Community air monitoring for pesticides. Part 1: selecting pesticides and a community

The CA Department of Pesticide Regulation (CDPR) developed methods to select pesticides and a community to fulfill criteria for an ambient air monitoring study it conducted as part of the CA Environmental Protection Agency's Environmental Justice Action Plan. Using a scoring system, CDPR evaluated 100 pesticides based on statewide-reported pesticide use, volatility, and priority in CDPR's risk assessment process (indicators of exposure and toxicity) to produce a list of pesticides to consider as candidates for monitoring. The CDPR also evaluated and scored 83 communities based on demographics and health factors, availability of cumulative impacts data, and reported pesticide use to create a list of community candidates. The scores provide relative rankings to distinguish more highly impacted communities from less impacted ones and to identify which pesticides might contribute most to potential adverse health effects. These methods use criteria that can be quantified, validated, and verified in order to provide a transparent and fair selection process. Based on public comments and highest scores, CDPR recommended 40 pesticides (including some of their degradation products) and one community for its yearlong monitoring study. The CDPR then further refined its list of pesticides by soliciting input from local and technical advisory groups. The CDPR plans to use these methods to select pesticides and communities in future monitoring activities.     

Cumulative risk assessment for an urban agglomeration based on a relative risk model and multi-media fugacity model: A case study in Guangdong province,China

Urban agglomeration, which is an organism with distinct organizational characteristics, differs from a single city. In its policy-level environmental impact assessment, the ecological and health risks need to be addressed in a unified manner, because multiple cities interact and influence each other, and the environmental risks have multiple elements, multiple processes, and multiple effect interaction and superposition. To this end, this study proposed a regional-level cumulative risk assessment framework coupling a relative risk model (RRM) with a multi-media fugacity model (MFM). The RRM translated the risk causal relations into four city-differentiated matrices, which consisted of normalized factors (NFs), ranging from 0 to 1, that were indicative of the impact intensity and possibility. The MFM was embedded into the RRM to generate the NFs. The NFs were multiplied for each city-source-endpoint combination to get the overall risk score, and the score provided policy references. This framework was applied to Guangdong Province of China (GD). As heavy metal contamination is one of the GD's major concerns, this study analyzed their cumulative risks due to industrialization for the year 2020 and compared the city level and industrial level risk scores. The results showed that the central part of GD was under the highest risk, with Guangzhou, Foshan, and Jiangmen having the highest risk. From the perspective of the risk pressure sources, Pb and Cd were the biggest stressors. Non-ferrous/ferrous metals mining and processing and metal products manufacturing were the major threats. As these industries gain greater footholds in the GD's ecologically susceptible region, the relevant policies should be elaborately designed before new entrants commence their operations.     

Analysis of spatial-temporal association and factors influencing environmental pollution incidents in China

Environmental risk refers to the possibility of environmental pollution events caused by natural causes or human activities. Environmental risks are transmitted through environmental media and can have destructive effects on human society and the natural environment. Understanding the current status and characteristics of environmental risks can effectively prevent and control environmental risks, which is essential for establishing the safety of ecological systems. Although many scholars have studied the environmental risk characteristics of different enterprises or regional scales and proposed corresponding control methods. However, the study of environmental risk characteristics in the national scale is still insufficient, which affects the accuracy of large-scale environmental impact assessment (EIA) and is not conducive to the formulation of the large-scale environmental management system. This paper attempts to use spatial statistical methods and geographically weighted regression (GWR) models to study the temporal and spatial evolution trends of environmental events in China and the spatial correlation characteristics of influencing factors and environmental events in different regions. The research results show that the focus of China's environmental risk is continuously shifting. At present, environmental pollution incidents are concentrated in the western region, and their spatial correlation with influencing factors varies from region to region. Spatial statistical analysis can help us understand the spatial characteristics of risk and identify the interrelationships of environmental risks in different areas. Therefore, spatial statistical analysis can provide a scientific basis for macro decision-making of large regional EIA and environmental risk management. In the future, it is recommended that the focus of environmental events in different regions should be different to reduce the risk of environmental events in China.     

