Environmental Monitoring and Assessment最新文献

{"title":"A comprehensive review on advanced trends in treatment technologies for removal of Bisphenol A from aquatic media","authors":"Sangeen Waleed,&nbsp;Muhammad Haroon,&nbsp;Naeem Ullah,&nbsp;Mustafa Tuzen,&nbsp;Imran Khan Rind,&nbsp;Ahmet Sarı","doi":"10.1007/s10661-024-13460-x","DOIUrl":"10.1007/s10661-024-13460-x","url":null,"abstract":"<div><p>Toxic environmental pollutants are considered to be posed a major threat to human and aquatic systems. The fast advancement of the petrochemical and chemical industries has woken up rising worries concerning the pollution of water by contaminants including phenolic Bisphenol A (BPA), an endocrine-disrupting chemical (EDC). The intermediate BPA used in synthesis of certain plastics, polycarbonate polymers, polysulfone, and epoxy resins of various polyesters. Due to potential health risks, severe toxicity, and widespread distribution, there is an urgent need to develop efficient techniques for the removal of BPA. Therefore, advance management for the active elimination of BPA prior to its release into the water sources is of serious concern. Degradation, membrane separation, adsorption, and biological treatments have been extensively examined as they are easy to operate and cost-effective for effective BPA removal. In this review, we summarized the mechanism and performance for removal of BPA by several sorbents, including natural polymers, natural inorganic minerals, porous and carbon-based materials. Comparative results revealed that composite materials and modified adsorbents have good performances for removal of BPA. Furthermore, kinetic study investigating adsorption mechanisms was also discussed. Hazardous quantities of such types of chemicals in various samples have thus been the subject of increasing concern of investigation. This review clarified the extensive literature regarding the major health effects of BPA and its advanced treatment technologies including biological treatment by natural and synthetic materials have been discussed briefly. It delivers regulation for future development and research from the aspects of materials functionalization, development of methods, and mechanism investigation that directing to stimulate developments for removal of emerging contaminants.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on the synergistic mechanism of proline in the treatment of high-salt phenolic wastewater by short-time aerobic digestion process","authors":"Yongqiang Zhu,&nbsp;Yaoqiang Huo,&nbsp;Minli Zhang,&nbsp;Zhiling Li,&nbsp;Yujun Huang","doi":"10.1007/s10661-024-13552-8","DOIUrl":"10.1007/s10661-024-13552-8","url":null,"abstract":"<div><p>High salt concentrations pose a significant challenge to the efficiency of activated sludge (AS) in phenolic wastewater treatment. As a cellular osmoprotectant, proline (Pro) has the capacity to increase the salt tolerance of microbes in AS, hence improving the efficiency of phenolic wastewater degradation. Nevertheless, the precise mechanism behind this enhancement remains ambiguous. This study utilized short-time aerobic digestion (STAD) to examine the kinetics of phenol degradation (250–750 mg/L) by AS under high-salinity stress (2–8%), with the inclusion of Pro (115–575 mg/L) as an auxiliary agent. The process was optimized via response surface methodology (RSM), and the mitigating effect of Pro on microorganisms in AS subjected to salt stress was evaluated. The results demonstrated that the addition of 468 mg/L Pro substantially improved the ability of AS to withstand high-salinity wastewater with high phenol concentrations, which had a salinity of 5.1% and a phenol concentration of 531 mg/L. The addition led to a mitigation rate of the phenol degradation constant <i>k</i>₀ of 38.59 ± 1.54%, resulting in enhanced degradation of chemical oxygen demand (COD), NH₄⁺-N, and NO₃⁻-N. In addition, the prolonged presence of Pro increased AS dehydrogenase activity (DHA) by 24.82% after 30 days. Microbial community analysis demonstrated that Pro promoted the proliferation of functional microorganisms such as Proteobacteria, Firmicutes, <i>Acinetobacter</i>, and <i>Comamonas</i>. These bacteria have essential functions in the elimination of phenol and organic matter, as well as the absorption of nitrogen. This study emphasizes the impact of Pro as a compatible solute in the treatment of high-salinity and high-phenol wastewater in the STAD process.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The older, the better: a comprehensive survey of soil organic carbon under commercial oil palm plantations","authors":"Karolina Golicz,&nbsp;Sim Choon Cheak,&nbsp;Suzanne Jacobs,&nbsp;André Große-Stoltenberg,&nbsp;Mojdeh Safaei,&nbsp;Sonoko Bellingrath-Kimura,&nbsp;Lutz Breuer,&nbsp;Ariani Wartenberg","doi":"10.1007/s10661-024-13540-y","DOIUrl":"10.1007/s10661-024-13540-y","url":null,"abstract":"<div><p>Soil conditions of croplands are a frequent topic of scientific research. In contrast, less is known about large-scale commercial plantations of perennial crops such as oil palm. Oil palm is a globally important tropical commodity crop which contributes to both food and energy security due to its exceptional productivity. However, oil palm crops are associated