International Journal of Environmental Science and Technology最新文献

Efficiency of continuous flow CPC reactor in removing indicator bacteria and E. coli O157:H7 from hospital wastewater effluents 连续流CPC反应器去除医院废水中指示菌和大肠杆菌O157:H7的效果

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-03-17 DOI: 10.1007/s13762-025-06441-1

N Aghababaiyan, A Rahmani, T Rastgoo, K Moeinian

{"title":"Efficiency of continuous flow CPC reactor in removing indicator bacteria and E. coli O157:H7 from hospital wastewater effluents","authors":"N Aghababaiyan, A Rahmani, T Rastgoo, K Moeinian","doi":"10.1007/s13762-025-06441-1","DOIUrl":"10.1007/s13762-025-06441-1","url":null,"abstract":"<div><p>Chlorination of sewage effluent produces numerous carcinogenic byproducts. Solar disinfection, may be a good alternative, particularly in regions with high solar radiation, such as the central parts of Iran. This research was aimed to investigate the efficacy of a Compound Parabolic Concentrator reactor in eliminating fecal indicator bacteria and <i>E. coli O157:H7</i> from effluents. Aqueous solution and hospital wastewater effluent with turbidities of 2 and 50 NTU were subjected to sunlight in a 2.5 L continuous flow CPC reactor. Parameters such as UVA and IR of solar radiation, reactor temperature, and bacterial counts at different retention times were determined and analyzed. In both aqueous solution and real effluent, temperatures exceeding 55 °C were achieved within a retention time of approximately 20 min. <i>E. coli O157:H7</i> was removed earlier than <i>E. coli</i> and the coliform group. Although a slight increase in turbidity correlated with a temperature rise, more extended retention times were required for bacterial removal. In the real effluent, the <i>HPC</i> bacterial count decreased from 5.5 to 1.6 logarithmic units. In summary, the CPC reactor demonstrated remarkable efficiency in removing <i>E. coli O157:H7</i> and fecal indicator bacteria from hospital wastewater effluent with a turbidity of about 50 NTU. This effectiveness was observed under conditions where UVA and IR levels, as well as UVA dosage, were approximately 45, 1200 W/m<sup>2</sup>, and 8.3 × 10<sup>6</sup> µW-s/cm<sup>2</sup>, respectively. The bacterial destruction was so severe that even after 48 h, regrowth did not occur.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 9","pages":"7933 - 7944"},"PeriodicalIF":3.0,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904694","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

The synthesis of Fe3O4/Co3O4–Cu photocatalyst for the treatment of real contaminated water by a new solar-based system Fe3O4/ Co3O4-Cu光催化剂的合成及其在实际污染水处理中的应用

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-03-15 DOI: 10.1007/s13762-025-06416-2

A. Nariman, M. Arzanin

{"title":"The synthesis of Fe3O4/Co3O4–Cu photocatalyst for the treatment of real contaminated water by a new solar-based system","authors":"A. Nariman, M. Arzanin","doi":"10.1007/s13762-025-06416-2","DOIUrl":"10.1007/s13762-025-06416-2","url":null,"abstract":"<div><p>The present paper aims to develop a new off-grid system for treating real contaminated water by using Fe<sub>3</sub>O<sub>4</sub>/Co<sub>3</sub>O<sub>4</sub>–Cu as a photocatalyst. The novelty is to construct a solar-based system directed to synthesize the Fe<sub>3</sub>O<sub>4</sub>/Co<sub>3</sub>O<sub>4</sub>–Cu nano-photocatalyst and using for remove dyes from real wastewater evaluated in the mentioned off-grid photocatalysis-based system, simultaneously. Firstly, the different parts of the utilized laboratory system were introduced and the method of photocatalyst synthesis was also presented. Then, to analyze the photocatalyst purity and morphology, different analyses of FESEM, EDS, XRD, and TEM were utilized and UV–visible analysis was also used to measure COD (as an index of dye containment). Response Surface Methodology (RSM) was used for conducting the experiments. The included variables were the residence time of nanocomposite in the wastewater, the Dose, and the Cu amount that was used to enhance the absorbance activity of photocatalysts in different wavelengths, and the COD value was considered to be the response (R<sup>2</sup>) equal to 0.8294. In addition, a simulation based on an off-grid solar power system was developed using HOMER (Hybrid Optimization of Multiple Electric Renewables) Pro software, for a water treatment plant in the Bojnourd city, Iran. Based on XRD and EDS analysis, it was demonstrated that there is no considerable impurity in the synthesized samples. The optimal values for the factors of the Residence time, Cu amount, and Dose were demonstrated to be 46, 0.4, and 0.966, respectively, for obtaining the highest possible efficiency in removal.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 9","pages":"7855 - 7866"},"PeriodicalIF":3.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904864","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 PM2.5 modeling with reinforcement learning: dynamic ensembling of multi-graph attention networks and deep recurrent models 用强化学习增强PM2.5建模：多图注意网络和深度循环模型的动态集成

