Environmental Monitoring and Assessment最新文献_第3页

Quantitative study on reducing arsenic concentration in rice by sulfur fertilizer based on meta-analysis 基于荟萃分析的硫肥降低水稻砷浓度定量研究

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2025-04-09 DOI: 10.1007/s10661-025-13937-3

Qilu He, Caiqing He, Wenjing Hou, Haiyan Mou, Wenqing Chen, Xinbin Zhou

{"title":"Quantitative study on reducing arsenic concentration in rice by sulfur fertilizer based on meta-analysis","authors":"Qilu He, Caiqing He, Wenjing Hou, Haiyan Mou, Wenqing Chen, Xinbin Zhou","doi":"10.1007/s10661-025-13937-3","DOIUrl":"10.1007/s10661-025-13937-3","url":null,"abstract":"<div><p>Arsenic (As), a toxic metalloid, is absorbed by rice and subsequently enters the human body through the food chain. Sulfur (S) possesses the capacity to reduce As accumulation in rice tissues and has been widely researched for its contributions to enhancing soil quality. However, a clear quantitative consensus regarding the impact of S application on As bioaccumulation and bioavailability has yet to be established. To gain a more nuanced understanding of the interaction between S and As, a comprehensive analysis was conducted on 318 data sets extracted from 23 articles. Both meta-regression and subgroup analyses were employed to investigate the effect of diverse variables on As accumulation in rice. The results indicated that S had a significant dose-dependent effect on reducing As accumulation in rice. The exogenous S significantly reduced the As concentration in rice by 8.95% and the optimal S/As ratio for inhibiting As accumulation was 1–20. Apart from sulfate S, the incorporation of elemental S, persulfate, thiosulfate, and gypsum has been demonstrated to significantly reduce As accumulation in rice. The exogenous S resulted in a significant reduction in <i>TF</i><sub><i>root to shoot</i></sub> content in rice, indicating that S application may impede the physiological process of As transfer from soil to the shoot of rice. Consequently, the exogenous S can effectively mitigate the As accumulation in rice, thereby offering a novel approach to reduce the As content in rice and minimize its detrimental impact on human health.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809262","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

Spatial and temporal classification and prediction of aspen probability in boreal forests using machine learning algorithms

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2025-04-09 DOI: 10.1007/s10661-025-13985-9

Dmitriy Troshin, Maksim Fayzulin, Denis Mirin

{"title":"Spatial and temporal classification and prediction of aspen probability in boreal forests using machine learning algorithms","authors":"Dmitriy Troshin, Maksim Fayzulin, Denis Mirin","doi":"10.1007/s10661-025-13985-9","DOIUrl":"10.1007/s10661-025-13985-9","url":null,"abstract":"<div><p>Mapping and classifying the probability of occurrence of <i>Populus tremula</i> L. (aspen) in boreal forests is a complex task for sustainable forest management and biodiversity conservation. As a key broadleaved species in the taiga region, aspen supports both forestry and local biodiversity habitats. This study introduces a methodology to predict aspen presence using Sentinel- 2 satellite data and machine learning, combining binary classification (presence/absence) with probability estimation. We utilized spectral features (e.g., NDVI, EVI, SAVI) extracted from Sentinel- 2 imagery, employing a logistic regression model to classify aspen occurrence. To assess feature importance, we applied Permutation Importance (PI) and SHAP, enhancing model interpretability and ensuring transparency in identifying influential factors for forest management applications. Results revealed the significant role of spectral features in determining aspen growth probability. SAVI exhibited a strong effect on classification accuracy due to its soil correction capability, while EVI and NDVI proved highly important in summer, reflecting seasonal vegetation dynamics. High EVI values often indicate complex vegetation and conifer biomass, whereas aspen, with its distinct canopy and phenology, shows lower EVI compared to conifers. NDVI, tied to aspen’s photosynthetic activity, remained a reliable indicator in mixed taiga forests. The model achieved an overall accuracy of 94.77% with XGBoost and 95.03% with Random Forest across all seasons, demonstrating robust performance. This reliable aspen distribution data aids forestry planning, such as harvesting, and the algorithm automates inventorying and mapping aspen stands, reducing reliance on labor-intensive ground surveys.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801203","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

