Environmental Monitoring and Assessment最新文献

{"title":"Identifying acid lakes and associated rock exposure in glacial retreat zones in the Peruvian Andes using Landsat 8 imagery","authors":"Jorge L. Garcia,&nbsp;Yizet E. Huaman-Navarro,&nbsp;Bram L. Willems,&nbsp;Raúl Loayza-Muro,&nbsp;Patricia Moreira-Turcq,&nbsp;Jemma L. Wadham,&nbsp;Moya L. Macdonald,&nbsp;Angel Bustamante","doi":"10.1007/s10661-025-14006-5","DOIUrl":"10.1007/s10661-025-14006-5","url":null,"abstract":"<div><p>This study offers a novel satellite-based methodology for identifying and monitoring acidic lakes in the Cordillera Blanca, Peru, focusing on the environmental impact of acid rock drainage (ARD) due to glacier retreat. We utilized Landsat 8 imagery and field-collected pH data from 28 glacial lakes, provided by the Glaciology and Water Resources Unit of the Peruvian National Water Authority (ANA, Peru). Integrating this with geological mapping of the sulfide-rich Chicama Formation (Js-Chic), we identified a correlation between exposed Js-Chic areas and lake acidity. Our approach involves the Spectral Angle Mapper (SAM) method to map exposed Js-Chic areas and an empirical spectral equation to infer lake pH. We found a distinct pattern in highly acidic lakes (pH &lt; 4), with a greater Js-Chic exposure (&gt; 60 hectares) correlating with higher acidity. These lakes, predominantly in the southern Cordillera Blanca, also showed distinct spectral signatures in the first three Landsat 8 bands, forming the basis of our pH estimation method. Further, we observed that lakes with higher acidity are associated with greater glacial retreat and higher vegetation quality in their basins, as indicated by the Normalized Difference Vegetation Index (NDVI). Our findings highlight the potential of remote sensing for ARD monitoring in mountainous regions and suggest a link between glacial retreat, Js-Chic exposure, and lake acidification, which could have significant implications for water security.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809270","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":"Variability analysis of soil organic carbon content across land use types and its digital mapping using machine learning and deep learning algorithms","authors":"Mounir Oukhattar,&nbsp;Sébastien Gadal,&nbsp;Yannick Robert,&nbsp;Nicolas Saby,&nbsp;Ismaguil Hanadé Houmma,&nbsp;Catherine Keller","doi":"10.1007/s10661-025-13972-0","DOIUrl":"10.1007/s10661-025-13972-0","url":null,"abstract":"<div><p>Soil organic carbon (SOC) plays a crucial role in carbon cycle management and soil fertility. Understanding the spatial variations in SOC content is vital for supporting sustainable soil resource management. In this study, we analyzed the variability in SOC content across eleven different types of land use in the mining basin of Provence in southeastern France. We modelled this variability spatially using machine and deep learning regression. Four algorithms were tested: random forest (RF), support vector machine (SVM), extreme gradient boosting (XGBoost), and deep neural networks (DNNs). These integrated 162 soil samples and 21 environmental covariates, including climatic parameters, lithology, topographical features, land cover, remote sensing data, and soil physicochemical parameters. The results clearly show a large variability in SOC content across land use types, with forests revealing the highest values (mean of 69.3 g/kg) and arable land the lowest (mean of 8.9 g/kg). The Pearson correlation coefficients (<i>R</i>) indicate that land cover, topography, lithology, environmental indices, and clay content are the main factors influencing the SOC content. The XGBoost model generated the best result (<i>R</i>² = 0.73), closely followed by RF (<i>R</i>² = 0.68) and DNN (<i>R</i>² = 0.60), while SVM showed the weakest performance (<i>R</i>² = 0.36). XGBoost and RF remain the best options for obtaining reliable results with a limited number of soil samples and reduced calculation time. The results of this study provide vital insights for managing soil organic carbon in southeastern France and for climate change mitigation in sustainable land management.