International Journal of Environmental Science and Technology最新文献

{"title":"Highly efficient humic acid removal by environment-friendly copper/aluminum double-layer hydroxide nano adsorbents","authors":"N. Pourbakhsh,&nbsp;H. Hazrati,&nbsp;S. Gharibian","doi":"10.1007/s13762-025-06377-6","DOIUrl":"10.1007/s13762-025-06377-6","url":null,"abstract":"<div><p>This study investigates copper/aluminum dual-layer hydroxide adsorbents with distinct morphologies as efficient cationic adsorbents for humic acid (HA) removal. The adsorbents were synthesized through the co-precipitation and hydrothermal methods. XRD analysis confirmed the high crystallinity and nanometric crystal size, while FTIR analysis validated the anion functional groups present in the adsorbents. EDX analysis further confirmed the composition of the synthesized adsorbents. BET analysis indicated a small surface area and nanometric pore size distribution of the adsorbents. Experimental results indicated the 50 mg L⁻¹ initial concentration, the adsorbent dosage of 0.02 g L⁻¹ for lamellar adsorbent and 0.05 g L⁻¹ for spherical adsorbent, pH = 4, and 25 °C temperature were optimal conditions for efficient HA removal. Isotherm studies demonstrated that the Langmuir isotherm model best fitted with experimental HA adsorption data using both lamellar and spherical adsorbents with R² &gt; 0.99 for lamellar and spherical adsorbents, respectively. Maximum adsorption capacities were determined to be 277.7 mg g⁻¹ and 285.7 mg g⁻¹ for the lamellar and spherical adsorbents, respectively. Moreover, kinetic studies revealed that the pseudo-second-order kinetic model exhibited the best fit for both adsorbents, with R² &gt; 0.99. Finally, recovery studies indicated that the lamellar and spherical adsorbents showed a 60% and 70% reduction in efficiency after 5 consecutive cycles of adsorption-regeneration, demonstrating their potential for repeated use.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 8","pages":"6557 - 6572"},"PeriodicalIF":3.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612016","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":"Comparative study of CO2 and steam activation on carbon-derived tire waste for effective arsenic removal from water","authors":"A. Eshagi,&nbsp;R. Khoshbouy","doi":"10.1007/s13762-025-06393-6","DOIUrl":"10.1007/s13762-025-06393-6","url":null,"abstract":"<div><p>In this research, char prepared through dry carbonization of tire waste was subjected to two physical activating agents (CO₂ and steam) to prepare effective adsorbent for arsenic ions removal from aqueous solution. The effect of activation temperatures (500, 700, 800 and 900 °C) and the concentration of acid washing (0.0, 0.1 and 1.0M HCl) was also examined for char, CO₂-activted char (C-AC) and steam-activated char (S-AC). Then the char and activated chars were tested for arsenic ion adsorption, considering all parameter of adsorption study such as dosage of adsorbent, pH solution, kinetic and isotherms. To characterize the obtained adsorbents, BET-BJH, FTIR, pH_pzc and XRD analyses were conducted. The results show that the activation temperature has a significant impact on the specific surface area, mass yield and adsorption performance of the adsorbent. The increasing the concentration of acid washing is not considerable effect on adsorption capacity. The mass yield of activation of C-AC is higher than of S-AC at the same temperature. However specific surface (S_BET), pore volume and As-adsorption capacity of S-AC was higher than C-AC. Therefore, the S-AC, with a S_BET of 580.6 m²/g and As-adsorption capacity of 25.1 mg/g (compared to 7.8 and 16.9 mg/g for char and C-AC, respectively), an amorphous and fine crystalline graphite structure was the best porous carbon obtained from tire waste. The optimal pH value for the adsorption process was found to be between 6 and 8. The Langmuir model exhibited a superior fit for C-AC, while the Freundlich model proved more suitable for char and S-AC.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 8","pages":"6507 - 6520"},"PeriodicalIF":3.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612170","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":"Ecological modeling of climate change effects on priority  species of the Liliaceae family in Iran","authors":"Sh. Nazemi Ardakani,&nbsp;R. Rahimi,&nbsp;A. Mehrabian,&nbsp;H. Mostafavi,&nbsp;H. Kiadaliri","doi":"10.1007/s13762-025-06346-z","DOIUrl":"10.1007/s13762-025-06346-z","url":null,"abstract":"<div><p>Native plant species with high ornamental potential comprise crucial vegetation in any region. Understanding how climate change affects the distribution of these species is essential for their conservation management. The present study aimed to predict the impact of climate change on the geographic distribution of priority species of two beautiful genera from the Liliaceae family: <i>Tulipa</i> (8 spp) and <i>Fritillaria</i> (12 spp) in Iran. The ecological niche of the studied species was modeled using 18 and 14 predictor variables for <i>Fritillaria</i> and <i>Tulipa</i> species, respectively, and the presence-only method and MaxEnt modeling under RCP 2.6 and RCP 8.5 climate scenarios