Evaluation of the impact of asbestos wastes on soils in Emene-Enugu,Southeastern Nigeria

This study investigated the impacts of asbestos wastes on soils in Emene-Enugu, southeastern Nigeria, generated by the activities of a major asbestos products manufacturing company in southeastern Nigeria. The methods of investigation included vertical electrical sounding (VES), 2-D horizontal resistivity profiling (HRP), induced polarization (IP) survey, chemical analysis of plant tissues and standard penetration tests of soil samples. The 2-D HRP and IP identified six closed waste pits alongside the two active pits. The VES revealed four geoelectrical layers in the area: from bottom to top; the inferred lithologies included dark shale, clay, gravel and recent sands. The geochemical data results revealed that Cd concentration of the soils of the waste pits is above the contaminated land exposure assessment soil guideline value for residential and allotment land uses. The geochemical pollution indices classified the soils as “unpolluted” to “extremely polluted”. Bioconcentration factor of Pb in plant tissues was found to be above recommended limits of 0.045. The geotechnical parameters indices revealed that the soils varied from “very soft” to “stiff” and “very loose” to “medium”. Soils of the active pits have very low strength and bearing capacity while closed pits have high strength and bearing capacity. It may be safe, therefore, to conclude that as the wastes are completely turned into soils, they will assume geotechnical properties similar to those of natural soils.     

Can we integrate climatic modelling and assessment?

The climatic change “debate” seems to be expanding faster than the available information base. National and international response strategies (mitigation and adaptation) are being discussed in board rooms, governments and the media. Phrases like “the uncertainty in the scenarios” appear to carry meaning but the information seems to be, at best, incomplete and, at worst, totally debased by multiple definitions and usages. “Scenarios” are predictions of possible futures. The “(un)certainty” that characterizes them encompasses prejudices, perspectives, incompleteness of information as well as the differences in completeness, accuracy and sensitivity of different forecasting tools. (Un)certainty is the source of experimentation and learning but excessive (un)certainty is noise and so the search for a signal requires its reduction. This reduction process can both promote planning and co-ordination but also quash unconventional, but ultimately valuable, ideas. Balancing this tension across the modern, multifaceted climatic “divisions” of technology, training, information access, understanding, terminology, economic development, societal flexibility and social and political perceptions is difficult. The current dysfunctioning of the international climatic information “industry” demands improved communication among these diverse communities. This paper discusses some of the difficulties as perceived by a physical scientist turned “gatekeeper” and proposes a twofold strategy for improving the situation: a climatic change information exchange and an explicit recognition of the need for cyclic social co-operation among the participating groups.     

Scientist–stakeholder collaboration in integrated assessment of climate change: lessons from a case study of Northwest Canada

Research on the climate change issue has generally focused on uncertainties in climate projections and calculation of mitigation costs. Most integrated assessment (IA) efforts have been directed at the mitigation component. The problem of climate change, however, is really about the potential effects on ecosystems, resources, and societies that depend on them. As illustrated by experiences from the Mackenzie Basin Impact Study, a case study from Northwest Canada, these effects will be unique to each region and country. Many of these will be indirect, including region specific thresholds, vulnerabilities and adaptations which may not be included in sectoral analyses. Science can define some of the “What if” aspects of climate change, but the regional “So what” and “What should be done” questions are largely unanswered and subject to intense debate in various political fora. IA needs to recognize the multiobjective and multistakeholder aspects of vulnerabilities, risks, and potential responses to climate change. IA could provide a more holistic analysis of the regional impacts dimension of climate change by including both modeling and non‐modeling approaches, and incorporating institutional and stakeholder issues that do not readily lend themselves to economic analyses.     