Effects of thermal treatment and anaerobic digestion on pathogen and ARG removal in bio-solids from a co-treatment plant for sewage and fecal sludge

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2025-04-08 DOI: 10.1007/s10661-025-13970-2

K. Haritha, M. K. Akhina, B. Krishnakumar

{"title":"Effects of thermal treatment and anaerobic digestion on pathogen and ARG removal in bio-solids from a co-treatment plant for sewage and fecal sludge","authors":"K. Haritha, M. K. Akhina, B. Krishnakumar","doi":"10.1007/s10661-025-13970-2","DOIUrl":"10.1007/s10661-025-13970-2","url":null,"abstract":"<div><p>This study assesses the bacterial pathogen load in secondary sludge from a sewage treatment plant that co-processes fecal sludge with municipal wastewater over 1 year. It also examines how anaerobic digestion and temperature treatment affect pathogens (including bacteria and nematodes) and antibiotic-resistance genes in secondary sludge. Furthermore, it assesses the impact of bacterial pathogen survival during co-digestion of secondary sludge with food waste, bakery waste, and flower waste. A fluctuating viable pathogenic bacterial count with no consistent trend was observed during the 1-year period. <i>Staphylococcus </i>spp. remained consistently abundant with log values of 6.2–7.4 CFU/g TS. Meanwhile, <i>E. coli</i> and <i>Salmonella </i>spp. ranged from 1.3 to 4.6 and 2.7 to 4.6 log CFU/g TS, respectively, significantly exceeding the Class A biosolid limits. Mesophilic anaerobic digestion for 21 days showed limited pathogen removal, requiring 55 days for complete elimination of Gram-negative bacteria, while <i>Staphylococcus </i>spp. exhibited only a 0.4-log reduction. Treatment at 70 °C for 60 min reduced 2–4 log units (<i>p</i> < 0.05) of all Gram-negative bacteria tested, whereas 100 °C for 30 min was required to eliminate <i>Staphylococcus </i>spp. Complete eradication was not achieved for ARGs or nematodes after anaerobic digestion or treatment at 100 °C for up to 90 min. Co-digestion of secondary sludge with food, bakery, and flower waste over 21 days effectively eliminated most bacterial pathogens, achieving complete removal (up to 100%) of <i>Salmonella </i>spp.,<i> E. coli</i>,<i> Vibrio </i>spp., and <i>Klebsiella </i>spp. Meanwhile, <i>Staphylococcus </i>spp. persisted during co-digestion, where the extent of reduction varied with the co-substrate used.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801183","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

Shale wastewater treatment policies recommended by integrated knowledge graph and probability-based algorithms 综合知识图谱和基于概率的算法推荐的页岩废水处理政策

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2025-04-08 DOI: 10.1007/s10661-025-13964-0

Li He, Yugeng Luo, Mengxi He, Tong Sun, Yiming Yan, Wei Ye, Yupeng Lin

{"title":"Shale wastewater treatment policies recommended by integrated knowledge graph and probability-based algorithms","authors":"Li He, Yugeng Luo, Mengxi He, Tong Sun, Yiming Yan, Wei Ye, Yupeng Lin","doi":"10.1007/s10661-025-13964-0","DOIUrl":"10.1007/s10661-025-13964-0","url":null,"abstract":"<div><p>Shale wastewater (SWW) has received much attention recently due to its non-ignorable threat to the environment and human health. Selection of an appropriate SWW treatment technology or a set of technology combinations could be a challenge particularly when no substantial professional-knowledge (or prior experience) is available. This paper develops a modeling framework integrating knowledge graph (KG) and probability-based recommendation algorithms to produce SWW treatment policies without depending on conventional physically based mathematical models and their associated quantitative data. The model is applied to the shale regions in China, including Chongqing city, the provinces of Sichuan, Yunnan, Guizhou, Shaanxi, and Inner Mongolia Autonomous Region, and utilizes the Monte-Carlo (MC) technique to assess the stability of the output policies. Results show that chemical precipitation, ultrafiltration, membrane bioreactor, and electrodialysis in Knowledge Graph Convolutional Networks (KGCN), as well as ultrafiltration, electrocoagulation, reverse osmosis, and electrocatalytic oxidation in RippleNet, are all preferentially recommended in one scenario, with the MC-based probabilities all higher than 0.86, indicating the stability of recommendation results and robustness of the model. Future studies would focus on improving the current KG and algorithms and offering explanatory mechanisms behind policy recommendations.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143793181","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

