Environmental Monitoring and Assessment最新文献

{"title":"Geospatial mapping and 7-year temporal trends of electromagnetic field bands in Cyprus","authors":"Yiannis Kiouvrekis,&nbsp;Ioannis Psomadakis,&nbsp;Christos Christakis,&nbsp;Dimitris Kalatzis","doi":"10.1007/s10661-026-15361-7","DOIUrl":"10.1007/s10661-026-15361-7","url":null,"abstract":"<div><p>This study presents the first integrated geospatial and temporal assessment of radiofrequency electromagnetic field (RF-EMF) exposure in Cyprus, using 7 years (2017–2023) of periodic in-situ measurements conducted at fixed locations around all operational mobile telephony base stations as part of the national RF-EMF monitoring program. Electric field strengths were evaluated across eleven frequency bands spanning 30 MHz–3.6 GHz, including broadcast services and cellular communication bands relevant to 4 G and 5 G networks. Spatial exposure distributions were characterized through geostatistical interpolation, while long-term variability was quantified using non-parametric Kruskal-Wallis and Mann–Kendall tests. Results show that exposure levels in all bands remain well below international reference limits. Broadcast bands exhibit consistently low and stable values (&lt; 1 in µV/m), whereas significant increasing monotonic trends were detected in several mobile communication bands, particularly 800 MHz, 1800 MHz, 2100 MHz, and 2600 MHz, reflecting network densification and growing data demand. The newly introduced 700 MHz and 3600 MHz 5 G bands did not yet display statistically significant trends due to the shorter observation period. The combined spatiotemporal evidence highlights localized hotspots in high-traffic areas and underscores the need for sustained, transparent monitoring to ensure safe and adaptive EMF exposure governance in the evolving wireless landscape.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-026-15361-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829746","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":"Spatial pattern of pesticides in a Mediterranean rural area cultivated with citrus fruit: contribution of drift events and inadequate green cover to contamination of a local village","authors":"L. Lucadamo,&nbsp;T. Belfiore,&nbsp;D. Puntillo,&nbsp;A. Corapi","doi":"10.1007/s10661-026-15372-4","DOIUrl":"10.1007/s10661-026-15372-4","url":null,"abstract":"<div><p>A monitoring campaign was carried out in a Mediterranean agricultural district by transplantation of thalli of the lichen <i>Evernia prunastri</i> to 32 stations to evaluate the distribution of pesticides, the development of drift events, the dimension of the area, and the level of exposure in the Cantinella village. Spearman correlation coefficients and PCA performed on the database stations × pesticides revealed that they were sprayed as mixtures and mostly bioaccumulated in the northern part. Spirotetramat and Hexythiazox exhibited the highest levels, consistent with the pests, being the former sprayed to contrast <i>Tetranychus urticae</i>, the most diffused species, and the latter used as a multi-spectrum pesticide. Based on the Calabria Region treatment schedule and covariance between pesticide spatial variation, we believe that Hexythiazox and Acetamiprid treatment has gone beyond prescribed deadline. Drift events were associated with the detection of pesticides in Cantinella and zones managed with organic agriculture criteria and to the significant correlation between the concentration patterns and wind flows. All the pesticides were detected inside Cantinella stations pointing to a potential co-exposure of the inhabitants to them. Spirotetramat concentration was 80% higher than that of the outside stations. The green-cement cover ratio was strongly inadequate for reducing atmospheric pollution, with a significant spatial variation (chi-square test) in green areas (northern side: 14%, southern side: 24%) associated with the percentage of single and total pesticide loads (northern side: 25%, southern side: 7%). Our data suggest that widespread drift, caused also by over-spraying, can damage the agricultural economy and promote pesticide inhalation by residents, especially when urban characteristics increase exposure.