安徽省“十二五”生态环境遥感监测

利用2011—2015年安徽省遥感影像土地利用类型解译数据,结合地面调查和统计资料,依据生态环境状况评价系统对安徽省"十二五"期间生态环境状况进行动态监测与评价。结果表明,"十二五"末安徽省各市生态环境状况等级为"优"的有4个市,为"良"的有12个市;"十二五"期间,各市等级均保持不变;"十二五"始末相比,有8个市生态环境状况变化度为"略有变好"等级,生态环境状况波动度为"波动"级别,其余8个市的变化度为"无明显变化"等级,波动度为"稳定"级别;省域EI增加了0.76,生态环境质量呈现稳中向好的趋势。     

Reforming EIA systems: A critical review of proposals in Brazil

Environmental Impact Assessment (EIA) systems are under pressure in many countries, driven by a call for efficiency and streamlining. Such a phenomenon is particularly clear in Brazil, where, in the past few years, a number of influential associations put forward documents proposing significant changes to environmental licensing and impact assessment regulations. So far, there is no publicly available information about any initiative towards scrutinizing those proposals. The objective of this study was to critically review the merits and drawbacks of the changes proposed in those documents. The analysis triangulated content analysis, focus group and online survey data. The focus group included ten seasoned Brazilian EIA specialists; the survey, based on Likert-scale and open-ended questions, resulted in 322 valid responses from EIA professionals. Results show that the proposals generally agree that the current EIA system, while playing a key role in mitigating impacts and enhancing project design, needs many changes. Nonetheless, the proposals neither offered solutions to overcome political, technical and budget barriers, nor established a sense of priority of the most urgent issues. Findings from the focus group and the survey signaled that a number of proposed actions might face public outcry, and that those changes that do not depend on legislative action are more likely to be implementable. Previous studies about EIA reform focused mostly on the context of developed countries after changes had taken place. This study, while addressing the perspective of a large developing country in a “before-reform” stage, shows that capacity-building is a key requirement in EIA reform.     

Factors influencing acquisition of ecological and exposure information about hazards and risks from contaminated sites

Considerable research indicates that a wide range of socio-economic factors influence attitudes and perceptions about environmental hazards and risks, and that social trust in those who manage a hazard is strongly correlated to judgements about risks and benefits. We suggest that there are three steps that lead to environmental risk perceptions: acquisition of information, interpretation and synthesis of different pieces of information, and understanding of that information in light of previous knowledge, perceptions, or attitudes. In this study we presented 211 college students in the sciences and non-sciences with ecological and exposure information using text, tables and maps to examine the factors that affect information acquisition and interpretation concerning ecological issues at a fictitious hazardous waste site. Students were allowed about an hour to read the materials and answer questions. The percent of students answering each question correctly varied from 4 to 82%, indicating that some questions were extremely difficult to answer. We attributed these differences to variations in the number of places information was presented (in text, tables, maps, or a combination) and the complexity of the information (how many pieces of information were required to answer the question correctly). The correlation between the number of students answering each question correctly and these combined measures (frequency, complexity) was −0.72. Thus, although there were differences in accuracy concerning ecological information as presented in this study, the major differences were accounted for by how the information was presented, and how much information was required. This suggests that risk communicators should carefully determine which ecological information is critical for the target audience, and ensure that it is presented several times (in different forms). That a lower percentage of people correctly answered questions that required synthesizing several pieces of information suggests that this complexity should be reduced where possible, or that the pieces of information should be tied clearly to the conclusion. Self-declaration of effort and perceptions of safety of the site did not markedly influence the relationship between accuracy, difficulty of finding information, and complexity of information. Other possible confounding variables (i.e., science vs non-science major) only accounted for about 27% of the variation in student’s overall score on ecological questions; age, ethnicity, and gender did not enter as significant variables. We cannot manage environmental hazards with appropriate stakeholder input unless we understand how to present environmental information to achieve a full understanding. Protection of human health and the environment requires that people understand ecological and exposure information, particularly on buffer lands.     

Human alteration of the rural landscape: Variations in visual perception

The objective of this investigation is to evaluate how visual perception varies as the rural landscape is altered by human interventions of varying character. An experiment is carried out using Semantic Differential Analysis to analyse the effect of the character and the type of the intervention on perception. Interventions are divided into elements of “permanent industrial character”, “elements of permanent rural character” and “elements of temporary character”, and these categories are sub-divided into smaller groups according to the type of development.To increase the reliability of the results, the Intraclass Correlation Coefficient tool, is applied to validate the semantic space of the perceptual responses and to determine the number of subjects required for a reliable evaluation of the scenes.     

