Environmental Monitoring and Assessment最新文献

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Spatiotemporal analysis of land surface temperature and land cover changes in Prešov city using downscaling approach and machine learning algorithms
IF 2.9 4区 环境科学与生态学
Environmental Monitoring and Assessment Pub Date : 2025-01-03 DOI: 10.1007/s10661-024-13598-8
Anton Uhrin, Katarína Onačillová
{"title":"Spatiotemporal analysis of land surface temperature and land cover changes in Prešov city using downscaling approach and machine learning algorithms","authors":"Anton Uhrin,&nbsp;Katarína Onačillová","doi":"10.1007/s10661-024-13598-8","DOIUrl":"10.1007/s10661-024-13598-8","url":null,"abstract":"<div><p>In recent decades, global climate change and rapid urbanization have aggravated the urban heat island (UHI) effect, affecting the well-being of urban citizens. Although this significant phenomenon is more pronounced in larger metropolitan areas due to extensive impervious surfaces, small- and medium-sized cities also experience UHI effects, yet research on UHI in these cities is rare, emphasizing the importance of land surface temperature (LST) as a key parameter for studying UHI dynamics. Therefore, this paper focuses on the evaluation of LST and land cover (LC) changes in the city of Prešov, Slovakia, a typical medium-sized European city that has recently undergone significant LC changes. In this study, we use the relationship between Landsat-8/Landsat-9-derived LST and spectral indices Normalized Difference Built-Up Index (NDBI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) derived from Landsat-8/Landsat-9 and Sentinel-2 to downscale LST to 10 m. Two machine learning (ML) algorithms, support vector machine (SVM) and random forest (RF), are used to assess image classification and identify how different types and LC changes in selected years 2017, 2019, and 2023 affect the pattern of LST. The results show that several decisions made during the last decade, such as the construction of new urban fabrics and roads, caused the increase in LST. The LC change evaluation, based on the RF classification algorithm, achieved overall accuracies of 93.2% in 2017, 89.6% in 2019, and 91.5% in 2023, outperforming SVM by 0.8% in 2017 and 4.3% in 2023. This approach identifies UHI-prone areas with higher spatial resolution, helping urban planning mitigate the negative effects of increasing urban LSTs.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 2","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-024-13598-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142925621","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}
引用次数: 0
Assessment of beach litter pollution in Egypt, Tunisia, and Morocco: a study of macro and meso-litter on Mediterranean beaches
IF 2.9 4区 环境科学与生态学
Environmental Monitoring and Assessment Pub Date : 2025-01-03 DOI: 10.1007/s10661-024-13517-x
Mirco Haseler, Lilia Ben Abdallah, Loubna El Fels, Bouchra El Hayany, Gasser Hassan, Gabriela Escobar-Sánchez, Esther Robbe, Miriam von Thenen, Assala Loukili, Mahmoud Abd El-Raouf, Fadhel Mhiri, Alaa Abdelwahed El-Bary, Gerald Schernewski, Abdallah Nassour
{"title":"Assessment of beach litter pollution in Egypt, Tunisia, and Morocco: a study of macro and meso-litter on Mediterranean beaches","authors":"Mirco Haseler,&nbsp;Lilia Ben Abdallah,&nbsp;Loubna El Fels,&nbsp;Bouchra El Hayany,&nbsp;Gasser Hassan,&nbsp;Gabriela Escobar-Sánchez,&nbsp;Esther Robbe,&nbsp;Miriam von Thenen,&nbsp;Assala Loukili,&nbsp;Mahmoud Abd El-Raouf,&nbsp;Fadhel Mhiri,&nbsp;Alaa Abdelwahed El-Bary,&nbsp;Gerald Schernewski,&nbsp;Abdallah Nassour","doi":"10.1007/s10661-024-13517-x","DOIUrl":"10.1007/s10661-024-13517-x","url":null,"abstract":"<div><p>We conducted surveys of Mediterranean beaches in Egypt, Morocco, and Tunisia including 37 macro-litter (&gt; 25 mm) and 41 meso-litter (5–25 mm) assessments. Our study identified key litter items and assessed pollution sources on urban, semi-urban, tourist, and semi-rural beaches. Macro-litter concentration averaged 5032 ± 4919 pieces per 100 m or 1.71 ± 2.28 pieces/m<sup>2</sup>, with higher values observed on urban (mean 2.63 pieces/m<sup>2</sup> ± 3.03) and tourist (mean 1.23 pieces/m<sup>2</sup> ± 0.91) beaches. Similarly, urban (mean 9.91 pieces/m<sup>2</sup> ± 12.70) and tourist beaches (mean 5.32 pieces/m<sup>2</sup> ± 4.48) revealed elevated levels of meso-litter contamination, particularly in the upper third of the beach, which contained the highest quantities both in terms of number (51%) and weight (50%). 