A Comparative Study of Risk Appraisal: A New Look at Risk Assessment in Different Countries

This study examines perceived risk data from the U.S., China, Japan, and South Korea. These data are then compared with similar results collected from previous studies. Psychometric scaling scores from Burkino Faso (a West African Country), France, Norway, and Hungary have been analyzed and compared with results from our study. The data reveal certain risk events like nuclear weapons, war, and AIDS to have high perceived risks in all countries. These data also show that many of the events have dissimilar perceived risks in different countries. The conclusions also show some countries have higher over all levels of perceive risk (South Korea) while others like the United States display generally lower values.     

太湖饮用水源地水环境健康风险评价

介绍了水环境健康风险评价方法,并根据太湖饮用水源地水环境质量监测数据,对4个饮用水源地通过饮水途径引起的水环境健康风险进行了评价。结果表明,2005～2009年,4个饮用水源地水环境健康个人年风险多数超过国际辐射防护委员会(ICRP)推荐的标准,主要风险因子为化学致癌物六价铬和砷;化学致癌物对人体健康危害个人年风险度远高于非化学致癌物;化学致癌物所致健康危害的个人年风险呈波动降低变化,非化学致癌物所致健康危害的个人年风险基本保持稳定。     

Urban stormwater harvesting and reuse: a probe into the chemical, toxicology and microbiological contaminants in water quality

Stormwater is one of the last major untapped urban water resources that can be exploited as an alternative water source in Australia. The information in the current Australian Guidelines for Water Recycling relating to stormwater harvesting and reuse only emphasises on a limited number of stormwater quality parameters. In order to supply stormwater as a source for higher value end-uses, a more comprehensive assessment on the potential public health risks has to be undertaken. Owing to the stochastic variations in rainfall, catchment hydrology and also the types of non-point pollution sources that can provide contaminants relating to different anthropogenic activities and catchment land uses, the characterisation of public health risks in stormwater is complex, tedious and not always possible through the conventional detection and analytical methods. In this study, a holistic approach was undertaken to assess the potential public health risks in urban stormwater samples from a medium-density residential catchment. A combined chemical–toxicological assessment was used to characterise the potential health risks arising from chemical contaminants, while a combination of standard culture methods and quantitative polymerase chain reaction (qPCR) methods was used for detection and quantification of faecal indicator bacteria (FIB) and pathogens in urban stormwater. Results showed that the concentration of chemical contaminants and associated toxicity were relatively low when benchmarked against other alternative water sources such as recycled wastewater. However, the concentrations of heavy metals particularly cadmium and lead have exceeded the Australian guideline values, indicating potential public health risks. Also, high numbers of FIB were detected in urban stormwater samples obtained from wet weather events. In addition, qPCR detection of human-related pathogens suggested there are frequent sewage ingressions into the urban stormwater runoff during wet weather events. Further water quality monitoring study will be conducted at different contrasting urban catchments in order to undertake a more comprehensive public health risk assessment for urban stormwater.     

Spatial distribution and risk assessment of heavy metals in sediments from a hypertrophic plateau lake Dianchi, China

