Environmental Monitoring and Assessment最新文献

{"title":"Assessing urban CO2 emissions and sequestration potential: a case study of median strip trees in Baghdad","authors":"Al-Zahraa A. Mohsen,&nbsp;Asraa Khtan Abdulkareem","doi":"10.1007/s10661-025-14665-4","DOIUrl":"10.1007/s10661-025-14665-4","url":null,"abstract":"<div><p>Rapid population growth has led to increased concentrations of greenhouse gases, particularly carbon dioxide (CO₂), which contributes to rising temperatures. Trees are one of the most important tools for achieving carbon neutrality in cities. This study aims to evaluate the ability of trees planted in the median strip of Palestine Street in Baghdad to sequester CO₂ from vehicle traffic emissions, using the Carbon Sequestration Index (CSI). A traffic survey was conducted on weekdays and holidays, with daily averages of 100,015 and 60,009 vehicles. Estimated annual emissions were 11,970,241.66 kg/year, with a strong correlation between the number of vehicles and emissions (<i>r</i> = 0.91). The field tree survey included 103 individuals of four species, and annual sequestration was calculated based on their physical characteristics, amounting to only 3198.8 kg/year, reflecting a low CSI (0.000267). To address this imbalance, a scenario was proposed to improve afforestation by utilizing 182 unused tree pits and planting highly sequestration species. This resulted in a 176.7% increase in tree number and an additional sequestration of 874.6 kg/year of CO₂. The results confirm the importance of quantitative analysis in supporting urban vegetation planning decisions and promoting environmental sustainability in cities with high traffic density.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145256458","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":"Practical investigation of climate extremes and IDF curves under climate change with applications of SSP scenarios (case study: Silakhor Plain, Iran)","authors":"Ali Sharghi,&nbsp;Mehdi Komasi","doi":"10.1007/s10661-025-14568-4","DOIUrl":"10.1007/s10661-025-14568-4","url":null,"abstract":"<div><p>It is necessary to assess climate extremes under conditions of climate change to avoid irreversible damage caused by catastrophic events. This assessment is beneficial for developing mitigation strategies. The Coupled Model Intercomparison Project Phase 6 (CMIP6) models exhibit the latest advancements in climate change modeling. This study aims to project future variations of climate extremes in the Silakhor plain using a single general circulation model (GCM) considering two emission scenarios: SSP2-4.5 and SSP5-8.5. Climate extreme indices were extracted by downscaling outputs from GCMs using LARS-WG. This study incorporates a practical evaluation of climate extremes and intensity duration frequency (IDF) curves. It focuses on identifying peak over threshold temperatures that impact health and agriculture. It also conducts a detailed examination of the characteristics of wet spells. For sub-daily assessment of extreme precipitation, this paper addresses the challenge of extracting IDF curves from daily LARS-WG data by driving Bell’s equation for study aria. The projections suggest a higher intensity across all climate extremes except for frost waves. Heatwaves showed a potential increasing trend in duration and intensity across all scenarios, reaching critical red Lines for health and agriculture. The frequency of wet spells is projected to decline under all scenarios. Nevertheless, the near-future projections showed that the probability and intensity of shorter wet spells have increased by 3.2% and 1.6 <span>(left(mathrm{mm}/mathrm{day}right))</span> under the SSP5-8.5 scenario, respectively. IDF curves shifted in favor of increasing the intensity of sub-daily extreme precipitation. The results also reinforce the theory that the intensity of all tested climate extreme indices are sensitive to the amount of greenhouse gas emissions in each scenario.