Abel Veloso, Vera Silva, Esperanza Huerta Lwanga, Nicolas Beriot, Maria do Carmo Horta, Maria Paula Simões, Violette Geissen
{"title":"Tracking the source of microplastics in soil—an exploratory case study in peach orchards from east-central Portugal","authors":"Abel Veloso, Vera Silva, Esperanza Huerta Lwanga, Nicolas Beriot, Maria do Carmo Horta, Maria Paula Simões, Violette Geissen","doi":"10.1007/s10661-025-14072-9","DOIUrl":"10.1007/s10661-025-14072-9","url":null,"abstract":"<div><p>In the last 20 years, world plastic production has increased rapidly, reaching 4.00 × 10<sup>11</sup> kg in 2022. However, less than 10% was recycled. Moreover, most conventional plastics are persistent and, therefore, remain in the environment long after their release. Although most studies on microplastic contamination focus on a single environmental compartment, an integrated and multicompartment approach is highly recommended considering the multitude of interactions between those compartments. This study addresses this knowledge gap, investigating the presence and potential sources of microplastics (MP) in agricultural soils under typical conditions of the Mediterranean region, characterised by dry summers and relatively moist and mild winters (Csa according to the Köppen-Geiger classification). For this, 19 orchards from east-central Portugal were used as case study sites, and a total of 111 samples were analysed. Soil content in MP was assessed in 3 soil layers (0–5, 5–15 and 15–25 cm). To quantify potential sources to soil, information from farmers was used, and samples from irrigation water, atmospheric deposition and manure were analysed. Optical assessment with the assistance of a stereomicroscope was used for MP quantification. The 0–5 cm soil layer showed a lower content (average of 2.2 particles·g<sup>−1</sup>) and higher particle sizes (average of 168 µm) than deeper soil layers. The identified sources contributed with 1.02 × 10<sup>5</sup> particles·m<sup>−2</sup>·year<sup>−1</sup>. Irrigation water was the main source, representing 55.9% of the aforementioned input rate encountered for the 3 identified MP sources. Additional knowledge is needed regarding the possible variation in MP content throughout the year and between years and the polymer identification, not only in samples collected from soil but also from its main contamination sources. Furthermore, this study should be extended to other crops and regions as part of broader soil health monitoring.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-14072-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929927","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}
Shama E. Haque, Nazmun Nahar, Nafisa N. Chowdhury, Lameesa Gazi-Khan, Tasriba K. Sayanno, Md. Abdul Muktadir, Md. Sazzadul Haque
{"title":"Identification of recycling potential of construction and demolition waste: challenges and opportunities in the Greater Dhaka area","authors":"Shama E. Haque, Nazmun Nahar, Nafisa N. Chowdhury, Lameesa Gazi-Khan, Tasriba K. Sayanno, Md. Abdul Muktadir, Md. Sazzadul Haque","doi":"10.1007/s10661-025-14081-8","DOIUrl":"10.1007/s10661-025-14081-8","url":null,"abstract":"<div><p>In the past five decades, Dhaka city, the capital of Bangladesh experienced urbanization in an unprecedented manner. The city has grown spatially in all directions to accommodate the urban population that resulted in accelerated growth of the construction and demolished floor areas in Dhaka and its surroundings, commonly known as the Greater Dhaka. As a result, the quantities of construction and demolition waste have increased significantly within this region. Through an onsite field investigation of 21 construction and 12 demolition project sites in Greater Dhaka, the study identified the waste generation rate to be approximately 463.67 kg and 90.31 kg per m<sup>2</sup> floor area of demolition and construction projects, respectively. Projection based on this waste generation rate; the annual waste amount has been calculated for the eight districts of the Greater Dhaka region. The recycling potential identified through this study also estimated the economic benefits of the studied construction and demolition waste (CDW) materials for these eight districts for years 2022 to 2030. The findings of the present study are expected to assist the relevant stakeholders and policymakers to devise business development and legislative measures for the successful implementation of the sustainable waste management plan for the construction industry.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-14081-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929925","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":"Mapping anthropogenic pressure in the Brahmani-Baitarani River Basin: a PCA-based approach","authors":"Dibya Jyoti Mohanty, Jajnaseni Rout","doi":"10.1007/s10661-025-14088-1","DOIUrl":"10.1007/s10661-025-14088-1","url":null,"abstract":"<div><p>This study presents a robust objective methodology for assessing and mapping anthropogenic pressure in the Brahmani-Baitarani River Basin (BBRB) through an objective principal component analysis (PCA)–based approach. Nine key stressors—Aerosol Trend (AERT), Degree of Urbanization Change (DUC), Land Use/Land Cover Change (LULCC), Normalized Difference Moisture Index Trend (NDMIT), Normalized Difference Vegetation Index Trend (NDVIT), Observed Minus Reanalysis Temperature (OMR), Nightlights Change (NLC), Population Count Change (PPC), and Water Balance Trend (WBT)—were used to construct a composite pressure index. These stressors were selected based on their direct link to human-induced environmental modifications. The datasets, spanning from 2000 to 2023, were preprocessed and normalized to ensure comparability. The suitability of the dataset for PCA was confirmed through the Kaiser–Meyer–Olkin (KMO = 0.61) and a