Parameterizing the particle size distribution of environmental DNA provides insights into its improved availability from the water

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2025-04-08 DOI: 10.1007/s10661-025-13998-4

Toshiaki S. Jo

{"title":"Parameterizing the particle size distribution of environmental DNA provides insights into its improved availability from the water","authors":"Toshiaki S. Jo","doi":"10.1007/s10661-025-13998-4","DOIUrl":"10.1007/s10661-025-13998-4","url":null,"abstract":"<div><p>Previous studies estimated the particle size distribution (PSD) of environmental DNA (eDNA) to infer its persistence state in the water and to determine the size fraction in which eDNA particles are concentrated. These results, however, depend on the combination of filter pore sizes and may not necessarily provide the proper implications for the eDNA state and availability in the water. To address this issue, the present study proposes parameterizing the PSD using the Weibull distribution model, which has been widely used for various materials. Re-analyses of previous datasets show the Weibull parameters (representing the PSD profiles) significantly depend on species traits, marker types, temperature, and time passages after the removal of the individuals. The results allowed for calculating the proportion of eDNA captured using a given filter pore size and the filter pore size required to collect a given percentage of eDNA particles under various study designs and environmental conditions. The results also posed caveats indicating that the strategy for a sufficient eDNA collection method is not always uniform across experimental and environmental conditions. The findings contribute to a better understanding of the eDNA state and improved eDNA availability, refining eDNA-based biodiversity and ecosystem monitoring.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143793135","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

Determination of some heavy metals concentrations in green and yellow wheat crops from Iraqi fields: a comparative analysis of heavy metal accumulation

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2025-04-08 DOI: 10.1007/s10661-025-13981-z

Raed F. Hassan, Jalal N. Jeber, Firas T. Kareem

{"title":"Determination of some heavy metals concentrations in green and yellow wheat crops from Iraqi fields: a comparative analysis of heavy metal accumulation","authors":"Raed F. Hassan, Jalal N. Jeber, Firas T. Kareem","doi":"10.1007/s10661-025-13981-z","DOIUrl":"10.1007/s10661-025-13981-z","url":null,"abstract":"<div><p>Wheat is a crucial staple crop in Iraq, essential for food security. However, heavy metal contamination from sources like irrigation water and fertilizers can pose risks to both plant health and human consumption. This study compares heavy metal levels in green and yellow wheat plants, in five agricultural regions in Iraq: Baghdad, Kirkuk, Salah Al-Din, Al Anbar, and Basra, addressing a gap in research specific to Iraqi wheat and its safety. The research analyzed six heavy metals—iron (Fe), manganese (Mn), copper (Cu), zinc (Zn), cadmium (Cd), and lead (Pb)—in different plant parts using atomic absorption spectrophotometry (AAS). Green plants generally had higher levels of essential metals, while yellow plants, indicative of iron deficiency, accumulated more toxic metals like Cd and Pb. Notably, all cereal samples (the edible part) exceeded the FAO/WHO cadmium limit of 0.02 mg/kg, and some exceeded the lead limit of 0.03 mg/kg, suggesting potential health risks, especially for children. Despite no acute risk, the study emphasizes the need for long-term monitoring to manage contamination. Green wheat is recommended for food due to its lower toxic metal content, while yellow wheat could be used for phytoremediation to clean up contaminated soils. This aligns with the United Nations’ Sustainable Development Goals (SDGs) 2 (Zero Hunger) and 3 (Good Health), providing data for agricultural and health policies.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801208","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

A method for delineating traffic low emission control zone based on deep learning and multi-objective optimization

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2025-04-08 DOI: 10.1007/s10661-025-13949-z

Shuqi Xue, Hong Zou, Qiang Feng, Xiaoxia Wang, Yuanyuan Liu, Yuanqing Wang, Lin Liu

