Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering最新文献_第9页

Heavy metal-driven biochemical enhancement of dye degradation by bacterial consortia: a multi-scale statistical and spectroscopic investigation. 重金属驱动的生化增强染料降解细菌联合体：一个多尺度的统计和光谱研究。

IF 2 4区环境科学与生态学

Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering Pub Date : 2026-01-01 Epub Date: 2026-02-25 DOI: 10.1080/10934529.2026.2628388

Suryasarathi Kumar, Subhamoy Banerjee, Chinmoyee Pramanik, Anuska Ghosh, Sohini Kulavi, Isha Dey, Niladri Choudhury, Sneha Sarkar, Sudipa Ghosh, Nayanika Chattopadhyay, Priyanka Talukdar, Jaya Bandyopadhyay, Somnath Das

{"title":"Heavy metal-driven biochemical enhancement of dye degradation by bacterial consortia: a multi-scale statistical and spectroscopic investigation.","authors":"Suryasarathi Kumar, Subhamoy Banerjee, Chinmoyee Pramanik, Anuska Ghosh, Sohini Kulavi, Isha Dey, Niladri Choudhury, Sneha Sarkar, Sudipa Ghosh, Nayanika Chattopadhyay, Priyanka Talukdar, Jaya Bandyopadhyay, Somnath Das","doi":"10.1080/10934529.2026.2628388","DOIUrl":"10.1080/10934529.2026.2628388","url":null,"abstract":"This study evaluated the heavy metal-induced enhancement of azo dye degradation using three bacterial strains: Acinetobacter sp. SS1, Acinetobacter baumannii SS3, and Bacillus cereus SS2. Under normal monoculture (NM) conditions, dye degradation efficiencies ranged from 22.2% to 26.7%. Under 2.5% heavy metal stress, efficiencies increased to 32.8%-39.0%, indicating a ∼1.5-fold increase. The most significant improvement was observed in stress-adapted consortia, where degradation efficiencies ranged from 52.3% to 59.0%, representing a nearly 2.4-fold increase compared with those in NMs. Fourier-transform infrared analysis revealed more than 10 stress-specific functional groups, including nitriles, amides, and sulfonates, confirming metabolic reprogramming. Auto-aggregation reached a maximum of 41.6% in B. cereus SS2 after 16 h, while molecular docking of Dyp peroxidase (7YZT) and azoreductase (3W77) yielded binding energies of -24.7 kcal mol-1, supporting high enzyme interaction stability. Phytotoxicity assays showed 100% seed germination and enhanced stem height (by ∼45%) in plants treated with stress-consortia-remediated effluent. Two-way analysis of variance yielded statistically significant results across treatment groups (P < 0.01), and principal component analysis showed distinct clustering of stress-consortia performance in the first principal component (PC1 = 2.2693 for C1). These results confirm that microbial consortia preconditioned with metal stress exhibit significantly enhanced bioremediation capabilities in complex dye-contaminated systems.","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"98-124"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147283869","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

Environmental heavy metals and Staphylococcus aureus resistance: insights from Nigerian cities. 环境重金属和金黄色葡萄球菌耐药性：来自尼日利亚城市的见解。

IF 2 4区环境科学与生态学

Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering Pub Date : 2026-01-01 Epub Date: 2026-03-15 DOI: 10.1080/10934529.2026.2641959

Eudora Obioma Nwanaforo, Cecilia N Obasi, Polycarp Dauda Madaki, Baridoo Donatus Dookai, Prosper Manu Abdulai, Chiara Frazzoli, Orish Ebere Orisakwe