significant Bartlett test (<i>χ</i><sup>2</sup> = 378037, <i>p</i> < 0.01). PCA was applied to determine variable weightings, reducing redundancy and highlighting dominant stressors, with OMR, DUC, and LULCC contributing the highest weights. The final composite anthropogenic pressure raster (CAPR) was generated with index ranging from 9 to 78%. Spatial analysis reveals significant variations in anthropogenic pressure, with towns such as Byasanagar and Lohardaga experiencing very high mean anthropogenic pressures (~ 50%). Conversely, regions like Deogarh, Gua, and Kiriburu exhibit relatively very low anthropogenic pressures (~ 20%). Further, the CAPR was grouped into 7 categories based upon natural breaks in the data and pseudo-<i>F</i>-statistics-based elbow test, providing a clear representation of the spatial distribution of anthropogenic impacts, serving as a critical tool for sustainable management and policy formulation.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925583","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}
Changming Yang, Shuhan Ding, Yangdan Niu, Xiang Zhang, Jianhua Li
{"title":"Characteristics of macrobenthic communities and their response to environmental changes in East Taihu Lake, China","authors":"Changming Yang, Shuhan Ding, Yangdan Niu, Xiang Zhang, Jianhua Li","doi":"10.1007/s10661-025-14084-5","DOIUrl":"10.1007/s10661-025-14084-5","url":null,"abstract":"<div><p>East Taihu Lake watershed has complex water functional areas; though it is small, human activities on the East Taihu Lake watershed environment interference are relatively strong. In this study, we investigated the diversity of macrobenthic communities and analyzed the pivotal environmental factors affecting alterations in the macrobenthic communities of East Taihu Lake. This analysis was augmented by controlled laboratory simulation experiments designed to elucidate and validate the responses of critical indicator species within various functional areas to environmental shifts. This study showed that (1) 28 species of macrobenthos were collected in the study area, belonging to 3 phyla, 6 orders, 13 orders, 18 families, and 25 genera. The mean values of annual macroinvertebrate density and biomass were 70.93 ± 42.92 ind/m<sup>2</sup> and 50.99 ± 36.50 g/m<sup>2</sup>. <i>Bellamya purificata</i>, <i>Limnodrilus</i>, and <i>Tubifex</i> were the dominant species on a year-round scale. Water depth and sediment water content were the most important environmental factors affecting the macrobenthic communities; (2) simulation experiments revealed that the growth condition of <i>Bellamya</i> was significantly worse in the simulated entrance area than in the simulated original enclosure aquaculture and wetland areas. The growth of <i>Radix auricularia</i> was significantly better in the presence of aquatic plants than in the absence of plants, and was more significantly influenced by environmental factors closely related to aquatic plants. The densities of annelids were significantly higher in the treatment group without plants than in that with plants, generally showing the growing trend of the simulated original enclosure aquaculture area > the simulated entrance area > the simulated wetland area. The results of the study support an aquatic revegetation strategy dominated by submerged plant restoration, and recommend water level regulation in shallow lake areas to reduce the impact of water level fluctuations on benthic habitats.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925584","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":"UAV-based water pollutants detection and classification framework using multi-modal and multi-sensor ensemble learning","authors":"Hari Chandana Pichhika, Raja Vara Prasad Yerra","doi":"10.1007/s10661-025-14104-4","DOIUrl":"10.1007/s10661-025-14104-4","url":null,"abstract":"<div><p>The massive increment in water pollutants due to the release of plastic, industrial, and household waste has threatened the delicate balance of ecosystems and the well-being of human life. Therefore, detection and monitoring of such water pollutants have become an essential task for the widespread and open surface water bodies. Recent advancements in UAVs with Computer Vision (CV) models and communication technologies have given the scope to automate the process of pollutant monitoring in such surface water bodies, minimizing human intervention. This paper presents a comprehensive framework integrating UAVs for autonomous data collection and pollutant classification. The customized YOLOv5 model is utilized for both the classification and detection of water pollutants, enhancing efficiency and accuracy. Moreover, we propose a multi-modal feature extraction module that uses Vision Transformer (ViT), YOLOv5, and NodeMCU sensors to create a comprehensive data representation. The extracted features are then classified using an ensemble model combining TabNet and XGBoost, improving the overall classification performance. An image dataset for water pollutant detection has been prepared using video sequences captured by a UAV-based camera at different zoom levels and altitudes. The results show that the proposed model performed better than the MobileNet, YOLOv4, YOLOv5s, and YOLOv8 in terms of both the response time and the mAP of (<span>(94.7%)</span>) for Algae, (<span>(96.7%)</span>) for trash, and (<span>(94.3%)</span>) for the classification of pollutants of multi-classes. This work aims to advance the deployment of UAVs for environmental monitoring, providing an efficient and scalable solution for water pollutant detection.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925585","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}
Sharmilla Antonieta Favero Streit, Marco Aurélio Rotta, Jhony Lisboa Benato, Rômulo Batista Rodrigues, Úrsula da Silva Morales, Danilo Pedro Streit Jr.
