What is the best biomarker to assess arsenic exposure via drinking water?

Arsenic (As) is a ubiquitous element. The current WHO guideline for As in drinking water is 10 μg/L. Furthermore, about 130 million people have only access to drinking water containing more than 10 gAs/L. Although numerous studies have shown the related adverse effects of As, sensitive appropriate biomarkers are still required for studies of environmental epidemiology. A review of the literature has shown that various biomarkers are used for such research. Their limits and advantages are highlighted in this paper: (i) the detection of As or its derivatives in the blood is an indication of the dose ingested but it is not evidence of chronic intoxication. (ii) The detection of As in urine is an indispensible procedure because it is a good marker for internal dose. It has been demonstrated to correlate well for a number of chronic effects related to As levels in drinking water. However confounding factors must be taken into account to avoid misinterpretation and this may require As speciation. (iii) As in the hair and nails reflects the level of long term exposure but it is difficult to relate the level with the dose ingested. (iv) Some studies showed a correlation between urinary As and urinary and blood porphyrins. However, it is difficult to use only porphyrins as a biomarker in a population survey carried out without doing further studies. (v) Genotoxic effects are based on the characterization of these potential effects. Most studies have detected increases in DNA damage, sister chromatid exchange, micronuclei or chromosomal aberrations in populations exposed to As in drinking water. Micronuclei assay is the technique of choice to follow these populations, because it is sensitive and easy to use.To conclude, whatever epidemiological studies are, the urinary and toenail biomarkers are useful to provide indications of internal dose. Moreover, micronuclei assay can be complementary use as biomarker of early effects.     

What is “Chernobyl Syndrome?” The Use of Radiophobia in Nuclear Communications

This article examines the use of “radiophobia,” “Chernobyl syndrome,” “irrationality,” and other similar concepts in communications on nuclear issues. Historically, these terms have been used in two ways: to describe psychological effects among people affected by nuclear disasters such as Hiroshima or Chernobyl, and to explain the concerns of the unaffected lay public about radiation or nuclear power projects. The latter was actively used in the Soviet Union and in post-Soviet countries such as Belarus to rejects citizens’ complaints and to denounce the arguments of the anti-nuclear camp. This study argues that although the terms can legitimately be used in many situations, their use in communications about nuclear issues can be problematic.     

What can we learn from monitoring PCBs in the European eel? A Belgian experience

Between 2000 and 2007 pooled muscle tissue samples of the European eel (Anguilla anguilla) from 48 sites in Flanders (Belgium) were analysed for 30 polychlorinated biphenyl (PCB) congeners. There was a large variation between individual sites (range 11-7752 ng/g wet weight (ww) for the sum of the ICES 7 PCBs), eels from the River Meuse basin (mean 1545 ng/g ww) being considerably more polluted than those from the River Scheldt (615) and IJzer (61) basins. Overall, PCB 153, PCB 138 and PCB 180 were the most prominent congeners, however PCB patterns varied between the monitored locations. Analysis of the weight percentage of congeners demonstrates obvious differences in PCB composition between sites, indicating differential sources of pollution. Due to the variation in patterns, atmospheric fallout does not seem to be the main source of the PCB spread, but instead both local and upstream sources linked to industrial activities seem to be the main cause for PCB presence in Flanders. Considering the levels of the Sum 7 PCBs, eels are not compliant with the Belgian legal limits for consumption (75 ng/g ww) in 71% of the sites. Regular consumption of eels from polluted sites leads to a considerable excess of the WHO Acceptable Daily Intake value. Consumption of wild eels should by all means be prevented, as it presents risks for human health, especially for local anglers consuming their catch.     

Green,blue or black,but washing–What company characteristics determine greenwashing?

Environment, Development and Sustainability - The purpose of this paper is to study what are the characteristics that make firms less or more prone to greenwashing. We collect data from...     

