TL;DR: PCA/FA and cluster analysis suggest that As, Cd, Co,Cr, Cr, Cu, Mn, Ni and Zn are derived from the anthropogenic sources, particularly metallic discharges of the copper mine plant.
TL;DR: The data is synthesized to assess the status of the anthropogenic N(r) emissions and N deposition as well as their impacts on different ecosystems, including empirical critical loads for different ecosystems.
TL;DR: The data showed that uncontrolled e-waste processing operations caused serious pollution to local soils and vegetables, and the cleaning up of former incineration sites should be a priority in any future remediation program.
TL;DR: This discussion concentrates on how green roofs influence air pollution, carbon dioxide emissions, carbon sequestration, longevity of roofing membranes that result in fewer roofing materials in landfills, water quality of stormwater runoff, and noise pollution.
TL;DR: In this article, the authors present a framework to include environmental externali- ties into a system of national accounts, and they estimate the air pollution damages for each industry in the United States.
Abstract: This study presents a framework to include environmental externali- ties into a system of national accounts. The paper estimates the air pollution damages for each industry in the United States. An inte- grated-assessment model quantifies the marginal damages of air pol- lution emissions for the US which are multiplied times the quantity of emissions by industry to compute gross damages. Solid waste com- bustion, sewage treatment, stone quarrying, marinas, and oil and coal-fired power plants have air pollution damages larger than their value added. The largest industrial contributor to external costs is coal-fired electric generation, whose damages range from 0.8 to 5.6 times value added. (JEL E01, L94, Q53, Q56)
TL;DR: Overall, nonpoint sources such as atmospheric deposition, wastewater, and fertilizer showed different susceptibility to watershed N export, and anticipating source changes in response to climate and storms will be critical for managing nonpoint N pollution.
Abstract: Nonpoint source nitrogen (N) pollution is a leading contributor to U.S. water quality impairments. We combined watershed N mass balances and stable isotopes to investigate fate and transport of nonpoint N in forest, agricultural, and urbanized watersheds at the Baltimore Long-Term Ecological Research site. Annual N retention was 55%, 68%, and 82% for agricultural, suburban, and forest watersheds, respectively. Analysis of δ15N-NO3–, and δ18O-NO3– indicated wastewater was an important nitrate source in urbanized streams during baseflow. Negative correlations between δ15N-NO3– and δ18O-NO3– in urban watersheds indicated mixing between atmospheric deposition and wastewater, and N source contributions changed with storm magnitude (atmospheric sources contributed ∼50% at peak storm N loads). Positive correlations between δ15N-NO3– and δ18O-NO3– in watersheds suggested denitrification was removing septic system and agriculturally derived N, but N from belowground leaking sewers was less susceptible to denitrifi...
TL;DR: In this paper, an extensive soil survey was conducted in urban areas of Changchun, China, to evaluate the current status of heavy metal contamination in soils and to evaluate its potential sources.
TL;DR: Results showed that most heavy metals in ditch and riparian wetlands did not significantly differ from those in reclaiming wetlands in A region, while significantly lower for Cd, Cu, Pb, and Zn in reclaimed wetlands in B region, suggesting higher effects of long-term reclamation.
TL;DR: Results showed that the effect of mineralogy on level of radioactivity should be significant, however, mineralogy effect on heavy metal composition in the sediments should be limited, indicating that other factors such as vicinity of the pollution sources are more important.
TL;DR: In this article, the sources and impacts of heavy metal pollution as well as various remediation techniques are described, including physical removal, detoxification, bioleaching, and phytoremediation.
Abstract: Although some heavy metals are essential trace elements, most of them can be toxic to all forms of life at high concentrations due to formation of complex compounds within the cell. Unlike organic pollutants, heavy metals once introduced into the environment cannot be biodegraded. They persist indefinitely and cause pollution of air, water, and soils. Thus, the main strategies of pollution control are to reduce the bioavailability, mobility, and toxicity of metals. Methods for remediation of heavy metal-contaminated environments include physical removal, detoxification, bioleaching, and phytoremediation. Because heavy metals are increasingly found in microbial habitats due to natural and industrial processes, microorganisms have evolved several mechanisms to tolerate their presence by adsorption, complexation, or chemical reduction of metal ions or to use them as terminal electron acceptors in anaerobic respiration. In heavy metals, pollution abatement, microbial sensors, and transformations are getting increased focus because of high efficiency and cost effectiveness. The sources and impacts of heavy metal pollution as well as various remediation techniques are described.