for the 2050s and 2080s. The results showed that the model performance was excellent or good for each species, with an Area-Under-Curve value of ≥ 0.8. The permutation feature importance results indicated that the distribution of <i>Fritillaria</i> species is mainly influenced by seasonal precipitation, annual temperature range, annual mean temperature, sand content, depth to bedrock, and elevation. Isothermality, annual mean temperature, annual precipitation, and elevation were the most critical environmental factors in predicting <i>Tulipa</i> spp. distribution. The reduction and expansion varied among the species studied, resulting in positive range changes for some species (2 <i>Tulipa</i> species and 5 <i>Fritillaria</i> species) and negative range changes for others. Additionally, some species, including <i>T. montana</i> and <i>F. olivieri,</i> displayed both positive and negative range changes under different scenarios in the 2050s and 2080s. These findings provide valuable insights for decision-makers involved in the conservation and management of these species.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 8","pages":"6435 - 6450"},"PeriodicalIF":3.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612154","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":"Bibliometric analysis of research trends on the utilization of adsorption methods for removing heavy metals from soil","authors":"M. R. Sabour,&nbsp;Z. Zeydabadinejad,&nbsp;H. Zarrabi","doi":"10.1007/s13762-024-06282-4","DOIUrl":"10.1007/s13762-024-06282-4","url":null,"abstract":"<div><p>Soil is a finite resource that cannot be recovered in the human lifetime, affecting every aspect of life. The agricultural industry is constantly facing soil pollution by heavy metals due to a wide range of chemicals present in various agricultural processes, such as pesticides, insecticides, weed killers, and fertilizers. Out of all the soil treatment methods, adsorption has more advantages. Numerous studies have explored adsorption's positive and negative aspects, but there is a research gap in this area as no bibliometric study has been conducted. This paper analyzes the research progress on the adsorption of heavy metals from the soil between 2000 and 2022, as documented in the Scopus database, using bibliometric indicators. Data regarding publication growth trends, subject categories, countries, journals, authors, and keywords were analyzed systematically. Based on a social network analysis of co-authorship relationships, the cooperation between countries and authors' profiles was visualized, assessed, and constructed. The study indicates that the number of publications about this topic has increased significantly over the last few years. China ranked as the number one country in terms of quality and quantity. Additionally, Rinklebe Jӧrg, from South Korea, was quantitatively the most productive author. The findings showed that Cadmium and Lead were the most researched topics among heavy metals.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 8","pages":"6387 - 6400"},"PeriodicalIF":3.0,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13762-024-06282-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612158","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":"Correction: Characteristics of pore size distribution in municipal waste contaminated clay based on soil–water characteristic curve","authors":"Y. Guo,&nbsp;L. Cao,&nbsp;Y. Wang","doi":"10.1007/s13762-025-06342-3","DOIUrl":"10.1007/s13762-025-06342-3","url":null,"abstract":"","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 5","pages":"3297 - 3297"},"PeriodicalIF":3.0,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143466016","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":"Developing an integrated urban growth prediction model: a scenario-based approach for the conservation of protected areas","authors":"A. Ashjaee,&nbsp;S. M. Monavari,&nbsp;J. I. Harsini,&nbsp;M. Robati,&nbsp;Z. Azizi,&nbsp;A. Salmanmahiny","doi":"10.1007/s13762-024-06298-w","DOIUrl":"10.1007/s13762-024-06298-w","url":null,"abstract":"<div><p>With the rise in population growth, urbanization boundaries are expanding, leading to increased habitat fragmentation and a decline in genetic diversity among species within protected areas located near urban centers. This study investigates the simulation and prediction of urban sprawl and land use/land cover (LULC) changes in eastern Tehran, as well as the management of their impact on the neighboring Jajrood Protected Area. We developed LULC maps for the years 1986 and 2016 by applying neural network classification to Landsat imagery. To forecast urban growth and LULC changes, we utilized the SLEUTH model. Three different scenarios including Historical Urban Growth (HUG), Managed Urban Growth (MUG), and Environmental Urban Growth (EUG) were defined to predict urban growth through 2046 by by adjusting the calibrated SLEUTH coefficients, including Diffusion, Breed, Spread, Slope Resistance, and Road Gravity. The east of Tehran city is affected by many coefficients such as the slope resistance, road gravity and spread coefficients. Results show the most important coefficients in this research according to HUG, MUG, and EUG scenarios are the road gravity coefficient, the spread coefficient, and the slope coefficient. In the HUG scenario, the predominant land uses will include roads, water bodies, and urban green spaces. Conversely, in the MUG and EUG scenarios, the largest areas will be allocated to agricultural land, forests, and semi-compact pasturelands.