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145256521","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":"High-resolution agricultural drought hazard mapping using the potential of geospatial data and machine learning approaches","authors":"Ujjal Senapati,&nbsp;Aman Srivastava,&nbsp;Rajib Maity","doi":"10.1007/s10661-025-14538-w","DOIUrl":"10.1007/s10661-025-14538-w","url":null,"abstract":"<div><p>Effective delineation of Agricultural Drought Hazard (ADH) zones is crucial for mitigating crop losses and ensuring water security in semi-arid regions. Conventional agricultural drought assessment methods, reliant on single-index approaches or static multi-criteria frameworks, struggle to capture the non-linear interactions between geo-environmental drivers that govern drought severity in semi-arid, rainfed basins. This study introduces a Machine Learning (ML)-geospatial framework integrating satellite-derived indices with soil-hydrological parameters to overcome the limitations of conventional drought assessment methods. Four popular ML models, Random Forest (RF), Artificial Neural Network (ANN), Support Vector Machine (SVM), and Adaptive Regression (AR), are utilized for this purpose, considering eight geo-environmental input variables. Model performance was rigorously evaluated in the Upper Dwarakeshwar River Basin (UDRB), a drought-prone, rainfed catchment in eastern India, using a suite of standard statistical approaches. The RF model excelled with a 97.8% area under the curve-receiver operating characteristic (AUC-ROC) curve and root mean square error (RMSE) of 0.26, followed by the SVM model (94.6%, 0.28). The ANN model, too, yielded promising results (93.8%, 0.32), while the AR model exhibited the least performance (90.0%, 0.31). Based on the outputs from all four ML models, ADH mapping for UDRB revealed that 24.85–44.35% of its area was identified as very high and 16.96–22.86% as high ADH regions. From a practical application point of view, the findings of this study and ADH maps are helpful in various aspects, ranging from early drought warning to emergency preparedness, advancing precision agriculture in rainfed basins, where 60–80% of livelihoods depend on climate-vulnerable farming.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145256292","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":"Design and application of a new 24-h water sampler for monitoring particulate and dissolved road pollutants","authors":"Katie McKenzie,&nbsp;Angela Pllu,&nbsp;Iain Campbell,&nbsp;Siobhan Anderson,&nbsp;Linda A. Lawton,&nbsp;Bruce Petrie","doi":"10.1007/s10661-025-14671-6","DOIUrl":"10.1007/s10661-025-14671-6","url":null,"abstract":"<div><p>Road pollution is a threat to aquatic ecosystems globally. Road runoff contains a mixture of particulate (e.g. tyre and road wear particles (TRWPs), road lining paint fragments and microplastics) and ‘dissolved’ pollutants (e.g. leached tyre and plastic additive chemicals). There is a lack of sampling approaches, however, for collection of particulate and dissolved pollutants which avoids transport of large volumes of water needed for particulate analysis and minimises sample contact with plastic materials. Therefore, the aim was to develop a new stainless-steel 24-h portable sampler for in situ isolation of particulates from a large sample volume (&gt; 10 L) and simultaneous collection of water for additive chemical analysis. This was achieved using readily available materials (battery powered peristaltic pump, stainless-steel refuse vessel, sieves etc.) and at &lt; 50% of the cost of commercially available plastic bodied composite samplers. The newly designed sampler was applied in the field to monitor pollutants entering a retention pond from a road drainage system. Particle concentrations &gt; 50 µm in length were 25.5, 13.7 and 2.0 particles/L for TRWPs, paints and microplastics, respectively, with most (89%) in the 50–99-µm size range. Five additive chemicals were also determined in the collected water (1H-benzotriazole, 5-methylbenzotriazole, hexamethoxymethylmelamine, 1,3-diphenylguanidine and 1-cyclohexyl-3-phenylurea) at concentrations up to 0.18 µg/L. This new sampler has demonstrated to be effective for the simultaneous monitoring of particulate and dissolved road pollutants in water. Its ease of construction, limited plastic usage and low cost make it an attractive alternative to existing sampling methods for monitoring road pollution.