Environmental Monitoring and Assessment最新文献_第9页

Simplifying complexity: the novel degradation index for urban stream landscapes—case of Tekirdag

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2024-12-21 DOI: 10.1007/s10661-024-13590-2

Emre Ozsahin, Mehmet Ozdes

{"title":"Simplifying complexity: the novel degradation index for urban stream landscapes—case of Tekirdag","authors":"Emre Ozsahin, 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}

引用次数: 0

Quantifying rice dry biomass to determine the influence of straw burning on BC and NO2 emissions in the Hanoi metropolitan region 量化水稻干生物量以确定秸秆焚烧对河内市区 BC 和 NO2 排放的影响

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2024-12-21 DOI: 10.1007/s10661-024-13493-2

Van The Pham, Anh Ngoc Thi Do

{"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, 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/m<sup>2</sup>. 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}

引用次数: 0

Determination of noise levels and effects in noise sensitive areas case study: Sakarya province Serdivan district of Turkey

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2024-12-21 DOI: 10.1007/s10661-024-13542-w

Rabia Köklü, Asude Ateş, Issa Al-Harthy

{"title":"Determination of noise levels and effects in noise sensitive areas case study: Sakarya province Serdivan district of Turkey","authors":"Rabia Köklü, Asude Ateş, 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}

引用次数: 0

A long-term analysis, modeling and drivers of forest recovery in Central Mexico 墨西哥中部森林恢复的长期分析、建模和驱动因素

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2024-12-21 DOI: 10.1007/s10661-024-13584-0

José López-García, Gustavo Manuel Cruz-Bello, Lilia de Lourdes Manzo-Delgado

{"title":"A long-term analysis, modeling and drivers of forest recovery in Central Mexico","authors":"José López-García, Gustavo Manuel Cruz-Bello, Lilia de Lourdes Manzo-Delgado","doi":"10.1007/s10661-024-13584-0","DOIUrl":"10.1007/s10661-024-13584-0","url":null,"abstract":"<div><p>This study aims to evaluate the changes in forest cover from 1994 to 2015, identify the key drivers of forest recovery, and predict future trends. Using high-resolution remote sensing data, we mapped forest canopy density into detailed categories (closed > 50%, open 10–50%, and deforested < 10%) to differentiate processes like degradation, deforestation, densification, reforestation, and afforestation. A multinomial logistic regression was used to explore the relationship between the forest processes and socioeconomic, proximity, planning, and policy potential drivers. Future trends were modeled using the Land Change Modeler. The analysis showed that 81.5% of the area remained unchanged, 14% experienced recovery, and 4.5% faced disturbances. Factors such as elevation, proximity to roads, and participation in payment for environmental services (PES) programs significantly influenced recovery trends. Predictive modeling for 2035 suggests forest cover will increase by 7%, reaching 77% coverage of the study area, and closed forest areas will rise by 12% compared to 1994. The findings underscore the effectiveness of conservation efforts and natural regeneration in enhancing forest cover, offering valuable insights for global forest management and policy-making efforts.</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/s10661-024-13584-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859669","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}

引用次数: 0

Identification and quantification of localized urban heat island intensity and footprint for Chennai Metropolitan Area during 1988–2023

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2024-12-21 DOI: 10.1007/s10661-024-13472-7

Mathan Mathivanan, Elanchezhiyan Duraisekaran

{"title":"Identification and quantification of localized urban heat island intensity and footprint for Chennai Metropolitan Area during 1988–2023","authors":"Mathan Mathivanan, 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}

引用次数: 0

Assessment of atmospheric volatile organic compounds at two crude oil production plants in Southeastern Türkiye

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2024-12-21 DOI: 10.1007/s10661-024-13494-1

Talha Kemal Koçak, Aysel Çağlan Günal

{"title":"Assessment of atmospheric volatile organic compounds at two crude oil production plants in Southeastern Türkiye","authors":"Talha Kemal Koçak, 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/m<sup>3</sup> in the Nusaybin Plant and from 7.70 to 154.35 μg/m<sup>3</sup> 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/m<sup>3</sup> in the Nusaybin Plant, and 249.25 μg/m<sup>3</sup> 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}