Assessment of groundwater quality: a fusion of geochemical and geophysical information via Bayesian neural networks

Deplorable quality of groundwater arising from saltwater intrusion, natural leaching and anthropogenic activities is one of the major concerns for the society. Assessment of groundwater quality is, therefore, a primary objective of scientific research. Here, we propose an artificial neural network-based method set in a Bayesian neural network (BNN) framework and employ it to assess groundwater quality. The approach is based on analyzing 36 water samples and inverting up to 85 Schlumberger vertical electrical sounding data. We constructed a priori model by suitably parameterizing geochemical and geophysical data collected from the western part of India. The posterior model (post-inversion) was estimated using the BNN learning procedure and global hybrid Monte Carlo/Markov Chain Monte Carlo optimization scheme. By suitable parameterization of geochemical and geophysical parameters, we simulated 1,500 training samples, out of which 50 % samples were used for training and remaining 50 % were used for validation and testing. We show that the trained model is able to classify validation and test samples with 85 % and 80 % accuracy respectively. Based on cross-correlation analysis and Gibb’s diagram of geochemical attributes, the groundwater qualities of the study area were classified into following three categories: “Very good”, “Good”, and “Unsuitable”. The BNN model-based results suggest that groundwater quality falls mostly in the range of “Good” to “Very good” except for some places near the Arabian Sea. The new modeling results powered by uncertainty and statistical analyses would provide useful constrain, which could be utilized in monitoring and assessment of the groundwater quality.     

基于“多规融合”的城市环境空间管控技术体系研究

介绍了“多规融合”的发展历程,围绕实现生态环境空间管控的核心目标,提出了基于“多规融合”的城市尺度环境空间管控技术体系。该体系主要包括环境空间管控技术方法和空间落地技术方法两部分内容,其中,环境空间管控技术方法主要是生态保护红线划定等涉及空间的生态环境保护主要工作转化为环境空间管控数据的过程,空间落地技术方法是将环境空间管控数据在空间上落地,形成数据“一个库”、分布“一张图”。     

Comparative research on NIMBY risk acceptability between Chinese and Japanese college students

Along with the progressive acceleration of urbanization, the need to identify potentially troublesome “Not In My Back Yard” (NIMBY) facilities in the city is inevitable. To resolve NIMBY conflict, it is important to know people’s NIMBY risk acceptability for these facilities. A questionnaire survey was used among Chinese and Japanese college students to identify NIMBY risk acceptability. LISREL was used to construct a structural equation model to analyze the difference in NIMBY risk acceptability between the Chinese and Japanese college students. Factors that may affect NIMBY risk acceptability were analyzed: “perceiving utility,” “perceiving risk,” “trust in government,” “reasonable compensation,” and “procedural justice.” The findings show that Japanese students’ concerns were greater than Chinese students’ concerns. Perceiving utility and perceiving risk were the most important factors that affect people’s NIMBY risk acceptability, followed by procedural justice, trust in government, and reasonable compensation. There is a difference between the different cultural backgrounds in confronting the risk: Chinese students focus more on the reputation and value of real estate, while Japanese students pay more attention to environmental pollution and damage to health. Furthermore, cultural influences play a role in students’ risk perception. To improve the risk acceptability for NIMBY facilities and provide a basis for resolving NIMBY conflicts, it is necessary to ensure the benefits of the NIMBY facility while reducing environmental pollution. The findings of this study may be of interest for policy makers and practitioners to devise future NIMBY strategies.     

