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.     

How does environmental pollution erode political trust in China? A multilevel analysis

The impacts of environmental pollution extend beyond the issue of health. Using Chinese survey and administrative data, this study sheds new light on the political costs of environmental pollution. We show that citizens' trust in government officials declines significantly with higher levels of measured pollution, perceptions of increased pollution, and a greater degree of willingness to support environmental protection. Political trust is particularly low when measured as well as perceived pollution are severe. However, the effect of greater willingness to support environmental protection on the erosion of political trust is independent of measured pollution. Our findings suggest that there is a tipping point at which legitimacy acquired primarily through economic achievements could be undermined by environmental degradation, which is a byproduct of economic achievements. It is imperative for the Chinese government to achieve a balance between fast-paced growth and environmental sustainability, to pay attention to the potential political consequences of environmental issues, and to permit more public dialogues and deliberations on the topic of environmental governance.     

Public participation modes in China's environmental impact assessment process: An analytical framework based on participation extent and conflict level

Environmental impact assessment (EIA) serves as a gatekeeper to prevent environmental pollution, and public participation is a legal requirement in the EIA process that ensures people's awareness of activities that may jeopardize the environment. Recently, with the elevated awareness of environmental protection and increasing environmental sensitivity, EIA has evolved as a means for the public to show their attitudes towards environmental issues. More frequently, public protests against not-in-my-backyard (NIMBY) facilities have become a significant challenge in the government's decision-making process. Government officials and EIA practitioners continue to look for a more effective way of public participation and aim to establish a platform that can involve related stakeholders. However, current research on public participation is limited to individual case studies or lacks a systematic approach to analysing diversified modes of public participation, which may differentiate levels of acceptance by the government in the EIA process and consequently lead to different effects. Therefore, from the perspectives of the participation extent and conflict level, this paper aims to establish an integrated framework to categorize different public participation patterns in EIA practices and to analyse their characteristics, such as preferences and the action logic arising from different stakeholders, including the government and public. The paper concludes that collaborative public participation is a possible way to strengthen the effectiveness of public involvement within the Chinese context.     

Exploring the “not in my backyard” effect in the construction of waste incineration power plants - based on a survey in metropolises of China

Waste incineration power plants have become the best option in face of the increasing amount of garbage in China's cities. However, constructing waste incineration power plants will cause “not in my backyard” (NIMBY) effect in the public. To identify variables causing this effect and measure the effect quantitatively, we designed and carried out a random survey in four metropolises in China. Of the 3133 questionnaires distributed, 3066 are thought to be effective. Males, persons with higher educational levels, or with higher income, or having underaged children in their families, or thinking their neighborhoods are upscale ones are willing to pay more to avoid the construction of waste incineration power plants in their surroundings than others. In addition, provided that the respondents deem that the construction of waste incineration power plants would have an impact on their lives, they are willing to pay more no matter they own their departments or not. Finally, the estimated willingness to pay (WTP) to avoid the waste incineration power plants is 105 yuan to 133 yuan per month. Hence, the government should treat the NIMBY syndrome well in the construction of waste incineration power plants, with WTP being one perspective to persuade the public.     

Exploring the trade-off between benefit and risk perception of NIMBY facility: A social cognitive theory model

With reference to Social Cognitive Theory, this study contributes to the debate on large-scale energy projects that can be classified as NIMBY developments and their implementation in order to better understand drivers to public acceptance. Public acceptance is essential for the development of typical NIMBY facilities. This study draws on Social Cognitive Theory (SCT) to investigate the determinants of public acceptance of a NIMBY facility in Wuhan City, China, to explore how the trade-off between the perceived benefit and risk affected public acceptance. Guanshan power substation was selected as the case study, and a questionnaire was presented to 450 local residents. Using a structural equation model, this study revealed that the perceived benefit-risk was positively related to public acceptance. Self-efficacy positively affected public acceptance via the perceived benefit-risk. Furthermore, the social environment exerted a significant positive effect on public acceptance, self-efficacy and perceived benefit-risk. These findings highlight the importance of improving the social environment and taking perceived benefit-risk into account during the decision-making process for similar developments.     