with short lifecycles and high nutrient demands, which may disproportionately affect soil health. With the goal of exploring baseline soil properties in commercial oil palm plantations, we evaluated data from two large-scale soil surveys carried out in 2014/2015 and 2018/2019 across more than 400 fields located throughout Peninsular Malaysia. We examined variation in field-measured soil quality indicators with a focus on soil organic carbon content at three depths (0–15 cm, 15–30 cm, 30–45 cm) and investigated links with spatial covariates, including plantation age. We found SOC contents to be low (1.6–2%) across the sampled locations with limited correlation with spatial predictors employed in soil organic carbon modelling. Furthermore, we found that immature and young mature plantations, which consisted of fields that were re-planted as part of a 20-year-long oil palm rotation, were characterised by significantly lower soil organic carbon content than the mature plantations. This suggests that management practices should target younger oil palm plantations for soil organic conservation measures to increase the overall baseline SOC content, which will subsequently accumulate over the plantation’s lifespan. We further provide recommendations for future soil sampling efforts, which could increase the robustness of collected data and facilitate their use for soil monitoring through modelling approaches involving, for example, digital soil mapping.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-024-13540-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artisanal and small-scale limestone mining affects soil parameters in Sohra (Meghalaya), India","authors":"R. Eugene Lamare,&nbsp;O. P. Singh","doi":"10.1007/s10661-024-13573-3","DOIUrl":"10.1007/s10661-024-13573-3","url":null,"abstract":"<div><p>In this study, we assessed the changes in the physical and chemical characteristics of the soil samples collected from the artisanal and small-scale limestone mining site in Sohra (Cherrapunjee), Meghalaya, by comparing them with the non-mining site. Eleven distinct soil parameters, namely pH, electrical conductivity (EC), texture (ST), moisture content (MC), bulk density (BD), total porosity (TP), water holding capacity (WHC), organic carbon (OC), total nitrogen (TN), available phosphorus (AP), and exchangeable potassium (EK), were evaluated seasonally (winter, pre-monsoon, and post-monsoon) for 2 years. The results showed that limestone mining has significantly affected the soil quality. The effect is evident by the substantial increases in EC values, sand content, and alkaline soils coupled with noticeably low concentrations of OC and TN. In addition, prominent changes were perceived in the soil MC and EK content, as well as in WHC, BD, and TP percent. Results from ANOVA revealed significant differences (<i>p</i> &lt; 0.05) in mean values at different sampling seasons and sites. The multivariate statistical analysis results showed that the computed correlation coefficient (<i>r</i>) matrix data ranged from − 1.00 to 0.974. A strong positive correlation was highest between OC and TN (0.974), followed by OC with EK (0.828). Principal component (PC) analysis revealed two major components, PC 1 and PC 2, having eigenvalues of 6.276 and 1.747, respectively. Cumulatively, these two components explained 80.23% of the total variance. The loading factor in PC 1 is high and is attributed to OC (.974), TN (.970), and EK (.903). However, in PC 2, the loading factor is positively pooled by MC (0.894) and TP (0.765). The present study concludes that artisanal and small-scale limestone mining altered the soil’s physical and chemical properties, and these changes are likely to have a subsequent deteriorating impact on the area’s biodiversity, landscape, and natural ecosystem. Therefore, to minimize the impact and ensure sustainable soil management in the area, approaches for effective mitigation and remediation measures, including formulating steps for the conservation and enhancement of the soil’s environmental quality, are recommended.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the accuracy of various statistical models for forecasting PM(_{2.5}): a case study from diverse regions of Gandhinagar and Ahmedabad","authors":"Sajeed I. Ghanchi,&nbsp;Dishant M. Pandya,&nbsp;Manan Shah","doi":"10.1007/s10661-024-13550-w","DOIUrl":"10.1007/s10661-024-13550-w","url":null,"abstract":"<div><p>PM<span>(_{2.5})</span> is the most hazardous air pollutant due to its smaller size, which allows deeper bodily penetration. Three diverse regions from Gujarat, India, namely Sector 10, Maninagar, and Vatva, which have green space, high population concentration, and industries, respectively, were chosen to forecast PM<span>(_{2.5})</span> concentration for the next day. Four statistical models, including Multiple Linear Regression (MLR), Principal Component Regression (PCR), Simple Exponential Smoothing (SES), and Autoregressive Integrated Moving Average (ARIMA), were chosen to forecast PM<span>(_{2.5})</span> levels. For this study, data of various pollutants and meteorological parameters were collected from February 2019 to September 2023. Analysis of the seasonal patterns of PM<span>(_{2.5})</span> revealed elevated