Environmental Geochemistry and Health最新文献

Amazon's climate crossroads: analyzing air pollution and health impacts under machine learning-based temperature increase scenarios in Northern Mato Grosso, Brazil. 亚马逊的气候十字路口：在巴西马托格罗索州北部基于机器学习的温度升高情景下分析空气污染和健康影响。

IF 3.2 3区环境科学与生态学

Environmental Geochemistry and Health Pub Date : 2025-05-14 DOI: 10.1007/s10653-025-02524-7

Fernando Rafael de Moura, Romina Buffarini, Edison Luis Devos Barlem, Willian Cézar Nadaleti, Helotonio Carvalho, Flávio Manoel Rodrigues da Silva Júnior

{"title":"Amazon's climate crossroads: analyzing air pollution and health impacts under machine learning-based temperature increase scenarios in Northern Mato Grosso, Brazil.","authors":"Fernando Rafael de Moura, Romina Buffarini, Edison Luis Devos Barlem, Willian Cézar Nadaleti, Helotonio Carvalho, Flávio Manoel Rodrigues da Silva Júnior","doi":"10.1007/s10653-025-02524-7","DOIUrl":"https://doi.org/10.1007/s10653-025-02524-7","url":null,"abstract":"Air pollution has long been a public health concern in South America, now increasingly linked to climate change. In Brazil, this issue is particularly acute in smaller cities with limited monitoring infrastructure. Sinop, located in the Amazon biome of Mato Grosso, exemplifies the intersection of agricultural expansion and environmental vulnerability. This study presents a comprehensive assessment of meteorological conditions, air pollutant levels, and related health impacts in Sinop, focusing on PM2.5, PM10, and ground-level ozone (O3). Using 2022 data, we applied Health Impact Assessment (HIA) via the WHO's AirQ + tool and simulated temperature rise scenarios through a machine learning model. ur findings indicate that O3 levels are highly sensitive to meteorological variation, while PM2.5 and PM10 concentrations are projected to increase by up to 50% and 70%, respectively, under extreme warming scenarios. These changes correspond to an estimated increase in non-external mortality of over 90% for PM2.5 and more than 1000% for PM10. Seasonal simulations revealed that the dry season, marked by intense biomass burning, significantly exacerbates pollutant concentrations. These results underscore the growing burden of air pollution on public health in rapidly urbanizing regions. They also highlight the urgent need for enhanced air quality monitoring and climate-adaptive public health strategies in vulnerable areas such as the southern Amazon.","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 6","pages":"206"},"PeriodicalIF":3.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143985918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 blood metals and dietary health risks in older adults from an Eastern Chinese community based on Monte Carlo simulation. 基于蒙特卡罗模拟的华东地区老年人血液金属与饮食健康风险评估

IF 3.2 3区环境科学与生态学

Environmental Geochemistry and Health Pub Date : 2025-05-13 DOI: 10.1007/s10653-025-02511-y

Jianing Shi, Xuan Wu, Mengling Tang, Kun Chen, Qingli Zhou

{"title":"Assessment of blood metals and dietary health risks in older adults from an Eastern Chinese community based on Monte Carlo simulation.","authors":"Jianing Shi, Xuan Wu, Mengling Tang, Kun Chen, Qingli Zhou","doi":"10.1007/s10653-025-02511-y","DOIUrl":"https://doi.org/10.1007/s10653-025-02511-y","url":null,"abstract":"Assessing blood metal levels in older adults is crucial for monitoring nutritional, occupational, and environmental exposures, as environmental metals may potentially affect the health of older people through dietary intake. In this study, we collected blood samples from 2493 older participants in Yiwu, China. 11 metal elements in whole blood were measured using ICP-MS. Monte Carlo simulation was applied to estimate population-level blood metal distributions and use for risk quantification. Dietary metal intake was assessed through food frequency questionnaires. Then it was employed to evaluate health risks from dietary metal exposure. Results of Monte Carlo simulation showed that the medians of Cu, As, Cd, Mn and Cr were 752.69 (682.84, 824.36), 1.94 (1.36, 2.80), 1.40 (0.85, 2.32), 12.78 (10.56, 15.48), 0.44 (0.28, 0.70) µg/L and Fe, and Zn were 332.59 (276.73, 385.13), 4.95 (4.45, 5.48) mg/L. Concentrations of Se, Fe, Zn, As, Cd, Hg, and Pb were significantly higher in men than in women, while Cu and Mn levels were lower in men. Hazard quotients (HQ > 1) for Zn (HQ = 1.108, IQR = 0.857-1.215) indicated unacceptable non-carcinogenic risks, while incremental lifetime cancer risks (ILCR > 1 × 10⁻4) for Cr (ILCR = 1.295 × 10⁻3, IQR = 8.725 × 10⁻4-1.798 × 10⁻3), As (ILCR = 3.299 × 10⁻4, IQR = 2.049 × 10⁻4-5.991 × 10⁻4), and Cd (ILCR = 3.263 × 10⁻4, IQR = 2.747 × 10⁻4-3.878 × 10⁻4) suggested potential carcinogenic risks. Findings indicated potential health risks from dietary metal exposure in this population. Implementing comprehensive interventions to reduce exposure levels and optimize dietary patterns was essential. Future monitoring should prioritize heavy metal surveillance in food and drinking water.","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 6","pages":"204"},"PeriodicalIF":3.2,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143987426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Eco-toxicological study, characterization, distribution and sourcing of persistent organochlorine pesticides in Shalatin (Halayeb Triangle) sediment samples. 沙拉丁（Halayeb三角）沉积物样品中持久性有机氯农药的生态毒理学研究、特征、分布和来源。