55% of the macro-litter and 35% of the meso-litter originated from human shoreline activities and poor waste management. Given the width of some beaches and their high levels of pollution, the standard 100 m macro-litter approach was impractical. To enable cost-effective, long-term monitoring, we adapted it to a faster 10 m transect approach, which provided reliable data on the top 25 litter items, accounting for 82% of beach pollution. Our Sand Rake method effectively quantified pollution on both cleaned and uncleaned beaches, addressing the often neglected meso-litter size fraction. The high pollution levels, top litter items, and identified sources indicate that beach cleaning alone will not solve the pollution problem. Efforts to raise environmental awareness, enhanced waste management, and law enforcement are needed to improve the situation in a sustainable way.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-024-13517-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142912805","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}
引用次数: 0
Regulatory failure to monitor and manage the impacts of tailings spills, Alberta, Canada
IF 2.9 4区 环境科学与生态学
Environmental Monitoring and Assessment Pub Date : 2025-01-03 DOI: 10.1007/s10661-024-13416-1
Kevin P. Timoney
{"title":"Regulatory failure to monitor and manage the impacts of tailings spills, Alberta, Canada","authors":"Kevin P. Timoney","doi":"10.1007/s10661-024-13416-1","DOIUrl":"10.1007/s10661-024-13416-1","url":null,"abstract":"<div><p>Based on analysis of documents obtained in public databases and under freedom of information requests, this study assessed the Alberta Energy Regulator’s (AER) monitoring and management of bitumen tailings spills. The AER’s claims of no environmental impacts at any tailings spills lack corroborative environmental data. Claims of perfect spill recovery in 75% of tailings spills are not supported by credible evidence. AER’s spill footprints are unrealistically small relative to the spill volumes. The reported number of spills and total spill volumes are underestimates of the true rates. Reported spill locations are imprecise and inaccurate. For many spills, incident dates are not being accurately reported. The AER claim of routine inspections of spills is not supported by data; only ~ 3.2% of reported tailings spills are inspected. The AER’s tailings spill data lack the ecological, biological, and chemical data required to assess and manage the environmental impacts of tailings spills. Approximately 41–54% of tailings spill sites with photographic documentation showed evidence of environmental harm. If similar rates of harm in relation to tailings spill volumes apply to spills lacking photographic evidence, environmental harm would be inferred in 23–36% of those spills. The AER’s failure to gather credible and relevant environmental data, conduct routine on-site inspections, and protect ecosystems from harm is inconsistent with its regulatory responsibilities. As a result of chronic mismanagement since 1967, ecological risks will persist for decades. The true magnitude of the ecological impacts of tailings spills may never be known.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 2","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142913004","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}
引用次数: 0
Microbial volatile organic compounds measured in the air of a waste sorting plant and a university by thermal desorption-gas chromatography-tandem mass spectrometry
IF 2.9 4区 环境科学与生态学
Environmental Monitoring and Assessment Pub Date : 2025-01-03 DOI: 10.1007/s10661-024-13558-2
Sarah Tabbal, Badr El Aroussi, Sami Haddad, Geneviève Marchand
{"title":"Microbial volatile organic compounds measured in the air of a waste sorting plant and a university by thermal desorption-gas chromatography-tandem mass spectrometry","authors":"Sarah Tabbal,&nbsp;Badr El Aroussi,&nbsp;Sami Haddad,&nbsp;Geneviève Marchand","doi":"10.1007/s10661-024-13558-2","DOIUrl":"10.1007/s10661-024-13558-2","url":null,"abstract":"<div><p>In recyclable waste management facilities, several contaminants, mainly bioaerosols and microorganisms, can be released and cause potential adverse health effects. Given that microbial volatile organic compounds (mVOCs) are metabolites developed by molds and since they can be considered as potential biomarkers of mold exposure, their concentrations in ambient air were monitored at a recyclable waste sorting plant (WSP) and a university campus (UC) serving as control environment for comparison. A recently developed analytical method was used for the detection of 21 selected