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818312","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":"Impact of post-anthropogenic forest fire on soil carbon dynamics and physicochemical properties in tropical dry deciduous Sulia Reserve Forest, Odisha","authors":"Sudipta Nayak,&nbsp;Manish Kumar,&nbsp;Nabin Kumar Dhal","doi":"10.1007/s10661-025-13996-6","DOIUrl":"10.1007/s10661-025-13996-6","url":null,"abstract":"<div><p>Anthropogenic forest fire is an emerging cause for forest degradation, which primarily alters soil physicochemical characteristics and carbon content. For assessing these effects, the current study compares soils of unburned (as CON), managed (as MAN) planted locations (<i>Shorea robusta</i>, <i>Tectona grandis</i>), and burned (as BUR) locations of Sulia Reserve Forest of Nayagarh, Odisha. Soils were collected from below surface litter (BSL) (0 to 5 cm), top soil (TS) (5 to 15 cm), and sub-soil (SS) (15 to 30 cm) randomly from selected patches. Samples were analysed for colour, texture, pH, bulk density (BD), water holding capacity (WHC), electrical conductivity (EC), potassium (K⁺), and nitrogen (N). Also, X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), and Fourier transform infrared spectroscopy (FTIR) were utilised to study the soil mineralogical and surface properties. In comparison to unaffected locations (CON and MAN), the BUR soil showed increased levels of EC, OC (oxidisable carbon), TOC (total organic carbon), SOM (soil organic matter), K⁺, and available nitrogen (AN). However, suppression in total nitrogen (TN) was observed for BUR locations in BSL samples. In BUR, the range of EC (0.12–0.29 S/m), OC (1.8–2.8%), TOC (2.5–3%), and SOM (4–6%) demonstrated variability in soil physicochemical properties. The BUR soils reflect significant changes in feldspar, haematite, and kaolinite. The results also highlight the C alteration and enhancement of nutrients (K⁺ and N) availability in BUR soil. The assessment demonstrates complex behaviours of soil properties due to forest fire within a dry deciduous forest and emphasises a location specific management plan to conserve the natural resource.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818266","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":"Chemical oxygen demand (COD) reduction in wastewater from the textile industry by coagulation-flocculation and adsorption","authors":"Soufiane Youcef,&nbsp;Meriem Chebbi,&nbsp;Leila Youcef,&nbsp;Mohamed Ghrissi Bouaziz,&nbsp;Amina Soudani,&nbsp;Amane Sahli,&nbsp;Chaima Deroues","doi":"10.1007/s10661-025-13987-7","DOIUrl":"10.1007/s10661-025-13987-7","url":null,"abstract":"<div><p>The aim of this work was to test the effectiveness of coagulation-flocculation using ferric chloride (FeCl₃) and adsorption on a biochar (OSB) prepared in the laboratory and their combination on textile industry wastewater treatment. By coagulation-flocculation, increasing the dose of FeCl₃ significantly improved the reduction of chemical oxygen demand (COD) levels as well as turbidity in the wastewater. The COD value (1520 mg O₂/L) decreased as the coagulant dose increased, reaching a value of 240 mg/L corresponding to an optimum FeCl₃ dose of around 2500 mg/L. When adsorption was applied to the biochar after 4 h of agitation, the COD reduction efficiency was 83.65%. Application of the kinetic models confirmed that chemisorption of the pollutants presented by the COD on the surface of OSB was predominant. COD reduction efficiency improved significantly with increasing adsorbent dose and wastewater initial pH variations. Combining the two processes, starting with coagulation-flocculation followed by adsorption on OSB, was a cost-effective technique. This satisfactory result was based on the fact that this combination enables a lower dose of coagulant (2500 to 100 mg/L) and adsorbent (4 to 2 g/L) to be used than that required when treating by each process alone.