Deriving indicators of sustainable development

Assessments of current and future development paths require comprehensive sets of indicators covering all essential aspects. From a holistic systems point of view, most currently proposed indicator sets are incomplete and deficient. Assessments of sustainable development require a full representation of the satisfaction states of the “basic orientors” (=fundamental interests) of constituent sector systems, and of their contribution to basic orientor satisfaction of the total system. Basic orientors are value dimensions (existence, effectiveness, freedom of action, security, adaptability, coexistence) emerging from a self-organizing system's interaction with its environment, and its fundamental properties (normal environmental state, scarce resources, variety, variability, change, other systems). Basic orientors are also reflected in human emotions, societal punishment, psychological and social needs, life styles, and values emerging in self-organization of artificial life. The relative weight assigned to basic orientors of partner systems is a question of ethics. Based on these concepts, a general scheme for finding a “complete” set of indicators of viability and sustainability is derived, and it is applied to deriving a comprehensive set of indicators of sustainable development for society and its sector systems (infrastructure, economic system, social system, individual development, government, environment and resource system). The method can be applied at different levels of complexity and regional resolution. A full set of regional indicators for sustainable development is presented, a method for compact assessment of development paths using orientor stars is described, and the approach for application at the community level is outlined.     

Residents’ concerns and attitudes toward a municipal solid waste landfill: integrating a questionnaire survey and GIS techniques

The ever-growing industry of municipal solid waste (MSW) disposal appeals to the growing need for disposal facilities, and MSW treatment facilities are increasingly an environmental and public health concern. Residents living near MSW management facilities are confronted with various risk perceptions, especially odour. In this study, in an effort to assist responsible decision-makers in better planning and managing such a project, a structured questionnaire was designed and distributed to assess the nearby residents’ concerns and attitudes surrounding the Laogang Landfill in Shanghai. Geographic information system techniques and relevance analysis were employed to conduct the spatial analysis of physical perceptions, especially odour annoyance. The findings of the research indicate that a significant percentage of the responding sample was aware of the negative impacts of landfills on the environment and public health, and residents in close proximity preferred to live farther from the landfill. The results from the spatial analysis demonstrated a definite degree of correlation between odour annoyance and distance to the facility and proved that the benefits of the socially disadvantaged have been neglected. The research findings also direct attention to the important role of public participation, information disclosure, transparency in management, and mutual communication to avoid conflicts and build social trust.     

Cumulative effects of developed road network on woodland—a landscape approach

Population growth, during the twentieth century, has increased demand for new farmlands. Accordingly, road networks have rapidly been developed to facilitate and accelerate human access to the essential resources resulted in extensive land use changes. The present study aims at assessing cumulative effects of developed road network on tree cover of Golestan Province in northern Iran. In order to detect changes over the study period of 1987–2002, the LULC map of the study area was initially prepared from the satellite images of Landsat TM (1987) and ETM+ (2002) using maximum likelihood supervised classification method. Afterwards, a total number of seven landscape matrices were selected to detect cumulative effects of the developed road network on woodland cover. The obtained results indicated that the fragile patches are mainly located at a distance of 171–342 m from the roadside. Furthermore, the majority of the patches affected by cumulative effects of development activities are situated at a distance of 342–684 m from the roadside, over an approximate area of 55 ha. The analysis of landscape metrics revealed that the developed road network has increased the landscape metrics of “the number of patches” and “patches perimeter-area ratio”. It has also followed by a decrease in metrics such as “patches area”, “Euclidean nearest neighbor distance”, “patches proximity”, “shape index”, “contiguity”, and “mean patches fractal dimension”. The road network has also increased the “number of patches” and decreased the “mean patches area” representing further fragmentation of the landscape. With identification of highly affected wooldland cover patches, it would be possible to apply adaptive environmental management strategies to preserve and rehabilitate high-priority patches.     

Socially evaluated impacts on a technologically transformed urban river

Urban rivers are natural elements in the urban landscape that are technologically changed to solve flood and pollution problems, and as a result of these interventions in the riverbed, they can be sources of well-being or problems for different segments of a city's population. As such, alternatives for assessment from different temporal and spatial viewpoints are necessary. Here we examine the importance of an urban river which has been technologically transformed over time, through the perception of families who live alongside it. Historical background was initially used to provide context, followed by binary logistic regression to analyze survey data (stratified sample of 710 inhabitants, significance level = 0.05). The results show that perceptions varied by the type of riverbed where each respondent lived (straightened, natural, or underground) and how long residents had lived near the river, and that the technologies used influence perceptions of impacts on the quality of life in riverside populations. The findings of this study provide possibilities for evaluating urban rivers as assets that generate diffuse effects capable of intensively impacting the quality of life of various residents in different ways, with intensities moderated by the nature of the corrective technologies used in each segment of the river, as well as priorities for conservation policies developed in each community or riverside micro-society. The conclusion is that high-impact technological solutions tended to be highly effective, and despite the ongoing deterioration of water quality and escalating risk, part of the population continues to value the river as a public natural resource and believes that solutions should come from government efforts.     