\u0000</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-14671-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145256265","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":"Distribution and climatological trajectories of plastic debris released from the major rivers along the east coast of India using the Lagrangian particle tracking model","authors":"M. Pruthvi Raju,&nbsp;V. Suneel,&nbsp;S. Veerasingam,&nbsp;P. Suneetha,&nbsp;Surireddi Satya Venkata Siva RamaKrishna","doi":"10.1007/s10661-025-14670-7","DOIUrl":"10.1007/s10661-025-14670-7","url":null,"abstract":"<div><p>Marine plastic pollution predominantly originates from rivers, yet the extent of its return to shorelines remains uncertain. This study employs a Lagrangian particle tracking model to simulate the trajectories of plastic debris discharged from the Ganges, Brahmaputra, Godavari, and Krishna rivers along India’s east coast. Seasonal simulations were conducted for four periods pNEM (January–February), PreM (March–May), SWM (June–September), and NEM (October–December) using windage factors of 1%, 3%, and 5% to represent various plastic particle types. Results indicate that the highest deposition of riverine plastic occurs along the east coast of India during NEM (28.2–30%), highlighting its vulnerability to plastic accumulation. Increased windage led to greater deposition, underscoring the role of wind-driven transport. Krishna and Godavari rivers exhibited peak deposition (46% and 42%) during PreM, while the Ganges contributed ~ 42% during NEM. The Brahmaputra had the lowest deposition rates. Ocean currents transported plastic from the Godavari and Krishna rivers northward during PreM and SWM, while winds and Stokes drift pushed Ganges and Brahmaputra particles southwestward in pNEM and NEM. These findings emphasize seasonal variations in plastic transport and inform coastal management strategies to mitigate pollution along the east coast of India.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145256291","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":"Effect of tricyclazole aging in soils on its uptake in rice seedlings","authors":"Renu Saini,&nbsp;Garima Sethi,&nbsp;Dhruba Marak,&nbsp;Tirthankar Banerjee,&nbsp;Rajesh Kumar,&nbsp;Neera Singh","doi":"10.1007/s10661-025-14648-5","DOIUrl":"10.1007/s10661-025-14648-5","url":null,"abstract":"<div><p>Uptake of tricyclazole from two rice growing soils, viz. clay loam and sandy loam, aged for different time duration, was evaluated in a 2-year study (2023 and 2024). Both soils were treated with tricyclazole at ~ 2 µg/g levels and were aged at room temperature. Uptake of tricyclazole from aged soils was studied under phytotron in rice (<i>var</i>. Pusa Basmati 1121) after 15-days in 2023 study and 15/30 days in 2024 study. Results suggested that uptake of tricyclazole was maximum from freshly treated soils (0 day) and corresponded to 1.37–1.66% (clay loam) and 1.55–1.87% (sandy loam). Tricyclazole uptake from soils decreased with increase in duration of ageing. Uptake was more from sandy loam soil than clay loam soil. Lesser amounts of tricyclazole were recovered from 30-day-old seedlings than 15-day-old seedlings suggesting degradation of tricyclazole in rice seedlings. During ageing tricyclazole degraded following a biphasic dissipation pattern where degradation was slower till 90 days and faster afterword. The average half-life of tricyclazole varied from 67.9 to 78.9 days (clay loam) and 48.0 to 62.9 days (sandy loam). Study suggested that soil’s properties, combined with the aging process, affected bioavailability and subsequent uptake of tricyclazole.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145256295","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 wild freshwater bivalves as alternative sentinel species in Canadian Environmental Effects Monitoring (EEM)","authors":"C. L. Proulx,&nbsp;B. W. Kilgour,&nbsp;E. Petelina,&nbsp;S. Benson","doi":"10.1007/s10661-025-14661-8","DOIUrl":"10.1007/s10661-025-14661-8","url":null,"abstract":"<div><p>The Canadian Environmental Effects Monitoring (EEM) program assesses whether mines in compliance with effluent regulations are associated with environmental impacts to fish populations, fish habitat, and fisheries resources. The EEM’s fish population survey assesses indicators of survival (age), energy use (growth and gonad size), and energy storage (condition and liver size) using at least two sentinel species collected from a minimum