环境•农林最新文献

{"title":"Predicting Surface Ozone Levels in Eastern Croatia: Leveraging Recurrent Fuzzy Neural Networks with Grasshopper Optimization Algorithm","authors":"Malik Braik, Alaa Sheta, Elvira Kovač-Andrić, Heba Al-Hiary, Sultan Aljahdali, Walaa H. Elashmawi, Mohammed A. Awadallah, Mohammed Azmi Al-Betar","doi":"10.1007/s11270-024-07378-w","DOIUrl":"https://doi.org/10.1007/s11270-024-07378-w","url":null,"abstract":"<p>Urban air pollution, a combination of industry, traffic, forest burning, and agriculture pollutants, significantly impacts human health, plants, and economic growth. Ozone exposure can lead to mortality, heart attacks, and lung damage, necessitating the creation of complex environmental safety regulations by forecasting ozone concentrations and associated pollutants. This study proposes a hybrid method, RFNN-GOA, combining recurrent fuzzy neural network (RFNN) and grasshopper optimization algorithm (GOA) to estimate and forecast the daily ozone (O<span>(_3)</span>) in specific urban areas, specifically Kopački Rit and Osijek city in Croatia, aiming to improve air quality, human health, and ecosystems. Due to the intricate structure of atmospheric particles, modeling of O<span>(_3)</span> likely poses the biggest challenge in air pollution today. The dataset used by the proposed RFNN-GOA model for the prediction of O<span>(_3)</span> concentrations in each explored area consists of the following air pollutants, NO, NO<span>(_2)</span>, CO, SO<span>(_2)</span>, O<span>(_3)</span>, PM<span>(_{10})</span>, and PM<span>(_{2.5})</span>; and five meteorological elements, including temperature, relative humidity, wind direction, speed, and pressure. The RFNN-GOA method optimizes membership functions’ parameters and the rule premise, demonstrating robustness and reliability compared to other identifiers and indicating its superiority over competing methods. The RFNN-GOA method demonstrated superior accuracy in Osijek city and Kopački Rit area, with variance-accounted for (VAF) values of 91.135%, 83.676%, 87.807%, 79.673% compared to the RFNN method’s corresponding values of 85.682%, 80.687%, 80.808%, 74.202% in both training and testing phases, respectively. This reveals that RFNN-GOA increased the average VAF in Osijek city and Kopački Rit area by over 5% and 8%, respectively.</p>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":null,"pages":null},"PeriodicalIF":2.52,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200352","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":"Assessment of Cadmium, Chromium, and Lead Concentrations in Water, Bank Soil, Sediment, Plants, and Fish in Bagega Lake, Zamfara State, Northwest-Nigeria","authors":"B Ahmed, I. M. K Gadzama, Y. Tanimu, B. Gauje","doi":"10.1007/s11270-024-07435-4","DOIUrl":"https://doi.org/10.1007/s11270-024-07435-4","url":null,"abstract":"<p>Bagega community is an artisanal mining community with a history of Pb poisoning. The community is served by a small lake as an important source of water for cattle watering, irrigation, washing, and fishing among other uses. The concentration of Cd, Cr, and Pb in soil and plants at the bank, surface water, sediment, and fish of the lake were analysed using Agilent 4210 MP-AES machine after microwave digestion using the Advanced Microwave Digestion System model (Ethos easy). The concentrations of Pb and Cr in water from Bagega Lake were found to be above the WHO acceptable limits. This presents a health risk to humans and other animals that utilize directly or indirectly utilize the water in the lake. Catfish (<i>Clarias</i> anguillaris) and Tilapia (<i>Oreochromis</i> niloticus) had higher Pb and Cr concentrations in the gills than in the liver and h muscle (flesh). The concentrations of Cr, Cd and Pb of soils in the bank and sediment of Bagega Lake were below the WHO acceptable limits. A total of thirteen (13) plant species belonging to seven (7) families were identified to be dominant around the Bagega Lake during the time of study and they all show the potential of bioaccumulation of Cr and Pb based on their BCF.</p>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":null,"pages":null},"PeriodicalIF":2.52,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142225780","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":"Unleashing the Power of Cobalt Pyroborate: Superior Performance in Sulfate Radical Advanced Oxidation Processes","authors":"En-Xuan Lin, Fang-Yu Wu, Yu-Lun Zhu, Yu-Rong Chang, Po-Yi Wu, Pei Yuin Keng","doi":"10.1039/d4en00516c","DOIUrl":"https://doi.org/10.1039/d4en00516c","url":null,"abstract":"This study presents a structurally robust, cobalt pyroborate (Co2B2O5) as a heterogeneous for advanced oxidation process (AOP). The Co2B2O5 nanoparticles were systematically characterized and employed to activate peroxymonosulfate (PMS) effectively in the degradation of various organic recalcitrant. When compared to conventional heterogeneous CoO and Co3O4 catalyst in sulfate radical-advanced oxidation process (SR-AOP), the Co2B2O5catalyst exhibited seven-fold and 2.7-fold increases in degradation rate, respectively. The Co2B2O5/PMS system was optimized to enable