The sediment in Dianchi Lake, a hypereutrophic plateau lake in southwest China, was investigated and the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, Fe, Mn, and Cd) in the sediment and sediment properties were determined. Their spatial distribution and sources were analyzed using multivariate statistics. The result indicated that the studied metals exhibited three distinct spatial patterns; that is, Cu, Pb, Zn, and Ni had a similar distribution, with a concentration gradient from the north to the south part of the lake; Cd and Cr presented a similar distribution; Fe and Mn presented a quite different distribution than other metals, which indicated their different sources and geochemistry processes. Correlation and cluster analysis (CA) provided origin information on these metals and the CA result was observed corresponding to those three spatial patterns. Principal component analysis further displayed metal source and driving factors; that is, Cu, Pb, Zn, Ni, Cd, and Cr were mainly derived from anthropogenic sources, and Fe and Mn were mainly the result of natural processes. Sediment assessment was conducted using geoaccumulation index (Igeo), potential ecological risk indices, and USEPA guidelines. The result indicated that, generally, Cd was the most serious risk metal; Pb and Cu posed moderate potential ecological risk; Cr, Zn, and Ni had slight ecological risk; Fe and Mn had little risk. Comparison of the assessment tools showed that each of the methods had its limitation and could bias the result, and the combined use of the methodologies and local knowledge on lithology or metal background value of soil in the practice would give a more comprehensive understanding of the metal risk or pollution. Statistical analysis also indicated that nutrients had different impacts on Fe, Mn, and trace elements, which implied that in the assessment of metal risk, nutrients impact should be taken into consideration especially for eutrophic waters.     

Examples of the role of analytical chemistry in environmental risk management research

Analytical chemistry is an important tier of environmental protection and has been traditionally linked to compliance and/or exposure monitoring activities for environmental contaminants. The adoption of the risk management paradigm has led to special challenges for analytical chemistry applied to environmental risk analysis. Namely, methods developed for regulated contaminants may not be appropriate and/or applicable to risk management scenarios. This paper contains examples of analytical chemistry applied to risk management challenges broken down by the analytical approach and analyte for some selected work in our laboratory. Specific techniques discussed include stable association complex electrospray mass spectrometry (cESI-MS), gas chromatography-mass spectrometry (GC-MS), split-flow thin cell (SPLITT) fractionation and matrix-assisted laser desorption time of flight mass spectrometry (MALDI-ToF-MS). Specific analytes include haloacetic acids (HAA9), perchlorate, bromate, triazine degradation products, metal-contaminated colloids and Cryptosporidium parvum oocysts.     

A nationally consistent framework for identifying interstate waters with applications for the national listing of fish advisories

A 1988 survey, funded by the US Environmental Protection Agency (EPA) and conducted by the American Fisheries Society, identified the need to standardize the approaches for evaluating risks and developing fish consumption advisories that are comparable across different jurisdictions. A major tool for evaluating the progress in developing such nationally consistent information is EPA??s web-based National Listing of Fish Advisories (NLFA) database, which has archived fish advisory information since 1993. The NLFA comprises both a database and Geographic Information System mapping components that are implemented using the National Hydrography Dataset (NHD). EPA and the US Geological Survey have developed an enhanced NHD product (NHDPlus) that is applied to define an interstate waters framework for the conterminous USA. This NHDPlus-based framework provides an efficient watershed-oriented approach for identifying interstate advisories from NLFA. We provide summaries of (1) the degree of consistency documented for inland waters where states have issued advisories for shared interstate NHD reaches and (2) the patterns for interstate advisories organized according to the ecoregions developed for EPA??s Wadeable Streams Assessment. Approaches are also discussed for addressing interstate consistency issues for fish advisories in coastal waters making use of the NHDPlus combined with other nationally consistent frameworks, such as the 12-digit hydrologic unit code subwatersheds in the Watershed Boundary Dataset. Probability survey methods are recommended as a way to promote increased interjurisdictional consistency in the development of the monitoring and risk assessment conclusions reflected in NLFA, as well as in other EPA water quality-based programs.     