Evaluating impacts of marine governance on human communities: Testing aspects of a human impact assessment model

A human impact assessment (HIA) model was developed to guide research to understand how changes in a fishery can impact fishermen and fishing communities. Path analysis demonstrates that job satisfaction is an important variable intervening between marine governance and well-being. Individual-level variables in the demographic latent variable influence aspects of job satisfaction as well as well-being. It is variance in management that influences satisfaction with fishing which has a direct effect on well-being. In the HIA model, the three components of job satisfaction (self-actualization, income, and psycho-social) have the greatest total impact on well-being. The model also indicates complex relationships between management, fishing activity attributes, job satisfaction, and individual and social attributes. Relationships between community context and differences in job satisfaction in the Northeast and Alaska regions confirmed that these factors, also included in the HIA model, are important aspects of impact assessment. Results help to show that changes in ocean governance have impacts on the human communities who use these important resources. To anticipate and ameliorate potential impacts on human well-being as indicated by tools such as the HIA model, research needs to be accomplished to appropriately design and account for these impacts.     

A new four-step hierarchy method for combined assessment of groundwater quality and pollution

A new four-step hierarchy method was constructed and applied to evaluate the groundwater quality and pollution of the Dagujia River Basin. The assessment index system is divided into four types: field test indices, common inorganic chemical indices, inorganic toxicology indices, and trace organic indices. Background values of common inorganic chemical indices and inorganic toxicology indices were estimated with the cumulative-probability curve method, and the results showed that the background values of Mg²⁺ (51.1 mg L^?1), total hardness (TH) (509.4 mg L^?1), and NO₃ ^? (182.4 mg L^?1) are all higher than the corresponding grade III values of Quality Standard for Groundwater, indicating that they were poor indicators and therefore were not included in the groundwater quality assessment. The quality assessment results displayed that the field test indices were mainly classified as grade II, accounting for 60.87% of wells sampled. The indices of common inorganic chemical and inorganic toxicology were both mostly in the range of grade III, whereas the trace organic indices were predominantly classified as grade I. The variabilities and excess ratios of the indices were also calculated and evaluated. Spatial distributions showed that the groundwater with poor quality indices was mainly located in the northeast of the basin, which was well-connected with seawater intrusion. Additionally, the pollution assessment revealed that groundwater in well 44 was classified as “moderately polluted,” wells 5 and 8 were “lightly polluted,” and other wells were classified as “unpolluted.”     

Biochemical profile of non-enzymatic stress markers in the plant species “<Emphasis Type="Italic">Urginea maritima</Emphasis>” in a Mediterranean natural reserve exposed to oxidative stress

Protected areas decrease degrading natural ecosystems due to pollution such as air pollution. In 1981, the inhabitants founded Bentael natural reserve in Byblos, Lebanon, to secure their region against urbanization projects, like the recently constructed road that threatens the biodiversity of the reserve. This study was conducted to determine the oxidative stress resulting from this pollution and that menaces 360 floral species among them a rare species “Urginea maritima.” In this research, the biomonitoring approach was experienced to assess the oxidative stress. Biomonitoring possesses has the advantage to be low cost and a constructive method to generate valuable data for further examinations. The studied parameters were air pollutants, ascorbic acid, photosynthetic pigments, leave’s pH, relative water content, proline, carbohydrates, and hydrogen peroxide, in three chosen spots, near the pollution source (P1), opposite the latter spot (P2), and in an area relatively far from the source of contamination and which was chosen as the control site (Ctrl). The results showed in P1 detection of air pollutants higher of about 80% than in Ctrl, modifications in stress markers: increased concentration of the reactive oxygen species “hydrogen peroxide,” rise in the concentration of the osmoregulator amino acid “proline,” and depletion in chlorophyll content, in contrast to an increase in pheophytin. All these findings can be exploited as early diagnosis of air pollution and confirmed the ability to use such biomonitor (“Urginea maritima”) as a way to assess the environmental pollution levels and consequently affirm the danger of such landscape activities on natural reserves.     