Performance of EIA authority and effectiveness of EIA system in Pakistan

Environmental Impact Assessment (EIA) agencies worldwide face multiple challenges that compromise their performance and in turn EIA procedural effectiveness. The current study aimed to evaluate the performance of the Environmental Protection Agency (EPA) of Punjab, Pakistan and the problems it faces whilst implementing EIA and ensuring EIA effectiveness. Semi-structured interviews were used to collect data for the study. EPA performance and procedural effectiveness were evaluated using the formal and informal roles of EPA and EIA good practices respectively. They were also linked to regulatory framework, capacities of actors and contextual factors. Study found that EPA and EIA system performance is weak. Consequently, procedural effectiveness is compromised. The main causes include limited capacities of EPA, consultants and proponents; lack of political will; political interference and outdated regulations. A strong political will of the government is required to enhance the capacity of EPA and other actors in terms of motivation or “the will to” and means or “the ability to”. Measures taken by international EIA agencies to improve performance and effectiveness have also been discussed. Based on this study, lessons can be learnt by not only EPA Punjab but also other agencies in Pakistan and international agencies facing similar challenges.     

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.     

Beyond distribution and participation: A scoping review to advance a comprehensive environmental justice framework for impact assessment

Concepts of justice are implicit to impact assessment (IA) procedures and policies. A closer examination of the academic literature on environmental justice reveals plural meanings and practices. We present data from a scoping review of the academic literature on IA guided by a trivalent definition of environmental justice encompassing distribution of environmental harms, recognition of diverse ways of knowing, and representation of plural perspectives through democratic procedures. We use this trivalent framework to assess how justice is defined in English language IA journal articles from 2000 to 2019. Findings show an emphasis on distributive and procedural dimensions of justice, with significantly less attention given to issues of recognition and framing. Broad definitions of environmental justice can assist IA scholars in attending to justice-seeking claims across various IA practices and settings, including implications for how IA addresses the concerns of marginalized groups.     

Assessing the impact of environmental regulation and environmental co-governance on pollution transfer: Micro-evidence from China

Pollution transfer is widespread in various countries. If differences in environmental regulation intensity exist across different regions in a country, pollution transfer may occur. Based on data from Chinese enterprises, this study constructs a comprehensive index of environmental regulation and the degree of environmental co-governance at the enterprise level and uses a panel probit model, the two-stage least squares method, and an interaction regression model to assess the effect of environmental regulation and environmental co-governance on pollution transfer. The probability of enterprise migration increases as environmental regulation intensity increases, confirming the pollution transfer effect of environmental regulation. The analysis of the influencing mechanism shows that environmental regulation can reduce the probability of pollution transfer through the “innovation compensation effect” and improve the probability of enterprise migration through the “compliance cost effect”. In addition, under the condition of established environmental regulation, environmental co-governance can reduce the probability of enterprise migration, inhibit the transfer of pollution to nearby areas, and improve the efficiency of environmental governance. This study is conducive to assessing the policy effectiveness of environmental regulation and provides a reference for other countries regarding pollution transfer.     

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.     

Risk perception in Northeast Asia

Multi-country surveys of the public's perception of risk using the same questionnaire were sequentially implemented from April to December 2006 in Japan, China, and South Korea. Statistical analyses, such as traditional mean tests, rank order tests, two-step cluster analysis, and principal component analysis were used to analyze the survey data. The results revealed that Chinese tend to be more tolerant of risk than Japanese and South Koreans. In all three countries, the threats of global warming, cancer, traffic accidents, and fire were perceived as higher-order risks, while infectious diseases and threats from high technology were perceived as lower-order risks. Looking across the entire multi-country sample, we found that Chinese participants perceived greater risk in typhoons, SARS, and drugs; Japanese saw greater risk from gas explosions and potential threats coming over the Internet; while people in all three countries identified earthquakes as a primary risk. These differences in risk perception reflect the natural and socioeconomic conditions in the three countries. Although the study did not emphasize differences in risk perception within countries based on demographic factors such as education, age, and gender, we found that differences based on education and age tended to be greater in China and South Korea than in Japan. We also found that men perceived greater risks than women in China and South Korea, while in Japan it was the opposite with women perceiving greater risks. A comparison of these results with previous studies reveals a bias in past studies toward student samples and indicates the need for more representative samples in multi-country surveys.     