mVOCs in real conditions. The impact of mVOC sampling duration, period of the day, and variability of their concentrations between different workstations at both sites was studied. At UC, only 3 mVOCs were detected in comparison with 13 mVOCs at the WSP. The sampling duration of 2 h was chosen to increase the sensitivity of the method. Statistical tests showed no significant difference in concentration for the detected mVOCs at WSP for different period of the day whereas an increase in concentrations for ethyl acetate was observed at UC. At WSP, the highest concentrations were measured at the pre-sorting room (ex. 4.04 ng/m<sup>3</sup> for pentan-2-one), followed by the sorting room (ex. 3.46 ng/m<sup>3</sup> for decanal), the optic sorting room (ex. 3.67 ng/m<sup>3</sup> for pentan-2-one), and the lowest concentrations were measured at the waste reception area (ex. 0.51 ng/m<sup>3</sup> for cyclopentanone). This study allows the optimization of the mVOC sampling method, the comparison of the mVOC profiles between contaminated and non-contaminated workplaces and the recommendation for mVOCs with better potential as biomarkers of mold exposure.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 2","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142925620","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}
引用次数: 0
Measurement of natural radionuclides and health risk assessment in soil samples of the Main Central Thrust region in Garhwal Himalaya, India
IF 2.9 4区 环境科学与生态学
Environmental Monitoring and Assessment Pub Date : 2025-01-03 DOI: 10.1007/s10661-024-13569-z
Krishna Pal Singh, Subhash Chandra, Mukesh Prasad, Pooja Panwar, Abhishek Joshi, Shubham Sharma, Sanjeev Kimothi, Ganesh Prasad, Rohit Mehra, R. C. Ramola
{"title":"Measurement of natural radionuclides and health risk assessment in soil samples of the Main Central Thrust region in Garhwal Himalaya, India","authors":"Krishna Pal Singh,&nbsp;Subhash Chandra,&nbsp;Mukesh Prasad,&nbsp;Pooja Panwar,&nbsp;Abhishek Joshi,&nbsp;Shubham Sharma,&nbsp;Sanjeev Kimothi,&nbsp;Ganesh Prasad,&nbsp;Rohit Mehra,&nbsp;R. C. Ramola","doi":"10.1007/s10661-024-13569-z","DOIUrl":"10.1007/s10661-024-13569-z","url":null,"abstract":"<div><p>Ionizing radiation emitted from radionuclides is present everywhere in the environment. It is the main source of health hazards to the general public. The present study elaborates on the analysis of primordial radionuclides in the collected soil samples from the Main Central Thrust (MCT) region of Uttarakhand Himalaya in a grid pattern. The naturally occurring radionuclides radium (<sup>226</sup>Ra), thorium (<sup>232</sup>Th) and potassium (<sup>40</sup>K) were analyzed using a thallium-doped sodium iodide detector-based gamma-ray spectrometer. The activity concentrations of <sup>226</sup>Ra, <sup>232</sup>Th and <sup>40</sup>K were found to vary from 9.82 ± 2.35 to 39.17 ± 5.50 Bq kg<sup>−1</sup> (arithmetic mean 15.76 Bq kg<sup>−1</sup>), 15.09 ± 6.93 to 32.90 ± 7.80 Bq kg<sup>−1</sup> (arithmetic mean 21.66 Bq kg<sup>−1</sup>), and 165.71 ± 43 to 417.16 ± 61.73 Bq kg<sup>−1</sup> (arithmetic mean 320.30 Bq kg<sup>−1</sup>) respectively. The spatial distribution and radiation hazards of primordial radionuclides are discussed in the paper.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 2","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142925619","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}
引用次数: 0
Fault detection and diagnosis of the wastewater nitrate and nitrite sensors using PCA and FDA combined with assessment of the economic and environmental impact of the faults
IF 2.9 4区 环境科学与生态学
Environmental Monitoring and Assessment Pub Date : 2025-01-02 DOI: 10.1007/s10661-024-13593-z
Alexandra-Veronica Luca, Melinda Simon-Várhelyi, Norbert-Botond Mihály, Vasile-Mircea Cristea
{"title":"Fault detection and diagnosis of the wastewater nitrate and nitrite sensors using PCA and FDA combined with assessment of the economic and environmental impact of the faults","authors":"Alexandra-Veronica Luca,&nbsp;Melinda Simon-Várhelyi,&nbsp;Norbert-Botond Mihály,&nbsp;Vasile-Mircea Cristea","doi":"10.1007/s10661-024-13593-z","DOIUrl":"10.1007/s10661-024-13593-z","url":null,"abstract":"<div><p>One of the leading challenges in Water Resource Recovery Facility monitoring and control is the poor data quality and sensor consistency due to the tough and complex circumstances of the process operation. This paper presents a new principal component analysis fault detection approach for the nitrate and nitrite concentration sensor based on Water Resource