of one exposure area and one reference area for statistical comparison. If a standard fish population survey is not feasible, proponents are required to implement a recognized alternative survey methodology that will produce data on the required endpoints. The McClean Lake Operation in Saskatchewan completed an assessment of wild bivalve populations (Sphaeriidae) as an alternative to the conventional fish population survey for its Phase 6 EEM program. The purpose of this paper is to describe the novel methods and results associated with this wild bivalve survey. Two species of fingernail clam (<i>Sphaerium nitidum</i>, <i>Pisidium casertanum</i>) were collected with minimal effort (2 days’ effort) from both the reference and exposure areas in sufficient numbers for statistical robustness. Measures of survival, energy use, and energy storage were derived from the collections. Those data were deemed by the regulating agencies to meet the requirements of the EEM program under Canada’s Metal and Diamond Mining Effluent Regulation (MDMER). Laboratory analysis required specialized equipment including a microbalance that could weigh to 1 µg and a muffle furnace. The effort associated with the viable alternative method was similar to that of a conventional adult fish population survey.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145256522","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":"PCA-PMF combined approach for source identification and risk quantification of heavy metals in legacy mining agricultural soils","authors":"Lanlan Zhang,&nbsp;Zhenming Zhang,&nbsp;Guiting Mu,&nbsp;Wen Hu,&nbsp;Linfeng He","doi":"10.1007/s10661-025-14621-2","DOIUrl":"10.1007/s10661-025-14621-2","url":null,"abstract":"<div><p>To investigate the heavy metal contamination in cultivated soils resulting from uncultivated coal mining activities, this study focused on paddy fields, vegetable plots, and uncultivated lands within the Yudong River Basin. Concentrations of six heavy metals—mercury (Hg), manganese (Mn), cadmium (Cd), arsenic (As), chromium (Cr), and lead (Pb)—were measured in the soil. Pollution index evaluation, positive matrix factorization (PMF), and health risk assessment were employed to analyze contamination characteristics, identify sources, and assess ecological and health risks. The results indicated that the mean concentrations of Hg and Cd in paddy soils were 0.15 and 1.15 mg·kg⁻¹, respectively; Cd in vegetable soils averaged 0.72 mg·kg⁻¹; and Hg in uncultivated lands was 0.14 mg·kg⁻¹. Source apportionment revealed that the six heavy metals in the cultivated soils primarily originated from natural sources, mixed agricultural and traffic activities, and industrial activities. Ecological risk assessment identified Hg and Cd as the major ecological risk factors. Health risk evaluation indicated that As in both paddy and vegetable soils represents the primary health risk factor. This study provides valuable insights for assessing heavy metal pollution in cultivated soils affected by uncultivated coal mines, supporting the development of remediation strategies, and evaluating the impact on local agricultural practices.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145249267","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":"Analyzing water quality monitoring data of environmentally protected water bodies","authors":"Thais de Alencar Cândido,&nbsp;Sintya Soares Porfirio,&nbsp;Karisia Sousa Barros de Lima Silva,&nbsp;Amanda da Silva Cardoso Urcezino","doi":"10.1007/s10661-025-14605-2","DOIUrl":"10.1007/s10661-025-14605-2","url":null,"abstract":"<div><p>Preserving water quality is fundamental for public health and ecosystem sustainability. This study presents a comprehensive environmental assessment of the Maranguapinho River and four urban lagoons—Parangaba, Maraponga, Messejana, and Mondubim—in Fortaleza, Brazil, examining the influence of land use and seasonal variation on water quality. A total of 16 physicochemical and microbiological parameters were analyzed, including pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), total Kjeldahl nitrogen (TKN), total phosphorus (P), turbidity, sulfate (SO₄²⁻), sulfide (S²⁻), total iron (Fe), copper (Cu), cadmium (Cd), lead (Pb), chromium (Cr), nickel (Ni), zinc (Zn), and thermotolerant