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818313","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":"Evaluating geostatisical approaches and their integration with pedotransfer functions for estimating the spatial distribution of cation exchange capacity","authors":"Farag M. A. Altalbawy,&nbsp;Merwa Alhadrawi,&nbsp;Ashok Kumar Bishoyi,&nbsp;Subbulakshmi Ganesan,&nbsp;Aman Shankhyan,&nbsp;S. Sunitha,&nbsp;Anita Devi,&nbsp;Rajashree Panigrahi,&nbsp;Rubyat Alam","doi":"10.1007/s10661-025-13992-w","DOIUrl":"10.1007/s10661-025-13992-w","url":null,"abstract":"<div><p>Cation exchange capacity (CEC) is a fundamental soil property that governs nutrient retention and availability, directly impacting plant growth and environmental risk assessments related to heavy metals and organic pollutants. Accurately mapping the spatial distribution of CEC is essential for sustainable soil management. This study aimed to identify the most effective interpolation technique for predicting soil CEC distribution in Hunan Province, China, using optimized data. A total of 467 soil samples were collected from a 0–30 cm depth, and soil texture, organic carbon content, and CEC were analyzed. Four spatial interpolation methods—Kriging, Co-Kriging, Fuzzy Kriging, and Regression Kriging—were compared. Results indicated that Regression Kriging outperformed other methods, achieving a coefficient of determination (R²) of 0.66, a root mean square error (RMSE) of 3.92 cmol +. kg⁻¹, and a mean square error (MSE) of 15.39 cmol +.kg⁻¹. Furthermore, integrating the Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithm for data optimization significantly enhanced prediction accuracy. When Regression Kriging was applied to the ANFIS-optimized dataset, model performance improved substantially, with R² increasing to 0.88, RMSE decreasing to 2.87 cmol +. kg⁻¹, and MSE reducing to 8.28 cmol +.kg⁻¹. These findings underscore the importance of coupling ANFIS-based data selection with advanced spatial interpolation techniques to achieve more precise and reliable predictions of soil CEC distribution, contributing to improved land management and environmental sustainability.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809246","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 the physicochemical characteristics of by-products of cassava processing and their effects on biodiversity","authors":"S. A. Olaniyan,&nbsp;J. B. Hussein,&nbsp;M. O. Oke,&nbsp;B. A. Akinwande,&nbsp;T. S. Workneh,&nbsp;M. Ayodele,&nbsp;I. A. Adeyemi","doi":"10.1007/s10661-025-13951-5","DOIUrl":"10.1007/s10661-025-13951-5","url":null,"abstract":"<div><p>Cassava offers by-products of processing such as peels and effluents, which seldom are disposed of without proper treatments. These by-products are rich in organic matter and cyanogenic compounds, which can be potentially hazardous to the environment. For sustainable waste management and ecological balance, a systematic investigation was carried out to analyse the physicochemical properties of cassava peels and effluents and their effects on biodiversity. Standard methods were utilised to analyse these parameters. The results for the effluents ranged from 3.41–3.81 for pH, 2467.10–3630.97 mg/L for biochemical oxygen demand (BOD₅), 2715.10–3329.90 mg/L for total solids (TS), 1888.20–2235.00 mg/L for total suspended solids (TSS), 869.00–1244.40 mg/L for total dissolved solids (TDS), 3.64–4.85 ppm for cyanide (HCN), and 0.11–0.21 mg/L for total nitrogen (total N). The chemical composition of the cassava peels showed ranges of 85.64–89.81% for dry matter, 12.00–19.50% for crude protein, 3.70–6.00% for crude fat, 2.67–4.59% for ash, 13.00–15.70% for crude fibre, 4.15–7.89% for sugar, 26.36–44.34% for starch, 11.17–12.87% for amylose, and 0.80–14.90 ppm for cyanide content. The analysis revealed that some of the characteristics of the cassava peels and effluents exceeded the standards set by the Federal Environmental Protection Agency of Nigeria (FEPA) and the World Health Organisation (WHO) for drinking water and aquatic life. This study suggests that waste from these processing centres has contributed to environmental pollution in the surrounding communities. Therefore, effective waste management practices are recommended to prevent further environmental degradation.