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829153","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 industrial effluent impact and hydrological dynamics of the Meghadri Gedda surplus channel using SWAT and GIS","authors":"Md. Nur Al Nashib,&nbsp;Sambatooru Venkata Raji","doi":"10.1007/s10661-026-15327-9","DOIUrl":"10.1007/s10661-026-15327-9","url":null,"abstract":"<div><p>The Meghadri Gedda surplus channel, Visakhapatnam, India, is an important waterway originating from Meghadri Gedda reservoir and flowing into the Bay of Bengal, which is heavily impacted by the surrounding industries. This present study adopts a novel integrated technique that combines SWAT-based hydrological modeling with detailed physicochemical characterization of industrial effluents to evaluate both watershed processes and pollution impacts in an industrially influenced catchment. Furthermore, a comparative assessment of industrial-treated effluent quality against CPCB standards was included in this study, an aspect that has received limited attention in previous studies in this region. SWAT model was used in this study to analyze the spatial distribution and hydrological process around the MG catchment area. The physicochemical properties of industrial effluents and channel water were analyzed to assess the extent of industrial pollution and its impact on the MG surplus channel. Industrial effluents from Coromandel Fertilizers Limited and rain C-II carbon showed remarkable physicochemical characteristics such as low pH of 1.02 at ETP inlets, high TDS value up to 5020mg/L, and elevated chloride concentrations up to 148,890 mg/L. The values of BOD and COD also crossed the CPCB limits with 4875 mg/L BOD and 1232 mg/L COD, indicating a notable organic load. Alkalinity concentrations in both batches vary from 80 to 720 mg/L, and desalination-reject magnesium concentrations exceed the standard limits of CPCB. The catchment area received annual precipitation of 1363.6 mm with a runoff of 966.49 mm, which indicates a remarkable portion of rainfall contributing to channel water flow. Only 21.32 mm of groundwater recharge was calculated, while evapotranspiration was high at 229.8 mm. Annually, 16.84 mg/ha nutrient losses by crop were substantially high due to nitrate leaching and phosphorus runoff.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829154","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":"Biomonitoring of bisphenol A, S, and F in urine samples from children in Finland","authors":"Parinaz Poursafa,&nbsp;Jani Koponen,&nbsp;Panu Rantakokko,&nbsp;Ida Helotie,&nbsp;Meri Koivusalo","doi":"10.1007/s10661-026-15401-2","DOIUrl":"10.1007/s10661-026-15401-2","url":null,"abstract":"<div><p>Bisphenol A (BPA) and its analogues bisphenol S (BPS) and bisphenol F (BPF) are widely used in consumer products and linked to endocrine-disrupting effects. Young children may be especially vulnerable. This study assessed urinary concentrations of BPA, BPS, and BPF in Finnish children and evaluated health risks using biomonitoring guidance values and exposure modeling. First-morning urine samples were collected from 40 children aged 3–6 years in Tampere, Finland. BPA, BPS, and BPF were quantified using triple quadrupole mass spectrometry. Estimated daily intakes (EDIs) for BPA were derived using a physiologically based pharmacokinetic (PBPK) reverse dosimetry approach. Risk characterization was performed using Human Biomonitoring Guidance Values (HBM-GVs), interpreted in the context of the 2015 and 2023 EFSA tolerable daily intake values. BPA was quantifiable in 32.5% of samples and BPS in 15%, while BPF was not detected. Estimated BPA intakes (0.015–0.474 µg/kg bw/day) exceeded the 2023 EFSA TDI (0.2 ng/kg bw/day) by factors of 74–2,370. Under the updated TDI, all measured concentrations would exceed thresholds. For BPS, the maximum concentration (2.3 ng/mL) exceeded its HBM-GV (1 ng/mL), while no updated EFSA TDI is available. This study provides the first biomonitoring data on BPA, BPS, and BPF in Finnish children. BPA levels were lower than those reported in recent European studies, suggesting declining exposure trends. However, updated health-based benchmarks indicate that BPA intakes exceeded the 2023 EFSA TDI, while BPS levels exceeded its HBM guidance value. These findings highlight the need for continued biomonitoring and updated guidance values.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-026-15401-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829504","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":"Short-horizon PM2.5 forecasting from multi-station networks: a mask-aware, leakage-safe framework","authors":"Hiteshri Yagnik,&nbsp;Rajeev Gupta,&nbsp;Kanish Shah","doi":"10.1007/s10661-026-15365-3","DOIUrl":"10.1007/s10661-026-15365-3","url":null,"abstract":"<div><p>Accurate short-horizon forecasts of fine particulate matter (PM₂.