{"title":"Environmental heavy metals and Staphylococcus aureus resistance: insights from Nigerian cities.","authors":"Eudora Obioma Nwanaforo, Cecilia N Obasi, Polycarp Dauda Madaki, Baridoo Donatus Dookai, Prosper Manu Abdulai, Chiara Frazzoli, Orish Ebere Orisakwe","doi":"10.1080/10934529.2026.2641959","DOIUrl":"10.1080/10934529.2026.2641959","url":null,"abstract":"Growing evidence suggests that antimicrobial resistance may be influenced by environmental pollutants, particularly heavy metals such as lead (Pb), cadmium (Cd), and copper (Cu), which exert co-selective pressures that favor the emergence of resistant strains. This study explored the relationship between environmental heavy metal exposure and nasal colonization by MRSA and methicillin-susceptible Staphylococcus aureus (MSSA) in urban Nigerian communities. Eighty participants provided blood samples and nasal swabs. Staphylococcus aureus strains were isolated and identified using standard microbiological techniques. Blood samples were analyzed for Pb, Cd, and Cu concentrations using atomic absorption spectrophotometry. Port Harcourt recorded the highest Cu levels, whereas Aba showed the highest blood concentrations of Pb and Cd (0.042 ± 0.006 and 0.041 ± 0.004 mg dL-1, respectively). A significant gender-specific difference in Cu exposure was observed, with male participants in Aba exhibiting notably higher levels (0.071 ± 0.030 mg dL-1, P = 0.002). Strong positive associations were identified between MRSA colonization and blood Pb (r = 0.72, P < 0.01) and Cd levels (r = 0.68, P < 0.01). Conversely, MSSA colonization was negatively associated with heavy metal concentrations (r = -0.54, P < 0.05), suggesting that metal pollution may preferentially support the proliferation of resistant strains.","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"311-319"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147463363","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

Alleviation of noise annoyance generated by exhaust ventilation at a school campus surrounded by residential buildings. 纾缓被住宅楼宇包围的校园内因排风而产生的噪音。

IF 2 4区环境科学与生态学

Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering Pub Date : 2026-01-01 Epub Date: 2026-06-13 DOI: 10.1080/10934529.2026.2686544

Kang Chen, Jing Shi

{"title":"Alleviation of noise annoyance generated by exhaust ventilation at a school campus surrounded by residential buildings.","authors":"Kang Chen, Jing Shi","doi":"10.1080/10934529.2026.2686544","DOIUrl":"10.1080/10934529.2026.2686544","url":null,"abstract":"Noise is a widespread harmful environmental stressor that burdens large urban populations globally. Exposure to environmental noise at elevated levels increases annoyance and disturbance, posing substantial risks to both mental and physical health. While the dangers of noise exposure have been widely recognized, the quantitative relationship between noise exposure and psychological response is not well translated to the environmental noise community. This study attempts to estimate people's annoyance generated by exhaust ventilation noise in a residential community through field measurements and theoretical exposure modeling. The sound pressure levels (SPLs) were sampled at multiple points first, and then a double-layer sound insulation strategy was implemented to reduce the noise levels. Acoustic computations show that the percentage of highly annoyed population in building A before and after duct-borne noise treatment were 11.6% vs. 9.8%, demonstrating reasonable alleviation of noise annoyance and voluntary compliance with the WHO health-based guidelines. Moreover, issues in current environmental noise regulations and their implementation were pointed out, offering suggestions for potential improvements in local legislation. Finally, the methodology and recommendations presented in this study can assist environmental health professionals and policymakers in their efforts to alleviate noise annoyance and develop informative noise control guidelines in the future.","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"885-895"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148239327","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

Microplastics on the frontline: causes, strategies to combat pollution and protect health with advanced bioremediation-a review. 前沿的微塑料：起因、对抗污染的策略和先进生物修复保护健康的综述。

IF 2 4区环境科学与生态学

Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering Pub Date : 2026-01-01 Epub Date: 2026-02-13 DOI: 10.1080/10934529.2026.2616588