Adapting social impact assessment to address a project's human rights impacts and risks

We address the weaknesses inherent in the social risk assessments undertaken for business, especially in the extractive industries. In contrast to the conventional approach that considers consequence to the company rather than to impacted communities, conformance with the United Nations Guiding Principles on Business and Human Rights requires that consequence to affected communities has precedence. In order for social risks to be properly assessed, we consider that: companies need to know and understand the human rights impacts of their activities; contemporary approaches to project impact and risk assessment need to be adapted to consider human rights; and environmental impact assessment (EIA) and social impact assessment (SIA) methods need to be adapted to give greater attention to impacts on human rights. Using an example from the mining, oil and gas sector, we provide a method that differentiates social risks from business risks, and we position impact assessment as an instrument that actively facilitates the improved identification, analysis and management of social risks. Practical adaptations to SIA activities and risk assessment processes are provided. Taking human rights impacts into account and using the dimensions of gravity, extent, vulnerability and remediability, we nominate criteria to assess the significance of negative social impacts.     

Mapping landscape spaces: Methods for understanding spatial-visual characteristics in landscape design

Mapping landscape spaces by means of manual and modern technology enables landscape architects to describe, understand, and interpret spatial-visual properties of landscape. This can help to strengthen the body of knowledge of spatial design in landscape architecture through measurement and visualization of common concepts in the field, as well as through the possibility to explore spatial-visual landscape features that was not possible before. Despite the wide ranging possibilities and the methods available for mapping landscape spaces, there is evidence that its potential is often still underutilized mainly due to a lack of awareness. This paper aims to contribute to the increase of awareness by providing an overview of mapping methods and tools that can be used to study spatial-visual characteristics in the field of landscape architecture, and show the potentialities of its application by brief examples. This paper introduces six categories of mapping methods: compartment analysis, 3D landscapes, grid cell analysis, visibility analysis, landscape metrics, and eye-tracking analysis. These methods are used to explore, for spatial design in landscape architecture, crucial spatial-visual categories sequence, orientation, continuity, and complexity in an analogue and digital way. The Vondelpark, a well-known urban park in the Netherlands, is used to exemplify how the spatial features can be mapped by means of the mapping methods.     

Screening and prioritisation of chemical risks from metal mining operations, identifying exposure media of concern

Metals have been central to the development of human civilisation from the Bronze Age to modern times, although in the past, metal mining and smelting have been the cause of serious environmental pollution with the potential to harm human health. Despite problems from artisanal mining in some developing countries, modern mining to Western standards now uses the best available mining technology combined with environmental monitoring, mitigation and remediation measures to limit emissions to the environment. This paper develops risk screening and prioritisation methods previously used for contaminated land on military and civilian sites and engineering systems for the analysis and prioritisation of chemical risks from modern metal mining operations. It uses hierarchical holographic modelling and multi-criteria decision making to analyse and prioritise the risks from potentially hazardous inorganic chemical substances released by mining operations. A case study of an active platinum group metals mine in South Africa is used to demonstrate the potential of the method. This risk-based methodology for identifying, filtering and ranking mining-related environmental and human health risks can be used to identify exposure media of greatest concern to inform risk management. It also provides a practical decision-making tool for mine acquisition and helps to communicate risk to all members of mining operation teams.     

Assessment of risk factors in forest road design and construction activities with fuzzy analytic hierarchy process approach in Turkey

Forest road design and construction are time-consuming and complicated because various risk factors can be encountered during the process. The aim of this study is to comprehensively assess the risk factors in forest road design and construction using the fuzzy analytic hierarchy process (AHP) method in Turkey, thus contributing to the proper performance of these activities. Within the scope of the study, six main risk factors and 22 sub-risk factors were identified based on literature review. In order to determine the weights of the relevant risk factors, the opinions of three different groups [(group 1: academicians), (group 2: forest engineers (private sector employees + public sector employees)), (group 3: group 1 + group 2)] about the risk factors were obtained. Relevant risk factor weights were determined using the fuzzy AHP method. According to group 3, the most important main risk factors are technical risks and environmental risks. In addition, the most important sub-risk factors for each relevant main risk factor were incorrect road alignment, inadequate work safety in the field, insufficient capital, legal problems on the road alignment, landslide risk during road construction, and illegal logging. Differences were observed between groups 1 and 2 in the weight rankings of relevant risk factor. The results demonstrate that the fuzzy AHP method can be used effectively to assess the risks of forest road design and construction.     