₅) at station resolution are critical for advisories, clinical preparedness, and episodic controls. We offer a framework for multi-station PM₂.₅ forecasting over operational hourly networks that is safe against leaks and cognizant of masks. The pipeline puts stations on the same time axis, fills in only small gaps with linear interpolation, records a label mask where PM₂.₅ is actually seen, and limits outlier capping and normalization to the training split with per-station scalers. We make 12-h input windows from the cleaned tensors and estimate targets for all stations at the same time, one hour in the future. We compare a persistence baseline, per-station Random Forest and XGBoost, per-station LSTM/GRU, a multi-station RNN that shares information across sites, and spatio-temporal graph models (ST-GCN and a Chebyshev-GCN followed by LSTM) using a distance-informed station adjacency. Neural models are trained using masked MSE, and predictions are scaled back to their original values for each station before being tested. The GCN-LSTM model gets RMSE 22.90 μg/m³, MAE 12.29 μg/m³, R² 0.545, and CPCB band accuracy 64.6% on held-out periods. This is about 21% better than ST-GCN (29.03 μg/m³) and about 17% better than Random Forest (mean 27.69 μg/m³). It also matches XGBoost on RMSE (22.83 μg/m³, Δ≈0.3%) while improving MAE and band accuracy. The multi-station GRU also does better than the LSTM (RMSE 23.37 vs. 24.35 μg/m³). The framework is model-agnostic, reproducible, and deployable with only station CSVs and site coordinates. The framework requires simply station CSVs and site coordinates to be deployable, reproducible, and model-agnostic.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829463","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":"Comprehensive evaluation of air pollution at Zhenjiang port based on the un-weighted TOPSIS method","authors":"Minxue Zheng,&nbsp;Jingya Zhao,&nbsp;Zhen Ju,&nbsp;Tianyu Fu,&nbsp;Feng Jia","doi":"10.1007/s10661-026-15429-4","DOIUrl":"10.1007/s10661-026-15429-4","url":null,"abstract":"<div><p>Conventional TOPSIS approaches for comprehensive air pollution assessment are often constrained by their reliance on pre-assigned weights and high sensitivity to outliers. To address these limitations, an Un-weighted TOPSIS (UW-TOPSIS) method was applied to evaluate the air quality of Zhenjiang Port from September 2021 to September 2024 based on six criteria pollutants (PM_2.5, PM₁₀, SO₂, NO₂, CO, and O₃).Meanwhile, AHP-TOPSIS (incorporating expert-derived weights) and EW-TOPSIS (using entropy weight determination) were also employed for comparative analysis. Model performance was quantitatively evaluated against normalized Air Quality Index (AQI) scores using the relative error (<i>ε</i>). Analysis revealed that Zhenjiang Port's pollution was predominantly driven by PM₁₀ (37.93% of days) and PM_2.5 (36.75% of days), exhibiting a distinct seasonal pattern of winter highs and summer lows. Methodologically, AHP method yielded a combined weight of 0.6282 for PM, showing a pronounced bias, whereas the EW produced a more balanced weight structure (0.3334 combined) but was highly sensitivity to gaseous pollutants, particularly NO₂ and CO. Using July 2023 (low pollution) and January 2024 (high pollution) as representative periods, UW-TOPSIS demonstrated superior stability. During the low-pollution period, 68.75% of days exhibited <i>ε</i> &lt; 0.06 under UW-TOPSIS, outperforming AHP (54.84%) and EW (48.39%); during the high-pollution period, UW-TOPSIS maintained stability with only 32.3% 32.3% exceeded <i>ε</i> = 0.1, significantly outperforming AHP (64.5%) and avoiding the extreme error peaks (up to 0.463) observed in the EW method. Ultimately, AHP's reliance on subjective weighting amplified errors during shifts in pollution composition, while the EW method proved excessively sensitive to outliers, yielding volatile evalution outputs. By eliminating explicit weight assignment in favor of bounded weight constraints, UW-TOPSIS substantially enhanced stability and robustness. These findings confirm its reliability of UW-TOPSIS under multi-pollutant conditions, presenting a robust framework for developing composite pollution indices and the evaluating regional air quality management efficacy.