{"title":"Methods for greenhouse gas emission accounting in inland aquaculture: a systematic review","authors":"Sharmilla Antonieta Favero Streit, Marco Aurélio Rotta, Jhony Lisboa Benato, Rômulo Batista Rodrigues, Úrsula da Silva Morales, Danilo Pedro Streit Jr.","doi":"10.1007/s10661-025-14083-6","DOIUrl":"10.1007/s10661-025-14083-6","url":null,"abstract":"<div><p>This study systematically reviews methodologies for greenhouse gas (GHG) emissions accounting in inland aquaculture, focusing on their applicability to carbon footprint assessments. Aquaculture, as a critical component of global food production, faces growing investigation over its environmental impacts. The review identifies and evaluates two primary GHG measurement methods—floating static chambers and sediment analysis—against four criteria: flexibility, accessibility, precision, and ease of implementation. A comprehensive feasibility analysis indicates that while floating static chambers offer greater adaptability and simplicity, sediment analysis delivers higher precision, albeit with increased operational complexity. The study highlights the need for standardized functional units, recommending CO₂-equivalent emissions per kilogram of fish or edible meat produced as the most appropriate metric. Although each method has limitations, their integration can enable a more holistic approach to GHG accounting in aquaculture systems. By promoting accurate, scalable, and context-specific tools, this research emphasizes aquaculture’s potential to become a low-carbon, sustainable source of protein, capable of meeting global nutritional demands while minimizing environmental impacts.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929897","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 microplastic contamination in compost leachate: insights from a municipal compost plant in Isfahan, Iran","authors":"Leila Gheisari, Karim Ebrahimpour, MohammadMehdi Fowzi, Hamidreza Pourzamani","doi":"10.1007/s10661-025-14079-2","DOIUrl":"10.1007/s10661-025-14079-2","url":null,"abstract":"<div><p>The increasing production of waste has become one of the major environmental challenges of our time, particularly in waste management. While the composting process can transform municipal waste into a valuable product, the presence of plastics and microplastics (MPs) (< 5 mm) in the waste and their integration into the final compost and leachate pose significant environmental concerns. This is the first study to analyze the abundance of MP in the compost leachate from one of the Isfahan compost plant (S1), located in one of Iran’s major cities with high population density, during the summer season. MPs were counted using a stereomicroscope, and fourier transform infrared spectroscopy (FTIR) was utilized to identify polymer types. The results revealed an average abundance of MPs in the S1 leachate during the summer of 992.66 ± 100.85 items/L. Over 62% of the MPs identified in this study fell within the 1000–5000 μm size range, with a concentration of 610.28 ± 59.26 items/L. Polystyrene and polyamide emerged as the most frequently identified polymers (18.46% and 16.8%), and fragments were the most commonly observed shape among the MPs. This study underscores that compost leachate contains high concentrations of MPs that can disseminate into various environmental compartments such as groundwater, surface water, soil, and even air. Consequently, compost leachate should be recognized as a significant source of MPs entering the environment.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919203","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}
Shanchuan Zhe, Wenjie Li, Yu Wan, Li Wang, Hongbo Du, Yi Xiao, Shengfa Yang
{"title":"Dynamic response of fish community to hydrologic regime alteration in the upper reaches of the Yangtze River","authors":"Shanchuan Zhe, Wenjie Li, Yu Wan, Li Wang, Hongbo Du, Yi Xiao, Shengfa Yang","doi":"10.1007/s10661-025-14068-5","DOIUrl":"10.1007/s10661-025-14068-5","url":null,"abstract":"<div><p>This study investigates the impacts of hydrological regime alterations on fish community structure and ecological types in the Yibin section of the Yangtze River. Utilizing eDNA metabarcoding data from 2021, combined with historical records, the study offers a comprehensive analysis of fish community structure, structural evolution, and shifts in dominant species. The Indicators of Hydrologic Alteration—Range of Variability Approach method (IHA-RVA) was applied to calculate the degree of hydrologic alteration after the dam impoundment. Then, the Spearman correlation method is used to identify a number of key indicators driving shifts in species composition. Results indicate that fish species richness increased during the early impoundment phase of the Three Gorges Dam, corresponding with rising water levels. However, following the operation of the Xiangjiaba Dam, species richness began to decline. The traditionally dominant Cyprinidae family has diminished in prevalence, while taxonomic diversity and community complexity have increased. Rheophilic species remain dominant, though the proportion of limnophilic species has risen, now constituting nearly 50% of the total species composition. Altered hydrological conditions, particularly increased long-term dry season flow, have emerged as key drivers of changes in fish community structure. These findings provide crucial insights for the conservation of fish resources in the upper Yangtze River and the ecological management of the Jinsha River cascade dams.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919272","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}