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-13951-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809245","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":"Responses of aggregate-associated carbon and their fractions to different positions in a karst valley of Southwest China","authors":"Lei Ma,&nbsp;Manyi Li,&nbsp;Cheng Li,&nbsp;Zheng Mao,&nbsp;Chen Wang,&nbsp;Mingze Xu,&nbsp;Dongxue Zhu,&nbsp;Hongtao Si,&nbsp;Shiwei Liu,&nbsp;Pujia Yu","doi":"10.1007/s10661-025-13995-7","DOIUrl":"10.1007/s10661-025-13995-7","url":null,"abstract":"<div><p>Changes in aggregate-associated carbon and their fractions are vital for soil organic carbon (SOC) sequestration. However, changes in SOC contents and their fractions in different soil aggregates under different landform positions in karst regions remain unclear. Soil samples were collected from the valley bottom (VAFL), dip slope (DIPS), and anti-dip slope (ANTD) in a karst valley of Southwest China. These soil samples were then divided into three aggregates including macroaggregate (&gt; 0.25 mm), microaggregate (0.053–0.25 mm), and silt and clay (&lt; 0.053 mm) using wet sieving methods. Contents of total SOC and their three oxidized carbon fractions (F1: easily oxidized carbon fraction, F2: oxidized carbon fraction, and F3: stable carbon fraction) were measured. Compared with ANTD, total SOC contents, microaggregate-associated carbon contents, and SOC contents in silt and clay fraction decreased by 37.90%, 38.41%, and 40.07%, respectively, under VAFL, and by 12.95%, 11.65%, and 15.60%, respectively, under DIPS. Contents of F1 and F2 fraction under VAFL were significantly lower than those under ANTD and DIPS in bulk soil, microaggregate, and silt and clay. The mean percentages of F2 in total SOC in bulk soil, macroaggregate, microaggregate, and silt and clay were 43.66%, 43.81%, 45.67%, and 41.70%, respectively, while the percentages of F1 were 25.08%, 25.04%, 25.68%, and 24.86%, respectively. Compared with DIPS, SOC stability under ANTD and VAFL increased by 6.59% and 8.44%, respectively. These findings emphasized the influence of landform positions on the carbon contents in different soil aggregates, and deepened the understanding of SOC accumulation mechanisms in Southwest China.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801206","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":"Spatial differentiation of metallic micronutrients in soil–plant systems along an altitudinal gradient in the Fanjing Mountain, Southwestern plateau of China","authors":"Xiuyuan Yang,&nbsp;Guiting Mu,&nbsp;Yingying Liu,&nbsp;Xianliang Wu,&nbsp;Wenmin Luo,&nbsp;Anding Li,&nbsp;Wenxing Nie","doi":"10.1007/s10661-025-13977-9","DOIUrl":"10.1007/s10661-025-13977-9","url":null,"abstract":"<div><p>Metallic micronutrients (Cu, Fe, etc.) play a crucial role in plant growth, but limited research has explored the distribution patterns and determinants of these elements within the soil–plant system along elevation gradients in highland alpine forest ecosystems. In this study, we focused on Fanjing Mountain, a highland forest ecosystem in Southwest China, to examine the distribution and partitioning of metal micronutrients (Cu, Fe, Zn, Mo, Ni) within the soil–plant system along an altitudinal gradient, and to identify factors influencing micronutrient dynamics in plants across varying elevations. The results showed that the average contents of Cu, Fe, Zn, Mo, and Ni in soil (plant) were 24.64 (11.96), 28784.38 (1185.17), 659.57 (60.23), 0.97 (0.77), and 25.42 (5.41) mg/kg, respectively. Micronutrient elements exhibited varied trends along the altitudinal gradient; notably, Zn content in both soil and plants increased with elevation. The enrichment capacity of plant branches and leaves for metal micronutrients also shifted with altitude, with Cu and Mo showing significantly higher enrichment levels compared to other elements. Metal micronutrient content of plants was influenced by environmental factors such as soil properties and location, where the effect of soil environmental factors on plant micronutrient content decreases with increasing altitude. These findings enhance our understanding of the biogeochemical cycling of metal micronutrients in highland alpine forest ecosystems and provide valuable insights for improving forest soil quality and vegetation conservation.