International Journal of Environmental Science and Technology最新文献

Developing watershed management strategies using SWOT and QSPM techniques

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-02-27 DOI: 10.1007/s13762-024-06314-z

J. Mosaffaie, A. Salehpour Jam, M. R. Tabatabaei, M. R. Gharibreza

{"title":"Developing watershed management strategies using SWOT and QSPM techniques","authors":"J. Mosaffaie, A. Salehpour Jam, M. R. Tabatabaei, M. R. Gharibreza","doi":"10.1007/s13762-024-06314-z","DOIUrl":"10.1007/s13762-024-06314-z","url":null,"abstract":"<div><p>The lack of strategies compatible with watershed characteristics may confuse watershed management practices, which can lead to a decrease in watershed health. This research aimed to develop strategies to increase the health and services of the Barajin watershed. The SWOT and QSPM frameworks were used to identify and prioritize the strategies. The total weighted scores of internal and external factors are equal to − 0.972 and + 0.372, respectively, which implies the dominance of weaknesses over strengths and opportunities over threats. The existence of water resources, the weakness of vegetation, the high demand for watershed products, and the sectoralism of related organizations with weighted scores equal to 0.961, 0.927, 1.129, and 0.961 are respectively the most important strength, weakness, opportunity, and threat. Among the 16 strategies, SO3, ST3, and WT2 were introduced as the best strategies with overall attractiveness equal to 18.779, 18.608, and 18.029 respectively. To meet the goals of watershed management, these strategies should be implemented through action plans prepared by related stakeholders. Future research can explore the effectiveness of the proposed strategies or expand the analysis to other watersheds for comparative insights.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 8","pages":"6789 - 6801"},"PeriodicalIF":3.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612210","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 high-efficiency Pebax® 1657-based mixed matrix membrane containing molybdenum oxide particles for enhanced CO2/N2 separation

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-02-26 DOI: 10.1007/s13762-025-06391-8

A. Hosseinkhani, P. Safari, M. Omidkhah, A. Ebadi Amooghin, A. M. Norouzi

{"title":"A high-efficiency Pebax® 1657-based mixed matrix membrane containing molybdenum oxide particles for enhanced CO2/N2 separation","authors":"A. Hosseinkhani, P. Safari, M. Omidkhah, A. Ebadi Amooghin, A. M. Norouzi","doi":"10.1007/s13762-025-06391-8","DOIUrl":"10.1007/s13762-025-06391-8","url":null,"abstract":"<div><p>Membrane-based gas separation technology offers significant advantages compared to conventional processes. To enhance membrane performance, the incorporation of nanoparticles into the polymer matrix to fabricate mixed matrix membranes (MMMs) plays a pivotal role in the advancement of membrane-based gas separation technology. In this study, molybdenum oxide (MoO<sub>3</sub>) nanoparticles were incorporated into Pebax<sup>®</sup> 1657 MMMs for CO<sub>2</sub> separation. The size distribution of nanoparticles was characterized using dynamic light scattering. Scanning electron microscope was used to ensure the even distribution of MoO<sub>3</sub> nanoparticles within the polymer matrix, and all prepared membranes’ crystallinity was under scrutiny by X-ray diffraction and differential scanning calorimetry. Also, by employing Fourier-transform infrared spectroscopy, the Pebax<sup>®</sup> 1657-MoO<sub>3</sub> MMMs were confirmed to be properly fabricated. It appears that MoO<sub>3</sub> nanoparticles are attracted to both soft and rigid Pebax<sup>®</sup> segments by hydrogen bonds, contributing to favorable interfacial adhesion. Gas separation tests demonstrated that the Pebax<sup>®</sup> membrane incorporating 3 wt% MoO<sub>3</sub> delivered the highest CO<sub>2</sub> permeability of 209.5 barrer and the superior CO<sub>2</sub>/N<sub>2</sub> selectivity of 245 at 10 bar and 35 ℃. Finally, CO<sub>2</sub> permeability and CO<sub>2</sub>/N<sub>2</sub> selectivity were improved by 73.43 and 217.9% compared to the pure Pebax<sup>®</sup> membrane.</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 8","pages":"6847 - 6862"},"PeriodicalIF":3.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612312","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