IF 3.2 3区环境科学与生态学

Environmental Geochemistry and Health Pub Date : 2025-05-13 DOI: 10.1007/s10653-025-02509-6

Tarek O Said, Safaa Ragab, Amany El Sikaily, Muhammad Arshad, Mohamed A Hassaan, Murat Yilmaz, Ahmed El Nemr

{"title":"Eco-toxicological study, characterization, distribution and sourcing of persistent organochlorine pesticides in Shalatin (Halayeb Triangle) sediment samples.","authors":"Tarek O Said, Safaa Ragab, Amany El Sikaily, Muhammad Arshad, Mohamed A Hassaan, Murat Yilmaz, Ahmed El Nemr","doi":"10.1007/s10653-025-02509-6","DOIUrl":"https://doi.org/10.1007/s10653-025-02509-6","url":null,"abstract":"This preliminary study looked at the concentrations, sources, and hazards of the persistent organochlorine pesticides in 71 sediment samples from the Shalatin area (Egyptian Red Sea coast). Conventional methods were used to study the persistent organochlorinated pesticide residue. The residues of 16 organochlorine pesticides were determined using the gas chromatograph-mass spectrometer-mass spectrometer (GC-MS/MS); selected reaction monitoring (SRM) technique. The total pesticide residue (ng g-1, dry weight) extended from < DL-0.628; < DL-7.128; and < DL-8.256 ng g-1 for hexachloro-cyclohexane (HCHs), dichloro-diphenyl-trichloro ethane (DDTs), and cyclodienes (CDs), respectively. DDD and DDE, metabolites of DDT, are abundant in the sediment samples, suggesting that the identified DDTs were ancient and not recently added to the Shalatin area due to the lack of potential sources of these metabolites such as rivers or agricultural activities near this area. The organochlorine pesticides in sediment samples are lower than those reported for other global regions. The source identification of organochlorine pesticides and the Eco-toxicological study were also investigated. The analysis of possible health and environmental issues showed that there were not many hazards to either people or animals in the area under study. The widespread use of organochlorine pesticides for non-agricultural and agricultural purposes is this study's leading cause of persistent pesticides.","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 6","pages":"205"},"PeriodicalIF":3.2,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143985107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Multimedia contamination characteristics, risk assessment, and source quantification of phthalates in the Shaying River Basin, China. 沙营河流域邻苯二甲酸盐多媒体污染特征、风险评价及污染源定量分析

IF 3.2 3区环境科学与生态学

Environmental Geochemistry and Health Pub Date : 2025-05-09 DOI: 10.1007/s10653-025-02518-5

Minghui Hao, Qiting Zuo, Xinna Zhao, Shujuan Shi, Junfeng Wu, Hongbin Gao, Yizhen Lu