Delimitation of arsenic-contaminated groundwater using risk-based indicator approaches around blackfoot disease hyperendemic areas of southern Taiwan

This work determined scopes of arsenic(As)-contaminated groundwater using risk-based indicator classification approaches in blackfoot disease hyperendemic areas of southern Taiwan. Indicator kriging was first used to establish a conditional cumulative distribution function at each cell. Three approaches--the p-quantile estimate, the E-type estimate and the minimization of the expected loss--were then adopted to delimit contaminated regions for a regulated standard of As concentrations in groundwater. According to a risk assessment model established in our previous research, the standard was set to 250 microg/l for aquacultural use, corresponding to the 77.1th percentile of observed concentrations. Misclassification risks and uncertainty were examined for the classification approaches. The analyzed results reveal that contaminated areas are the largest using the 0.771-quantile estimate, whereas they are the smallest using the minimization of the expected loss. Proportions of credible polluted areas with low risks to false positives maintain a constant, 12.9-13.2%, for the classification approaches. To reduce a great impact on human health, As-polluted groundwater should be strictly prohibited to cultivate fish in credible polluted zones and monitored persistently in polluted zones with high risks to false positives.     

Assessment of Human Health Risk of Dioxin in Korea

This study assessed the daily exposure to dioxin using comparable approach methods in order to predict the human health risks of dioxin on the general adult population and incinerator workers in Korea. The health risk assessment of dioxin involved four scenarios (General-Direct, General-Breast Milk, General-Blood, and Worker-Blood). The risks were described in terms of the excess cancer risk and the MOEs (Margin-Of-Exposure) for cancer, reproductive dysfunctions, endometriosis, and neurobehavioral effects. The adult daily intake (General-Direct) of dioxin was estimated to be 0.50 pg-TEQ/kg-day based on the dioxin concentrations in the environmental media and foods in Korea. The average dioxin concentrations in General-Breast Milk, General-Blood, and Worker-Blood were 15.13 pg-TEQ/g fat, 14.57 pg-TEQ/g lipid, and 22.90 pg-TEQ/g lipid, respectively. The lifetime average daily doses (LADDs) of dioxin for General-Breast Milk, General-Blood, and Worker-Blood were estimated to be 1.35 pg-TEQ/kg day, 0.99 pg-TEQ/kg day, and 1.15 pg-TEQ/kg day, respectively. Although the estimated risks of cancer and reproductive dysfunctions were not unusually high in any of the four scenarios, the MOE values for the neurobehavioral effects on infants were not sufficiently high to guarantee the safety against this endpoint.     

沙颍河流域抗生素污染特征与生态风险评价

于2018年7月 (丰水期)、11月 (枯水期) 和2019年3月(平水期)对沙颍河流域5种抗生素磺胺吡啶(SPD)、磺胺氯哒嗪(SCP)、磺胺嘧啶(SDZ)、环丙沙星(CIP)和四环素(TCL)的污染状况和空间分布进行了研究，并对其生态风险进行了评价。结果表明，沙颍河流域5种抗生素在丰水期、枯水期和平水期均有检出，丰水期CIP、枯水期SPD和SDZ以及平水期SCP的检出率均>50%，平水期SCP的检出率最高达到70.97%，CIP在丰水期的检出值最高(655 ng/L)，5种抗生素累积浓度为：丰水期>平水期>枯水期。对比国内其他地区水体环境，沙颍河流域5种抗生素浓度总体处于一般水平，但丰水期CIP检出浓度较高。相关性分析显示抗生素浓度与水质参数硬度、NH₃-N和电导率显著相关。5种抗生素的水生态风险为：丰水期>枯水期>平水期，其中CIP和TCL均为高风险。提出，应加强监测评估与预警管理，有效控制其水生态风险。     