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-03-12 DOI: 10.1007/s13762-024-06317-w

S. Haghbayan, M. Momeni, B. Tashayo

{"title":"Enhancing PM2.5 modeling with reinforcement learning: dynamic ensembling of multi-graph attention networks and deep recurrent models","authors":"S. Haghbayan, M. Momeni, B. Tashayo","doi":"10.1007/s13762-024-06317-w","DOIUrl":"10.1007/s13762-024-06317-w","url":null,"abstract":"<div><p>Modeling PM<sub>2.5</sub> concentrations in urban environments is complex due to the irregular distribution of air pollution monitoring (APM) stations, uncertainties in spatiotemporal relationships, and the dynamic, heterogeneous nature of urban environments. To address these challenges, this study proposes a novel three-stage framework to enhance PM<sub>2.5</sub> modeling accuracy. First, a graph attention network (GAT) effectively handles the irregular distribution and uncertainty in spatiotemporal relationships by using multi-graphs to capture both spatial and temporal correlations between APM stations. The GAT's attention mechanism adaptively assigns greater weights to more relevant inputs, improving both interpretability and prediction precision. In the final stage, reinforcement learning, through the use of a Deep Q-Network (DQN), a reinforcement learning algorithm, optimizes the ensemble of GAT with deep recurrent networks long short-term memory (LSTM), and Gated recursive unit (GRU), dynamically adjusting model weightings to better adapt to rapidly changing urban environments. This framework significantly outperforms thirteen state-of-the-art models, demonstrating superior adaptability and accuracy in capturing PM<sub>2.5</sub> dynamics. These findings offer a robust and scalable solution for air pollution prediction, with direct implications for public health interventions and urban policy planning.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 9","pages":"7797 - 7814"},"PeriodicalIF":3.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904760","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 assessment of endotoxin levels in drinking water: bioluminescence inhibition and Limulus Amebocyte Lysate (LAL) testing 饮用水中内毒素水平的比较评价：生物发光抑制和鲎试剂（LAL）检测

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-03-11 DOI: 10.1007/s13762-025-06432-2

R. Dehghan, Kh. Piri, A. Abdoli

{"title":"Comparative assessment of endotoxin levels in drinking water: bioluminescence inhibition and Limulus Amebocyte Lysate (LAL) testing","authors":"R. Dehghan, Kh. Piri, A. Abdoli","doi":"10.1007/s13762-025-06432-2","DOIUrl":"10.1007/s13762-025-06432-2","url":null,"abstract":"<div><p>The Jajrood River serves as a crucial drinking water source for Tehran, Iran, necessitating regular monitoring of its pollution levels to safeguard public health. Endotoxin remains a significant pollutant of concern, adversely affecting water quality. This study evaluates two detection methods for endotoxin levels: traditional Limulus Amebocyte Lysate testing and a bioluminescence inhibition assay using <i>Vibrio fischeri</i>. The objective is to compare the efficiency and accuracy of these methods in assessing water quality in both the Jajrood River and a connected water treatment facility. The findings reveal that the <i>Vibrio fischeri</i> assay can detect endotoxin levels as low as < 1 EU/mL within 15 min, significantly faster than the 120 min required for Limulus Amebocyte Lysate testing. However, external environmental factors impacted the accuracy of the <i>Vibrio fischeri</i> results. Notably, strong correlations were observed between the two methods (r = 0.61 for the river; r = 0.46 for the treatment plant), underscoring the urgent need for enhanced monitoring strategies for drinking water in Tehran. This research highlights the potential of innovative detection methods to improve public health safety.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 9","pages":"7739 - 7752"},"PeriodicalIF":3.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904804","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

Analyzing the relationship between lichen biodiversity indicators and disturbances in investigating the quality of forest ecosystems 森林生态系统质量调查中地衣生物多样性指标与干扰的关系分析