Recovery Facility measurements, together with the Fisher Discriminant Analysis identification of fault types. Five malfunction cases were considered: constant additive error, ramp changing error in time, incorrect amplification error, random additive error, and unchanging sensor value error. The faults’ implementation, fault detection, and identification methods are presented and evaluated in terms of accuracy and promptitude. The models are originating from a municipal plant. The amount of required electrical energy and greenhouse gas released during the Water Resource Recovery Facility operation were assessed for the cases of nitrates and nitrites NO sensor normal and malfunctioning regimes. The environmental and economic evaluations show the benefits of detecting and identifying nitrates and nitrites NO sensor defects aimed at providing efficient and environmentally friendly operation of the Water Resource Recovery Facility. The fault-affected operation cases showed increased values, up to 10% for the total energy demand and 4% for the total greenhouse gas emissions, when they are compared to the normal operation case.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-024-13593-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142912769","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}
引用次数: 0
Monitoring the operational changes in surface reflectances after logging, based on popular indices over Sentinel-2, Landsat-8, and ASTER imageries
IF 2.9 4区 环境科学与生态学
Environmental Monitoring and Assessment Pub Date : 2025-01-02 DOI: 10.1007/s10661-024-13526-w
Çiğdem Özer Genç, Arif Oğuz Altunel
{"title":"Monitoring the operational changes in surface reflectances after logging, based on popular indices over Sentinel-2, Landsat-8, and ASTER imageries","authors":"Çiğdem Özer Genç,&nbsp;Arif Oğuz Altunel","doi":"10.1007/s10661-024-13526-w","DOIUrl":"10.1007/s10661-024-13526-w","url":null,"abstract":"<div><p>Revealing the status of forests is important for sustainable forest management. The basis of the concept lies in meeting the needs of future generations and today’s generations in the management of forests. The use of remote-sensing (RS) technologies and geographic information systems (GIS) techniques in revealing the current forest structure and in long-term planning of forest areas with multipurpose planning techniques is increasing day by day. Significant technological advances are in allowing programmers to modernize how they manage data. Sentinel-2, which is a relatively new addition to Earth observing satellites, is a new-generation satellite that has enabled classification and monitoring of land cover change with high precision at ease. Visible R, G, B, and near-infrared (NIR) bands have offered exceptional 10-m spatial reasolution, making them suitable for vegetation monitoring along with the additional 20-m bands to spare especially in chlorophyll content analyses. On the contrary, Landsat-8 and ASTER which have been longer lasting in Earth observation were rougher results especially in forestry studies. In this study, Landsat-8 and ASTER satellite images were compared against the Sentinel-2 images as a reference in conjunction with GIS techniques to monitor and assess the impact of various logging procedures, including selective logging and regeneration silviculture. The investigation employed a range of plant vegetation indices, including NDVI, GNDVI, and SAVI, to evaluate the efficacy of image resolution in detecting forest cover changes in the Kastamonu region, where the timber production is the hightest in Turkey. For selective and regeneration activities, satellite images were taken pre-harvesting and immediately post-harvesting, and index maps were produced. NDVI, GNDVI, and SAVI indices were the most accurate indicators of green vegetation change in the Sentinel-2A imagery. Similarly, for the Landsat-8 imagery, the SAVI, NDVI, and GNDVI indices were found to be satisfactory indicators. As for ASTER imagery, the success sequance was like SAVI, GNDVI, and NDVI. Based on the findings of this study, it has been noted that the ASTER imagery closeness to Sentinel-2A was more remarkable in detecting changes in green vegetation in forested areas. The data derived from ASTER imageries demonstrated superior efficacy compared to Landsat-8 in generating forest cover maps, owing to their proximity to those produced by Sentinel-2. The findings also indicated that ASTER imagery, with suitable spatial and spectral resolution, could still be utilized as efficienly as Landsats to generate forest cover density maps and monitor long-term forest conservation practices, particularly in professionally managed forests. Thus, this methodology demonstrated the capacity for efficient worldwide forest management.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142912768","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}
