Clean-soil Air Water最新文献_第4页

Issue Information: Clean Soil Air Water. 11/2024 问题信息：清洁土壤、空气和水。11/2024

IF 1.5 4区环境科学与生态学

Clean-soil Air Water Pub Date : 2024-11-16 DOI: 10.1002/clen.202470111

引用次数: 0

Comparison of Machine Learning Algorithms for Prediction of Textile Effluent Treatment Efficiency Using Anaerobic Process 机器学习算法在厌氧工艺纺织废水处理效率预测中的比较

IF 1.5 4区环境科学与生态学

Clean-soil Air Water Pub Date : 2024-11-08 DOI: 10.1002/clen.202400009

Saurabh Samuchiwal, Saurabh Saraswat, Vivek Kumar Nair, Aman Chaudhary, Anushree Malik

{"title":"Comparison of Machine Learning Algorithms for Prediction of Textile Effluent Treatment Efficiency Using Anaerobic Process","authors":"Saurabh Samuchiwal, Saurabh Saraswat, Vivek Kumar Nair, Aman Chaudhary, Anushree Malik","doi":"10.1002/clen.202400009","DOIUrl":"https://doi.org/10.1002/clen.202400009","url":null,"abstract":"<div>\u0000 \u0000 The prediction of pollutants removal efficiency from the generated effluent of a treatment plant is valuable and can reduce the time, sampling and energy required during performance assessment. The present study aims to predict the effect of different input parameters on the treatment efficiency of the developed microbial-based anaerobic process for textile effluent using machine leaning algorithms. The decolourisation and chemical oxygen demand (COD) reduction of the treated effluent were predicted on the basis of the three different input parameters pH, COD and colour value of the textile wastewater. The effectiveness of different machine learning algorithms, support vector machines (SVM), random forest (RF), gradient boost regressor (GBR), AdaBoost, extreme gradient boosting (XGB) regressor and voting regressor, were evaluated based on the correlation coefficient (R2) value. The results revealed that the RF achieved the highest accuracy for decolourisation (training data R2: ∼0.85 and test data R2: ∼0.84) as well as COD reduction (training data R2: ∼0.87 and test data R2: ∼0.94) compared to the other algorithms. These results were validated experimentally, confirming that RF can be used as a tool to predict the performance efficiency of a microbial-based treatment system.\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113172","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 Comprehensive Review on the Biofilm-Mediated Removal of Nitrogen and Chemical Oxygen Demand From Different Wastewater Sources 生物膜对不同废水源中氮和化学需氧量的去除研究综述

IF 1.5 4区环境科学与生态学

Clean-soil Air Water Pub Date : 2024-11-07 DOI: 10.1002/clen.202300282

Modhurima Misra, Pranati Das, Anshita Mehra, Soham Chattopadhyay

{"title":"A Comprehensive Review on the Biofilm-Mediated Removal of Nitrogen and Chemical Oxygen Demand From Different Wastewater Sources","authors":"Modhurima Misra, Pranati Das, Anshita Mehra, Soham Chattopadhyay","doi":"10.1002/clen.202300282","DOIUrl":"https://doi.org/10.1002/clen.202300282","url":null,"abstract":"<div>\u0000 \u0000 Discharging effluents with high chemical oxygen demand (COD) and nitrogen content into the environment threatens human and aquatic life. An increase in nitrogen load results in depletion of dissolved oxygen (DO), eutrophication, ecological stress, and biodiversity loss. Intake of water containing excess nitrate can cause different diseases. Conventional physicochemical nitrogen removal techniques are expensive and also generate secondary pollutants. In contrast, biological methods offer effective and economical outcomes with global acceptance. Biofilm-based techniques have the advantages of low space requirement, resistance toward toxic shocks, and absence of sludge backflow. The carriers used in biofilm reactors allow the growth of heterogeneous microbial consortia, which can simultaneously remove COD, nitrogenous compounds, and phosphates. This review aims to summarize the outcomes of the individual lab-scale research in this area, critically analyze the scientific findings, and understand the research gap. Conventional nitrification–denitrification and anammox have often been replaced by more efficient approaches such as simultaneous nitrification–denitrification, partial nitrification–denitrification, partial nitritation and anammox, and simultaneous partial nitrification, anammox, and denitrification. Multistage moving bed biofilm reactors have been specially designed with step feeding for complete nitrogen removal. Through anammox in a sequencing batch reactor, a high rate of denitrification could be obtained, whereas simultaneous nitrification–denitrification using a membrane bioreactor resulted in almost complete removal of nitrogen. We expect that this review will provide the direction for designing experiments on enhanced removal of nitrogen and COD from different wastewater sources using microbial biofilms.\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 12","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867969","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

Water Quality Evaluation With Entropy Weight‒Grey Correlation Technique for Fishing Operation Area in Tianjin, China 基于熵权-灰色关联技术的天津渔区水质评价