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829468","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":"Source contributions and mechanisms underlying reduced precipitation acidity in the Lingang New Area of Shanghai","authors":"Aichun Chen,&nbsp;Huihui Zhang,&nbsp;Hanlin Sun,&nbsp;Xiaoxi Yang,&nbsp;Yifei Wang,&nbsp;Yanli Sun,&nbsp;Jiajun Han,&nbsp;Jingmiao Yu,&nbsp;Dong Zhang","doi":"10.1007/s10661-026-15409-8","DOIUrl":"10.1007/s10661-026-15409-8","url":null,"abstract":"<div><p>Dissolved sulfur dioxide (SO₂), nitrogen oxides (NO_x), and organic acids in precipitation can lower rainwater pH and affect ecosystems and infrastructure. Although precipitation acidity and acid rain frequency have declined in Shanghai in recent years, the factors driving this change remain insufficiently understood, especially in rapidly urbanizing coastal areas. In this study, precipitation samples were collected throughout 2024 in the Lingang New Area of Shanghai to investigate rainwater chemistry and the processes associated with reduced acidity. Major ions, dissolved organic carbon (DOC), and stable hydrogen and oxygen isotopes were analyzed, and enrichment factor (EF) analysis, together with positive matrix factorization (PMF), was applied to identify major sources and influencing processes. The volume-weighted mean pH was 5.65 (<i>n</i> = 52), and the acid rain frequency was 21.8%. Sulfate (SO₄²⁻) remained the dominant acidic ion, with a higher equivalent concentration than nitrate (NO₃⁻). PMF results showed different dominant source associations for sulfate and nitrate: nitrate was mainly associated with secondary aerosols linked to anthropogenic NOₓ emissions, whereas sulfate was more strongly associated with a processed marine aerosol factor, especially during humid periods. At the same time, neutralization by Ca²⁺-rich dust and NH₃-related inputs helped alleviate precipitation acidity. By combining source apportionment with isotope-based information on precipitation processes, this study provides new evidence that the reduction in precipitation acidity in the Lingang New Area during 2024 was jointly influenced by changes in anthropogenic emissions, coastal meteorological conditions, and neutralizing inputs.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829469","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":"Estimating soil organic carbon content in reclaimed mining areas using unmanned aerial vehicle multispectral remote sensing and deep learning algorithms","authors":"Qiuyue Li,&nbsp;Qinyi Liu,&nbsp;Zesheng Li,&nbsp;Xinju Li,&nbsp;Xiao Hu","doi":"10.1007/s10661-026-15406-x","DOIUrl":"10.1007/s10661-026-15406-x","url":null,"abstract":"<div><p>Soil organic carbon (SOC) is a key indicator for assessing soil quality. Rapid and accurate acquisition of the spatial distribution of SOC content can guide production management in reclaimed farmland in mining areas. This study takes the Xinglongzhuang Coal Mine in Yanzhou District, Jining City, as the study area, with reclaimed farmland SOC as the research subject. Based on unmanned aerial vehicle (UAV) multispectral remote sensing images and ground sampling point data, three sets of feature variables were constructed: a full variable set, a variance inflation factor (VIF) screened variable set, and a genetic algorithm (GA) screened variable set. Four deep learning algorithms, namely convolutional neural network (CNN), graph neural network (GNN), recurrent neural network (RNN), and transformer, are employed to construct a total of 12 SOC content estimation models. Based on the optimal estimation model CNN-GA, the model was optimized and improved by generating pseudo-reflectance samples through Kernel-SMOTE algorithm oversampling. The results indicate that (1) following variable selection through the use of GA, the accuracy of the majority of estimation models saw a significant improvement. (2) Among the four deep learning algorithms, the model constructed using the CNN algorithm achieved the highest accuracy. (3) CNN-GA-SMOTE was identified as the optimal estimation model, achieving an <i>R</i>² of 0.864 and RMSE of 0.827 g kg⁻¹ for the modeling set, with <i>R</i>² of 0.857 and RMSE of 0.796 g kg⁻¹ for the validation set. The SOC content of reclaimed farmland was estimated using this model, with an overall range of 7.53~13.40 g kg⁻¹. This study provides technical support for soil quality assessment in reclaimed mining areas.