TL;DR: This article investigated the relationship between economic growth and industrial pollution emissions in China using data for 112 major cities between 2001 and 2004 and found that most air and water emissions rise with increases in economic growth at current income levels.
Abstract: In this paper, we investigate the relationship between economic growth and industrial pollution emissions in China using data for 112 major cities between 2001 and 2004. Using disaggre- gated data, we separate foreign direct investment inflows from Hong Kong, Macao, and Taiwan from those of other foreign economies. We examine two industrial water pollution indicators (wastewater and petroleum-like matter) and four industrial air pollution indicators (waste gas, sulfur dioxide, soot, and dust). Our results suggest that most air and water emissions rise with increases in economic growth at current income levels. The share of output of domestic- and foreign-owned firms increases several pollutants in a statistically significant manner while output of firms from Hong Kong, Macao, and Taiwan either reduces pollution or is statistically insignificant. In this paper, we examine the relationship between economic growth, FDI, and the environment in China. We make three specific contributions to the growth-environment literature. First, we focus specifically on China given the undeniable strain such a large and rapidly growing economy is placing on the natural environment. Studies investigat- ing these issues in China are relatively scarce. Second, since the majority of industrial emissions are released in urban areas, we concentrate our analysis on Chinese cities and examine the city-level characteristics that influence industrial emissions. We believe the use of city-level variables provides more potential explanatory power than the use
TL;DR: It is found that within areas covered by the monitoring networks, non-Hispanic blacks are consistently overrepresented in communities with the poorest air quality, and among areas where monitoring data are available, low income and minority communities tend to experience higher ambient pollution levels.
Abstract: This paper assesses whether the Clean Air Act and its Amendments have been equally successful in ensuring the right to healthful air quality in both advantaged and disadvantaged communities in the United States. Using a method to rank air quality established by the American Lung Association in its 2009 State of the Air report along with EPA air quality data, we assess the environmental justice dimensions of air pollution exposure and access to air quality information in the United States. We focus on the race, age, and poverty demographics of communities with differing levels of ozone and particulate matter exposure, as well as communities with and without air quality information. Focusing on PM2.5 and ozone, we find that within areas covered by the monitoring networks, non-Hispanic blacks are consistently overrepresented in communities with the poorest air quality. The results for older and younger age as well as poverty vary by the pollution metric under consideration. Rural areas are typically outside the bounds of air quality monitoring networks leaving large segments of the population without information about their ambient air quality. These results suggest that substantial areas of the United States lack monitoring data, and among areas where monitoring data are available, low income and minority communities tend to experience higher ambient pollution levels.
TL;DR: Using seasonal monitoring data of total suspended particles, sulfur dioxide and nitrogen dioxide from six parks in Pudong District, Shanghai, China, it is demonstrated vegetations in parks can remove large amount of airborne pollutants.
TL;DR: In this article, the experimental data concerning the effect of three representative air pollutants (i.e., red soil, limestone and carbonaceous fly-ash particles) on the energy performance of PV installations are analyzed.
TL;DR: In this paper, water and sediment samples were collected from 20 location of the Buriganga river of Bangladesh during Summer and Winter 2009 to determine the spatial distribution, seasonal and temporal variation of different heavy metal contents.
