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\" W. T. Edmondson has spent his career answering questions about the ecological impacts of human experiments on lakes in Washington State. In this volume, he recounts these studies and captures from his experiences a larger view of the nature of our environmental problems. . . . While the commentary is wide ranging, the foundation is a personal account of one ecologist's lifetime experience on the dual points of research and public application of that research.\"-Research and Exploration\"W. T. Edmondson, a zoologist, extracts enduring lessons from his more than 50 years of experience in persuading political powers to make use of scientific knowledge when they set about drawing up laws for managing human interventions in the environment. Any scientist who follows in Edmondson's footsteps should benefit from reading this sensitive recounting of political battles.\"-Garrett Hardin, Pacific Northwest Quarterly

Across the United States, thousands of people, most of them in low-income or minority communities, live next to heavily polluting industrial sites. Many of them reach a point at which they say \"Enough is enough.\" After living for years with poisoned air and water, contaminated soil, and pollution-related health problems, they start to take action--organizing, speaking up, documenting the effects of pollution on their neighborhoods. In Sacrifice Zones, Steve Lerner tells the stories of twelve communities, from Brooklyn to Pensacola, that rose up to fight the industries and military bases causing disproportionately high levels of chemical pollution. He calls these low-income neighborhoods \"sacrifice zones.\" And he argues that residents of these sacrifice zones, tainted with chemical pollutants, need additional regulatory protections. Sacrifice Zones goes beyond the disheartening statistics and gives us the voices of the residents themselves, offering compelling portraits of accidental activists who have become grassroots leaders in the struggle for environmental justice and details the successful tactics they have used on the fenceline with heavy industry.

“ W. T. Edmondson has spent his career answering questions about the ecological impacts of human experiments on lakes in Washington State. In this volume, he recounts these studies and captures from his experiences a larger view of the nature of our environmental problems. . . . While the commentary is wide ranging, the foundation is a personal account of one ecologist’s lifetime experience on the dual points of research and public application of that research.”—Research and Exploration“W. T. Edmondson, a zoologist, extracts enduring lessons from his more than 50 years of experience in persuading political powers to make use of scientific knowledge when they set about drawing up laws for managing human interventions in the environment. Any scientist who follows in Edmondson’s footsteps should benefit from reading this sensitive recounting of political battles.”—Garrett Hardin, Pacific Northwest Quarterly

Nitrate pollution in rivers, lakes, shallow groundwater, and even deep groundwater occurs in many parts of the world. And, it’s essential to assessing the relationship between nitrate pollution and human health, which is called human health risk assessment (HHRA). In this paper, groundwater samples were collected for their nitrate content in a typical karst hydrogeological unit in East China during the wet and dry seasons. Then, a human health risk assessment was conducted using the four-step risk assessment process developed by the US Environmental Protection Agency (USEPA), which aimed to determine the potential risk posed to human health by nitrate in the groundwater. To make the assessment more authentic and objective, the drinking water and dermal contact exposure pathways were considered, and the people were divided into four groups, including infants (0~6 months), children (7 months~17 years old), females (18 years and older), and males (18 years and older), in the wet and dry seasons to determine the impacts of the exposure pathway, age, sex, and precipitation period. The results indicated that more than half of the groundwater samples exceeded 10 mg/L (measured as nitrogen), which is the drinking water standard of China. The children and infants had greater health risks than the adults at the same groundwater nitrate concentration, and those two groups need to be paid more attention; the adult females had a greater health risk than the adult males in the two precipitation periods, which shows that the order of the health risk was infants ˃ children ˃ adult females ˃ adult males. In addition, the value of the hazard quotient (HQ) and the area of the adverse effects were both higher in the wet season than in the dry season, which explains that precipitation can affect the human health risk as well. The HQ caused by the drinking water exposure pathway was much higher than that caused by the dermal contact exposure pathway. This study can provide information for more effective and reasonable decisions to city managers for groundwater nitrate pollution prevention.

Natural streams longitudinal dispersion coefficient ( Kx ) is an essential indicator for pollutants transport and its determination is very important. Kx is influenced by several parameters, including river hydraulic geometry, sediment properties, and other morphological characteristics, and thus its calculation is a highly complex engineering problem. In this research, three relatively explored machine learning (ML) models, including Random Forest (RF), Gradient Boosting Decision Tree (GTB), and XGboost-Grid, were proposed for the Kx determination. The modeling scheme on building the prediction matrix was adopted from the well-established literature. Several input combinations were tested for better predictability performance for the Kx . The modeling performance was tested based on the data division for the training and testing (70–30% and 80–20%). Based on the attained modeling results, XGboost-Grid reported the best prediction results over the training and testing phase compared to RF and GTB models. The development of the newly established machine learning model revealed an excellent computed-aided technology for the Kx simulation.