{"title":"Multimedia contamination characteristics, risk assessment, and source quantification of phthalates in the Shaying River Basin, China.","authors":"Minghui Hao, Qiting Zuo, Xinna Zhao, Shujuan Shi, Junfeng Wu, Hongbin Gao, Yizhen Lu","doi":"10.1007/s10653-025-02518-5","DOIUrl":"https://doi.org/10.1007/s10653-025-02518-5","url":null,"abstract":"Phthalates (PAEs), a class of typical endocrine-disrupting chemicals, have been widely detected in the environment due to their prevalent use as plasticizers in plastic products. This study investigates the multimedia contamination characteristics and potential ecological risks of PAEs in water, soil, and sediments of the Shaying River (SYR) Basin. A Geodetector model (GDM) was employed to identify the key drivers influencing the spatial distribution of PAEs, while factor analysis and the Positive Matrix Factorization (PMF) model were utilized to quantitatively apportion the potential sources of PAEs. Results revealed that the concentrations and spatial variation of PAEs were significantly higher in soil and sediments than in water, with distinct compositional profiles. Water samples exhibited a higher proportion of low-molecular-weight PAEs compared to soil and sediment, where high-molecular-weight PAEs prevailed to a lesser extent. Notably, among the 6 target PAEs, di-n-butyl phthalate (DBP) and di-(2-ethylhexyl) phthalate (DEHP) were uniformly the primary PAEs in water, soil, and sediment of the SYR Basin, posing higher ecological risks to algae, crustaceans, amphibians, and fish compared to the other 4 PAEs. The spatial distribution of PAEs in the SYR Basin was comprehensively influenced by land use, precipitation, human activities, and soil types. Key factors vary across media, but the interaction between popdensity and other variables significantly enhanced the interpretation degree, jointly shaping the PAEs distribution patterns. Primary sources of PAEs in the basin were sewage and wastewater discharges (37.0%), nonpoint industrial sources (36.4%), and domestic sources (25.6%).","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 6","pages":"202"},"PeriodicalIF":3.2,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143997629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Biochar derived from feedstock with high lignin content leads to better soil improvement performance in red soils: from the perspective of soil microbial regulation and carbon stabilization. 从土壤微生物调节和碳稳定的角度来看，由高木质素含量的原料制成的生物炭在红壤中具有更好的土壤改良性能。

IF 3.2 3区环境科学与生态学

Environmental Geochemistry and Health Pub Date : 2025-05-09 DOI: 10.1007/s10653-025-02522-9

Bowei Lv, Bing Ma, Yulong Li, Li Wu, Min Huang, Xiaoman He, Jianming Xue, Lie Yang

{"title":"Biochar derived from feedstock with high lignin content leads to better soil improvement performance in red soils: from the perspective of soil microbial regulation and carbon stabilization.","authors":"Bowei Lv, Bing Ma, Yulong Li, Li Wu, Min Huang, Xiaoman He, Jianming Xue, Lie Yang","doi":"10.1007/s10653-025-02522-9","DOIUrl":"https://doi.org/10.1007/s10653-025-02522-9","url":null,"abstract":"Red soil in southern China has a significant potential for carbon sequestration enhancement. Therefore, this study aimed to explore more effective biochar options to enhance the soil microbial environment and investigate their effects on soil carbon cycling. Three types of biochar were prepared and analyzed: maize stover biochar (Maize-BC, low lignin content), cotton stover biochar (Cotton-BC, high lignin content), and sludge biochar (Sludge-BC, no lignin content). The structure of the soil microbial community and carbon dynamics were comprehensively analyzed. The three biochars increased soil inorganic carbon, stable organic carbon, microbial carbon, and dissolved organic carbon by 30.1%-75.5%, 37.6%-44.0%, 88.4%-248.1%, and 4.3%-73.9%, respectively. Maize-BC with lower lignin content exhibited higher abundance and diversity in soil microbial communities compared to other treatments. In contrast, the addition of Cotton-BC with higher lignin content resulted in a shift mainly in the phylum Actinobacteria and Proteobacteria. Overall, the soil changes induced by cotton stover were more favorable for promoting a shift in the microbial community structure toward a lower carbon cycle, enabling microorganisms to better regulate or control the soil carbon cycle. This study offers a promising approach for future research focused on enhancing soil fertility and reducing soil carbon emissions.","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 6","pages":"203"},"PeriodicalIF":3.2,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143985661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Advancing the comprehensive understanding of soil organic carbon priming effect: definitions, mechanisms, influencing factors, and future perspectives. 推进对土壤有机碳启动效应的全面认识：定义、机制、影响因素及未来展望。

IF 3.2 3区环境科学与生态学

Environmental Geochemistry and Health Pub Date : 2025-05-09 DOI: 10.1007/s10653-025-02516-7