degradation of a diverse array of persistent organic pollutants, including tetracycline, 4-nitrophenol and sulfamethoxazole, with respective first-order rate constants of 0.136 min-1 and 0.104 min-1, and 0.092 min-1, respectively Mechanistic insights, supported by selective trapping experiments and electron paramagnetic resonance (EPR) analyses revealed surface-bound sulfate radicals serve as the primary reactive oxygen species (ROS) under dark conditions. Singlet oxygen species also contributed to the degradation process via a non-radical pathway. Remarkably, the catalyst maintained its effectiveness in the presence of natural organic matter, highlighting its potential practical applicability for wastewater treatment. This study presents single-component cobalt pyroborate catalyst with a high catalytic activity under varying conditions, thus providing unprecedented benefits for industrial wastewater treatment applications.","PeriodicalId":73,"journal":{"name":"Environmental Science: Nano","volume":null,"pages":null},"PeriodicalIF":8.131,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142118157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"ZnO-Saponite Nanocomposite: Input of Adsorption and Photocatalysis for Removal of Rhodamine B Dye","authors":"Dihêgo H. Damaceno, Pollyana Trigueiro, Luciano Clécio Brandão Lima, Luzia M. Honorio, Ramón Peña-Garcia, Marcelo B. Furtini, Yuset Guerra, Maria Gardennia Fonseca, Edson C. da Silva-Filho, Maguy Jaber, Josy A. Osajima","doi":"10.1007/s11270-024-07456-z","DOIUrl":"https://doi.org/10.1007/s11270-024-07456-z","url":null,"abstract":"<p>The sol–gel process was applied to prepare ZnO-saponite nanocomposite for environmental remediation and investigation of photocatalysis mechanisms. The nanocomposite followed the photodegradation of Rhodamine B (RhB) as a model dye under irradiation with visible light. The materials were characterized by X-ray diffraction, scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), diffuse reflectance spectroscopy, photoluminescence, Point of zero charges (Pcz), and Brunauer–Emmett–Teller (BET). Reuse, the effect of scavengers, and toxicity were also investigated. The results showed an effective incorporation of the semiconductor on the surface of the support, forming a hexagonal structure with the wurtzite phase of ZnO. The evaluation of texture and morphology showed the effective distribution of ZnO nanoparticles on the surface of the synthesized photocatalyst. The intensified adsorption/photocatalysis process using saponite-based nanocomposite achieved more than 85% RhB dye removal efficiency after 270 min. It followed presented pseudo-first-order kinetics with a constant equal to 6.627 × 10^–1 min⁻¹. Furthermore, the evaluation of the effect of scavengers indicated that alcohol played an important role in scavenging hydroxyl radicals. It was stable after evaluating the catalyst after successive cycles, maintaining its structure, as FTIR proved. Furthermore, the studied nanocomposites did not show evidence of toxicity, thus being promising candidates for application in the removal of polluting dye.</p>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":null,"pages":null},"PeriodicalIF":2.52,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200354","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":"Scenario projections of South Asian migration patterns amidst environmental and socioeconomic change","authors":"","doi":"10.1016/j.gloenvcha.2024.102920","DOIUrl":"10.1016/j.gloenvcha.2024.102920","url":null,"abstract":"<div><p>Projecting migration is challenging, due to the context-specific and discontinuous relations between migration and the socioeconomic and environmental conditions that drive this process. Here, we investigate the usefulness of Machine Learning (ML) Random Forest (RF) models to develop three net migration scenarios in South Asia by 2050 based on historical patterns (2001–2019). The model for the direction of net migration reaches an accuracy of 75%, while the model for the magnitude of migration in percentage reaches an R² value of 0.44. The variable importance is similar for both models: temperature and built-up land are of primary importance for explaining net migration, aligning with previous research. In all scenarios we find hotspots of in-migration North-western India and hotspots of out-migration in eastern and northern India, parts of Nepal and Sri Lanka, but with disparities across scenarios in other areas. These disparities underscore the challenge of obtaining consistent results from different approaches, which complicates drawing firm conclusions about future migration trajectories. We argue that the application of multi-model approaches is a useful avenue to project future migration dynamics, and to gain insights into the uncertainty and range of plausible outcomes of these processes.