Development of a UiO-66-NH2/cellulose acetate membrane for efficient removal of pharmaceutical contaminants from wastewater

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-02-21 DOI: 10.1007/s13762-025-06408-2

S. Kazemi, A. Tadjarodi

{"title":"Development of a UiO-66-NH2/cellulose acetate membrane for efficient removal of pharmaceutical contaminants from wastewater","authors":"S. Kazemi, A. Tadjarodi","doi":"10.1007/s13762-025-06408-2","DOIUrl":"10.1007/s13762-025-06408-2","url":null,"abstract":"<div><p>In this study, we investigate the efficacy of a novel membrane composed of UiO-66-NH<sub>2</sub> metal–organic framework, MOF, and cellulose acetate, CA, namely UiO@CA, synthesized via a casting process, for the removal of pharmaceutical contaminants from wastewater. Specifically, we focus on the removal of Metronidazole, Tetracycline, and Rifampin, as pharmaceutical contaminants. Through rigorous experimentation, we demonstrate the membrane's remarkable capability to adsorb these pharmaceuticals effectively. Our findings reveal that the Langmuir isotherm model and pseudo-second-order kinetic model describe the best adsorption process, indicating a monolayer adsorption mechanism and chemisorption as the rate-limiting step. Furthermore, for Metronidazole (MNZ), Tetracycline (TC), and Rifampin (RIF) with initial concentration of 20 ppm, after 10 min, the membrane exhibited a removal efficiency of 88.74%, 91.74% and 28.3%, respectively, affirming its potential for efficient pharmaceutical wastewater treatment for both Metronidazole and Tetracycline, while Rifampin possessing a large structure which prevents the diffusion of it into the pores of the membrane. This research contributes to advancing sustainable wastewater treatment technologies by providing insights into the design and application of advanced membrane materials for pharmaceutical pollutant removal. The X-ray diffraction (XRD) assessment of the membrane reused after five cycles reveals negligible deterioration, suggesting that CA effectively stabilizes MOF (UiO-66-NH<sub>2</sub>) nanoparticles.</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":"6681 - 6696"},"PeriodicalIF":3.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612099","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

Enhancing snow avalanche susceptibility assessment with meta-heuristic optimization and deep learning algorithms

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-02-18 DOI: 10.1007/s13762-025-06387-4

A. Ghayur Sadigh, A. A. Alesheikh, F. Rezaie, A. Lotfata, M. Panahi, S. Lee, A. Jafari, M. Alizadeh, E. H. Ariffin

{"title":"Enhancing snow avalanche susceptibility assessment with meta-heuristic optimization and deep learning algorithms","authors":"A. Ghayur Sadigh, A. A. Alesheikh, F. Rezaie, A. Lotfata, M. Panahi, S. Lee, A. Jafari, M. Alizadeh, E. H. Ariffin","doi":"10.1007/s13762-025-06387-4","DOIUrl":"10.1007/s13762-025-06387-4","url":null,"abstract":"<div><p>Snow avalanches pose a significant threat to both individuals and infrastructure. Deep learning algorithms have been shown to be an efficient tool for modeling snow avalanche and other similar natural disasters, but they require a large sample size for training. However, some regions do not have availability to the required amount of data. This study utilizes established techniques and approaches to address this shortcoming so that these advanced algorithms can be applied even in regions with limited data. It utilizes the recurrent neural network algorithm to model snow avalanche susceptibility, applies a robustness maximization approach to prevent overfitting, and uses three meta-heuristic algorithms for hyperparameter optimization: grey wolf optimizer, particle swarm optimizer, and artificial bee colony optimizer. A performance comparison with other models, including deep neural networks and support vector machines, using the same training strategy, revealed that optimized recurrent neural network models are significantly better suited for datasets with limited sample sizes. The RNN-ABC model demonstrated superior predictive performance (AUC = 0.9710, accuracy = 0.9318, RMSE = 0.2354, sensitivity = 0.9090, and specificity = 0.9545) compared to the RNN-PSO and RNN-GWO models. Relief-F variable importance analysis identified lithology, aspect, land use, slope position, and proximity to streams and roads as key factors in this region. The designed process shows significant effectiveness in regions with limited data size and quality. This hybrid approach can theoretically be applied to many different regions with data scarcity, and possibly even for other natural hazards, providing significant prediction reliability improvement over previous methodologies.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 8","pages":"6621 - 6636"},"PeriodicalIF":3.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612092","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

