Environmental Monitoring and Assessment最新文献

{"title":"Development of a Pb2+–selective potentiometric sensor for environmental monitoring of lead in water samples","authors":"Sarmad Luqman Hasan Sheekhoo,&nbsp;Oguz Özbek,&nbsp;Onur Cem Altunoluk,&nbsp;Kıymet Berkil Akar,&nbsp;Ömer Isildak","doi":"10.1007/s10661-026-16046-x","DOIUrl":"10.1007/s10661-026-16046-x","url":null,"abstract":"<div><p>A Pb²⁺–selective potentiometric sensor based on a PVC membrane incorporating 5,8-dibromo-2-((furan-2-ylmethyl)amino)naphthalene-1,4-dione as a neutral ionophore was successfully fabricated and characterized. The membrane electrode exhibited excellent selectivity toward Pb²⁺ in the presence of various potentially interfering metal ions and displayed favorable electroanalytical performance. A Nernstian slope of 28.8 ± 1.09 mV/decade was obtained over the concentration range of 1.0 × 10⁻⁶–1.0 × 10⁻¹ M, with a detection limit of 5.73 × 10⁻⁷ M. In addition, the sensor reached a stable potential within 6 s and operated reliably over the pH range of 4.0–9.0, while maintaining good repeatability throughout the measurements. SEM–EDX analysis and elemental mapping further provided evidence for the presence and distribution of Pb on the membrane surface after Pb²⁺ exposure, supporting the interaction of the ionophore-containing membrane with Pb²⁺. Its analytical applicability was verified by the determination of Pb²⁺ in environmental water samples, yielding satisfactory results. These findings demonstrate that the fabricated membrane sensor provides a simple, sensitive, selective, and cost-effective approach for the potentiometric determination of Pb²⁺ in environmental water samples.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149164933","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":"Developing an inverse mapping model for groundwater contamination source identification based on Kolmogorov-Arnold networks","authors":"Xiao Wang,&nbsp;Wenxi Lu,&nbsp;Yuanyuan Jia","doi":"10.1007/s10661-026-15993-9","DOIUrl":"10.1007/s10661-026-15993-9","url":null,"abstract":"<div><p>Groundwater contamination source identification (GCSI) aims to use inverse methods to identify essential information such as the location of contamination sources and their release history, which is of significant practical importance for the prevention and remediation of groundwater contamination. Existing studies typically rely on forward modeling frameworks (mapping from contamination source to concentration monitoring data) with iterative optimization for inversion calculations, which suffers from computational inefficiency and solution non-uniqueness. This study proposes a novel and efficient inverse mapping methodology that enables direct inversion for GCSI problems. Specifically, a Kolmogorov-Arnold Networks (KAN) method is combined with a bidirectional mapping strategy and a positive feedback strategy for training samples. This model provides a solution to the GCSI problem by directly linking contamination concentration monitoring values to contamination source characteristics and simulation model parameters. Furthermore, the feasibility of this proposed method is demonstrated through two hypothetical case studies. Two significant advantages of the KAN inverse mapping model are highlighted based on the experimental results. First, the inversion process demonstrates both speed and accuracy. The contamination source characteristics are identified within seconds with a maximum error of 2% for 12 variables in case 1. Besides, the heterogeneous permeability field inversion achieves a spatial correlation coefficient (SCC) of 0.85 in case 2. Second, the KAN inverse mapping model exhibits robustness and the model still remains stable and accurate even with noisy data. In conclusion, the proposed KAN inverse mapping model combined with the described strategies demonstrates sufficient accuracy and efficiency to address the GCSI problem.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149163956","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":"Meteorological modulation of ground-level air quality in India based on in situ measurements","authors":"Neelam Chaudhary,&nbsp;Manoj K Mishra,&nbsp;Swagata Payra,&nbsp;Divya Prakash,&nbsp;Sunita Verma","doi":"10.1007/s10661-026-15915-9","DOIUrl":"10.1007/s10661-026-15915-9","url":null,"abstract":"<div><p>In India, air pollution has become a significant environmental and public health concern due to rapid urbanisation, industrial development, and intensive agricultural activities. This research provides a comprehensive analysis of the monthly and seasonal trends of key air pollutants (PM<span>(_{10})</span>, PM<span>(_{2.5})</span>, O<span>(_{3})</span>, NO<span>(_{2})</span>, and