</p></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0959378024001249/pdfft?md5=96b7193cc129cbbcc5c62f738e72d8ef&pid=1-s2.0-S0959378024001249-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142129440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Floating objects in the open ocean: Unveiling modifications of the pelagic habitat induced by forest cover change and climate variations","authors":"","doi":"10.1016/j.gloenvcha.2024.102917","DOIUrl":"10.1016/j.gloenvcha.2024.102917","url":null,"abstract":"<div><p>Natural floating objects (NLOGs) are a major component of the habitat of pelagic species. Since the 1990s, the number of floating objects in the open ocean has increased greatly as a result of the introduction of drifting fish aggregating devices (DFADs) by the industrial tropical tuna purse seine vessels. These changes, and their potential impacts on the species that associate with floating objects, remain poorly understood. If the habitat modifications induced by DFADs have been recently characterized and quantified, the impact of other human activities on the number of floating objects is poorly studied. Relying on lagrangian simulations at the scale of the whole Indian Ocean, from 2000 to 2019, we assess the potential modifications of the pelagic surface habitat that could originate from forest cover change and climate variations. We develop several scenarios, based on coastal and river forest cover, precipitations and river discharge, to simulate densities of NLOGs. Our results suggest no significant increase in average NLOG densities in the ocean and highlight important regional and seasonal variations of these densities driven by both forest cover change and precipitations. These preliminary findings underscore the limited understanding of this critical element of pelagic species habitat. Therefore, there is pressing need to intensify monitoring efforts for pelagic species habitat and raise awareness about potential impacts of habitat modifications on tuna and other pelagic species.</p></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":null,"pages":null},"PeriodicalIF":8.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0959378024001213/pdfft?md5=4c6ea8b227193921e5fd8adafffcf302&pid=1-s2.0-S0959378024001213-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142138076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Analysis of Water Quality Data Using Statistical and Artificial Neural Network Techniques","authors":"Joydeep Dutta, Sudip Basack, Ghritartha Goswami","doi":"10.1007/s11270-024-07458-x","DOIUrl":"https://doi.org/10.1007/s11270-024-07458-x","url":null,"abstract":"<p>An effort has been made to develop statistical and ANN models for estimation of sodium concentration in pre-monsoon and post-monsoon seasons using routinely monitored water quality parameters of ground water wells in Jaipur district, Rajasthan (India). The Best Subset procedure based on R² (coefficient of determination) and F (Fishers test) values was used in model dissemination. It was found that electrical conductivity, hardness, chloride, and sulphate could be used as surrogate parameters for the prediction of sodium. The model values of Na when compared with actual values (validation) showed a reasonably good matching. Further it was noticed that there was not a single model which could be used to predict the Na levels. It is primarily attributed to the fact that sodium concentration not only varies from site to site but also varies from season to season. Secondly, Principal component analysis was used to predict the dominating water quality constituents and it was revealed that four principal components are accounted for the total chemical variability in the ground water quality for pre-monsoon season and three principal components for post-monsoon season, respectively. The common factors conductivity, fluoride, nitrate, alkalinity, and phosphate have perceptible influence on the quality of groundwater of Jaipur district, Rajasthan. Finally, Back Propagation, three layered ANN models for both pre-monsoon and post-monsoon season was developed for estimation of sodium using the steepest descent optimization technique. ANN models were developed considering a fixed number of iterations as 1000 and the developed models were verified on the data not considered in calibration. The input variables considered for different model structures were identified through correlation analysis. Based on the statistical performance evaluation criteria such as root mean square error (RMSE), correlation coefficient (CC), and coefficient of efficiency (CE), the results indicated satisfactory performance of ANN based model.</p>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":null,"pages":null},"PeriodicalIF":2.52,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200144","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":"Gangue-Based SiO2 Aerogel Used for Pb(II) Adsorption in Wastewater and Mechanism Analysis","authors":"Xu Liu, Xiaomin Kong, Hao Wen, Yue Wang, Meili Wu, Hongwei Yin, Wei Qin, Manli Wang, Jun Pei, Miaoming Qu","doi":"10.1007/s11270-024-07473-y","DOIUrl":"https://doi.org/10.1007/s11270-024-07473-y","url":null,"abstract":"<p>Coal gangue, a byproduct of coal mining with massive generation, presents a major challenge for resource utilization. In this study, SiO₂ aerogel was successfully fabricated from coal gangue, via a facile and cost-effective approach. The aerogel boasts an intricate