IF 3 4区环境科学与生态学

International Journal of Environmental Science and Technology Pub Date : 2025-03-08 DOI: 10.1007/s13762-025-06421-5

S. Soleimannejad, M. Eshagh Nimvari, S.R. Safavi, F. Kazemnezhad, A. Sheikhulislami

{"title":"Analyzing the relationship between lichen biodiversity indicators and disturbances in investigating the quality of forest ecosystems","authors":"S. Soleimannejad, M. Eshagh Nimvari, S.R. Safavi, F. Kazemnezhad, A. Sheikhulislami","doi":"10.1007/s13762-025-06421-5","DOIUrl":"10.1007/s13762-025-06421-5","url":null,"abstract":"<div><p>Lichen communities were investigated due to the high sensitivity to disturbances and as one of the important indicators of measuring the quality and stability of forest ecosystems. The present study was carried out with the aim of investigating the quality of the Hyrcanian forest ecosystem in Mazandaran province in the north of Iran by analyzing the relationship between biodiversity indicators of lichen communities and disturbances. Two managed and unmanaged forests with relatively homogenous physiographic conditions were selected. In both forests, the types of disturbance, their location and the area of canopy gaps caused by them were recorded and calculated. Lichen samples were collected in these gaps using sampling quadrats. The results showed that the frequency of disturbances, the number of gaps, and the frequency of larger gaps in the managed forest were more than unmanaged. The number of lichen species, genera and families, as well as the diversity and richness of lichens in natural forests were more than managed. 7 indicator species of natural forests were recorded in these forests. Lichens <i>Ramalina sinensis</i> and <i>Melanelixia glabra</i> were recorded with the highest abundance in windfall tree disturbances and tree-harvesting disturbances in unmanaged and managed forests, respectively. Disturbances have affected the richness and diversity of lichens in the managed forest. The type of forest management has significantly affected the abundance, biodiversity and stability of vulnerable lichens.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 9","pages":"7683 - 7700"},"PeriodicalIF":3.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904758","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

Developing watershed management strategies using SWOT and QSPM techniques 使用SWOT和QSPM技术开发流域管理策略

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 一种高效的Pebax®1657基混合基质膜，含有氧化钼颗粒，用于增强CO2/N2分离

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 UiO-66-NH2/醋酸纤维素膜高效去除废水中药物污染物的研究

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 基于元启发式优化和深度学习算法的雪崩易感性评估

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

Predicting the impacts of key development indices on the ecological footprint in Afghanistan using deep learning 利用深度学习预测阿富汗关键发展指数对生态足迹的影响

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/s13762-025-06371-y

A. B. Arian, M. N. Nazary, A. Z. Karimi, M. Obiad

{"title":"Predicting the impacts of key development indices on the ecological footprint in Afghanistan using deep learning","authors":"A. B. Arian, M. N. Nazary, A. Z. Karimi, M. Obiad","doi":"10.1007/s13762-025-06371-y","DOIUrl":"10.1007/s13762-025-06371-y","url":null,"abstract":"<div><p>Evaluating the ecological footprint (EF) is one of the objectives of nations worldwide, playing a vital role in preserving their environmental resources. This check aims to predict the impacts of key development indices on the EF using deep learning methods with time series data for the period of 1980–2019 in Afghanistan. Initially, an auto-encoder neural network test was used for the analysis of the time series data. The dataset was split into a training set comprising seventy percent of the data and a test set comprising thirty percent. Secondly, auto-encoder neural network methodologies have attracted substantial attention due to their deep learning capacities, offering data optimization and enhancing the accuracy and precision of predictions in both dependent and independent variables. Thirdly, the reliability, stability, and predictive capabilities of the parameters were assessed using an auto-encoder neural network through preliminary tests. The results of the diagnostic tests confirm the predictability and reliability of the parameters in the auto-encoder neural network model. Notably, a strong positive relationship is observed among development indices and EF. The highest correlation coefficient is observed between the total population index and the EF, yielding a rate of R = 0.94. Furthermore, a correlation coefficient of 0.91 is found between the agricultural production index and the ecological footprint. Therefore, on these findings, it can be inferred that the development indices exert significant positive effects on the EF in Afghanistan. To conclude, this study showed deep learning methods can be utilized to predict the impact of development indices on the EF in Afghanistan.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"22 9","pages":"8235 - 8258"},"PeriodicalIF":3.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13762-025-06371-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904750","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