An integrated approach of pollution evaluation indices and statistical techniques was employed to assess the intensity and sources of pollution in Curtin Lake water, Miri City, East Malaysia. Fe, Pb and Se concentrations in most of the water samples exceed the maximum admissible concentration. The heavy metal evaluation index (HEI) shows strong correlations with heavy metal pollution index (HPI) and degree of contamination (C d), and gives a better assessment of pollution levels. Samples from all the 25 locations in the lake were classified as high in C d and low in HPI compared with the respective critical values. The modified schemes of HPI and C d show comparable results with HEI and indicate that about 48 % of the samples with values lower than mean were classed as low contamination and the remaining samples (52 %) with values greater than the mean were classed as medium contamination. Cluster analysis, principal component analysis and pollution indices reveal that the quality of water is mainly controlled by natural/geogenic processes with minor anthropogenic input. US Salinity Laboratory plot and EC classification were also been used to assess the suitability of lake water for agricultural purpose. The current distribution level of heavy metal in the lake water is of environmental and health concerns and needs attention.

Humans can be directly exposed to potentially toxic metals in the urban environment via inhalation, ingestion, or dermal contact of dust particles. This paper focuses on human health risk assessment of urban dust contaminated with potentially toxic metals. The levels, sources, and human health risks of nine potentially toxic metals (i.e., As, Cd, Cu, Cr, Ni, Pb, Co, Mn, and Zn) in 200 road dust samples from Rafsanjan area were investigated. Pollution level was assessed using the pollution index (PI) and geoaccumulation index (Igeo), and the health risk assessment was performed following the methodology described by the US Environmental Protection Agency. The mean concentrations of As, Cu, Pb, Cd, Cr, Ni, Zn, Co, and Mn in road dust were 105.3 ± 5.7, 791.4 ± 29.8, 123.1 ± 9.7, 28.4 ± 3.3, 3.1 ± 0.6, 18.4 ± 1.6, 252.6 ± 8.3, 16.5 ± 1.4, and 525.9 ± 21.0 mg kg−1, respectively. Thus, the concentrations of potentially toxic metals in road dust were higher than their corresponding natural background values, indicating that all studied potentially toxic metals were impacted by anthropogenic activities. The results of the current study are comparable to other studies conducted on road dust in other cities worldwide. Both of Igeo and PI decreased following order Cu > Mn > Pb > As > Zn > Cd > Ni > Cr > Co. Health risk assessment indicated that both of children and adults could be exposed to a potential increased risk of developing cancer over a lifetime from exposure to arsenic through ingestion of the dust samples. However, Pb ingestion can increase cancer risk in children.

The main objective of the current study was to use seven lots in Hartford, CT that are planned for community reuse to determine the optimal sampling density that allows for the detection of hotspots of lead pollution while limiting the labor of the sampling process. The sampling density was investigated using soil Pb measured by in situ X-ray Fluorescence as the indicator to evaluate soil health, with a new threshold of 200-mg/kg proposed by the USEPA in January of 2024. Even though this study takes place in an urban setting, where the new USEPA policy requires the use of a 100-mg/kg threshold for Pb due to the fact that there are other identifiable sources of the contaminant, only the 200-mg/kg threshold is discussed because it is evident from the analysis that compliance of a 100 mg/kg threshold in urban plots is highly unlikely (five out of seven sites would require complete site excavation prior to reuse). Using the inverse distance weighted geospatial interpolation of in situ pXRF determined lead measurements, grid sampling resolutions of 3-m, 4-m, 5-m, 6-m, 8-m, 10-m, and 12-m were compared. Ultimately, the case study finds that the largest grid resolution that can be implemented for soil screening to maintain hotspots of pollution to properly inform soil management decisions is a 6-m grid, or a density of approximately 1/36-m 2 .

The relationships between impervious surface area (ISA) patterns and characteristics have long been studied to examine the impacts of hydrological cycles, water management, surface energy balances, and biodiversity. This study assessed the Dianchi Lake watershed as a case study area to illustrate ISA change characteristics and their impacts on Dianchi Lake water quality. More than 200 Landsat images (from 1988 to 2017) were first downloaded through the US Geological Survey (USGS) online portal. Then, a series of ISA maps of the Dianchi Lake watershed at an annual resolution were built using a robust method we proposed. Then, the change characteristics of main water quality parameters were analyzed from spatial-temporal viewpoints. Finally, correlations between ISA and Lake water quality were made. The research results indicated that the ISA proportion of the Dianchi Lake watershed rapidly increased (from 1.84% in 1988 to 34.32% in 2017), the annual ISA total growth rate exceeded 21 km2/year, and the urban area encircled Dianchi Lake. The Dianchi Lake watershed has begun to adopt the “Rashly Advancing” and “Great Leap Forward” strategies of urbanization. Chlorophyll a (Chla), dissolved oxygen (DO), and transparency (Trans) showed significantly changing tendencies, whereas the values of pH, total nitrogen, and total phosphorus stayed relatively constant. The polynomial regression models and corresponding R2 values indicated strong correlations between ISA and three water quality parameters (Chla, DO, and Trans). The development of better strategies for the control and reduction of water pollution without optimizing ISA spatial distribution is essential for Kunming’s continued urbanization.