Development of a hybrid pollution index for heavy metals in marine and estuarine sediments

Heavy metal pollution of sediments is a growing concern in most parts of the world, and numerous studies focussed on identifying contaminated sediments by using a range of digestion methods and pollution indices to estimate sediment contamination have been described in the literature. The current work provides a critical review of the more commonly used sediment digestion methods and identifies that weak acid digestion is more likely to provide guidance on elements that are likely to be bioavailable than other traditional methods of digestion. This work also reviews common pollution indices and identifies the Nemerow Pollution Index as the most appropriate method for establishing overall sediment quality. Consequently, a modified Pollution Index that can lead to a more reliable understanding of whole sediment quality is proposed. This modified pollution index is then tested against a number of existing studies and demonstrated to give a reliable and rapid estimate of sediment contamination and quality.

Construction of a historical Water Pollution Index for the Mersey Basin

The Mersey Basin has been significantly polluted for over 200 years. However, there is a lack of quantitative historical water quality data as effective water quality monitoring and data recording only began 30-40 years ago. This paper assesses water pollution in the Mersey Basin using a Water Pollution Index constructed from social and economic data. Methodology, output and the difficulties involved with validation are discussed. With the limited data input available the index approximately reproduces historical water quality. The paper illustrates how historical studies of environmental water quality may provide valuable identification of factors responsible for pollution and a marker set for contemporary and future water quality issues in the context of the past. This is an issue of growing research interest.

A recommended air pollution index /

Mode of access: Internet.

Enrichment, distribution and sources of heavy metals in the sediments of Deception Bay, Queensland, Australia

Sediment samples from 13 sampling sites in Deception Bay, Australia were analysed for the presence of heavy metals. Enrichment factors, modified contamination indices and Nemerow pollution indices were calculated for each sampling site to determine sediment quality. The results indicate significant pollution of most sites by lead (average enrichment factor (EF) of 13), but there is also enrichment of arsenic (average EF 2.3), zinc (average EF 2.7) and other heavy metals. The modified degree of contamination indices (average 1.0) suggests that there is little contamination. By contrast, the Nemerow pollution index (average 5.8) suggests that Deception Bay is heavily contaminated. Cluster analysis was undertaken to identify groups of elements. Strong correlation between some elements and two distinct clusters of sampling sites based on sediment type was evident. These results have implications for pollution in complex marine environments where there is significant influx of sand and sediment into an estuarine environment.

Ecological risk assessment of pollution in sediment on benthic fauna in coast of Bandar Abbas

Ecological risk assessment is determination of the probability of an adverse effect occurring to an ecological system. This investigation was carried out to assess the ecological risk of sediment in coast of Bandar Abbass in 9 stations including Shilat Jetty, Hotel Amin, Poshte-Shahr, Souro, Bahonar Jetty, Powerhouse, Refinery and Rajaee Jetty from autumn 2013 to summer 2014. Results showed that Polychaete with 1177 , 1109 , 414 , 573 , ind.m2 in autumn 91 , winter 91 , spring 92 and summer 92 were the most abundant in frequency respectively. Among ecological indices, the Margalof that ranged from 4 to 7 was in a good situation while Shanoon and Berger – Parker with 1.2 (at most) and 0.32 (at least) respectively indicated an environment with probable stress. Heavy metal distribution obtained as Cd>Pb>Cu>Zn in sediment. In tissue, the distribution of heavy metals were as Crab>polychaete>Bivalve>gastropod for Pb, Gastropod>Bivalve>Polychaete>Crab for Cd, Gastropod>Crab>Polychaete>Bivalve for Cu and Gastropod>Bivalve>Crab>Polychaete for Zn. Maximum and Minimum of TOM obtained 10.16 and 1.96 percent in Posht-e-Shahr and shilat Jetty respectively and clay was the dominant grain in most area. Bioaccumulation coefficient of Zn and Cu was high in all stations. Igeo as a single index was high for Cd indicating a high risk in all stations. Potential Ecological Risk was high for Cu and Zn and goes increasingly from shilat Jetty to Rajee Jetty but goes down for Pb. Pollution index for Cu and Pb was nearly the same as Potential Ecological Risk but for Zn goes constantly. Among PAH, 5-ring and 6-ring PAhs were more concentrate comparison to other compounds in sediment. 2-ring and 3-ring, 3-ring, 4-ring and 5-ring and 5-ring PAHs were more concentrate in Gastropod, Bivalve, Crab and Polychaete respectively. HI as an index of PAH obtained 1. Ecological Risk Indices showed that the heavy metals are a serious risk for invertebrate in sediment but PAHs are not a risk for benthic community.