SO<span>(_{2})</span>) along with meteorological factors (i.e. planetary boundary layer height, relative humidity, temperature, precipitation, wind patterns, and surface pressure) from 2017 to 2024. The outcome of this study reveals a significant decline in PM concentrations at several monitoring sites across the IGP region, with Sen’s slope values ranging from −0.893 to −0.097 and −1.320 to −0.169 <span>(mu text {g}~text {m}^{-3}~text {month}^{-1})</span> for PM<span>(_{2.5})</span> and PM<span>(_{10})</span>, respectively. However, increasing trends were observed in Punjab, likely due to localised emission sources, and region-specific factors influenced a few southern sites. Further, O<span>(_{3})</span> exhibited an increasing trend (0.041 to 0.529 <span>(mu text {g}~text {m}^{-3}~text {month}^{-1})</span>) in several regions, highlighting the role of aerosol inhibition and enhanced precursor concentrations in promoting ozone formation. Additionally, NO<span>(_{2})</span> and SO<span>(_{2})</span> exhibited heterogeneous trends, with notable decreases in some regions likely reflecting stricter emission regulations, while others remained relatively stable. These trends were further modulated by meteorological conditions, as reduced PBLH and wind speed over northern and eastern India, except Delhi, along with increased humidity and surface pressure, contributed to pollutant accumulation. Mumbai and Bangalore experienced higher PBLH, winds, and precipitation, aiding pollutant dispersion. Correlation analysis demonstrated a positive association of PM with NO<span>(_{2})</span> and SO<span>(_{2})</span> (<span>( r approx 0.5 text { to } 0.6)</span>), while O<span>(_{3})</span> showed an inverse association with PM (<span>( r approx -0.2 text { to } -0.8 )</span>) due to the role of aerosol attenuation, photochemical interactions, and region-specific precursor chemistry in regulating surface ozone levels. This study provides valuable insights into the spatiotemporal trends of air pollution across India and emphasises the need for continuous monitoring and region-specific mitigation strategies.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149164028","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":"Endangered Phoebe bootanica tree populations may face severe habitat contraction and potential distributional shifts under projected climate change in Northeast India","authors":"Yengkhom Devajit,&nbsp;Neekee Thangjam,&nbsp;Vivek Vaishnav","doi":"10.1007/s10661-026-16009-2","DOIUrl":"10.1007/s10661-026-16009-2","url":null,"abstract":"<div><p>The present study applies an ensemble of small models (ESM) to assess current and future (2021–2040 and 2081–2100) habitat suitability for the populations of <i>Phoebe bootanica</i> (Lauraceae), an over-exploited timber species endemic to Northeast India’s Indo-Myanmar Biodiversity Hotspot. A total of 122 field occurrence records were compiled, of which 22 spatially thinned records were retained for the final modelling, along with 12 environmental variables (including bioclimatic, topographic, edaphic, land cover). Six algorithms (artificial neural network (ANN), classification tree analysis (CTA), generalized additive model (GAM), generalized boosting model (GBM), multivariate adaptive regression splines (MARS), and random forests (RF)) generated bivariate models, which were ensembled via weighted averaging and evaluated using area under the curve (AUC) (0.905), true skill statistic (TSS) (0.745), and the Boyce index (0.795), indicating excellent performance. Elevation (1.56 relative contribution) emerged as the primary driver, favoring altitudes of 1500–2000 m, followed by the precipitation of the driest month (1.47), the warmest quarter (1.35), isothermality (1.33), and soil total nitrogen (1.19). Currently, 1168.58 km² is highly suitable (&gt; 0.6 habitat suitability index (HSI)), mainly in mid-elevation forests. Under SSP1-2.6, highly suitable area contracts 99.54% by 2040 (to 5.41 km²), recovering slightly to 539.82 km² by 2100, with the modelled suitable habitat projected to shift from Manipur/Nagaland toward Meghalaya’s West Khasi Hills. SSP5-8.5 projects a 92.92% loss by 2040 (82.75 km²), rebounding to 1440.03 km² by 2100, with a concentration in stable refugia, such as the West Khasi Hills. Moderately suitable habitats decline by 3–51% across the projected scenarios, while not-suitable areas expand by up to 34% in the near future (2021–2040) before contracting by up to 30% by 2081–2100 as habitat conditions partially recover. The ESM approach helped address the constraints of limited occurrence data for this rare species, underscoring <i>Phoebe bootanica</i>’s vulnerability to warming/drying trends. Prioritizing mid-elevation nature reserves in regions of niche suitability and persistent refugia is recommended to enhance the species’ resilience and sustainable management.