Saurabh Dave, Poonam Hariyani, Hardik Pathak

{"title":"Microplastics on the frontline: causes, strategies to combat pollution and protect health with advanced bioremediation-a review.","authors":"Saurabh Dave, Poonam Hariyani, Hardik Pathak","doi":"10.1080/10934529.2026.2616588","DOIUrl":"10.1080/10934529.2026.2616588","url":null,"abstract":"Microplastic (MP) pollution is a growing global concern with serious implications for ecosystems and human health. The present review provides a comprehensive analysis of the occurrence, mobility, and toxicological impacts of MPs, focusing on their role as vectors for heavy metals and persistent organic pollutants. The review explores their subsequent translocation into the human food web. This review summarizes and evaluates microbial and enzymatic degradation. The review framework integrates traditional environmental assessment with emerging technologies, specifically evaluating the efficacy of microbial enzymes (such as PETase and laccase) and the potential of artificial intelligence (AI)-enabled predictive modeling for pollution hotspot identification. This holistic approach bridges the gap between field-based quantification and advanced bioremediation strategies. The findings are contextualized within the UN Sustainable Development Goals (SDGs). Using the PRISMA 2020 guidelines, a systematic review of 666 studies published between 2010 and 2025 in the Scopus database was conducted to synthesize insights across multiple levels of MPs and bioremediation using published articles in India. The novelty lies in combining India-specific field data, cross-trophic toxicological insights, and AI to address existing research gaps. The framework aligns with multiple SDGs, including SDG 3, 6, 9, 12, and 14.","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"47-67"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146180567","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 standardized parametric weighting system for water quality indexing: advancing water resource management through improved decision support. 一个标准化的水质指标参数加权系统：通过改进决策支持推进水资源管理。

IF 2 4区环境科学与生态学

Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering Pub Date : 2026-01-01 Epub Date: 2026-05-19 DOI: 10.1080/10934529.2026.2668259

Johnson C Agbasi, Johnbosco C Egbueri, Sani I Abba, Abdullahi G Usman, Krishna Prakash Arunachalam, Mahamuda Abu, Mohd Yawar Ali Khan

{"title":"A standardized parametric weighting system for water quality indexing: advancing water resource management through improved decision support.","authors":"Johnson C Agbasi, Johnbosco C Egbueri, Sani I Abba, Abdullahi G Usman, Krishna Prakash Arunachalam, Mahamuda Abu, Mohd Yawar Ali Khan","doi":"10.1080/10934529.2026.2668259","DOIUrl":"10.1080/10934529.2026.2668259","url":null,"abstract":"Weighted water quality indexing is constrained by subjective expert judgment, statistical tools, and complex models that undermine environmental monitoring and management. This study advances environmental assessment through a standardized parametric weighting system that improves decision support by prioritizing contaminants via sample-specific assignments based on established permissible limits. The approach quantifies contaminant exceedance intensity, incorporating ratio and deviation calculations, censored data handling, and piecewise logarithmic scaling for parameters with low permissible limits (e.g., potentially toxic elements [PTEs]). Validated on datasets from southern Nigeria and eastern Ghana, the system increased sensitivity coefficients across both datasets, enabling more responsive contaminant prioritization. Effectiveness was demonstrated for prioritizing PTEs (such as Pb and Fe) alongside conventional parameters (including pH, Mg2+, Ca2+, SO42-, HCO3-). In Nigeria, Water Quality Index (WQI) eclipsing errors were reduced, improving hazard detection accuracy. In Ghana, parameter prioritization within the Pollution Index of Groundwater (PIG) was refined. The method provides an accessible, reproducible tool for water quality weight assignment and intensity-based pollutant ranking, supporting environmental toxicology and hazard assessment. Its operational simplicity suits diverse monitoring regimes, offering managers a practical approach for equitable, targeted water quality assessment. This work advocates for more reliable water quality assessment to enhance attainment of multi-sustainability goals.","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"581-604"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147972933","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

Global patterns of air pollution-attributable neonatal preterm birth mortality rates: a machine learning analysis using LSTM autoencoder and K-means clustering. 空气污染导致新生儿早产死亡率的全球模式：使用LSTM自编码器和k均值聚类的机器学习分析。

IF 2 4区环境科学与生态学

Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering Pub Date : 2026-01-01 Epub Date: 2026-05-13 DOI: 10.1080/10934529.2026.2668915