What Is the Environment Doing in My Report? Analyzing the Environment-as-Stakeholder Thesis through Corpus Linguistics

This paper seeks to explore whether business organizations' claims to regard the natural environment as a stakeholder are consistent with the way in which the environment is represented in their corporate social responsibility reporting. It applies corpus linguistic methods to analyze statistical regularities and differences in the discursive construction of core stakeholders, such as customers and employees, and that of the natural environment. Results show that the representation of the environment is not characterized by the agency and capacity for engagement that characterizes other stakeholders. While organizations overtly acknowledge a duty toward the environment, the dominant lexical and grammatical patterns in which it is represented tend to obscure the organization's responsibilities and emphasize its mitigating actions instead. Although the argument for regarding the environment as a stakeholder is based on the fact that it places objective and compelling demands on our actions, we look in vain for recognition of such demands in organizational reporting.     

Nature,Crisis, Risk,Science, and Society: What is Our Ethical Responsibility?

In his keynote address, Robert Cox raised key questions, many of which force us to consider the larger question of the role of academics in society. The authors respond by suggesting that environmental communication, like other communication studies, is inherently normative and that environmental communication scholarship is closely aligned to risk as a centerpiece to crisis analysis. The authors discuss the productive connections among science, communication and sound public policy that make society more fully functional, including the formation of effective public policy through science that is normative while seeking objectivity, evaluating and symbolizing motives in discourse, acknowledging uncertainty and acceptable uncertainty, and that material and symbolic dimensions of the environment are interdependent. Thus, such studies focus on the ethics of environment and must balance sound science and cultural considerations.     

What drives the water quality changes in the Selenga Basin: climate change or socio-economic development?

Regional Environmental Change - Lake Baikal is the largest near-surface global freshwater source and of high interest for water quality alterations, as deterioration of water quality is a main...     

What has caused regional income inequality in China? Effects of 10 socioeconomic factors on per capita income

This study analyzes the driving factors behind regional income inequality to provide an important reference for China and other developing countries and to support the formulation of more effective regional development policies. The study used data from 625 county-level administrative units in China in 2017 and conducted a total factor analysis of China's regional income based on 10 economic dimensions using spatially explicit regression methods. The results show that commerce, population footprint, industrialization, and investment are the main factors that affected a Chinese region’s income, but different factors have different degrees of influence in different regions. The impact of economic institutions (developing an institutionally diverse market economy) on income cannot be ignored. Based on our findings, China should give local governments more autonomy, so they can formulate strategies that account for local constraints and opportunities, thereby increasing their chances of decreasing regional income inequality.

     

What are distributed lag models of particulate matter air pollution estimating when there are populations of frail individuals?

The three-state (healthy, frail, and dead) population model is commonly used in time-series investigations of mortality displacement and particulate matter air pollution (PM). In this paper, the author proposes a new population model, called the mixture population model, that by allowing PM to have differential effects on individuals in the population, extends the population models currently used in investigations of mortality displacement. Using this new model, the properties of distributed lag models (DLM) of PM are investigated. In particular, the author derives a relationship between the parameters of the proposed population model and the estimates obtained from a DLM fitted to mortality arising from the model. This relationship provides insight into the interrelationships between the size of the frail population, the number of lags of PM included in a DLM and the proportion of the effect of PM on the healthy population that is estimable. The relationship will guide and contextualize future investigations by providing researchers with the knowledge to assess the consequences of the number of lags of PM included in a DLM in terms of what they can plausibly infer about the effect of PM on mortality based on this choice of lag.     

What can water utilities do to improve risk management within their business functions? An improved tool and application of process benchmarking

We present a model for benchmarking risk analysis and risk based decision making practice within organisations. It draws on behavioural and normative risk research, the principles of capability maturity modelling and our empirical observations. It codifies the processes of risk analysis and risk based decision making within a framework that distinguishes between different levels of maturity. Application of the model is detailed within the selected business functions of a water and wastewater utility. Observed risk analysis and risk based decision making practices are discussed, together with their maturity of implementation. The findings provide academics, utility professionals, and regulators a deeper understanding of the practical and theoretical underpinnings of risk management, and how distinctions can be made between organisational capabilities in this essential business process.     