引用次数: 0

Unlocking the adsorptive effectiveness of naturally occurring heulandite zeolite for the removal of PO43− and NO3− anions from wastewater

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2024-12-20 DOI: 10.1007/s10661-024-13522-0

Fred Sifuna Wanyonyi, Francis Orata, Ponnadurai Ramasami, Emily Ngeno, Victor Shikuku, Robert O. Gembo, Gershom Kyalo Mutua, Anthony Pembere

{"title":"Unlocking the adsorptive effectiveness of naturally occurring heulandite zeolite for the removal of PO43− and NO3− anions from wastewater","authors":"Fred Sifuna Wanyonyi, Francis Orata, Ponnadurai Ramasami, Emily Ngeno, Victor Shikuku, Robert O. Gembo, Gershom Kyalo Mutua, Anthony Pembere","doi":"10.1007/s10661-024-13522-0","DOIUrl":"10.1007/s10661-024-13522-0","url":null,"abstract":"<div><p>The mitigation of high levels of phosphate (PO<sub>4</sub><sup>3−</sup>) and nitrate (NO<sub>3</sub><sup>−</sup>) ions in water bodies, particularly in agricultural wastewater, holds paramount importance in curbing eutrophication within aquatic ecosystems. Herein, using experimental and computational techniques, the study explored the potential of naturally occurring South Africa heulandite (HEU) zeolite for the removal of PO<sub>4</sub><sup>3−</sup> and NO<sub>3</sub><sup>−</sup> ions from synthetic wastewater in batch mode. The percentage removal of PO<sub>4</sub><sup>3−</sup> and NO<sub>3</sub><sup>−</sup> was 59.15% and 51.39%, respectively, whereas the corresponding maximum adsorption capacity of the adsorbent was 0.0236 and 0.0206 mg/g. The adsorption kinetics of both anions by HEU fitted well in the pseudo-first-order (PFO) kinetic model indicating a physisorption-mediated rate-determining step. It was revealed that the adsorption process was multi-mechanistic spontaneous and exothermic. Molecular simulations using Monte Carlo (MC) and density functional theory (DFT) methods also provided insights into the adsorption mechanisms.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859595","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}

引用次数: 0

Monitoring data compilations can be leveraged to highlight relationships between estuarine and watershed factors influencing eutrophication in estuaries

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2024-12-20 DOI: 10.1007/s10661-024-13564-4

Marguerite C. Pelletier, James S. Latimer, Brenda Rashleigh, Christine Tilburg, Michael A. Charpentier

{"title":"Monitoring data compilations can be leveraged to highlight relationships between estuarine and watershed factors influencing eutrophication in estuaries","authors":"Marguerite C. Pelletier, James S. Latimer, Brenda Rashleigh, Christine Tilburg, Michael A. Charpentier","doi":"10.1007/s10661-024-13564-4","DOIUrl":"10.1007/s10661-024-13564-4","url":null,"abstract":"<div><p>Estuaries have been adversely impacted by increased nutrient loads. Eutrophication impacts from these loads include excess algal blooms and low oxygen conditions. In this study, we leveraged data from 28 monitoring programs in the northeastern US to explore the relationships between eutrophication response variables and watershed and estuarine variables. Extensive effort was needed to locate, harmonize, and assure the quality of the data. Random forest regression allowed us to identify the most important variables that could predict summer total nitrogen (TN), chlorophyll (chl), and bottom dissolved oxygen (DO). Several different summaries of the data were assessed. The best models for TN and chl used data summarized by estuary and year, explaining > 70% and > 60% of the variation, respectively. The best model for DO used data that were averaged by estuary across all years and explained > 55% of the variation. All models showed the importance of variables related to nutrient loading, such as population density and % development, and variables related to flushing rate, such as tidal range, length:width at mouth, and estuary openness. Future work will examine the impacts of climate on eutrophication response variables. This study demonstrates the utility of combining data from multiple unrelated routine monitoring programs to understand eutrophication impacts at regional scales.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-024-13564-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859636","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}