Nasrin Borumandnia, Reza Taherian, Amirali Koohi Bachemir, Atefeh Talebi, Mohammad Hossein Beheshti, Hamid Alavi Majd

{"title":"Global patterns of air pollution-attributable neonatal preterm birth mortality rates: a machine learning analysis using LSTM autoencoder and K-means clustering.","authors":"Nasrin Borumandnia, Reza Taherian, Amirali Koohi Bachemir, Atefeh Talebi, Mohammad Hossein Beheshti, Hamid Alavi Majd","doi":"10.1080/10934529.2026.2668915","DOIUrl":"10.1080/10934529.2026.2668915","url":null,"abstract":"Neonatal preterm birth is a leading cause of neonatal mortality worldwide, and maternal exposure to air pollution is increasingly recognized as a contributing factor. Quantifying the global burden of deaths attributable to air pollution is essential for guiding interventions. Using data from the Global Burden of Disease (GBD) study, we examined country-level neonatal preterm birth deaths attributable to air pollution between 1990 and 2023. A Long Short-Term Memory (LSTM) autoencoder was employed to capture temporal patterns and anomalies in mortality rates, and K-means clustering (K-means) grouped countries with similar trajectories. Results showed that mortality attributable to air pollution declined in most countries, with annual slope values ranging from -0.79 to +0.04. Despite these declines, mean mortality rates varied substantially, from 0.03 per 100,000 live births in Japan and Monaco to 29.26 in Mali. Countries, such as Bangladesh, Bhutan, Laos and Guatemala demonstrated steep declines, whereas Mali, Guinea-Bissau, Niger and Sudan maintained persistently high mortality. Clustering revealed four distinct groups of countries, highlighting differences in burden and progress. Overall, neonatal preterm birth mortality attributable to air pollution has declined globally but at uneven rates, with the greatest progress in parts of Asia and the highest persistent burden in sub-Saharan Africa, underscoring the need for targeted interventions.","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"570-579"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147930292","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

Influence of solar and UV radiation on the photocatalytic removal of organophosphorus acephate pesticide. 太阳和紫外线辐射对光催化去除甲胺磷农药的影响。

IF 2 4区环境科学与生态学

Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering Pub Date : 2026-01-01 Epub Date: 2026-08-17 DOI: 10.1080/10934529.2026.2715166

Geeta V Patel, Harshvadan P Parmar, Sharmil N Anjirwala, Saurabh K Patel

{"title":"Influence of solar and UV radiation on the photocatalytic removal of organophosphorus acephate pesticide.","authors":"Geeta V Patel, Harshvadan P Parmar, Sharmil N Anjirwala, Saurabh K Patel","doi":"10.1080/10934529.2026.2715166","DOIUrl":"10.1080/10934529.2026.2715166","url":null,"abstract":"Acephate is an organophosphorus pesticide that is widely used to protect a variety of crops worldwide. This study examined the removal of commercial acephate pesticide in the aqueous medium via advanced oxidation process with Silicon carbide (SiC) and Zerovalent Iron (ZVI) under Solar and UV light. The parameters addressed in this study are the pH of the system, the amount of catalyst, and the effect of irradiation time on single and mixed systems. The process exemplified 93.3% and 88.6% removal with UV light and Sunlight, respectively, in the presence of oxidant and ZVI, whereas 85.1% and 82.2% removal were observed with SiC and oxidant along with UV light and Sunlight irradiation after 360 min under optimum conditions. The degradation products produced during the photocatalytic processes were assessed using FTIR analysis. The developed SiC/ZVI-assisted advanced oxidation process shows great promise as an economical and environmentally friendly laboratory technology for the treatment of wastewater, particularly with regard to the remediation of industrial effluents and agricultural runoff containing Acephate pesticide.","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"1226-1233"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148761771","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

Correction. 修正。

IF 2.1 4区环境科学与生态学

Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering Pub Date : 2026-01-01 Epub Date: 2026-02-24 DOI: 10.1080/10934529.2026.2637412

