydropower system in the basin by creating a robust and objective weighting mechanism to quantify the role of each sector in the decision-making process. Accordingly, in this case, the energy, food, and environment sectors are objectively more involved in the decision-making process. The results revealed that the role of the social aspect is practically negligible. The results also unveiled that while increasing the power plant capacity or the plant factor would be, seemingly, in favor of the energy sector, if all relevant factors are to be considered, the overall performance of the system might resultantly become sub-optimal, jeopardizing the security of other aspects of the water-energy-food nexus.Iran National Science Foundation (INSF

    Discourse over the sustainability of irrigation with desalinated water in light of the water-energy-food nexus

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    This is the final version. Available from EWRA via the link in this recordDesalinated seawater has gained increasing popularity as an option for water-stressed regions worldwide to meet a general increase in water demand across most sectors. Considering current water and food crises that are exacerbating in many regions, desalination has gained traction as a suitable solution to alleviate these problems as a potentially limitless alternative water source. The agricultural industry is the largest global water consumer and the sector that is most likely to benefit from this technology to meet the increasing demand for irrigation. Despite the technology’s considerable potential, there are numerous issues related the technology’s sustainability that may prevent it from becoming a widely used solution for irrigation purposes. However, being affected by numerous interconnected factors, water resources problems are nuanced and multi-disciplinary. To account for these intricacies in the evaluation of the sustainability of this option for irrigation, the concept of the Water-Energy-Food (WEF) Security Nexus can be used. This paper provides a preliminary evaluation of the sustainability of the use of desalinated water for irrigation considering the WEF Security Nexus

    A review of limitations and potentials of desalination as a sustainable source of water

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    This is the final version. Available on open access from Springer via the DOI in this recordData availability: All used data have been presented in the paper.For centuries, desalination, in one way or another, has helped alleviate water scarcity. Over time, desalination has gone through an evolutionary process influenced largely by available contemporary technology. This improvement, for the most part, was reflected in the energy efficiency and, in turn, in terms of the cost-effectiveness of this practice. Thanks to such advancements, by the 1960s, the desalination industry experienced notable exponential growth, becoming a formidable option to supplement conventional water resources with a reliable non-conventional resource. That said, often, there are pressing associated issues, most notably environmental, socioeconomic, health, and relatively recently, agronomic concerns. Such reservations raise the question of whether desalination is indeed a sustainable solution to current water supply problems. This is exceptionally important to understand in light of the looming water and food crises. This paper, thus, tends to review these potential issues from the sustainability perspective. It is concluded that the aforementioned issues are indeed major concerns, but they can be mitigated by actions that consider the local context. These may be either prophylactic, proactive measures that require careful planning to tailor the situation to best fit a given region or reactive measures such as incorporating pre- (e.g., removing particles, debris, microorganisms, suspended solids, and silt from the intake water prior to the desalination process) and post-treatments (e.g., reintroducing calcium and magnesium ions to water to enhance its quality for irrigation purposes) to target specific shortcomings of desalination

    No-free-lunch-theorem: a page taken from the computational intelligence for water resources planning and management

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    This is the author accepted manuscript. The final version is available from Springer via the DOI in this recordData availability: All used data have been presented in the paper.The long pursuit to alleviate the global water crisis has been riddled with revolutionary decision-making paradigms, forward-thinking theoretical concepts, and even ground-breaking technologies. This journey, however, is centered around the expectation of discovering what could be seen as the ultimate solution to all water-related problems. These nuances, revolutionary ideas, and cutting-edge technologies raise an ostensibly simple but fundamentally crucial question: Is there or can there ever be a singular universal ideal solution to address the water resources crisis that can potentially ensure the ideas of the sustainable development paradigm? This paper tends to take inspiration from the well-established no-free-lunch theorem (NFLT) to refute the possibility of such a solution in the context of water resources management. Such an interpretation also emphasizes that any remedy intended to address water resources issues must be tailored to the particular circumstances of each case. However, it should be noted that these findings are not intended to undermine the importance of current approaches but rather to emphasize how these concepts or technologies should be used as an inspiration to curate an ad hoc version of the said solution that can reflect local requirements or constraints

    Vaccination against hepatitis B among prisoners in Iran: Accelerated vs. classic vaccination

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    Background Prisoners and injecting drug users are at constant risk of hepatitis B virus (HBV) infection and the classic 6-months HBV vaccination might not provide immunization rapidly enough. In this randomized clinical trial we investigated the efficacy of an accelerated vaccination protocol vs. classic schedule among prisoners in Iran.Methods 180 prisoners were randomized into 2 vaccination groups; group A underwent accelerated vaccination at 0, 1, 4 and 8 weeks and group C were vaccinated at 0, 1 and 6 months. Antibody against Hepatitis-B surface-antigen (anti-HBs) was assessed at baseline, one, two, six and eight months after the first vaccine dose using immunoenzymatic assays. Seroprotection was defined as anti-HBs titer of 10 IU/L or more. Anti-HBc and HBsAg were measured at baseline and 8th month to evaluate new HBV infection and failure of vaccination.Results Overall compliance was 100% and 90.4% in groups A and C respectively. While seroprotection rate at one month was significantly higher in group A (22.4%) compared to group C (4.7%), in the 8th month 78.8% and 93.4% seroprotection was achieved in groups A and C respectively (P Hepatitis B virus Accelerated vaccination Seroprotection Compliance Immunization
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