Measuring environmental stress in East Greenland polar bears, 1892–1927 and 1988–2009: What does hair cortisol tell us?

Hair sampled from 96 East Greenland polar bears (Ursus maritimus) over the periods 1892–1927 and 1988–2009 was analyzed for cortisol as a proxy to investigate temporal patterns of environmental stress. Cortisol concentration was independent of sex and age, and was found at significantly higher (p < 0.001) concentrations in historical hair samples (1892–1927; n = 8) relative to recent ones (1988–2009; n = 88). In addition, there was a linear time trend in cortisol concentration of the recent samples (p < 0.01), with an annual decrease of 2.7%. The recent hair samples were also analyzed for major bioaccumulative, persistent organic pollutants (POPs). There were no obvious POP related time trends or correlations between hair cortisol and hair POP concentrations. Thus, polar bear hair appears to be a relatively poor indicator of the animal's general POP load in adipose tissue. However, further investigations are warranted to explore the reasons for the temporal decrease found in the bears' hair cortisol levels.     

What is in an index? Construction method,data metric,and weighting scheme determine the outcome of composite social vulnerability indices in New York City

Mapping social vulnerability is a prominent way to identify regions in which the lack of capacity to cope with the impacts of weather extremes is nested in the social setting, aiding climate change adaptation for vulnerable residents, neighborhoods, or localities. Calculating social vulnerability usually involves the construction of a composite index, for which several construction methods have been suggested. However, thorough investigation of results across methods or applied weighting of vulnerability factors is largely missing. This study investigates the outcome of the variable addition—both with and without weighting of single vulnerability factors—and the variable reduction approach/model on social vulnerability indices calculated for New York City. Weighting is based on scientific assessment reports on climate change impacts in New York City. Additionally, the study calculates the outcome on social vulnerability when using either area-based (person/km²) or population-based (%) input data. The study reveals remarkable differences between indices particularly when using different methods but also when using different metrics as input data. The variable addition model has deductive advantages, whereas the variable reduction model is useful when the strength of factors of social vulnerability is unknown. The use of area-based data seems preferable to population-based data when differences are taken as a measure of credibility and quality. Results are important for all forms of vulnerability mapping using index construction techniques.

     

What are the implications of sea-level rise for a 1.5, 2 and 3 °C rise in global mean temperatures in the Ganges-Brahmaputra-Meghna and other vulnerable deltas?

Even if climate change mitigation is successful, sea levels will keep rising. With subsidence, relative sea-level rise represents a long-term threat to low-lying deltas. A large part of coastal Bangladesh was analysed using the Delta Dynamic Integrated Emulator Model to determine changes in flood depth, area and population affected given sea-level rise equivalent to global mean temperature rises of 1.5, 2.0 and 3.0 °C with respect to pre-industrial for three ensemble members of a modified A1B scenario. Annual climate variability today (with approximately 1.0 °C of warming) is potentially more important, in terms of coastal impacts, than an additional 0.5 °C warming. In coastal Bangladesh, the average depth of flooding in protected areas is projected to double to between 0.07 and 0.09 m when temperatures are projected at 3.0 °C compared with 1.5 °C. In unprotected areas, the depth of flooding is projected to increase by approximately 50% to 0.21–0.27 m, whilst the average area inundated increases 2.5 times (from 5 to 13% of the region) in the same temperature frame. The greatest area of land flooded is projected in the central and north-east regions. In contrast, lower flood depths, less land area flooded and fewer people are projected in the poldered west of the region. Over multi-centennial timescales, climate change mitigation and controlled sedimentation to maintain relative delta height are key to a delta’s survival. With slow rates of sea-level rise, adaptation remains possible, but further support is required. Monitoring of sea-level rise and subsidence in deltas is recommended, together with improved datasets of elevation.