引用次数: 0
Modelling the relationship between industrial air pollution and perceived health effects of households in the three most air-polluted cities of Pakistan
IF 2.9 4区 环境科学与生态学
Environmental Monitoring and Assessment Pub Date : 2025-01-02 DOI: 10.1007/s10661-024-13580-4
Yasir Mehmood, Muhammad Arshad
{"title":"Modelling the relationship between industrial air pollution and perceived health effects of households in the three most air-polluted cities of Pakistan","authors":"Yasir Mehmood,&nbsp;Muhammad Arshad","doi":"10.1007/s10661-024-13580-4","DOIUrl":"10.1007/s10661-024-13580-4","url":null,"abstract":"<div><p>Industrialization contributes to economic growth; however, its negative impacts cannot be overlooked. The emission of toxic pollutants into the atmosphere by industries poses a serious threat to both environmental and human health. We conducted a field study in the top three most polluted cities of Pakistan to quantify the impacts of industrial air pollution on the perceived health effects of households. We also analyzed the factors influencing households’ adoption of preventive practices to mitigate the effects of air pollution. Data were collected from households residing in both industrial and non-industrial areas. Our findings revealed that short-term health issues including cough, sore throat, rhinitis, eye irritation, and dermatitis were 25% more prevalent among respondents living in industrial areas ompared to those in non-industrial areas. Estimates from the negative binomial (NB) regression model indicated that age, education level, gender, occupation, media influence, comorbidity, and proximity to industrial sites were significant determinants of households’ perceived health effects. Approximately 40% of respondents in industrial areas and 44% in non-industrial areas reported adopting preventive practices to avoid the detrimental effects of air pollution. Further analysis identified perceived health effects (<i>β</i> = 0.252, <i>p</i> &lt; 0.05) and the proximity of residential sites to industry (<i>β</i> = 0.973, <i>p</i> &lt; 0.05) as significant factors influencing the adoption of preventive measures. Based on our findings, we recommend that authorities locate factories away from residential areas, schools, and healthcare facilities. Additionaly, raising awareness through mainstream and social media can help mitigate health risks associated with industrial air pollution. Furthermore, Individuals working in factories or sufferring from comorbidities should receive trainings on adopting effective preventive measures to avert health effects of air pollution.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142912782","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}
引用次数: 0
GIS-based spatial assessment of water quality, soil, and plant: a case study of Darawat Dam Sindh, Pakistan
IF 2.9 4区 环境科学与生态学
Environmental Monitoring and Assessment Pub Date : 2025-01-02 DOI: 10.1007/s10661-024-13599-7
Muhammad Farooque Lanjwani, Muhammad Yar Khuhawar, Rafi-O.-zaman Brohi, Waheed Ali Soomro, Abdul Hameed Lanjwani, Muhammad Umar Lanjwani
{"title":"GIS-based spatial assessment of water quality, soil, and plant: a case study of Darawat Dam Sindh, Pakistan","authors":"Muhammad Farooque Lanjwani,&nbsp;Muhammad Yar Khuhawar,&nbsp;Rafi-O.-zaman Brohi,&nbsp;Waheed Ali Soomro,&nbsp;Abdul Hameed Lanjwani,&nbsp;Muhammad Umar Lanjwani","doi":"10.1007/s10661-024-13599-7","DOIUrl":"10.1007/s10661-024-13599-7","url":null,"abstract":"<div><p>This study applied integrated statistical approaches, including GIS mapping and the water quality index (WQI), to assess the quality of water, soil, and plant samples which collected from Darawat Dam, Sindh, Pakistan. The samples were analyzed for physicochemical parameters and metal analyses. Results of cations in water samples were in the range Na<sup>+</sup> 26.74 to 39.67 mg/L, K<sup>+</sup> 0.92 to 2.89 mg/L, Ca<sup>2+</sup> 28.67 to 39.45, and Mg<sup>2+</sup> 19.67 to 34.43 mg/L. The values of Cl<sup>−</sup> in water samples were 44.54 to 61.26 mg/L, sulfate 27.11 to 46.45 mg/L, and bicarbonate (HCO<sub>3</sub><sup>−</sup>) 100 to 135 mg/L. The results of major and trace elements in soil samples were varied for Na<sup>+</sup> 1259–1781 mg/kg, K<sup>+</sup> 306–498 mg/kg, Ca<sup>2+</sup> 689–1093 