Heavy metals in the sediments of Northern Moreton Bay, Queensland, Australia

This project was the first comprehensive assessment of heavy metals to be conducted in the sediments of Northern Moreton Bay since the 1970s and found that shipping and shipping related activities contributed significantly to the level of sediment contamination in the area. The study was also used to develop and test new methods of assessing heavy metal sediment quality.

苔藓植物对沈阳市大气质量的指示作用

借助苔藓植物,应用大气净度指数(index of atmospheric purity)法与重金属(Mn、Fe、Cu、Cr和Pb)含量化学分析法相结合指示沈阳市的大气质量状况。结果表明:沈阳市样点可根据大气污染状况划分为3个区域,其中市区污染程度大于郊区,市区西部污染大于东部,南部大于北部;各区以Pb污染程度最为严重,值得重视。该结果与监测站所得空气污染指数(air pollution index)结果相符。

EnvironalPlanning: an analytical network process model for environmentally conscious construction planning

Although the construction pollution index has been put forward and proved to be an efficient approach to reducing or mitigating pollution level during the construction planning stage, the problem of how to select the best construction plan based on distinguishing the degree of its potential adverse environmental impacts is still a research task. This paper first reviews environmental issues and their characteristics in construction, which are critical factors in evaluating potential adverse impacts of a construction plan. These environmental characteristics are then used to structure two decision models for environmental-conscious construction planning by using an analytic network process (ANP), including a complicated model and a simplified model. The two ANP models are combined and called the EnvironalPlanning system, which is applied to evaluate potential adverse environmental impacts of alternative construction plans.

Essays on Environmental and Health Economics

Thesis (Ph.D.)--University of Washington, 2016-06

Trends in Water Quality within the Broward County Portion of the Biscayne Aquifer

Continuous and reliable monitoring of contaminants in drinking water, which adversely affect human health, is the main goal of the Broward County Well Field Protection Program. In this study the individual monitoring station locations were used in a yearly and quarterly spatiotemporal Ordinary Kriging interpolation to create a raster network of contaminant detections. In the final analysis, the raster spatiotemporal nitrate concentration trends were overlaid with a pollution vulnerability index to determine if the concentrations are influenced by a set of independent variables. The pollution vulnerability factors are depth to water, recharge, aquifer media, soil, impact to vadose zone, and conductivity. The creation of the nitrate raster dataset had an average RMS Standardized error close to 1 at 0.98. The greatest frequency of detections and the highest concentrations are found in the months of April, May, June, July, August, and September. An average of 76.4% of the nitrate intersected with cells of the pollution vulnerability index over 100.

Decomposition analysis of air pollution abatement in China: empirical study for ten industrial sectors from 1998 to 2009

This study analyzes the management of air pollutant substance in Chinese industrial sectors from 1998 to 2009. Decomposition analysis applying the logarithmic mean divisia index is used to analyze changes in emissions of air pollutants with a focus on the following five factors: coal pollution intensity (CPI), end-of-pipe treatment (EOP), the energy mix (EM), productive efficiency change (EFF), and production scale changes (PSC). Three pollutants are the main focus of this study: sulfur dioxide (SO2), dust, and soot. The novelty of this paper is focusing on the impact of the elimination policy on air pollution management in China by type of industry using the scale merit effect for pollution abatement technology change. First, the increase in SO2 emissions from Chinese industrial sectors because of the increase in the production scale is demonstrated. However, the EOP equipment that induced this change and improvements in energy efficiency has prevented an increase in SO2 emissions that is commensurate with the increase in production. Second, soot emissions were successfully reduced and controlled in all industries except the steel industry between 1998 and 2009, even though the production scale expanded for these industries. This reduction was achieved through improvements in EOP technology and in energy efficiency. Dust emissions decreased by nearly 65% between 1998 and 2009 in the Chinese industrial sectors. This successful reduction in emissions was achieved by implementing EOP technology and pollution prevention activities during the production processes, especially in the cement industry. Finally, pollution prevention in the cement industry is shown to result from production technology development rather than scale merit. © 2013 Elsevier Ltd. All rights reserved.