Environmental exposure to active pharmaceutical ingredients (APIs) can have negative effects on the health of ecosystems and humans. While numerous studies have monitored APIs in rivers, these employ different analytical methods, measure different APIs, and have ignored many of the countries of the world. This makes it difficult to quantify the scale of the problem from a global perspective. Furthermore, comparison of the existing data, generated for different studies/regions/continents, is challenging due to the vast differences between the analytical methodologies employed. Here, we present a global-scale study of API pollution in 258 of the world’s rivers, representing the environmental influence of 471.4 million people across 137 geographic regions. Samples were obtained from 1,052 locations in 104 countries (representing all continents and 36 countries not previously studied for API contamination) and analyzed for 61 APIs. Highest cumulative API concentrations were observed in sub-Saharan Africa, south Asia, and South America. The most contaminated sites were in low- to middle-income countries and were associated with areas with poor wastewater and waste management infrastructure and pharmaceutical manufacturing. The most frequently detected APIs were carbamazepine, metformin, and caffeine (a compound also arising from lifestyle use), which were detected at over half of the sites monitored. Concentrations of at least one API at 25.7% of the sampling sites were greater than concentrations considered safe for aquatic organisms, or which are of concern in terms of selection for antimicrobial resistance. Therefore, pharmaceutical pollution poses a global threat to environmental and human health, as well as to delivery of the United Nations Sustainable Development Goals.

Water quality contamination by heavy metal pollution has severe effects on public health. In the Mashavera River Basin, an important agricultural area for the national food system in Georgia (e.g., vegetable, dairy and wine production), water contamination has multiple influences on the regional and country-wide health. With new industrial activities in the region, sediment extraction, and discharge of untreated wastewater into the river, its tributaries and irrigation canals, a comprehensive study of water quality was greatly needed. This study examined sediment and water samples from 17 sampling sites in the Mashavera River Basin during the high and low precipitation seasons. The results were characterized utilizing the Geo-accumulation Index (Igeo), Enrichment Factor (EF), Pollution Load index (PLI), Contamination Factor (CF) and Metal Index (MI). According to the CFs, Cu > Cd > Zn > Pb > Fe > Mn > Ni > Cr > Hg is the descending order for the content of all observed heavy metals in sediments collected in both seasons. Fe and As were additionally examined in water samples. Overall, As, Cd and Pb, all highly toxic elements, were found in high concentrations in downstream sample sites. According to these results, comprehensive monitoring with narrow intervals between sampling dates, more sample sites along all waterways, and proximate observation of multiple trace metal elements are highly recommended. Moreover, as the part of the water quality governance system, an immediate and sustainable collective action by all stakeholders to control the pollution level is highly recommended, as this issue is linked to the security of the national food system and poses a local public health risk.

Abstract:The management of water quality is an important part of natural resource governance. Assurance of water quality therefore requires formulation of the regulatory framework and institutional process. Water quality-related problems and their management are mainly recognized as local responsibilities in Integrated Water Resources Management (IWRM). The politics of environmental policy-making should consider the political economic dynamics and socio-ecological patterns. Decentralization by providing more power to the local level and moving to a new spatial management system that is based on water basins are the two strong entreaties in the new water governance paradigm. Transitional countries facing rapid institutional adjustment, restructuring of regulations, and political-economic changes are encountering these demands internally and externally in their policy formulations. In this context, this study critically examines the case of Georgia, a transitional country. In particular, the focus is on how local governance entities can be empowered and what obstacles water quality governance encounters in Georgia. Qualitative research design is the main research method implemented in this study. The key findings from the research analysis are as follows: the existing regulations and governance system do not facilitate the active engagement of local entities in water quality governance. The application of new water polices may fail again if a top-down governance model is put in place that only creates a narrow space for local governance entities to effectively govern water quality.

Competing natural resources usage that leads to dramatic land use changes can threaten the balance of a social-ecological system. When this is the case, communities are directly exposed to the negative consequences of those land use changes. The Mashavera River Basin is considered one of the hotspots of environmental pollution in Georgia. This is of importance for public health because the food production from this basin meets a substantial proportion of the country’s food demand. The farmers’ perception of the water quality and their perceived risks to the economy, health, and lifestyle reflect the status of the environmental and social conditions. The inclusion of farmers’ risk perceptions is an important stage of water quality governance that could enable active civic participation. The approach of this research study was the convergence model in the triangular design of the mixed method approach. As part of the social data, the research study was conducted with a survey of 177 households, for which agriculture was either a main or partial source of income. A few focus group discussions were also conducted. A binary logistic regression analysis was employed as the main method for the analysis. The results from the pollution load index (PLI) were used as the supportive data to verify some geospatial hypotheses. We found that aesthetic attributes (i.e., color changes observed in the river) and the source of the water contamination (i.e., mining sites) were the main predictor variables for a perceived risk to water quality, health, and livelihoods. The people who work in agriculture as the main income source had more concern about their ability to sell their agricultural products as a result of water contamination in the river, compared with people for whom agriculture is a secondary source of income or for self-consumption. Age, amount of land, years of agricultural experience, and the source of water supply for agriculture did not have a significant effect on any of the risk perception or water quality perception models. The results indicate that the health risk is perceived more strongly in areas with more heavily contaminated water compared to less polluted areas. We propose that conducting a public risk perception assessment is an ideal means to detect people’s concerns regarding water quality governance for future risk analysis in Georgia. Another recommendation of this study is an integrated model of risk assessment that combines the results from a public risk perception assessment and a technical assessment. The benefits of such an integrated assessment include finding new hazard-sensitive areas for further analysis, the possibility to cross-check data for verification, communal communication of hazardous conditions by utilizing local knowledge, and the direct participation of the community in monitoring risks.

No abstract

No abstract

No abstract

This study aims to identify the methods and associated indicators that are commonly used in value chain analyses (VCA) and to determine the areas of interest that have been excluded. Value chain analysis generally includes four different dimensions, which are institutional/functional, economic/financial, social, and environmental. This study has two main sources of literature. The first is the guidelines and the other is case studies on value chain analysis. The case study review is limited by the time between 2000 and 2022. The results showed that the researchers mainly focused on the institutional/functional analysis of the value chain, which is the first step of the analysis. Studies were mostly concentrated on the mapping of value chains, which includes the mapping of agents, core activities, and the marketing channels and flows of products. The second important area of interest is economic/financial analysis. Value added analysis is a top research area on the economical side of the value chain (VC). Consumer behavior and financial analysis are also included in the case studies. The research on consumer behavior of the value chain analysis has focused on the preferences, attitudes, and behaviors of the consumers. Financial analysis is another area of interest which generally concentrates on the cost of intermediate inputs, total output value, net present value, internal rate of return, cash flows and cost of fixed assets, and break-even point. The social and environmental sides of the value chain have been studied with less attention. This is much more important for a sustainable food VC.