Decision support methods for the environmental assessment of contamination at mining sites

Polluting mine accidents and widespread environmental contamination associated with historic mining in Europe and elsewhere has triggered the improvement of related environmental legislation and of the environmental assessment and management methods for the mining industry. Mining has some unique features such as natural background pollution associated with natural mineral deposits, industrial activities and contamination located in the three-dimensional sub-surface space, the problem of long-term remediation after mine closure, problem of secondary contaminated areas around mine sites and abandoned mines in historic regions like Europe. These mining-specific problems require special tools to address the complexity of the environmental problems of mining-related contamination. The objective of this paper is to review and evaluate some of the decision support methods that have been developed and applied to mining contamination. In this paper, only those methods that are both efficient decision support tools and provide a ‘holistic’ approach to the complex problem as well are considered. These tools are (1) landscape ecology, (2) industrial ecology, (3) landscape geochemistry, (4) geo-environmental models, (5) environmental impact assessment, (6) environmental risk assessment, (7) material flow analysis and (8) life cycle assessment. This unique inter-disciplinary study should enable both the researcher and the practitioner to obtain broad view on the state-of-the-art of decision support methods for the environmental assessment of contamination at mine sites. Documented examples and abundant references are also provided.     

Lung cancer incidence among Norwegian nickel-refinery workers 1953-2000

Among workers employed at a nickel refinery in Norway between 1910 and 1977 an elevated risk of lung cancer has been demonstrated. A dose-related effect from nickel exposure has been identified, with the strongest gradient for water-soluble nickel. This pattern was recently confirmed in a nested case-control study with adjustment for smoking and potential occupational confounders. In the present study, updated cancer data were used to explore the risk by duration of work at the refinery and by exposure to different forms of nickel. Comparisons were made with the national male population (standardised incidence ratios) as well as internal reference groups (Poisson regression) under adjustment for age and smoking. The results confirmed earlier findings of a strong dose-related risk dependent on duration of work in production departments and cumulative exposure to nickel, most clearly seen for water-soluble nickel. Only slightly elevated risks were found among the unexposed and in the group with no experience from production or maintenance work. The risk associated with exposure to nickel chloride was similar to that for nickel sulfate. Analyses restricted to men exposed after 1967, with estimates based on personal monitoring of nickel in the breathing zone, showed the same risk pattern as for earlier years. Elevated lung cancer incidence was even suggested for workers with their first employment after 1978 when a lot of high exposure jobs were abandoned. The combined effect of exposure to nickel and smoking seemed to be in agreement with a multiplicative risk pattern.     

Comparative cancer risk assessment of THMs in drinking water from well water sources and surface water sources

This research evaluates the lifetime cancer risks from trihalomethanes in Tehran's drinking water. The Trihalomethanes were measured in seven different water districts. Sixty-three samples were taken from tap water across the city for 7 months. The samples were analyzed for trihalomethanes using US EPA method 524.2. The average concentration of total trihalomethanes in different districts were between 0.81 and 9.0 μg/L, and the highest concentrations were detected in district 2 at 19.5 μg/L. Total lifetime cancer risks assessment from exposure to trihalomethanes in drinking water (ingestion, inhalation, and skin routes) were performed for people living in different districts in Tehran. The lifetime cancer risk was 7.19 × 10(-5) in district 2 (a more affluent neighborhood) where mostly surface water sources is used to supply drinking water and 9.38 × 10(-6) in district 7 (a less affluent neighborhood) which is mainly supplied with well water sources. Based on the population data, the total expected lifetime cancer cases from exposure to trihalomethanes are 104, 108, 81, 81, 41, 27, and three for districts 1 through 7, respectively. The average lifetime cancer risk was 4.33 × 10(-5) which means a total of 606 lifetime cancer cases for the entire province of Tehran. The highest risk from THMs seems to be from the inhalation route followed by ingestion and dermal contacts.