Abstract: Water and sediment samples were collected from 20 location of the Buriganga river of Bangladesh during Summer and Winter 2009 to determine the spatial distribution, seasonal and temporal variation of different heavy metal contents. Sequential extraction procedure was employed in sediment samples for the geochemical partitioning of the metals. Total trace metal content in water and sediment samples were analyzed and compared with different standard and reference values. Concentration of total chromium, lead, cadmium, zinc, copper, nickel, cobalt and arsenic in water samples were greatly exceeded the toxicity reference values in both season. Concentration of chromium, lead, copper and nickel in sediment samples were mostly higher than that of severe effect level values, at which the sediment is considered heavily polluted. On average 72 % chromium, 92 % lead, 88 % zinc, 73 % copper, 63 % nickel and 68 % of total cobalt were associated with the first three labile sequential extraction phases, which portion is readily bioavailable and might be associated with frequent negative biological effects. Enrichment factor values demonstrated that the lead, cadmium, zinc, chromium and copper in most of the sediment samples were enriched sever to very severely. The pollution load index value for the total area was as high as 21.1 in Summer and 24.6 in Winter season; while values above one indicates progressive deterioration of the sites and estuarine quality. The extent of heavy metals pollution in the Buriganga river system implies that the condition is much frightening and may severely affect the aquatic ecology of the river.
TL;DR: It can be demonstrated that the Pollution Load Index of industrial heavy metals and the logarithm of saturation isothermal remanent magnetization, a proxy for magnetic concentration, are significantly correlated.
TL;DR: It is suggested that increased shipping and industrial wastes have deposited large amounts of heavy metals which have been accumulated in the WLFZ during submergence period.
TL;DR: Wu et al. as discussed by the authors used HaChi (Haze in China) project at Wuqing Meteorology Station, located between two mega-cities (Beijing and Tianjin) in the North China Plain (NCP) from 9 July 2009 to 21 January 2010.
Abstract: . North China Plain (NCP) is one of the most densely populated regions in China and has experienced enormous economic growth in the past decades. Its regional trace gas pollution has also become one of the top environmental concerns in China. Measurements of surface trace gases, including O 3 , NO x , SO 2 and CO were carried out within the HaChi (Haze in China) project at Wuqing Meteorology Station, located between 2 mega-cities (Beijing and Tianjin) in the NCP, from 9 July 2009 to 21 January 2010. Detailed statistical analyses were made in order to provide information on the levels of the measured air pollutants and their characteristics. Gaseous air pollutant concentrations were also studied together with meteorological data and satellite data to help us better understand the causes of the observed variations in the trace gases during the field campaign. In comparison to measurements from other rural and background stations in the NCP, relatively high concentrations were detected in Wuqing, presumably due to regional mixing and transport of pollutants. Local meteorology had deterministic impacts on air pollution levels, which have to be accounted for when evaluating other effects on pollutant concentrations. Trace gas concentrations showed strong dependence on wind, providing information on regional pollution characteristics. O 3 mixing ratio also showed clear dependencies on temperature and relative humidity.
TL;DR: In this article, various water quality indices (WQI) used for assessing surface water quality are discussed and a comparative study of many indices and detailed out eight WQI's perceived as simple, basic and most important indices for water quality assessment.
Abstract: Assessment of water quality can be defined as the analysis of physical, chemical and biological characteristics of water. Water quality indices aim at giving a single value to the water quality of a source reducing great amount of parameters into a simpler expression and enabling easy interpretation of monitoring data. In this study, various water quality indices (WQI) used for assessing surface water quality are discussed. As different National and International Agencies involved in water quality assessment and pollution control defines water quality criteria for different uses of water considering different indicator parameters, so there are numerous WQI specific to any region or area. An attempt to cover all different water quality indices developed worldwide, their background and application area has been made here. In this context, this paper displays a comparative study of many indices and detailed out eight WQI’s perceived as simple, basic and most important indices for water quality assessment. Their mathematical structure, set of parameters, calculation, aggregation formula and flaws have also been detailed out.
TL;DR: In this article, an assessment of heavy metal pollutants: Al, Co, Cu, Fe, Pb, Mn, Ni and Zn was conducted along major roadside soils of Botswana, lying between latitudes 18°S to 27°S and longitudes 20°E to 29°E using enrichment factor ratios (EF), contamination factor (CF), pollution load index (PLI), and geoaccumulation index (Igeo) methods.