Highly efficient humic acid removal by environment-friendly copper/aluminum double-layer hydroxide nano adsorbents

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-02-17 DOI: 10.1007/s13762-025-06377-6

N. Pourbakhsh, H. Hazrati, S. Gharibian

{"title":"Highly efficient humic acid removal by environment-friendly copper/aluminum double-layer hydroxide nano adsorbents","authors":"N. Pourbakhsh, H. Hazrati, 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<sup>−1</sup> initial concentration, the adsorbent dosage of 0.02 g L<sup>−1</sup> for lamellar adsorbent and 0.05 g L<sup>−1</sup> 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 R<sup>2</sup> > 0.99 for lamellar and spherical adsorbents, respectively. Maximum adsorption capacities were determined to be 277.7 mg g<sup>−1</sup> and 285.7 mg g<sup>−1</sup> 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 R<sup>2</sup> > 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}

引用次数: 0

Comparative study of CO2 and steam activation on carbon-derived tire waste for effective arsenic removal from water

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-02-11 DOI: 10.1007/s13762-025-06393-6

A. Eshagi, R. Khoshbouy

{"title":"Comparative study of CO2 and steam activation on carbon-derived tire waste for effective arsenic removal from water","authors":"A. Eshagi, 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 (CO<sub>2</sub> 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, CO<sub>2</sub>-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<sub>pzc</sub> 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<sub>BET</sub>), pore volume and As-adsorption capacity of S-AC was higher than C-AC. Therefore, the S-AC, with a S<sub>BET</sub> of 580.6 m<sup>2</sup>/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}

引用次数: 0

Ecological modeling of climate change effects on priority species of the Liliaceae family in Iran

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-02-09 DOI: 10.1007/s13762-025-06346-z

Sh. Nazemi Ardakani, R. Rahimi, A. Mehrabian, H. Mostafavi, H. Kiadaliri

{"title":"Ecological modeling of climate change effects on priority species of the Liliaceae family in Iran","authors":"Sh. Nazemi Ardakani, R. Rahimi, A. Mehrabian, H. Mostafavi, 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}

引用次数: 0

Bibliometric analysis of research trends on the utilization of adsorption methods for removing heavy metals from soil

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-02-06 DOI: 10.1007/s13762-024-06282-4

M. R. Sabour, Z. Zeydabadinejad, H. Zarrabi

{"title":"Bibliometric analysis of research trends on the utilization of adsorption methods for removing heavy metals from soil","authors":"M. R. Sabour, Z. Zeydabadinejad, 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}

引用次数: 0

Correction: Characteristics of pore size distribution in municipal waste contaminated clay based on soil–water characteristic curve

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-01-28 DOI: 10.1007/s13762-025-06342-3

Y. Guo, L. Cao, Y. Wang

引用次数: 0

Developing an integrated urban growth prediction model: a scenario-based approach for the conservation of protected areas

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-01-20 DOI: 10.1007/s13762-024-06298-w

A. Ashjaee, S. M. Monavari, J. I. Harsini, M. Robati, Z. Azizi, A. Salmanmahiny

{"title":"Developing an integrated urban growth prediction model: a scenario-based approach for the conservation of protected areas","authors":"A. Ashjaee, S. M. Monavari, J. I. Harsini, M. Robati, Z. Azizi, 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}

引用次数: 0