IF 1.5 4区环境科学与生态学

Clean-soil Air Water Pub Date : 2024-11-07 DOI: 10.1002/clen.202300356

Hui Yuan, Shaoqiang Han, Ye Tian, Ying Zhang, Zhe Bo, Jiahong Liu

{"title":"Water Quality Evaluation With Entropy Weight‒Grey Correlation Technique for Fishing Operation Area in Tianjin, China","authors":"Hui Yuan, Shaoqiang Han, Ye Tian, Ying Zhang, Zhe Bo, Jiahong Liu","doi":"10.1002/clen.202300356","DOIUrl":"https://doi.org/10.1002/clen.202300356","url":null,"abstract":"The discharge of domestic sewage and waste oil from fishery activities can cause adverse impacts on coastal seawater in bays and estuaries. The Bohai Sea near Tianjin features strong water closure and weak self-purification ability. The objective evaluation and analysis of pollution characteristics are crucial for assessing the quality of coastal seawater. This evaluation is essential for the sustainable development of traditional marine fisheries and serves as a powerful tool for government decision-making. To this end, we constructed an entropy weight‒grey correlation technique for order preference by similarity to an ideal solution (TOPSIS) model (EWGCT) based on the traditional TOPSIS evaluation approach to evaluate the water quality of five fishing ports and operation areas. The spatial distribution characteristics, pollution characteristics, and key impactful indicators were identified via a geographic information system (GIS) and multivariate statistical analysis. The results show that (1) the EWGCT has the ability to rank water quality universally and evaluate it based on the comprehensive impact of all pollution factors; (2) petroleum (PETRO) was affected mainly by the waste oil discharged, and suspended solids (SS), dissolved inorganic phosphate (DIP), and fecal coliform bacteria (FCB) were affected mainly by the domestic sewage discharged; and (3) effective management of fishing vessel discharge is important for ensuring the quality of the seawater environment. By establishing the EWGCT, the reliability and rationality of the evaluation results are verified, which can provide a reference for the formulation of development strategies for coastal cities.","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/clen.202300356","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112877","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

Effect of Intercropping Soybean on the Diversity of the Rhizosphere Soil Arbuscular Mycorrhizal Fungi Communities in Wheat Field 间作大豆对小麦田根瘤土壤丛枝菌根真菌群落多样性的影响

IF 1.5 4区环境科学与生态学

Clean-soil Air Water Pub Date : 2024-10-25 DOI: 10.1002/clen.202400348

Lu Xingli

{"title":"Effect of Intercropping Soybean on the Diversity of the Rhizosphere Soil Arbuscular Mycorrhizal Fungi Communities in Wheat Field","authors":"Lu Xingli","doi":"10.1002/clen.202400348","DOIUrl":"https://doi.org/10.1002/clen.202400348","url":null,"abstract":"CLEAN—Soil, Air, Water, 2022, 50 (6). 2100014. http://doi.org/10.1002/clen.202100014.In the initially published article, the units of the crop yield in Table 5 were calculated in jin mu−1, not kg hm−2 due to my careless. 1 jin mu−1 = 500 g/666.67 m2.In the published article, Table 5 is given as:The new version of the table is:Further, on Page 4, Section 2.5 “Effects of Different Intercropping Models on Crop Yield,” the current sentence:“The group yield was highest under the RSW model (1515.97 kg ha−1).” should be given as:“The group yield was highest under the RSW model (11369.76 kg ha−1).”In addition, the study was supported by National Natural Science Foundation of China (31860361), The fourth lifting project of Ningxia young scientific and technological talents (TJGC2019075), National Natural Science Foundation of Ningxia (2019AAC03055).The calculation error does not affect the results or conclusions of the manuscript. The author apologizes for any inconvenience or misunderstanding that this error may have caused.","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 11","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/clen.202400348","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142666090","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

Short-Term Benefits of Tillage and Agronomic Biofortification for Soybean–Wheat Cropping in Central India 印度中部大豆-小麦作物耕作和农艺生物强化的短期效益

IF 1.5 4区环境科学与生态学

Clean-soil Air Water Pub Date : 2024-10-12 DOI: 10.1002/clen.202300300

Raghavendra Nargund, Rakesh Kumar Verma, Aketi Ramesh, Mahaveer Prasad Sharma, Hanamant Mudakappa Halli, Prabhu Govindasamy