network framework structure internally and functions as a mesoporous material with measurements of 154.5662 m²·g⁻¹ for specific surface area and 7.9557 nm for average pore size. Additionally, exploring the adsorption capabilities of SiO₂ aerogel concerning Pb(II) in wastewater, the research revealed insights. The results demonstrated that the maximum Pb(II) removal efficiency reached 94.09% under pH 6, aerogel dosage of 1.5 g·L⁻¹, and initial Pb(II) concentration of 80 mg·L⁻¹. The adsorption process followed the Langmuir isotherm model and pseudo-second-order kinetic model, suggesting a favorable and predominantly monomolecular layer chemisorption, and the intraparticle diffusion model suggests internal diffusion behavior during adsorption. The SiO₂ aerogel exhibited specific adsorption behavior towards Pb(II). This study offers a promising avenue for repurposing coal gangue while addressing the issue of Pb(II)-contaminated wastewater.</p>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":null,"pages":null},"PeriodicalIF":2.52,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200145","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":"Vermicompost Improves Growth of Tree Species in Different Stages of Ecological Succession Under Iron Mine Tailings","authors":"Leticia Aparecida Bressanin, Kamila Rezende Dázio de Souza, Adriano Bortolotti da Silva, Moacir Pasqual, Daniele Maria Marques, Thiago Corrêa de Souza","doi":"10.1007/s11270-024-07471-0","DOIUrl":"https://doi.org/10.1007/s11270-024-07471-0","url":null,"abstract":"<p>Environmental contamination by iron mine tailings occurs worldwide; however, the growth of cultivated tree species in different stages of ecological succession in such areas is not well understood. Over 80 days, with data collected every 20 days, the morphophysiology of three tree species in different stages of ecological succession (<i>Schinus terebinthifolius</i>, pioneer; <i>Cedrela fissilis</i>, secondary; and <i>Cariniana estrellensis</i>, climax) was investigated in a growth room. These were subjected to iron mine tailings from the Fundão Dam (Mariana-MG, Brazil), with the addition of either soil or vermicompost (2%) as an amendment. <i>S. terebinthifolius</i> and <i>C. fissilis</i> had higher quantities of dry matter, exhibited more changes in shoot and root morphology, as well as less variations in chlorophyll <i>a</i> fluorescence, indicating tolerance to the mine tailings. However, <i>C. estrellensis</i> was highly susceptible to these tailings. The pioneer species were more tolerant to mine tailings, suggesting their potential use as an excellent tool for the recovery of contaminated areas. The secondary species were also tolerant to mine tailings, although to a lesser extent. The climax species were found to be more sensitive to the tailings, but field establishment can differ when succession is already in place. The vermicompost showed great potential as an amendment, thereby reducing the bioavailability of Fe and Mn and favoring the growth of <i>S. terebinthifolius</i> and <i>C. fissilis</i>.</p>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":null,"pages":null},"PeriodicalIF":2.52,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200143","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":"Metagenomic Characterization of Root Fungal Microbiota Resistant to Heavy Metal Stress in Pinus brutia","authors":"Melike Cebi Kilicoglu","doi":"10.1007/s11270-024-07468-9","DOIUrl":"https://doi.org/10.1007/s11270-024-07468-9","url":null,"abstract":"<p>Environmental pollution, driven by expanding industrial activities, is one of the most pressing issues today. Many fungi possess resistance mechanisms against heavy metals (HM), making them a sustainable approach for remediation processes. This study focuses on assessing HM concentrations in root samples taken from <i>Pinus brutia</i> in the Samsun Organized Industrial Zone (OIZ), a region heavily affected by environmental pollutants, and a nearby forested area (Adalar), while also examining the fungal diversity in the root endosphere. The fungal microbiota of the samples was determined using next-generation sequencing technology. Genera such as <i>Aspergillus</i>, <i>Alternaria</i>, <i>Fusarium</i>, <i>Cladosporium</i>, <i>Trichoderma</i>, <i>Thelebolus</i>, <i>Plectosphaerella</i>, <i>Halokirschsteiniothelia</i>, <i>Exophiala</i>, and <i>Xenopolyscytalum</i> were detected in the roots of <i>P. brutia</i> plants grown in the OIZ area, which is contaminated with HMs. The results indicate that higher levels of HM contamination may lead to changes in fungal diversity and an increase in the ratios of resistant taxa. This study aims to contribute to bioremediation strategies for HMs by elucidating the relationships between environmental pollutants and fungal microbiota. This research represents the first metagenomic analysis conducted in Samsun, Türkiye, to determine the impact of HMs on root fungal microbiota.</p>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":null,"pages":null},"PeriodicalIF":2.52,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200147","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}