concentrations during post-monsoon and winter, in contrast to reduced levels during summer and monsoon. Statistical analysis revealed that the concentration of PM<span>(_{2.5})</span> in Sector 10 is much lower than in the other two regions. The analysis of the test results, utilising various accuracy measures like RMSE, MAE, MAPE, IA, and others, indicated that Sector 10 achieved the highest precision in its results. While assessing the models’ accuracy on the test data, the ARIMA model demonstrated the highest level of precision. The average RMSE, MAE, and MAPE values for the ARIMA model were 12.63, 8.59, and 0.24, respectively. In the comparison of the performance between these statistical models and the neural network-based Multilayer Perceptron (MLP) model, it was observed that the statistical model demonstrated superior performance over the MLP model.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simplifying complexity: the novel degradation index for urban stream landscapes—case of Tekirdag","authors":"Emre Ozsahin,&nbsp;Mehmet Ozdes","doi":"10.1007/s10661-024-13590-2","DOIUrl":"10.1007/s10661-024-13590-2","url":null,"abstract":"<div><p>This study aims to examine the degradation process of urban stream landscapes in Tekirdağ by utilizing a newly developed degradation index (DI) that effectively defines degradation. The DI considers the vital factors that affect urban stream landscapes, making it possible to determine the level of degradation and resulting environmental quality. This index aims to provide valuable insight into the degradation of urban stream landscapes with a minimal amount of independent variables and training samples. The key enhancements of the DI include its clear computation of degradation value, ease of replication, and overall objectivity. The results indicate that the most substantial change has been observed on impermeable surfaces between 2000 and 2020, resulting in a 5.18% increase in impervious surfaces. Furthermore, there has been a decrease by 4.67% in agricultural lands, highlighting a pronounced shift towards impervious surfaces. The total percentage of areas categorized as high and very high degradation categories increased by 1.54% over the study period. Additionally, the area classified as high degradation expanded from 135.91 to 375.42 hectares between 2000 and 2020. Notably, there was no land classified as very high degradation in 2000, whereas in 2020, it reached 38.15 hectares. The DI has been proven to provide better representational information on how human activity affects ecosystems compared to both the Human Influence Index and the Human Footprint Index which has been used for this purpose. As a valuable tool for urban planning strategies, the DI can provide decision-makers with a more precise depiction of degradation, aiding in the preservation of sustainable urban stream landscapes, particularly in rapidly urbanizing areas.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying rice dry biomass to determine the influence of straw burning on BC and NO2 emissions in the Hanoi metropolitan region","authors":"Van The Pham,&nbsp;Anh Ngoc Thi Do","doi":"10.1007/s10661-024-13493-2","DOIUrl":"10.1007/s10661-024-13493-2","url":null,"abstract":"<div><p>The urban setting notwithstanding, rice cultivation prevails on the outskirts of Hanoi, with the burning of rice straw in the fields posing a significant challenge. Therefore, it is crucial to conduct spatial mapping of rice distribution, assess dry biomass, and determine emissions from rice straw burning within Hanoi city. The efficacy of the deep convolutional neural networks (DCNN) model has been evident in accurately mapping the spatial distribution of rice in Hanoi, where rice cultivation extensively thrives in suburban areas. In the tropical climate of Vietnam, data derived from synthetic aperture radar (SAR) could serve as a valuable resource for mapping rice fields. Additionally, the amalgamated model, Ant Colony Optimization-eXtreme Gradient Boosting (ACO-XGBoost), could serve as a potent instrument in gauging the aboveground biomass (AGB) of rice within this urban center. The current research reveals the spatial distribution of rice biomass in Hanoi city. Among the six levels of the rice biomass distribution map, the majority of regions in Hanoi city were dominated by the fifth tier, ranging between 3.0 and 4.0 kg/m². This emerges as a pivotal source of emissions impacting the atmospheric quality of the city. It should be emphasized that the incidence of rice straw burning remains substantial, exceeding 80% in the monitored districts of Hanoi city, notably higher in proximity to the city center. These findings serve a significant function for management and policy making to generate data and calculate air pollution levels in Hanoi.