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 5","pages":"2997 - 3008"},"PeriodicalIF":3.0,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143466051","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":"Factors affecting solid waste separation behaviors at source among industrial staff: Structural equation modeling","authors":"A. Shafiei-Alavijeh,&nbsp;N. Kaydi,&nbsp;S. Jorfi,&nbsp;N. Jaafarzadeh Haghighifard,&nbsp;A. Derakhshannejad,&nbsp;M. Araban","doi":"10.1007/s13762-024-06194-3","DOIUrl":"10.1007/s13762-024-06194-3","url":null,"abstract":"<div><p>The rapid development of industrial practices has made it necessary to identify factors affecting solid waste source separation behaviors among industrial staff. To this aim, this cross-sectional study was conducted on 301 participants from 4 industrial factories in Ahvaz, Iran in 2022. To collect the data, a valid and reliable questionnaire which involved 12 constructs based on Extended Parallel Process Model was used. Data were analyzed using Statistical package for social sciences version 26 and intelligent partial least squares-structural equation modeling to identify the relationship between variables. The extensive statistical model showed two types of paths related to solid waste separation at source, namely adaptive and maladaptive process paths. Results revealed significant relationships for adaptive response paths, including <i>susceptibility→perceived severity</i> (β=0.809, t=26.934), <i>susceptibility→response efficacy</i> (β=0.537, t=6.921), <i>response efficacy→self-efficacy</i> (β=0.164, t=3.364), and <i>perceived severity→self-efficacy</i> (β=0.447, t=6.591). There were relationships between <i>response efficacy→attitude</i> (β=0.449, t=6.289), and <i>self-efficacy→intention</i> (β=0.523, t=10.183). Results for maladaptive paths revealed positive and significant relationships between <i>defensive avoidance→message minimization</i> (β=0.415, t=6.883) and <i>minimization→manipulation</i> (β=0.781, t=24.023). The average variance extracted was 0.704, and the composite reliability average was above the threshold level of 0.7. The present study revealed that the model extracted in this study has new dimensions compared to the initial Extended Parallel Process Model and could predict factors related to solid waste management among the staff of industrial factories. Intention was the most influential path in predicting waste management behavior. The proposed models could serve as a framework for environmental-friendly programs.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 9","pages":"7601 - 7624"},"PeriodicalIF":3.0,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904717","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":"Oil pollution removal using g-C3N4/PEG nanocomposite in the presence of bacterial consortium isolated from contaminated areas: optimization Study","authors":"S. Taleshpur,&nbsp;L. Taghavi,&nbsp;H. F. Farahani,&nbsp;B. Rasekh,&nbsp;S. Bazgir","doi":"10.1007/s13762-024-06307-y","DOIUrl":"10.1007/s13762-024-06307-y","url":null,"abstract":"<div><p>Water pollution with oil compounds has led to the development of new technologies for the removal of oil pollution. This study aims to investigate and optimize oil pollutant (C₁₆) removal using a polyethylene-functionalized graphitic carbon nitride (g-C₃N₄/PEG) nanocomposite in the presence of a bacterial consortium isolated from contaminated areas. To investigate optimal conditions for C₁₆ removal, samples were collected from three stations in the northwestern catchment area of Iran contaminated with oil compounds. Two effective operating parameters the oil pollutant removal, pH and time (day), were optimized by the response surface method (RSM). The synthesized nanocomposite was characterized with FTIR, XRD, SEM, and EDX characterization tests. The C₁₆ removal rate was examined by evaporation and gas chromatography (GC) in the presence of g-C₃N₄-non-functionalized and g-C₃N₄/PEG-functionalized. Next Generation Sequencing) NGS (was used for 16S rRNA sequencing and bacteria variant/abundance detection. FTIR and XRD results confirmed the hydrogen bond between g-C₃N₄ and PEG. The morphology of planar and porous g-C₃N₄ structures were determined. The nanoscale dimensions of g-C₃N₄ plates were in the range of 175–118 nm. According to the results NGS, <i>Pseudomonas aeruginosa</i>, showed the highest frequency (90%). The value of p-value is less than 0.05 (<i>p</i> &lt; 0.05) for time term (day), and this parameter for g-C3N4/PEG affects the oil pollutant removal percentage. In the presence of the g-C₃N₄/PEG, the C₁₆ removal rate increased by 68.67% within 15 days. The evaporation removal results showed a higher rate with the g-C₃N₄/PEG, indicating the effect of the PEG agent on increasing the C₁₆ removal process. In the GC method, the C₁₆ removal rates in the presence of the g-C₃N₄/PEG and bacteria were 29.44% and 31% after 9 and 12 days, respectively. Due to the ability of bacteria in C₁₆ biodegradation, these bacteria can be a suitable choice for industrial use in the biodegradation process of oil pollutants in harsh conditions.