Shengman Zhang, Ziyuan Zhang, Fushun Wang, Xiangfeng Huang, Xueping Chen, Yuchun Wang, Chunyang Li, Hui Li

{"title":"Advancing the comprehensive understanding of soil organic carbon priming effect: definitions, mechanisms, influencing factors, and future perspectives.","authors":"Shengman Zhang, Ziyuan Zhang, Fushun Wang, Xiangfeng Huang, Xueping Chen, Yuchun Wang, Chunyang Li, Hui Li","doi":"10.1007/s10653-025-02516-7","DOIUrl":"https://doi.org/10.1007/s10653-025-02516-7","url":null,"abstract":"The soil carbon (C) priming effect (PE), an important phenomenon in soil C cycle research, has garnered extensive attention in recent years. Soil C PE refers to the stimulation or inhibition of the original soil organic C (SOC) decomposition rate by newly added organic matter in the soil. Its mechanism of action involves the activity of soil microorganisms. Fresh organic matter input provides an additional source of energy and nutrients for soil microorganisms, prompting changes in microbial community structure and activity, which in turn affects SOC decomposition. Easily decomposable organic matter may stimulate rapid microbial growth and metabolic activity of microorganisms, thereby the decomposition accelerating of original SOC and producing a positive PE, whereas recalcitrant organic matter may lead microorganisms to preferentially utilise the newly added C source, thereby inhibiting original SOC decomposition and producing a negative PE. There are numerous factors influencing soil C PE, including organic matter properties such as chemical composition, C:N ratio, and lignin content; soil environmental factors such as temperature, humidity, and pH value; and land-use patterns and vegetation types. Research on soil C PE is crucial for an in-depth understanding of the soil C cycle, the accurate assessment of dynamic changes in the soil C pool, and the development of sustainable soil management strategies. This study introduces the definition, change mechanism, influencing factors, and research methods of soil C PE and elaborates on the status and deficiencies of PE research, which is helpful for predicting soil C responses to global climate change and provides a scientific basis for improving soil fertility and reducing greenhouse gas emissions.","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 6","pages":"201"},"PeriodicalIF":3.2,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143991335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Introducing hybrid electrokinetic-permeable reactive barrier-membrane systems for remediation of soil-slag mixtures contaminated with Pb and Zn. 介绍了一种用于铅、锌污染土壤-矿渣混合物修复的混合电渗透反应性阻隔膜系统。

IF 3.2 3区环境科学与生态学

Environmental Geochemistry and Health Pub Date : 2025-05-06 DOI: 10.1007/s10653-025-02503-y

Hanieh Giahchin, Reza Ghiassi, Zahra Akbari

{"title":"Introducing hybrid electrokinetic-permeable reactive barrier-membrane systems for remediation of soil-slag mixtures contaminated with Pb and Zn.","authors":"Hanieh Giahchin, Reza Ghiassi, Zahra Akbari","doi":"10.1007/s10653-025-02503-y","DOIUrl":"https://doi.org/10.1007/s10653-025-02503-y","url":null,"abstract":"This study investigates the effectiveness of electrokinetic (EK) remediation for the removal of lead (Pb) and zinc (Zn) from a contaminated soil-slag mixture collected from the Isfahan Steel Industry. The mixture exhibited high buffering capacity, significant organic matter content, and elevated Pb and Zn concentrations. The electrokinetic setup, which was constructed from transparent plexiglass, consists of three main sections: a soil chamber, two electrolyte reservoirs and two stainless steel electrodes and they were placed at the ends of the soil chamber within electrode compartments. Nine experiments were performed under a constant voltage gradient of 1.5 V/cm over 120 h to evaluate different enhancement strategies, including (1) coupling EK with pistachio shell-derived activated carbon as a permeable reactive barrier (PRB) near the cathode and both electrolytes, (2) incorporating a cation exchange membrane (CEM) near the cathode, (3) conditioning the electrolyte with ethylenediaminetetraacetic acid (EDTA), both alone and in combination with PRB and CEM, and (4) pre-treating the mixture with EDTA. Visual Minteq modeling indicated that, in the absence of EDTA, the dominant Pb and Zn species were Pb3(OH)42⁺ and Zn(OH)2, while the presence of EDTA led to the formation of PbEDTA2- and ZnEDTA2-, enhancing metal mobility. The highest removal efficiencies were obtained in the experiment where EDTA (0.1 M) was used in the catholyte, PRB was placed at the center of the cell, and CEM was applied near the cathode, achieving 68.7% Pb and 48.3% Zn removal with lower energy consumption. SEM-EDS analysis confirmed significant Pb and Zn adsorption onto the activated carbon. The findings suggest that the integration of PRB, CEM, and EDTA-enhanced electrolyte conditioning improves electrokinetic remediation performance and offers a feasible approach for treating heavy metal-contaminated soil-slag mixtures.","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 6","pages":"199"},"PeriodicalIF":3.2,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143987429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Supervised soil salinity estimation and mapping for potential crop cultivation based on multi-date SAR Sentinel-1A imagery: a case study in the wet coast of Jiangsu Province, China. 基于多数据SAR Sentinel-1A影像的土壤盐分估算与作物种植潜力制图——以江苏省潮湿沿海地区为例