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829470","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":"Per- and polyfluoralkylated substances (PFAS) and other emerging contaminants in groundwater from central urban areas of São Paulo city, Brazil","authors":"Aluisio Soares,&nbsp;Reginaldo Antonio Bertolo,&nbsp;Mariana Amaral Dias,&nbsp;Luiz Guilherme Gomes Fregona,&nbsp;Jose Miguel Diaz Romero,&nbsp;Javier E. L. Villa,&nbsp;Cassiana C. Montagner","doi":"10.1007/s10661-026-15411-0","DOIUrl":"10.1007/s10661-026-15411-0","url":null,"abstract":"<div><p>The increasing demand for consumer products has led to the continuous introduction of novel substances into the environment. This contributes to contamination of environmental compartments and poses potential risks to human health. Many of these substances are classified as emerging contaminants and are detected at trace levels in various matrices, including groundwater. This study investigates the presence of emerging contaminants in shallow groundwater from a nonindustrial urban area potentially impacted by domestic wastewater, with an emphasis on per- and polyfluoroalkyl substances (PFAS). Twenty groundwater samples were collected in São Paulo city, Brazil, from older neighborhoods suspected of sewage collection system leakage, covering an entire hydrological cycle, that is, both dry and wet seasons. Samples were analyzed using liquid chromatography coupled with mass spectrometry (LC–MS/MS). PFAS were detected in concentrations ranging from 4.8 to 45.7 ng/L, with PFOS and PFOA being the most prevalent. Additionally, pesticides (1.1–736 ng/L), hormones (&lt; LOQ–8.0 ng/L), pharmaceuticals (2.9–255 ng/L), and industrial compounds (14.1–314 ng/L) were also quantified in the samples. Although these concentrations are considered background levels associated with diffuse sources, the findings highlight the need for more comprehensive studies to assess the occurrence, sources, and potential health impacts of emerging contaminants in groundwater systems.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-026-15411-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829557","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":"Spatial variability of soil attributes and risk of phosphorus loss in different soil classes of the Potengi River Basin, Brazil","authors":"José Arthur do Nascimento Ramalho,&nbsp;Karina Patrícia Vieira da Cunha,&nbsp;Matheus Natan Ferreira Alves de Sousa,&nbsp;Caio Victor Macêdo Pereira,&nbsp;Lara Fernandes de Medeiros,&nbsp;Carlos Wilmer Costa","doi":"10.1007/s10661-026-15402-1","DOIUrl":"10.1007/s10661-026-15402-1","url":null,"abstract":"<div><p>The spatial variability of soil attributes plays an important role in hydrological processes, soil fertility, and environmental conservation in tropical semiarid regions. Texture, organic matter (OM), and available phosphorus (P) directly influence nutrient dynamics and the risk of phosphorus export to water bodies. This study analyzes the spatial distribution of soil texture, OM, and P in different soil classes of the Potengi River Basin (PRB), assessing their relationship with weathering and phosphorus mobility. A total of 110 soil samples were collected from different pedological classes, following standardized physical and chemical analysis methods. The data were spatially interpolated using the IDW method in ArcMap 10.8, and statistical analyses, including correlation, principal component analysis (PCA), and two-way cluster analysis, were applied to identify distribution patterns. The results revealed a predominance of sandy soils, moderate OM levels, and high phosphorus content. PCA identified two soil groups: Group 1, composed of more developed soils with higher clay and OM content, and Group 2, consisting of less developed soils with a higher risk of phosphorus export. The negative correlation between P and clay content emphasized the influence of texture on nutrient retention and mobility. This study highlights the relevance of spatial analyses for soil quality assessment and provides essential insights for sustainable land management strategies aimed at mitigating diffuse phosphorus pollution in semiarid watersheds.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 5","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-026-15402-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829384","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}