Abstract: Assessment of heavy metal pollutants: Al, Co, Cu, Fe, Pb, Mn, Ni and Zn was conducted along major roadside soils of Botswana, lying between latitudes 18°S to 27°S and longitudes 20°E to 29°E using enrichment factor ratios (EF), contamination factor (CF), pollution load index (PLI) and geoaccumulation index (Igeo) methods. The studied sites were demarcated into five zones referred to as FN (Francistown-Nata), NM (Nata-Maun), MG (Maun-Ghanzi), GK (Ghanzi-Kang) and TS (Tshabong-Sekoma). All the four pollution assessment methods revealed that zones FN, NM and MG are pollution impacted as compared to GK and TS zones. Results of multivariate analysis suggest mixed origins of pollution sources including human activities, vehicular emissions and lithogenic occurrences. Al, Cu, Fe, Mn, Zn and Co is of mixed origins of pollutants, with Fe and Mn being predominantly lithogenic, and vehicular emissions characterised by Pb and Ni. The findings in this study will serve to create awareness of vehicular heavy metal pollution to Botswana policy makers in the mitigation of vehicular pollution, as it is barely monitored.
Key words: Heavy metal contamination, roadside soils, enrichment factors, contamination factor, pollution load index, geoaccumulation index, cluster analysis, factor analysis.
TL;DR: Waste effluents are characterized by their abnormal turbidity, conductivity, chemical oxygen demand (COD), total suspended solids (TSS), biological oxygen demand(BOD), and total hardness.
Abstract: Industrial wastewaters entering a water body represent a heavy source of environmental pollution in Nigerian rivers. It affects both the water quality as well as the microbial and aquatic flora. With competing demands on limited water resources, awareness of the issues involved in water pollution, has led to considerable public debate about the environmental effects of industrial effluents discharged into aquatic environments. Industrial effluents are characterized by their abnormal turbidity, conductivity, chemical oxygen demand (COD), total suspended solids (TSS), biological oxygen demand (BOD), and total hardness. Industrial wastes containing high concentration of microbial nutrients would obviously promote an after-growth of significantly high coliform types and other microbial forms. Organic pollution is always evident and the pollution is made worse by land-based sources such as the occasional discharge of raw sewage through storm water outlets, and industrial effluents from refineries, oil terminals, and petrochemical plants. Waste effluents rich in decomposable organic matter, is the primary cause of organic pollution. Waste waters from textile, brewery, food and beverages, paper, pulp and palm oil industries, the cases chosen, are believed to give a broad outline of industrial wastes as well as disposal problems.
TL;DR: In this paper, a new epidemiological index based on the health effects of the pollutants is proposed to determine whether they display evidence of an Environmental Kuznets Curve (EKC) and also examine how they behave in comparison to the individual pollutants.
TL;DR: In subjects with T2DM, PM was associated with increased BP, and ozone was associatedWith decreased BP, which may be clinically important in patients with already compromised autoregulatory function.
Abstract: Background: Diabetes increases the risk of hypertension and orthostatic hypotension and raises the risk of cardiovascular death during heat waves and high pollution episodes.Objective: We examined ...
TL;DR: Based on data collected in this study and the International Pellet Watch program, pollution in Saronikos Gulf, Greece, is comparable to other heavily industrialized places of the world.
TL;DR: The leaching rates (R1) of heavy metals in LR were much lower than those in SS, revealing that the mobility/leachability ofheavy metals was well suppressed after liquefaction, and overall risks caused by heavy metals were lowered.
TL;DR: In this article, a high resolution emission inventory of PM 10 and PM 2.5 has been developed for the metropolitan city of Delhi for the year 2010, which involves detailed activity data and developed for a domain of 70.km-×-65.km with a 1.67-km resolution covering Delhi and surrounding region using Geographical Information System (GIS) technique.
TL;DR: Stormwater quality was evaluated by comparing the substance concentrations to environmental quality standards (EQS) and the particulate content to Canadian sediment quality guidelines and showed that stormwater was highly contaminated and should be treated before being discharged to receiving waters in order to avoid any adverse impact on the river quality.
TL;DR: The regional scale pollution history inferred from the three large and deep perialpine lakes points out at the pollution of water systems by heavy metals during the last two centuries due to the discharge of industrial effluents.