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149168082","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":"Climate-induced hydraulic stress and geomorphological changes: an assessment of vulnerability of critical river infrastructure in the data-scarce basin, India","authors":"Arnab Ghosh,&nbsp;Moumita Kundu,&nbsp;Ellora Padhi","doi":"10.1007/s10661-026-16013-6","DOIUrl":"10.1007/s10661-026-16013-6","url":null,"abstract":"<div><p>Climate non-stationarity increasingly threatens river infrastructure, yet its quantified impact on bridge pier scour in data-scarce tropical basins remains poorly constrained. The study evaluates the climate-induced modification of the river hydrology, hydraulics and channel behaviour of the data-scarce Rupnarayan river basin in the peri-urban zone of eastern India using a case study of the Kolaghat Bridge. A high-resolution model, the Max Planck Institute Earth System Model version 1.2 Higher Resolution (MPI-ESM1-2-HR), was downscaled, bias-corrected, and coupled with a Soil and Water Assessment Tool (SWAT) model giving good skills (NSE = 0.90; <i>R</i>² = 0.86) for discharge well. Three Shared Socioeconomic Pathways (SSP245, SSP370, SSP585) were used to project flow and sediment series which were used as input to a Hydrologic Engineering Center River Analysis System (HEC-RAS) 2D model that computed water-surface elevation (WSE), energy gradient and bed shear stress for 2- to 100-year return periods. The observed record (1960–2020) has no significant trend, but each pathway exhibits a large difference: mean annual temperature and rainfall increase by + 1.31 °C and + 22.1% by 2100 under SSP585. The three-model comparison shows an increase of 11–18% in critical shear stress and energy gradient at this bridge (~ 15% for MPI-ESM1-2-HR model). The HEC-18 analysis results indicate that total pier scour increased from ~ 6.07 m to ~ 10.93 m (~ 80%), which would diminish foundation safety margins, while the reduced high-frequency variability in WSE suggests increased sedimentation, channel narrowing, and overall channel sinuosity (1.08 to 1.67). In summary, under the high-emission SSP585 pathway by 2100 the critical shear stress at the Kolaghat Bridge rises by 11 to 18 per cent and total pier scour increases by about 80 per cent, from about 6.07 to about 10.93 m, which erodes the foundation safety margin below the code threshold and makes a clear case for climate-adjusted hydraulic design loads together with regular bathymetric monitoring and planned dredging.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132723","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":"Heavy metal contamination in soil and vegetables: a health risk assessment from urban areas of Sylhet, Bangladesh","authors":"Rasendra Talukder,&nbsp;Palash Mandal,&nbsp;Amdadul Haque Shaon,&nbsp;Jarin Tasnim,&nbsp;Durjoy Hur,&nbsp;Saniya Afrin Swarna,&nbsp;Hirajan Hamal,&nbsp;Ashutus Singha","doi":"10.1007/s10661-026-15996-6","DOIUrl":"10.1007/s10661-026-15996-6","url":null,"abstract":"<div><p>Rapid industrialization, urban expansion, and inadequate waste management in the peri-urban areas of Sylhet city, Bangladesh, have raised concerns regarding heavy metal accumulation in agricultural soils and vegetables and their potential implications for human health. However, information on heavy metal transfer from soil to edible crops and the associated health risks in this rapidly developing region remains limited. This study assessed heavy metal concentrations in peri-urban agricultural soils and commonly consumed vegetables and evaluated their potential human health risks. A total of 60 composite soil and vegetable samples were collected from 21 locations around Sylhet city during the Rabi season (January–March 2024). Concentrations of cadmium (Cd), lead (Pb), nickel (Ni), zinc (Zn), copper (Cu), chromium (Cr), iron (Fe), and manganese (Mn) were determined using inductively coupled plasma mass spectrometry (ICP–MS). In both soils and vegetables, Fe and Mn were the predominant metals, whereas Cd and Pb occurred at the lowest concentrations. Bioconcentration factor (BCF) values for Cd exceeded 1 at three locations (up to 5.8), indicating a potential risk of Cd accumulation in vegetables, while Cu exhibited a BCF greater than 1 at one location. Brinjal (<i>Solanum melongena</i> L.) showed the highest accumulation capacity among the investigated vegetables. Hazard index (HI) values ranged from 0.44 to 2.02, with seven sampling sites exceeding the safety threshold (HI &gt; 1). The highest HI values were observed in cabbage (2.02), red amaranth (1.89), and tomato and gourd samples from specific locations, indicating potential non-carcinogenic health risks from long-term consumption. These results highlight a possible cumulative non-carcinogenic health risk for peri-urban consumers who depend on locally grown vegetables in Sylhet and emphasize the need for regular heavy metal monitoring and better soil management in this area.