引用次数: 0

Investigating land cover changes and their impact on land surface temperature in Tay Ninh province, Vietnam

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2024-12-20 DOI: 10.1007/s10661-024-13519-9

Bui Bao Thien, Vu Thi Phuong, Do Thi Viet Huong

{"title":"Investigating land cover changes and their impact on land surface temperature in Tay Ninh province, Vietnam","authors":"Bui Bao Thien, Vu Thi Phuong, Do Thi Viet Huong","doi":"10.1007/s10661-024-13519-9","DOIUrl":"10.1007/s10661-024-13519-9","url":null,"abstract":"<div><p>Land surface temperature (LST) serves as a crucial indicator for evaluating the effects of different environmental factors on the ecosystem, including alterations in land use, climate variations, and emissions of greenhouse gases. This comprehensive study used remote sensing data to analyze changes and effects of land use/land cover (LULC) on LST in Tay Ninh province, Vietnam, from 1988–2023. Landsat satellite images in 1988, 2004, and 2023 were preprocessed and supervised classification on ArcGIS 10.8 software. The Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), and LST in the study area were determined using the Landsat image data. The classification results showed a decrease in the area of agricultural land, barren land, and forest classes by 8.30%, 8.82%, and 15.93%, respectively, from 1988 to 2023. Conversely, the area of built-up and waterbodies classes indicated an increase of 33.00% and 0.06%, respectively, during the same period. In terms of LST, the study area exhibited temperature ranges of approximately 19.75 °C—35.28 °C, 26.26 °C—46.33 °C, and 21.05 °C—40.60 °C in 1988, 2004, and 2023, respectively. Contribution Index (CI) and multiple regression analysis evaluated the relationship between land cover, LST, NDVI, and NDBI. The regression analysis preliminary showed a negative correlation between NDVI and LST, while a positive correlation was observed between NDBI and LST. The CI of built-up areas has increased from 0.01 in 1988 to 0.77 in 2023, which shows that this coating has contributed to rising temperatures in the study area. Meanwhile, the forest and water body classes have consistently negative CI throughout the period 1988–2023, which has contributed to the decrease in temperature. This comprehensive study provides policymakers with valuable information regarding LULC and LST, instilling confidence in developing effective policies for land resource management.\u0000</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859597","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}

引用次数: 0

Assessing the impact of railway noise on human health and daily life: a structural equation model approach for transportation and environmental planning

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2024-12-20 DOI: 10.1007/s10661-024-13571-5

Boddu Sudhir Kumar, B. Raghuram Kadali, Venkaiah Chowdary

{"title":"Assessing the impact of railway noise on human health and daily life: a structural equation model approach for transportation and environmental planning","authors":"Boddu Sudhir Kumar, B. Raghuram Kadali, Venkaiah Chowdary","doi":"10.1007/s10661-024-13571-5","DOIUrl":"10.1007/s10661-024-13571-5","url":null,"abstract":"<div><p>Rapid urbanization has led to unplanned settlements near railway lines, exposing residents to continuous noise pollution with potential adverse effects on health. This study focuses on the environmental monitoring and assessment of railway noise pollution in urban areas and its impact on human health and daily activities. Noise levels were quantified across different residential zones using precise sound level meters, and a detailed human perception survey was conducted to assess the relationship between noise exposure, annoyance, and health disturbances. By employing structural equation modelling (SEM), the study integrates environmental monitoring data with epidemiological and health data to assess the risk of noise pollution to individuals residing near railway lines. The results indicate that railway noise frequently exceeds regulatory limits, with passenger trains contributing more significantly to pollution than freight trains. The findings also reveal that noise exposure is a significant predictor of annoyance and health effects, with proximity to the railway line being a critical factor. The study emphasizes the need for improved noise monitoring systems and risk assessment strategies in transportation planning to mitigate health risks. These insights contribute to the development of sustainable noise management practices and the design of more efficient monitoring systems, enhancing the understanding of pollution risks at both individual and population levels.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859596","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}

引用次数: 0