IF 3.2 3区环境科学与生态学

Environmental Geochemistry and Health Pub Date : 2025-05-06 DOI: 10.1007/s10653-025-02507-8

Jianjun Wang, Quan Yin, Jiali Shang, Minfeng Xing, Guisheng Zhou, Pei Sun Loh, Lige Cao, Qigen Dai

{"title":"Supervised soil salinity estimation and mapping for potential crop cultivation based on multi-date SAR Sentinel-1A imagery: a case study in the wet coast of Jiangsu Province, China.","authors":"Jianjun Wang, Quan Yin, Jiali Shang, Minfeng Xing, Guisheng Zhou, Pei Sun Loh, Lige Cao, Qigen Dai","doi":"10.1007/s10653-025-02507-8","DOIUrl":"https://doi.org/10.1007/s10653-025-02507-8","url":null,"abstract":"Remote sensing of soil salinity is essential for selecting suitable salt-tolerant crops and improving soil management. Previous research focused mainly on arid regions. Synthetic aperture radar (SAR) data are crucial for wet coasts due to frequent cloudiness, but significant changes in soil moisture and vegetation impede the soil salinity assessment accuracy. This study demonstrated the feasibility of mapping soil salinity on China's wet east coast through combining machine learning and multi-date SAR data. Two field surveys were carried out on June 17 and July 21, 2017. Using recursive feature elimination, this study generated and screened SAR variables derived from Sentinel-1A SAR imagery acquired on 15 individual dates, and developed support vector regression (SVR) based- and random forest regression (RFR) based-soil salinity models, respectively. The SVR models outperformed the RFR models. The SVR models yielded accurate soil salinity estimations for the 2017-06-17 (R2 = 0.98, RPD = 7.01, RMSE = 0.18 dS/m and RRMSE = 6.28%) and 2017-07-21 (R2 = 0.92, RPD = 3.54, RMSE = 0.27 dS/m and RRMSE = 10.17%) field surveys. The two SVR models efficiently mapped the spatial distribution of soil salinity, and clearly exhibited the temporal changes of soil salinity. Therefore, the new entirely image-based framework constructed two accurate soil salinity estimation models. The framework employs the tenfold cross-validation to reduce overfitting and uncertainty, and it has the potential for adoption over other humid saline regions. The operation-friendly framework does not require the information challenging to acquire on site (e.g., soil moisture and surface roughness). In addition, this study highlights the benefit of using multi-date imagery over the single-date image approach (e.g., the image acquired closer to the field survey date).","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 6","pages":"200"},"PeriodicalIF":3.2,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143984504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Nitrate pollution index and age wise health risk appraisal for the Pambar River basin in south India. 印度南部潘巴尔河流域硝酸盐污染指数与年龄健康风险评价

IF 3.2 3区环境科学与生态学

Environmental Geochemistry and Health Pub Date : 2025-05-06 DOI: 10.1007/s10653-025-02512-x