coliforms. Spatial analysis revealed contrasting urbanization levels, with the Maranguapinho River surrounded by less developed areas and the lagoons embedded in more urbanized zones. Although pH values remained within legal limits (6.00 to 8.71), DO concentrations fell below the regulatory threshold (5.0 mg L⁻¹) at over half of the sampling sites during the rainy season, with the lowest value (3.2 mg L⁻¹) recorded at a point along the Maranguapinho River. The Maranguapinho River exhibited multiple exceedances of environmental standards, particularly for S²⁻ (1.6 mg L⁻¹), total Fe (1.2 mg L⁻¹), Cd (0.002 mg L⁻¹), and Cr (0.42 mg L⁻¹, below the 0.5 mg L⁻¹ limit but still elevated). In addition to the river, several lagoons also showed values above the recommended limits, with biochemical oxygen demand (BOD) reaching 18.5 mg L⁻¹ in Maraponga Lagoon, exceeding the limit of 5.0 mg L⁻¹. The results underscore the cumulative impact of urbanization and seasonal dynamics on water quality, revealing widespread exceedances of regulatory thresholds for nutrients, metals, and microbial contaminants. The findings highlight the urgent need for integrated urban planning, improved waste management, and sustainable water resource governance to protect aquatic ecosystems in rapidly developing urban regions.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145249265","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":"Distribution and accumulation of trace elements in ecosystem components of the Tula Region, Russia, in the case of natural high Sr level conditions","authors":"P. S. Nekhoroshkov,&nbsp;A. V. Pakhnevich,&nbsp;I. I. Zinicovscaia,&nbsp;A. A. Peshkova,&nbsp;N. S. Yushin","doi":"10.1007/s10661-025-14617-y","DOIUrl":"10.1007/s10661-025-14617-y","url":null,"abstract":"<div><p>The natural excess of Sr due to unusual geological features could affect the elemental composition of the biota. This geochemical basis should be studied to analyze the possible biological accumulation and contribution in the natural protected areas and anthropogenic zones. The content of 15 elements (Al, P, S, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Sr, Cd, Ba, Pb) was determined in different components of protected areas characterized by high levels of natural strontium of rock-material origin and subjected to agricultural activity. Three key zones in the Tula region were selected due to their elevated natural strontium concentrations in surface waters and parent rocks. The content of elements in water, soils, surface sediments, organisms-biomonitors (buttercup <i>Ranunculus repens</i>), and freshwater bivalve shells was determined by means of inductively coupled plasma optical emission spectroscopy. Samples were collected from multiple sites within each studied zone. The bioaccumulation factors revealed the selectivity of buttercup in uptake of such elements as Sr, Ba, and essential P and S. The coupled accumulation of elements in bivalve shells and buttercups suggests biochemical mechanisms that reduce the uptake of other lithogenic (Al, V, Cr, Fe) and anthropogenic elements (Co, Ni, Cu, Zn, Cd, Pb). The calculated high values of environmental indices (bioaccumulation factors, pollution load and summarized soil pollution indices, enrichment factors) revealed the high accumulation of Sr and other lithogenic elements such as Al, V, Cr, and Co in the environmental components from the second studied zone of Bolsheberezovskoe floodplain swamp on Nepryadva River and near celestine outcrops from the first zone on the Mokraya Tabola River. At the same time, the high bioaccumulation of Sr, P, and S in plants on the second studied zone was found. The affinity for low-volatile elements (Al, V, and Fe) indicated a significant lithogenic contribution. It also revealed the higher contents of Sr and Ba near celestine outcrops (due to specific geological conditions) and higher Cd contents at a site associated with agricultural activity. This accumulation is agreed with calculated bioaccumulation and substrate enrichment levels. This study will be continued further to study the other local sources and their distribution along the river valleys in the other regions.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145256346","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}