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132780","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":"Seasonality and maximum wind gusts correlate with microplastic concentrations in a freshwater stream system","authors":"Chloe Mattie\u0000,&nbsp; Isabella\u0000 Ashman,&nbsp;Megan Fork,&nbsp;T. Elliott Arnold","doi":"10.1007/s10661-026-15985-9","DOIUrl":"10.1007/s10661-026-15985-9","url":null,"abstract":"<div><p>We evaluate how meteorological and environmental variables relate to stream microplastic concentrations using regression-based models. Forty-nine water column samples were collected bimonthly over an annual cycle (September 2024–September 2025) from a stream in southeastern Pennsylvania, USA. Microplastic particles were isolated and quantified by light microscopy, and polymer types were characterized using scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM–EDS) and Fourier transform infrared spectroscopy (FTIR). Results from three separate multiple linear regression models (stepwise selection, LASSO, and elastic net) demonstrate high variability in microplastic counts, including pronounced seasonal variability (mean = 7.6 particles L⁻¹, <i>n</i> = 49, 1σ = 4.9 particles L⁻¹). All regression approaches identified colder temperatures and stronger wind gusts as important predictors of elevated microplastic concentrations. Repeated tenfold cross-validation indicated that models incorporating these variables explained approximately 80% of the variability in microplastic concentrations within this relatively small dataset (<i>n</i> = 49), highlighting their importance as the dominant environmental controls on microplastic abundance in Plum Run. When scaled by riparian area, the wind-sensitive component of the stream plastic flux is consistent with physically plausible atmospheric deposition rates. These results provide an indirect inference that environmental factors enhance transport of microplastics into waterways. Qualitative data from EDS and FTIR spectra indicate that polyester fibers comprise the majority of microplastic pollution in Plum Run. From this, we infer that increased laundering and shedding of synthetic clothing during winter may be a primary driver of higher pollution in winter months.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-026-15985-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132848","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":"Measurement uncertainty of fluoride determination in vegetation: contributions from sampling and analysis","authors":"E. Antonsson,&nbsp;E. I. Eyjólfsdóttir,&nbsp;K. Gíslason","doi":"10.1007/s10661-026-15981-z","DOIUrl":"10.1007/s10661-026-15981-z","url":null,"abstract":"<div><p>Accumulation of fluoride in vegetation can have ecological and toxicological implications not only for the plants themselves, but for other organisms higher up the food chain. Assessment of fluoride concentration in vegetation requires reliable estimates of the associated measurement uncertainty. We investigate the fluoride concentration in three types of vegetation in Iceland (grass, downy birch, and rowan) and evaluate the contributions of both sampling and chemical analysis to the measurement uncertainty. Sampling of vegetation is performed following a standardized protocol at predetermined locations in the vicinity of aluminum smelters in Iceland, with subsequent determination of fluoride using ion selective electrodes. Measurement uncertainty arising from sampling and analysis was evaluated using an approach that couples duplicate sampling with duplicate analysis. The results of this analysis indicate that sampling contributes substantially to the measurement uncertainty, dominating the uncertainty budget for grass and downy birch, while analytical and sampling uncertainty was found to be of comparable magnitude for rowan. These findings demonstrate that estimates of measurement uncertainty that are based solely on data from the chemical analysis part severely underestimate the total measurement uncertainty. When expressed as relative expanded measurement uncertainty, the measurement uncertainty of fluoride content in vegetation is found to be 43%, 45%, and 13% for grass, downy birch, and rowan, respectively. The approach applied here and the obtained results provides a reliable way to incorporate contributions from sampling into assessment of measurement uncertainty in environmental monitoring using vegetation. The results are expected to allow for meaningful interpretation of fluoride data in vegetation when comparing them to limit values in permits or to species-specific damage thresholds of vegetation.