工业园区水污染源精细化管控系统的应用

针对工业园区污水排放监管问题,以北京某园区为例,提出了水污染源精细化管控方案。按照多级防控的思路,在企业级、管网级、园区级建成在线监测系统和精细化管控平台,实现园区水环境监管的全覆盖,有效监控企业排污动态,实时掌握园区污水排放状况,为企业、园区管理部门和环保管理部门提供决策支持。     

Analysing and mapping spatial and temporal dynamics of urban traffic noise pollution: a case study in Kahramanmaraş, Turkey

This study aimed at quantifying noise pollution from urban traffic in the city of Kahramanmara?, Turkey. A total of 114 measurements for the equivalent noise level (L _Aeq) were made at 38 urban locations classified as “residential areas”, “residential and commercial areas” and “industrial areas” according to the national regulations, during morning, mid-day and evening hours. Our findings tabulated and mapped revealed that mean noise level in “residential and commercial areas” was highest relative to the other land-use types. Minimum and maximum values of noise pollution were recorded during the mid-day and evening hours, regardless of the land-use types. Noise limit values were exceeded at two locations only out of 38 based on the national regulation criteria and at over half of the locations based on the international criteria.     

Determining Sources of Fecal Bacteria in Waterways

The microbiological contamination of waterways by pathogenic microbes has been, and is still, a persistent public safety concern in the United States and in most countries of the world. As most enteric pathogens are transmitted through the fecal–oral route, fecal pollution is generally regarded as the major contributor of pathogens to waterways. Fecal pollution of waterways can originate from wastewater treatment facilities, septic tanks, domestic- and wild-animal feces, and pets. Because enteric pathogens are derived from human or animal sources, techniques capable of identifying and apportioning fecal sources have been intensively investigated for use in remediation efforts and to satisfy regulatory concerns. Pollution of human origin is of the most concern, since human feces is more likely to contain human-specific enteric pathogens. Fecal indicator bacteria have been used successfully as the primary tool for microbiologically based risk assessment. However measurement of fecal indicator bacteria does not define what pathogens are present, or define the sources of these bacteria. Microbial source tracking (MST) methods that have the ability to differentiate among sources of fecal pollution are currently under development. These methods will ultimately be useful for risk assessment purposes and to aid regulatory agencies in developing strategies to remediate microbiologically impaired waterways.     

Effectiveness and potential ecological effects of offshore surface dispersant use during the Deepwater Horizon oil spill: a retrospective analysis of monitoring data