{"title":"A method for delineating traffic low emission control zone based on deep learning and multi-objective optimization","authors":"Shuqi Xue, Hong Zou, Qiang Feng, Xiaoxia Wang, Yuanyuan Liu, Yuanqing Wang, Lin Liu","doi":"10.1007/s10661-025-13949-z","DOIUrl":"10.1007/s10661-025-13949-z","url":null,"abstract":"<div><p>Current methods for defining traffic low emission control zones (TLEZ) often face limitations that hinder their widespread implementation and effectiveness. This study addresses these challenges by employing a comprehensive approach to analyze PM<sub>2.5</sub> concentration levels within TLEZ. This study utilizes PM<sub>2.5</sub> data collected by taxi fleets, integrating static road network features and dynamic time series features to gain a detailed understanding of pollution distribution patterns across different urban areas. To capture these complex distribution patterns of PM<sub>2.5</sub>, a sophisticated deep learning model that combines Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and Attention Mechanism (AM) is deployed. This model adeptly identifies spatial and temporal variations in PM<sub>2.5</sub> concentrations, allowing for a more accurate and responsive analysis of pollution levels. A multi-objective optimization model is developed to minimize the overall impact on residents' daily lives, which considers both environmental and social factors in the delineation of TLEZ. The optimization model is solved using the Non-dominated Sorting Genetic Algorithm II (NSGA-II), which is a robust evolutionary algorithm that facilitates the identification of Pareto-optimal solutions. These solutions can help define the optimal boundaries for Low, Ultra-Low, and Zero Emission Zones. By establishing a framework for assessing and optimizing these zones, this study provides valuable insights and actionable guidance for policymakers and urban planners.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801207","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

Evaluating the environmental impact of stone columns on clay barrier liners in landfills 评估垃圾填埋场粘土隔离层上的石柱对环境的影响

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2025-04-07 DOI: 10.1007/s10661-025-13959-x

Kawther Y. H. Al-Soudany, Mohammed Y. Fattah, Falah H. Rahil

{"title":"Evaluating the environmental impact of stone columns on clay barrier liners in landfills","authors":"Kawther Y. H. Al-Soudany, Mohammed Y. Fattah, Falah H. Rahil","doi":"10.1007/s10661-025-13959-x","DOIUrl":"10.1007/s10661-025-13959-x","url":null,"abstract":"<div><p>The use of stone columns as a ground improvement technique in landfill sites has gained significant attention due to their potential to enhance stability, reduce settlement, and facilitate efficient drainage within the clay barrier layer. This study examines the performance of stone columns placed beneath a clay barrier in a controlled landfill environment. A laboratory-based physical experiment was conducted using two lysimeters filled with organic waste to simulate landfill conditions, with continuous monitoring over 5 months. This research specifically aims to evaluate the effectiveness of stone columns in controlling settlement, optimizing drainage, and preserving liner integrity under waste accumulation and structural loading. The experimental setup involved the installation of 2.5 cm diameter stone columns at a spacing of 7.5 cm (3D), with a length-to-diameter ratio (L/D) of 8 key parameters—including moisture content, temperature, liner pressure, total dissolved solids (TDS), pH, and settlement—were systematically recorded using embedded sensors. Additionally, a structural load was applied to assess its influence on the soil mass beneath the barrier. The findings indicate that stone columns significantly enhance landfill stability by improving drainage efficiency, maintaining consistent pressure, regulating temperature variations, reducing settlement, minimizing TDS accumulation, and stabilizing pH levels. These results underscore the viability of stone columns as an effective long-term solution for improving the performance and containment efficiency of landfill liners.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143793126","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

Spatial modelling and drivers of soil organic carbon across successional communities in tropical deciduous forests: insights from Northwest Himalayan foothills

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2025-04-07 DOI: 10.1007/s10661-025-13953-3

Rahul Bodh, Hitendra Padalia, Divesh Pangtey, Kusum Arunachalam, Subrata Nandy, Ishwari Datt Rai