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132850","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":"Long‑term trends and seasonal variability of particulate matter (PM10 and PM2.5) in Volta Redonda (RJ), Brazil: a 15‑year temporal analysis","authors":"Bruno Cesar Silva Rocha,&nbsp;Jackson Porto Cardoso,&nbsp;Jéssica de Medeiros Soares,&nbsp;Libério Junio da Silva,&nbsp;Nivia de Mello Nascimento,&nbsp;Adriana Gioda,&nbsp;Marcelo Correa Bernardes","doi":"10.1007/s10661-026-15988-6","DOIUrl":"10.1007/s10661-026-15988-6","url":null,"abstract":"<div><p>Air quality in Volta Redonda, Rio de Janeiro, Brazil, is influenced by industrial activities and meteorological conditions, but its temporal evolution and spatial variability require systematic assessment. This study evaluated PM₁₀ and PM_2.5 concentrations from 2010 to 2024, investigating temporal trends, spatial and seasonal differences, and their relationships with meteorological variables. The Mann–Kendall test and Theil–Sen estimator were applied to assess trends, Mann–Whitney tests to compare periods and seasons, Kruskal–Wallis tests to evaluate spatial differences, and Spearman correlations to assess meteorological relationships, complemented by pollution roses and concentration-weighted trajectory (CWT) analysis. Annual PM₁₀ concentrations exceeded the World Health Organization annual guideline of 15 µg m⁻³ at all stations and in all analyzed years, while PM_2.5 exceeded 5 µg m⁻³ in all years at the Volta Grande station. In 2024, 36% of PM₁₀ measurements exceeded the national standard of 35 µg m⁻³, with annual means of 44 ± 22 µg m⁻³ at Conforto and 44 ± 12 µg m⁻³ at Siderville. No significant long-term monotonic trends were identified for PM₁₀ or PM_2.5; for PM_2.5, the Theil–Sen slope was −0.346 µg m⁻³ year⁻¹ (<i>p</i> = 0.0866). Concentrations were higher in winter than in summer for PM₁₀ (<i>p</i> = 0.002) and PM_2.5 (<i>p</i> = 0.001), while PM₁₀ showed negative correlations with precipitation (<i>r</i> =  −0.66) and temperature (<i>r</i> =  −0.46). CWT analysis indicated potential contribution regions predominantly west and northwest of the receptor stations.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132853","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 mangrove sensitivity to thermal variations through a satellite-based analysis on the southern São Paulo coast, Brazil","authors":"Jakeline Baratto,&nbsp;Paulo Miguel de Bodas Terassi,&nbsp;Nádia Gilma Beserra de Lima,&nbsp;Emerson Galvani","doi":"10.1007/s10661-026-16005-6","DOIUrl":"10.1007/s10661-026-16005-6","url":null,"abstract":"<div><p>Mangroves near subtropical range limits may benefit from fewer cold constraints, yet warmer conditions can also increase atmospheric water demand. These competing possibilities were examined in the Cananéia-Iguape Coastal System, southeastern Brazil, by combining ERA5 2 m air temperature with MODIS normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and leaf area index (LAI). Air-temperature trends were assessed for 1979–2019 with the Mann-Kendall test and Sen’s slope. Temperature-vegetation associations were calculated for 2003–2019 from mangrove-wide means and from individual grid cells at annual, monthly, and fixed calendar-quarter scales. Mean annual air temperature increased by about 0.02 °C year⁻¹; the highest quarter-scale rate occurred in July–September (0.03 °C year⁻¹). Annual temperature correlated positively with NDVI (<i>r</i> = 0.61, <i>R</i>² = 0.38, <i>p</i> = 0.009) and EVI (<i>r</i> = 0.55, <i>R</i>² = 0.30, <i>p</i> = 0.022), whereas the LAI relationship was not significant (<i>r</i> = 0.27, <i>R</i>² = 0.07, <i>p</i> = 0.304). The sign of the association changed within the year: NDVI and EVI were negative in July–September, while positive EVI and LAI relationships occurred in October-December. Significant grid-cell relationships occupied limited and discontinuous areas. The temperature record shows regional warming, whereas canopy associations vary among metrics, periods, and locations. Given the bivariate design and coarse ERA5 grid, these associations should not be interpreted as causal or as responses to temperature alone.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-026-16005-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132783","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}