Mohammad Abdullah Alolayan, Litty Mary Abraham, Ashraf Azmi Ramadan
{"title":"Fate and speciation of NOx in an arid climatic region: factors assessment","authors":"Mohammad Abdullah Alolayan, Litty Mary Abraham, Ashraf Azmi Ramadan","doi":"10.1007/s10661-025-14077-4","DOIUrl":"10.1007/s10661-025-14077-4","url":null,"abstract":"<div><p>NO and NO<sub>2</sub> continuously recycle in the lower atmosphere through a complex series of reactions involving NO, VOCs, NO<sub>2</sub>, and O<sub>3</sub>. Therefore, the NO<sub>2</sub>/NO<sub>x</sub> ratio can be utilized in dispersion models as an important substitute to understand the fate of NO and NO<sub>2</sub> in the atmosphere. In this work, random forest regression was used to analyze the significance of meteorological parameters that affect the prediction of the NO<sub>2</sub>/NO<sub>x</sub> in Kuwait’s three distinct regions—rural, urban, and industrial for the years 2004 to 2014, where different sources of pollution are present in each of these areas. The NO<sub>2</sub>/NO<sub>x</sub> ratio did not change much over time for all the studied locations. The measured mean NO<sub>2</sub> concentration in the urban regions is two times higher than that in the industrial area, implicating vehicular sources as the major contributor to air pollution compared to stationary sources. The coefficient of determination for NO<sub>2</sub>/NO<sub>x</sub> for the four monitoring stations ranged between 0.62 and 0.81. Results indicate that although extreme temperature and intense solar radiation conditions are prominent in each of these areas, wind speed is the relatively important feature that significantly affects the NO<sub>2</sub>/NO<sub>x</sub> ratio in urban areas.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-14077-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925482","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":"Investigation of natural radionuclide and associated radiological parameters of selected construction materials used in Nepal","authors":"Devendra Raj Upadhyay, Buddha Ram Shah, Suffian Mohamad Tajudin, Raju Khanal","doi":"10.1007/s10661-025-14099-y","DOIUrl":"10.1007/s10661-025-14099-y","url":null,"abstract":"<p>The present study investigated the natural radioactivity levels of <span>(^{226})</span>Ra, <span>(^{232})</span>Th, and <span>(^{40})</span>K in various construction and building materials commonly used in Central Nepal, expressed in Bq kg<span>(^{-1})</span>, and analyzed the associated 13 radiological parameters for the evaluation of risks. Activity concentrations were determined using a thallium-activated sodium iodide crystal NaI(Tl) 3”<span>(times )</span>3” scintillator detector. Multivariate statistical analysis was used to discern trends and depict the data. Among the material studied, granites, sand, and bricks exhibited concentrations and associated radiological parameters that exceeded world average. However, remaining aggregate, cement, concrete bricks, marble, and tiles showed activity concentrations and hazard indices comparable to or lower than the global average value reported by UNSCEAR, 1993 for building materials. The overall revealed mean ± S.D. concentration of <span>(^{226})</span>Ra, <span>(^{232})</span>Th and <span>(^{40})</span>K across 41 different materials as 43.2 ± 1.0 Bq kg<span>(^{-1})</span>, 56.8 ± 1.4 Bq kg<span>(^{-1})</span>, and 281.1 ± 5.3 Bq kg<span>(^{-1})</span>, respectively. The average values <span>(^{226})</span>Ra, <span>(^{232})</span>Th were above the world population average values of 50 and 50 Bq kg<span>(^{-1})</span> whereas the concentration of <span>(^{40})</span>K was well below the average value 500 Bq kg<span>(^{-1})</span> respectively. From this, it is concluded that the studied samples are safe to use. However, regulations are needed to evaluate the natural activity concentrations of radionuclides in geologically derived samples and the associated health implications related to materials utilized from the internal resources of the country and imported materials from a different country.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919201","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}