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determination of noise levels and effects in noise sensitive areas case study: Sakarya province Serdivan district of Turkey","authors":"Rabia Köklü,&nbsp;Asude Ateş,&nbsp;Issa Al-Harthy","doi":"10.1007/s10661-024-13542-w","DOIUrl":"10.1007/s10661-024-13542-w","url":null,"abstract":"<div><p>Noise pollution has become an important type of environmental pollution, especially in populated areas, due to changes in transportation preferences and industry development. The World Health Organization reports that noise, along with air and water pollution, poses one of the most dangerous pollution threats in big cities. In this study, noise pollution measurements were carried in two different regions of a major city, focusing on sensitive points such as hospitals and schools. Surveys were administered to local residents in these areas to assess levels of annoyance due to traffic noise and awareness of noise pollution. The results show that the measured noise levels exceed the 55 dB(A) limit set by the Turkish Ministry of Environment, Urbanization, and Climate Change, as well as WHO noise guideline values. According to the survey findings, it was determined that a majority of respondents in both regions demonstrated awareness of noise pollution. The study further revealed that while 19% of respondents reported high levels of annoyance due to traffic noise, they were more disturbed by industrial machinery and construction activities. Concerning the health effects of noise pollution, a greater number of participants in both regions reported experiencing headaches. Based on these findings, the study identifies sources of noise pollution beyond traffic noise that contribute to discomfort in sensitive areas, highlights the significant health impacts of noise pollution on individuals, and proposes potential solutions.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification and quantification of localized urban heat island intensity and footprint for Chennai Metropolitan Area during 1988–2023","authors":"Mathan Mathivanan,&nbsp;Elanchezhiyan Duraisekaran","doi":"10.1007/s10661-024-13472-7","DOIUrl":"10.1007/s10661-024-13472-7","url":null,"abstract":"<div><p>Rapid urbanization has altered land use and land cover to accommodate the growing population. This shift towards urbanization has resulted in the UHI effect, where the inner urban core is notably warmer than its surroundings. Existing research on UHI has primarily focused on major cities at the regional scale, leaving a gap in addressing the effect of extreme UHI zones within a city. This study bridges the gap by developing a methodology to quantify the impact of LULC change on the localized UHI zones within the urban areas, which will assist policymakers in mitigating urban heat. LULC change matrix analysis and LST retrieval were done from the Landsat 5 and 8 images acquired between 1988 and 2023. Representative study sites that intersected with the LULC conversion from water bodies and vegetation to other LULC and which showed maximum UHI were selected. Mean LST was calculated for the proximity of 1000 m around the selected areas. The developed methodology was applied to the Chennai Metropolitan Area in Tamil Nadu, India. The conversion of Pallikaranai marshland to the Perungudi dumping ground (PDG), and the green cover to the Kodungaiyur dumping ground (KDG) has led to an average increase in UHI intensity of 0.21 °C/year and 0.15 °C/year, respectively. The UHI effect is felt at the distance of 450 m from PDG and 550 m from KDG, which have shown that the life within the proximity are expected to experience the UHI effect. Therefore, it is imperative to alleviate the rising UHI around the selected areas. This developed methodology can be applied globally to select the targeted UHI zones for sustainable urban planning to mitigate urban heat.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of atmospheric volatile organic compounds at two crude oil production plants in Southeastern Türkiye","authors":"Talha Kemal Koçak,&nbsp;Aysel Çağlan Günal","doi":"10.1007/s10661-024-13494-1","DOIUrl":"10.1007/s10661-024-13494-1","url":null,"abstract":"<div><p>Ambient Volatile Organic Compounds (VOCs) were investigated to determine their characteristics, Ozone Formation Potentials (OFPs), and health risks in two crude oil production plants (Nusaybin and Egil plants) in southeastern Türkiye. Benzene, toluene, ethylbenzene, m + p xylene, o xylene, and 1,3,5-trimethylbenzene were measured at eight passive sampling points in each plant. Samples were analyzed using gas chromatography coupled with a flame ionization detector and a thermal desorption. The concentration of <span>({sum }_{6}text{VOC})</span> ranged from 5.03 to 88.43 μg/m³ in the Nusaybin Plant and from 7.70 to 154.35 μg/m³ in the Egil Plant. Toluene and xylenes were predominant in both plants. In the Nusaybin Plant, VOCs were mainly associated with crude oil production, while in the Egil Plant, they were associated with a combination of crude oil production and mobile vehicle activities. The OFP of <span>({sum }_{6}text{VOC})</span> was 297.47 μg/m³ in the Nusaybin Plant, and 249.25 μg/m³ in the Egil Plant. M + p xylene, toluene, and 1,3,5-trimethylbenzene together contributed 86% and 84% of the total OFP in the Nusaybin and Egil plants, respectively. Benzene exposure posed a possible cancer risk to oil workers in both plants. Non-cancer health risk was at a potential level in the Egil Plant but negligible in the Nusaybin Plant. This study is expected to enhance knowledge regarding the effects of crude oil production plants on air quality and workplace exposure.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}