C N Sridhar, T Subramani, G R Senthil Kumar, K Soundaranayaki

{"title":"Nitrate pollution index and age wise health risk appraisal for the Pambar River basin in south India.","authors":"C N Sridhar, T Subramani, G R Senthil Kumar, K Soundaranayaki","doi":"10.1007/s10653-025-02512-x","DOIUrl":"https://doi.org/10.1007/s10653-025-02512-x","url":null,"abstract":"Water and human healthcare are common concerns for everyone, resonating with the sustainable development goal. In Pambar River basin, south India, groundwater samples were obtained in 100 locations from open and bore wells to assess the quality of groundwater based on hydrochemical constituents like pH (Hydrogen Ion Concentration), CO₃2- (carbonate), Ca2⁺ (calcium), HCO₃- (bicarbonate), Cl- (chloride), Mg2⁺ (magnesium), SO₄2- (sulfate), K⁺ (potassium), Na⁺ (sodium), TDS (Total Dissolved Solids) with a special focus on NO₃- (nitrate) enrichment in groundwater and health risk computed from consumption of nitrate enriched water by different age categories of people, and acceptableness of water for consumption depends on the range of NPI (Nitrate Pollution Index). The nitrate content in subsurface water samples falls from 0.7 to 187.5 mg/L. Out of 100 samples, 31 samples surpassed the WHO, 2017 recommended limit for drinking purpose (> 45 mg/L). The calculated nitrate pollution index (NPI) values of samples represent clean class (n = 43), light pollution class (n = 26), moderate pollution class (n = 9), significant class (n = 11) and very significant class (n = 11). The correlation matrix explains nitrate is weakly correlated with pH, magnesium, calcium, and potassium, and negatively associated with TDS, sodium, bicarbonate, chloride, and sulfate. The human health risk assessment computed from oral intake and dermal contact indicated that 36%, 34%, 31%, 36%, and 31% of samples for children, younger women, elder women, younger men, and elder men respectively, had a total hazard index (THI) > 1, indicating potential health risks. The nitrate enrichment in the subsurface water is caused by human-induced factors like fertilizers usage for agriculture, and leaching of animal waste. The health risk and water quality study suggest regular monitoring and managing the quality of groundwater for making the healthy society.","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 6","pages":"198"},"PeriodicalIF":3.2,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143997643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Per- and polyfluoroalkyl substances (PFAS) in drinking water systems in the lower Yangtze River: source, fate, and health risk assessment. 长江下游饮用水系统中的全氟和多氟烷基物质（PFAS）：来源、归宿和健康风险评估

IF 3.2 3区环境科学与生态学

Environmental Geochemistry and Health Pub Date : 2025-05-05 DOI: 10.1007/s10653-025-02506-9

Yuan Hong, Qin Ding, Tingting Yang, Xiaoqin Li, Ninghui Song, Juan Zhang

{"title":"Per- and polyfluoroalkyl substances (PFAS) in drinking water systems in the lower Yangtze River: source, fate, and health risk assessment.","authors":"Yuan Hong, Qin Ding, Tingting Yang, Xiaoqin Li, Ninghui Song, Juan Zhang","doi":"10.1007/s10653-025-02506-9","DOIUrl":"https://doi.org/10.1007/s10653-025-02506-9","url":null,"abstract":"The Yangtze River is significantly impacted by industrial activities related to per- and polyfluoroalkyl substances (PFAS) in China, posing potential threats to drinking water safety. So far, our knowledge of PFAS occurrence in the river and their fate in the whole drinking water supply systems remains limited. We conducted a comprehensive investigation of PFAS in Jiangsu's drinking water systems, using the target screening method. 12 perfluoroalkyl acids (PFAAs) and 7 emerging PFAS were detected and precisely quantified in the whole treatment process water flows, as well as source water and household tap water with concentrations of 61.34-90.40 ng/L. PFAAs [PFOA (30.26 ng/L), PFBS (23.25 ng/L), PFBA (18.82 ng/L) and PFHxA (16.89 ng/L)] and 8:8 PFPiA (13.63 ng/L) were the dominant pollutants in the low Yangtze River. PFBA (19.92 ng/L), PFBS (15.02 ng/L) and PFOA (11.94 ng/L) were major contaminants in tap water. The powder activated carbon pre-treatment in DWTP-B could remove 21.36-65.84% of long-chain PFAS, especially PFOA. Ozonation achieved slight emerging PFAS removal (3.22-11.06%), while PFAAs concentrations exhibited an increase. Granular active carbon filtration was effective in removing long-chain PFAS, with DWTP-B outperforming DWTP-A. PFSAs (3.12-22.09%) had a better removal than PFCAs (- 0.62 to 19.54%). Infants and children face a moderate health risk of PFAS intake through drinking water, peaking at the age group of 9 months to 1 year (HQ = 2.45). These findings underscore the necessity for improved PFAS removal technologies and stricter regulation of PFAS contamination in the Yangtze River to reduce exposure.","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 6","pages":"197"},"PeriodicalIF":3.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143967066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}

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