{"title":"Spatial modelling and drivers of soil organic carbon across successional communities in tropical deciduous forests: insights from Northwest Himalayan foothills","authors":"Rahul Bodh, Hitendra Padalia, Divesh Pangtey, Kusum Arunachalam, Subrata Nandy, Ishwari Datt Rai","doi":"10.1007/s10661-025-13953-3","DOIUrl":"10.1007/s10661-025-13953-3","url":null,"abstract":"<div><p>Soil Organic Carbon (SOC), a key component of the global carbon cycle, remains poorly understood with respect to its linkage to ecological succession. The study aimed to unravel SOC dynamics during ecological succession in a tropical deciduous forest in the foothills of the northwest Himalaya (NWH), India. Ecological parameters derived from satellite remote sensing in conjunction with field sampled SOC was used to predict soil organic carbon density (SOCD) employing four techniques viz., multiple linear regression (MLR), random forest (RF), support vector machines (SVM), and extreme gradient boosting (XGBoost). Cross-validation with hundred replications was employed to evaluate the performance of different models. Significant variability in SOCD was observed across the study area varying from 2.7 t/ha to 65.7 t/ha. The RF model with RMSE of 12.17, <i>R</i><sup>2</sup> of 0.81 and mean bias of 0.16 performed best among all the models. Vegetation parameters emerged as primary predictors, with SOC accumulation increasing alongside vegetation succession—from 24.7 t/ha in pioneer stages to 35.9 t/ha in climax community. The mature forests with dense, tall canopies and substantial biomass contribute significantly to soil carbon storage. For the majority of the tree community types, the uncertainty in predicted SOCD remained below 3 t/ha except for the post-climax community (6–9 t/ha) due to high SOCD and moisture. Study stresses on the roles of successional stages in carbon sequestration in tropical deciduous forests, underscore the importance of the protection of these communities to safeguard SOC stocks effectively.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786549","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

Decentralized municipal solid waste management system (DMSWMS) as an alternative to centralized MSWMS (CMSWMS) for HEIs based on case study of the University of the Punjab, Lahore, Pakistan

IF 2.9 4区环境科学与生态学

Environmental Monitoring and Assessment Pub Date : 2025-04-07 DOI: 10.1007/s10661-025-13952-4

Sidra Shahid, Muhammad Shafiq, Firdaus-e-Bareen

{"title":"Decentralized municipal solid waste management system (DMSWMS) as an alternative to centralized MSWMS (CMSWMS) for HEIs based on case study of the University of the Punjab, Lahore, Pakistan","authors":"Sidra Shahid, Muhammad Shafiq,  Firdaus-e-Bareen","doi":"10.1007/s10661-025-13952-4","DOIUrl":"10.1007/s10661-025-13952-4","url":null,"abstract":"<div><p>Like other parts of the world, the source-specific generation of MSW in higher education institutes (HEIs) of Pakistan contain ≥ 70% compostables being managed through CMSWMS, a resource exhaustive environmental degradation approach. CMSWMS in the University of the Punjab, Lahore- 54590, a mother HEI in Pakistan, includes MSW containing over 2/3rd compostables (with ≥ 85% moisture contents) carrying poor collection efficiency and disposal at distantly located open dumps with linear economy. Here, DMSWMS effectiveness compared to CMSWMS was based on composting compostables at source-level to observe variations in the composition and characteristics of the MSW components, collection efficiency, cost, and combustibles’ earlier separation-driven impacts on its drying duration and calorific value for refuse-derived fuel (RDF), and assessing LCA-based acidification potential of carriage and disposal. Compared to CMSWMS, composting-based DMSWMS significantly improved characteristics of the compostables, combustibles, and recyclables. The DMSWMS resulted ≥ 97% collection efficiency, 89% reduction in collection and disposal cost, significant reduction in acidification potential through ≥ 94% GHGEs reduction, and rendered upfront availability of combustibles as RDF with 86% greater GCV. Cumulatively, all the DMSWMS-driven improvisations led the selected HEI in achieving 100% weighing score of MSWM component of the UI Green Metric World University Campus Ranking system. However, for prompting composting-based sustainable DMSWMS at broader scale in a city, multiple studies are required with stakeholders on board from union councils (smallest administrative units analogic to counties), which would streamline DMSWMS integration into MSW sanitation policy framework of municipalities.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786550","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