Online rumor propagation of social media on NIMBY conflict: Temporal patterns,frameworks and rumor-mongers

The rapid development of social media has accelerated the online rumor propagation, making social conflicts more intense during the development of NIMBY facilities. The “fake news” issue is not new, as the consequences will be amplified when the fakery spreads on social media as online rumors. However, few studies have been undertaken on the online public opinion, especially the rumor propagation on NIMBYism. This study collects data related to the anti-PX demonstration in Maoming city in 2014 on the Weibo platform. To form the rumor text library, qualitative research method is adopted to encode the collected data. Based on the social amplification of risk framework, three sub-frameworks are proposed in this study and statistical method is used to analyze the topics of rumors. Meanwhile, the textual content analysis and impact factor analysis is employed to examine the semantic features of rumor texts and the key role of rumor-mongers respectively. The results show that there are three main propagation lifecycles of rumors while the topics of rumors vary according to the cycle. Rumors belonging to each framework have diverse trend and the assessment framework is dominant throughout the process. “Individuals” and “Elites” are the main force of rumor spreading, and “Media practitioners” are the opinion leaders. These findings are useful for governments to establish a rumor detection system so that official information can be released and rumors can be refuted without delay. Meanwhile, the cooperation with the opinion leaders in online rumor propagation should be strengthened. In addition, a scientific popularization and timely notification of project progress is recommended prior to the development of NIMBY facility.     

Bibliometric analysis of global environmental assessment research in a 20-year period

Based on the samples of 113,468 publications on environmental assessment (EA) from the past 20 years, we used a bibliometric analysis to study the literature in terms of trends of growth, subject categories and journals, international collaboration, geographic distribution of publications, and scientific research issues. By applying thresholds to network centralities, a core group of countries can be distinguished as part of the international collaboration network. A frequently used keywords analysis found that the priority in assessment would gradually change from project environmental impact assessment (EIA) to strategic environmental assessment (SEA). Decision-theoretic approaches (i.e., environmental indicator selection, life cycle assessment, etc.), along with new technologies and methods (i.e., the geographic information system and modeling) have been widely applied in the EA research field over the past 20 years. Hot spots such as “biodiversity” and “climate change” have been emphasized in current EA research, a trend that will likely continue in the future. The h-index has been used to evaluate the research quality among countries all over the world, while the improvement of developing countries' EA systems is becoming a popular research topic. Our study reveals patterns in scientific outputs and academic collaborations and serves as an alternative and innovative way of revealing global research trends in the EA research field.     

Regulators' perceptions of environmental impact assessment (EIA) benefits in a sustainable development context

The costs of conducting Environmental Impact Assessment (EIA) are well known. Yet the benefits of EIA are much more intangible, leading to a situation where some question its value as the tool of choice for informing decision makers of the sustainability consequences of their actions. Exponents of EIA have thus called for more research on the benefits of EIA in order to provide better evidence on its costs versus benefits, and therefore its value as a decision-making tool. This paper contributes to this evidence by exploring the perceived potential benefits and perceived realised benefits of EIA from a regulators' perspective in the context of sustainable development. Using South Africa as a case study, one third of all the officials responsible for EIA review and decision-making (referred to in this paper as the “regulator”) were surveyed to identify their perceptions of the benefits of EIA, and their ideas on how to bridge the gap between potential benefits and realised benefits. The paper contributes suggestions for the analysis of benefits in a sustainable development context, and identifies some additional benefits currently missing from the literature. In a South African context, the key potential and realised benefits as perceived by regulators are the protection of biodiversity, public participation, access to information, mitigation of environmental impacts, and legal compliance and enforcement.