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801205","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 water quality of River Mahananda, Malda, India using Cirrhinus reba as a bioindicator: Oxidative stress biomarkers and histopathological fingerprints","authors":"Mayukh Hore,&nbsp;Shubham Bhattacharyya,&nbsp;Debashis Chatterjee,&nbsp;Subhrajit Saha,&nbsp;Jayanta Kumar Biswas,&nbsp;Subhrajyoti Roy","doi":"10.1007/s10661-025-13969-9","DOIUrl":"10.1007/s10661-025-13969-9","url":null,"abstract":"<div><p>Environmental pollution has been seen to cause a catastrophic effect on the River Mahananda, Malda, West Bengal, due to the discharge of untreated urban wastes and wastewater into the riverine system resulting in the decline of several local fish species owing to deteriorating water quality. Hence, the objective of this work was to assess the alteration of different physicochemical parameters of water in the River Mahananda owing to pollution during various seasons, and to examine their toxicological effects on the intracellular antioxidant system and histological parameters in <i>Cirrhinus reba</i>. The WPIs of the polluted sampling sites declined significantly from fall to summer. The season-based principal component analysis indicated that TDS, dissolved oxygen, total hardness, total alkalinity, free chlorine, chloride, copper, and zinc were the most common descriptors for the physicochemical alterations of the River Mahananda, reflecting its prominent pollution portfolio. SOD, CAT, GPx, GR, and GSH were found significantly (<i>p</i> &lt; 0.05, <i>p</i> &lt; 0.01, and <i>p</i> &lt; 0.001) decreased in liver of <i>C. reba</i> collected from polluted sites compared to the control. The acetylcholinesterase activity was noted to increase significantly (<i>p</i> &lt; 0.05 and <i>p</i> &lt; 0.01) in an order of S2 &gt; S3 &gt; S4 &gt; S1. A several-fold increase in TBARS level was observed in <i>C. reba</i> collected from polluted sites during summer, compared to the control. Major histopathological changes were observed in summer and spring in liver, kidney and gill tissues of <i>C. reba</i>. In conclusion, while certain principal components were significant predictors for various biochemical parameters, the overall model showed varying degrees of predictive power, highlighting the need for further research with larger sample size and potentially more comprehensive modelling strategies.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809227","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":"Associations between air pollutants and emergency ambulance dispatches for all-cause and nervous system disease in China Qingdao: a time-stratified case-crossover study","authors":"Yang Yu,&nbsp;Bingling Wang,&nbsp;Lu Pan,&nbsp;Nan Ge,&nbsp;Xiaocheng Gu,&nbsp;Yuan Fang,&nbsp;Hua Zhang,&nbsp;Jianjun Zhang,&nbsp;Yan Ma,&nbsp;Haiping Duan","doi":"10.1007/s10661-025-13955-1","DOIUrl":"10.1007/s10661-025-13955-1","url":null,"abstract":"<div><p>The health hazards of air pollution have been recognized worldwide, and emergency ambulance dispatches (EADs) data have excellent research value in the field of environmental health and wellness. This study evaluated EADs data from January 1, 2016 to December 31, 2019, in Qingdao to assess the impact of air pollution on all-cause as well as nervous system emergency ambulance dispatches (NS-EADs). This study adopted a time-stratified case-crossover design to construct a time-series distribution-lagged single-pollutant model to assess the effects of air pollution on all-cause and NS-EADs, stratified by gender, age, and season. Confounding factors that could affect the results were controlled for in the model. Air pollutants were positively associated with all-cause and NS-EADs. The findings of the single-day lag effect demonstrated positive associations between PM_2.5 (lag0 and lag1 days), CO (lag0 and lag1 days), PM₁₀ (lag0 and lag1 days), SO₂ (lag1 days), and NO₂ (lag1 days) with an increased risk of all-cause EADs. Additionally, O₃ (lag0 days), CO (lag0 days), PM₁₀ (lag0 days), and NO₂ (lag0 days) exhibited positive correlations with an elevated risk of NS-EADs. To be specific, with every 10 μg/m³ increase in the concentrations of O₃, CO, PM₁₀, and NO₂ at lag 0, there was a corresponding increase in NS-EADs risk of 0.67% (95% confidence interval, 0.05%, 1.30%); 0.05% (0.01%, 0.10%); 0.50% (0.13%, 0.87%); and 1.52% (0.24%, 2.82%), respectively. Stratified analysis revealed a higher risk of NS-EADs associated with air pollution, specifically observed in subgroups including individuals under 65 years old, males, and during the cold season. Air pollution was associated with all-cause EADs and NS-EADs, and males, people under 65 years old were more vulnerable to air pollution. Furthermore, the impact of air pollution is more pronounced during the cold season.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801182","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}