The Special Monitoring of Applied Response Technologies (SMART) program was used during the Deepwater Horizon oil spill as a strategy to monitor the effectiveness of sea surface dispersant use. Although SMART was implemented during aerial and vessel dispersant applications, this analysis centers on the effort of a special dispersant missions onboard the M/V International Peace, which evaluated the effectiveness of surface dispersant applications by vessel only. Water samples (n?=?120) were collected from background sites, and under naturally and chemically dispersed oil slicks, and were analyzed for polycyclic aromatic hydrocarbons (TPAHs), total petroleum hydrocarbons (TPH), and a chemical marker of Corexit® (dipropylene glycol n-butyl ether, DPnB). Water chemistry results were analyzed relative to SMART field assessments of dispersant effectiveness (“not effective,” “effective,” and “very effective”), based on in situ fluorometry. Chemistry data were also used to indirectly determine if the use of dispersants increased the risk of acute effects to water column biota, by comparison to toxicity benchmarks. TPAH and TPH concentrations in background, and naturally and chemically dispersed samples were extremely variable, and differences were not statistically detected across sample types. Ratios of TPAH and TPH between chemically and naturally dispersed samples provided a quantitative measure of dispersant effectiveness over natural oil dispersion alone, and were in reasonable agreement with SMART field assessments of dispersant effectiveness. Samples from “effective” and “very effective” dispersant applications had ratios of TPAH and TPH up to 35 and 64, respectively. In two samples from an “effective” dispersant application, TPHs and TPAHs exceeded acute benchmarks (0.81 mg/L and 8 μg/L, respectively), while none exceeded DPnB’s chronic value (1,000 μg/L). Although the primary goal of the SMART program is to provide near real-time effectiveness data to the response, and not to address concerns regarding acute biological effects, the analyses presented here demonstrate that SMART can generate information of value to a larger scientific audience. A series of recommendations for future SMART planning are also provided.     

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.     

浅谈日本琵琶湖水环境治理经验

介绍了日本琵琶湖水环境的治理经验。详细闸述了当地政府对生活排水、工业污水和农业排水3个主要污染源的控制和治理措施,此外,还介绍了入湖河流的直接净化措施。     

2009—2017年南充市城区酸雨特征分析

为了更为有效地治理酸雨污染,根据南充市环境监测中心站提供的2009—2017年降水监测数据,对南充市城区酸雨污染情况进行了分析及源解析。结果表明:2009—2017年,南充市降水pH从4.60波动上升至5.6以上,酸雨频率波动下降,酸雨污染情况有所改善;[SO4^2-]/[NO3^-]从4.92下降至0.86,酸雨污染类型从硫酸型转变为硝酸-硫酸型。同时,对比分析2014—2016年大气污染物排放源可知,NOx排放源中,工业污染源占比由14%降至11%,生活污染源由2%上升至5%;SO2排放源中,工业污染源占比由62%降至43%,生活污染源由38%上升至57%,表明南充市SO2污染已从以工业污染源为主转变为工业污染源与生活污染源并重。     

新发展阶段生态环境监测面临的若干问题和解决思路

“十四五”时期是我国全面建成小康社会、实现第一个百年奋斗目标之后,乘势而上开启全面建设社会主义现代化国家新征程、向第二个百年奋斗目标进军的第一个五年,我国将进入新发展阶段。通过研究新发展阶段需求,分析生态环境监测存在的问题和短板,指出在职能转变、“减污降碳”、“真、准、全”等方面距离深入治污攻坚要求存在的差距,并以新发展理念为指导,研究提出生态环境监测体系与监测能力现代化建设的内涵实质、重要基础以及关键突破口,为加快构建生态环境监测新发展格局提供参考。     

Fire risk evaluation using multicriteria analysis—a case study

Forest fires are one of the major causes of ecological disturbance and environmental concerns in tropical deciduous forests of south India. In this study, we use fuzzy set theory integrated with decision-making algorithm in a Geographic Information Systems (GIS) framework to map forest fire risk. Fuzzy set theory implements classes or groupings of data with boundaries that are not sharply defined (i.e., fuzzy) and consists of a rule base, membership functions, and an inference procedure. We used satellite remote sensing datasets in conjunction with topographic, vegetation, climate, and socioeconomic datasets to infer the causative factors of fires. Spatial-level data on these biophysical and socioeconomic parameters have been aggregated at the district level and have been organized in a GIS framework. A participatory multicriteria decision-making approach involving Analytical Hierarchy Process has been designed to arrive at a decision matrix that identified the important causative factors of fires. These expert judgments were then integrated using spatial fuzzy decision-making algorithm to map the forest fire risk. Results from this study were quite useful in identifying potential “hotspots” of fire risk, where forest fire protection measures can be taken in advance. Further, this study also demonstrates the potential of multicriteria analysis integrated with GIS as an effective tool in assessing “where and when” forest fires will most likely occur.