引用次数: 0

Hamaker constant effects on bacterial deposition in porous media. Hamaker常数对多孔介质中细菌沉积的影响。

IF 2 4区环境科学与生态学

Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering Pub Date : 2026-01-01 Epub Date: 2026-03-06 DOI: 10.1080/10934529.2026.2635908

Peng Luo, Lezhuo Li, Yongping Shan, Ye Tian, Shangyun Chen, Wentao Jiao

{"title":"Hamaker constant effects on bacterial deposition in porous media.","authors":"Peng Luo, Lezhuo Li, Yongping Shan, Ye Tian, Shangyun Chen, Wentao Jiao","doi":"10.1080/10934529.2026.2635908","DOIUrl":"10.1080/10934529.2026.2635908","url":null,"abstract":"Bacterial transport is the critical initial step for biofilm formation and microbial functions in porous media. Various physicochemical properties determine the interaction between bacterial cells and matrix. There is, hence, interest to evaluate the Hamaker constant as a comprehensive indicator to quickly predict bacterial deposition in porous media. In this study, percolation column experiments were conducted using four model bacterial strains with distinct hydrophobicity and surface charge properties. Deposition efficiencies were quantified using clean-bed filtration theory and interpreted based on the extended Derjaguin-Landau-Verwey-Overbeek (XDLVO) interaction energy. Research found that hydrophobicity determines the surface energy and, hence, varies the Hamaker constant, posing significant effects on the XDLVO energy to dominant deposition efficiency. The positive correlation between the Hamaker constant and deposition efficiency was mechanistically explained by variations of the XDLVO interaction energy at the secondary minimum distance, which governs reversible deposition. This correlation was validated at both the initial and final stages of bacterial deposition in porous media. These findings indicate that the Hamaker constant provides a simplified yet effective theoretical tool for the prediction of bacterial transport.","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"144-152"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147365486","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

Enhanced soil moisture forecasting using Tabu Search algorithm-optimised attention-based CNN-LSTM model with remote sensing data integration. 基于禁忌搜索算法优化的CNN-LSTM模型遥感数据集成土壤湿度预报

IF 2 4区环境科学与生态学

Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering Pub Date : 2026-01-01 Epub Date: 2026-03-08 DOI: 10.1080/10934529.2026.2634545

Veerandra Kumar R, Anbarasan M

{"title":"Enhanced soil moisture forecasting using Tabu Search algorithm-optimised attention-based CNN-LSTM model with remote sensing data integration.","authors":"Veerandra Kumar R, Anbarasan M","doi":"10.1080/10934529.2026.2634545","DOIUrl":"10.1080/10934529.2026.2634545","url":null,"abstract":"Soil moisture is a critical variable in environmental monitoring, water resource management and agricultural production. However, accurate soil moisture forecasting remains challenging due to complex spatial-temporal interactions and the large volume of remote sensing data. Traditional prediction methods often struggle to effectively capture these nonlinear relationships. To address these limitations, this study proposes an Attention-Based CNN-LSTM model optimised using the Tabu Search Algorithm for enhanced soil moisture forecasting. The model integrates Convolutional Neural Networks (CNN) to extract spatial features and Long Short-Term Memory (LSTM) networks to model temporal dependencies. An attention mechanism is incorporated to emphasise the most relevant spatial and temporal information, thereby improving predictive performance. Furthermore, the Tabu Search Algorithm is employed to optimise model hyperparameters, reducing forecasting errors and improving efficiency. The proposed approach is evaluated against conventional methods, including standard LSTM and XGBR-GA models, using performance metrics, such as Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and the coefficient of determination (R2). Experimental results demonstrate that the attention-based CNN-LSTM model achieves superior accuracy, characterised by lower error values and higher R2 scores. These findings highlight the effectiveness and scalability of the proposed framework for large-scale soil moisture forecasting using remote sensing data.","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"173-189"},"PeriodicalIF":2.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147377759","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