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 9","pages":"7533 - 7550"},"PeriodicalIF":3.0,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904867","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":"A long-period assessment of climate change impact on river water quality in the central region of Iran","authors":"M. Moazeni,&nbsp;M. Sayedipour,&nbsp;K. Y. A. Lin,&nbsp;A. Ebrahimi","doi":"10.1007/s13762-024-06327-8","DOIUrl":"10.1007/s13762-024-06327-8","url":null,"abstract":"<div><p>Considering the detrimental impact of climate change on water quality, regional studies can prove invaluable in reducing financial losses and enhancing the efficacy of local water management strategies, thereby mitigating the potential adverse consequences of climate change. This study developed a new approach to investigate this issue by analyzing climate and water quality parameters in the Zayandeh-Rud River watershed over 14 years. Data were collected from relevant organizations in Iran. A correlation analysis was conducted to identify the impact of climate change on water quality. Moreover, ordinary kriging, and inverse distance weighting methods were employed for the spatial distribution of parameters. Furthermore, the spatial autocorrelation outcomes about water quality were validated. Hot spot analysis and Anselin Local Moran’s I indices were subsequently employed to effectively delineate clusters with high and low concentration of water quality parameters. The number of freezing days, annual average, minimum, and maximum temperatures, exhibited an upward trend. However, some water quality parameters (EC, TDS, HCO₃⁻, CO₃²⁻, SO₄²⁻, Cl⁻, Mg²⁺, and Na⁺) decreased during the study period. Furthermore, examination of clusters and anomalies revealed that this region is positioned within low–high outlier pattern. Most of the examined water quality parameters demonstrated a clustering of elevated values with a statistical confidence level of 99% within the eastern region of the research area. This study will facilitate the understanding of the impacts of climate change on water quality and the identification of appropriate adaptation measures for the ecosystem management of the Zayandeh-Rud river watershed in Iran.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 7","pages":"5969 - 5986"},"PeriodicalIF":3.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602112","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":"Revolutionizing dye adsorption: amino functionalized Zeolitic Imidazole Framework-8 for effective methyl blue removal","authors":"D. N. Awang Chee,&nbsp;N. A. Kamaludin,&nbsp;M. S. Soffian,&nbsp;F. Z. Abdul Halim,&nbsp;M. A. Mohamed Amin","doi":"10.1007/s13762-024-06250-y","DOIUrl":"10.1007/s13762-024-06250-y","url":null,"abstract":"<div><p>The discharge of untreated wastewater containing synthetic dyes from the industry significantly pollutes water sources. Metal–Organic Frameworks especially Zeolitic Imidazolate Framework-8 have emerged as promising materials in dye wastewater treatment, offering innovative potential for mitigating this pollution. In this research study, the amino-functionalized Zeolitic Imidazole Framework-8 was synthesized and characterized using Field-Emission Scanning Electron Microscopy, Energy Dispersive X-ray Spectroscopy, Fourier Transform Infrared Spectroscopy, X-ray Diffraction, X-ray Photoelectron Spectroscopy and Brunauer–Emmett–Teller. The suitability of amino-functionalized Zeolitic Imidazole Framework-8 for dye removal was determined via a batch adsorption study, and the effects of several adsorption factors were investigated, including the initial concentration of methyl blue (40–200 ppm) the effect of pH condition (pH 3–11), and reaction time (30–180 min). Several kinetic isotherm models, including Langmuir, Freundlich, Pseudo First Order, and Pseudo Second Order, were applied to ascertain the adsorption mechanism. From the results obtained, the adsorption capacity of amino-functionalized Zeolitic Imidazole Framework-8 recorded is 537.4 mg/g. The adsorption isotherm is well-suited to the Freundlich model (R² = 0.9453) and the kinetic of adsorption is most fitted with Pseudo-second order (R² = 0.9999). Thus, these results suggest that amino-functionalized Zeolitic Imidazole Framework-8 is a highly efficient adsorbent for methyl blue, operating predominantly through multilayer adsorption and chemisorption. For future research, it is recommended to study the selectivity of amino-functionalized Zeolitic Imidazole Framework-8 for various dyes and contaminants, as well as to evaluate its performance in real wastewater samples to assess its practical applicability in complex matrices.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 3","pages":"1591 - 1608"},"PeriodicalIF":3.0,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108581","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}