mg/kg, Mg<sup>2+</sup> 357–795 mg/kg, Zn 194–235 mg/kg, Fe 124–242 mg/kg, Cu 25.34–33.56 mg/kg, Co 19.45–27.32 mg/kg, Mn 97.83–131 mg/kg, Ni 39.65–52.44 mg/kg, Cr 69.64–83.65 mg/kg, Cd 3.98–8.66 mg/kg, and Pb 5.34–9.62 mg/kg respectively. The major and trace elements in plant samples were varied from Na<sup>+</sup> 3456 to 5016 mg/kg, K<sup>+</sup> 1197 to 1654 mg/kg, Ca<sup>2+</sup> 2367 to 2892 mg/kg, Mg<sup>2+</sup> 1429 to 1686 mg/kg, Zn 132 to 155 mg/kg, Fe 255 to 354 mg/kg, Cu 19.54 to 28.56 mg/kg, Co 11.64 to 14.65 mg/kg, Mn 23.54 to 34.78 mg/kg, Ni 8.44 to 11.03 mg/kg, Cr 6.34 to 9.55 mg/kg, Cd 0.43 to 0.93 mg/kg, and Pb 4.33 to 6.59 mg/kg. The GIS maps were drawn for TDS, Cl<sup>−</sup>, Na<sup>+</sup>, heavy metals Cr, Cd, and WQI and these graphs showed that most of the water samples of Darawat Dam is good for human consumption. The results of electrical conductivity (EC) and total dissolved salts (TDS) of water samples were found to be from 648 to 753 µS/cm and 414 to 482 mg/L. The Darawat Dam water samples were good for drinking as well as irrigation based on the results of water quality parameters. The WQI specified that 100% of samples were excellent to good for water quality for drinking. The 100% samples were also excellent for crops. The scatter diagram disclosed that weathering and ion exchange were chief processes. The Gibbs diagram revealed that all samples showed rock dominance which confirmed the dissolution of rock as the main source for the water quality of the Dam. The hydrogeochemical facies (Piper diagram) showed that sample points were gathered in the center of the diagram which indicated mixed type water with no particular parameter effluents the water quality.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142912778","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}
引用次数: 0
Field performance evaluation of low-cost PM2.5 sensors for enhancing spatial resolution of PM2.5 monitoring: a case study in the smart city of Sejong, Korea
IF 2.9 4区 环境科学与生态学
Environmental Monitoring and Assessment Pub Date : 2024-12-31 DOI: 10.1007/s10661-024-13601-2
Sangcheol Kim, Hayoon Go, Eunok Bang, Kyongyong Jung
{"title":"Field performance evaluation of low-cost PM2.5 sensors for enhancing spatial resolution of PM2.5 monitoring: a case study in the smart city of Sejong, Korea","authors":"Sangcheol Kim,&nbsp;Hayoon Go,&nbsp;Eunok Bang,&nbsp;Kyongyong Jung","doi":"10.1007/s10661-024-13601-2","DOIUrl":"10.1007/s10661-024-13601-2","url":null,"abstract":"<div><p>Due to the adverse health effects of PM<sub>2.5</sub> (particles with a diameter less than 2.5 μm), the national ambient air quality standards (NAAQS) for PM<sub>2.5</sub> have been established in many countries. Ambient PM<sub>2.5</sub> concentrations are monitored to determine compliance with the NAAQS, where beta attenuation monitors (BAMs) are widely used as a reference method. However, the high costs of installation and maintenance of BAMs result in difficulties in enhancing the spatial resolution of PM<sub>2.5</sub> monitoring. In this context, low-cost PM<sub>2.5</sub> sensors (LCSs) have been widely deployed for PM<sub>2.5</sub> measurements. Despite their low cost and ease of installation, concerns regarding the data reliability of LCSs remain unresolved, necessitating further field research under various environmental conditions. In this study, we conducted a data comparability assessment between 125 LCSs and two BAMs over 12 months. Daily average PM<sub>2.5</sub> concentrations measured by LCSs generally agreed with those from BAMs. However, when comparing hourly PM<sub>2.5</sub> data, we found that the data comparability of LCSs against BAMs was lower than that of the daily average data, primarily influenced by ambient PM<sub>2.5</sub> levels. Additionally, we found statistical differences in PM<sub>2.5</sub> concentrations among six regions within the study area. This indicates that ambient PM<sub>2.5</sub> levels can vary within a small area, supporting the necessity of monitoring PM<sub>2.5</sub> on a small scale. Overall, the results of this study suggest that the sensors demonstrate both potential and limitations in PM<sub>2.5</sub> monitoring. Therefore, to use LCSs for PM<sub>2.5</sub> monitoring, it is necessary to appropriately select the averaging time and PM<sub>2.5</sub> concentration ranges, considering local environmental conditions and the inherent characteristics of LCSs.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142906119","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}
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