{"title":"Short-Term Benefits of Tillage and Agronomic Biofortification for Soybean–Wheat Cropping in Central India","authors":"Raghavendra Nargund, Rakesh Kumar Verma, Aketi Ramesh, Mahaveer Prasad Sharma, Hanamant Mudakappa Halli, Prabhu Govindasamy","doi":"10.1002/clen.202300300","DOIUrl":"https://doi.org/10.1002/clen.202300300","url":null,"abstract":"<div>\u0000 \u0000 In a changing climate, conservation tillage and agronomic biofortification are essential for enhancing crop yield, nutritional security, carbon stocks, and soil quality. Consequently, a field study was conducted in central India to assess the short-term (4 years) effects of crop establishment techniques (CETs) and agronomic biofortification methods (ABMs) on soil health indicators, grain yield, and quality in the soybean–wheat cropping system. The experiment followed a split-plot design with two CETs in the main plots (permanent broad bed furrow, PBBF, and conventional tillage, CT) and eight ABMs, each with three replications. The results indicated that PBBF and ABMs (seed inoculation with the microbial strains MDSR 14 + MDSR 34, and soil and foliar application of Zn+Fe) improved soil carbon stock (by 49.6% and 52.4%), available nitrogen, phosphorus, potassium, available Zn (by 30.0%), and Fe (by 21.9%) after the fourth year of the study. Similarly, PBBF and microbial inoculation increased soil enzyme activities (dehydrogenase, acid phosphatase, and β-glucosidase), substrate-induced respiration, and microbial biomass carbon content. As a result, a higher soybean equivalent yield (5.59% higher in PBBF and 14.2% higher with foliar spray of Zn+Fe) and seed quality attributes (crude protein yield, grain Zn, and Fe) were observed in PBBF and the foliar spray of Zn and Fe treatments compared to CT and control, respectively. Overall, adopting the short-term PBBF system, microbial inoculation, and soil and foliar application of Zn and Fe improved rhizosphere biochemical properties, yield, and seed quality in the soybean–wheat system.\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 11","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665836","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

Issue Information: Clean Soil Air Water. 10/2024 问题信息：清洁土壤、空气和水。10/2024

IF 1.5 4区环境科学与生态学

Clean-soil Air Water Pub Date : 2024-10-11 DOI: 10.1002/clen.202470101

引用次数: 0

Microbial Degradation of Polyester Microfibers Using Indigenously Isolated Bacterial Strain Exiguobacterium Sp. 利用本土分离的细菌菌株 Exiguobacterium Sp.

IF 1.5 4区环境科学与生态学

Clean-soil Air Water Pub Date : 2024-10-09 DOI: 10.1002/clen.202300343

Sunanda Mishra, Debasis Dash, Alok Prasad Das

{"title":"Microbial Degradation of Polyester Microfibers Using Indigenously Isolated Bacterial Strain Exiguobacterium Sp.","authors":"Sunanda Mishra, Debasis Dash, Alok Prasad Das","doi":"10.1002/clen.202300343","DOIUrl":"https://doi.org/10.1002/clen.202300343","url":null,"abstract":"<div>\u0000 \u0000 Synthetic microfibers are emerging environmental microplastic pollutants released from different industrial and domestic sources. The present investigation describes the isolation of potential bacterial strains from microplastic-contaminated sites of Bhubaneswar city of Odisha, India. Four morphologically distinct bacterial strains were isolated using 2% polyethylene glycol (PEG) supplemented nutrient agar (NA) medium and were screened for their polymer tolerance ability by growing them on 2%–8% PEG. A single microorganism capable of growing on 8% PEG was selected for biodegradation experiment. Through 16S rRNA sequencing, the selected bacterial strain was identified as Exiguobacterium sp. with gene bank accession number ON318396. The microbial strain's microfiber biodegradation ability was assessed in a laboratory setting over a period of 28 ± 2 days, utilizing optimized conditions with an initial pH of 7, 2 mL inoculum volume, an incubation temperature of 30°C ± 2°C, and 150 rpm, using 2 g of polyester microfiber. In optimum conditions, the weight loss of the treated sample with the selected microbial strain was 19.2%. The polyester degradation was confirmed through scanning electron microscopic images viewing the degradation of the polyester microfiber surfaces. Variation in functional groups confirmed through Fourier transform infrared spectrophotometry. Detection of carbonyl (C═O) group stretching band at 1711 cm−1 through ATR-FTIR analysis in the treated sample confirmed the polymer biodegradation. The potential isolate can efficiently degrade polyester and, in the future, can be employed as a promising solution for the sustainable treatment of synthetic microfiber pollution.\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 12","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142868331","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

Geochemical Interaction and Bioavailability of Zinc in Soil Under Long-Term Integrated Nutrient Management in Pearl Millet–Wheat System 珍珠米-小麦系统长期综合养分管理下土壤中锌的地球化学相互作用和生物利用率

IF 1.5 4区环境科学与生态学

Clean-soil Air Water Pub Date : 2024-10-08 DOI: 10.1002/clen.202400232

Diksha Saroha, Narender Yadav, Raj Mukhopadhyay, Dev Raj, Manoj Kumar Sharma, Rohtas Kumar, Anil Duhan

{"title":"Geochemical Interaction and Bioavailability of Zinc in Soil Under Long-Term Integrated Nutrient Management in Pearl Millet–Wheat System","authors":"Diksha Saroha, Narender Yadav, Raj Mukhopadhyay, Dev Raj, Manoj Kumar Sharma, Rohtas Kumar, Anil Duhan","doi":"10.1002/clen.202400232","DOIUrl":"https://doi.org/10.1002/clen.202400232","url":null,"abstract":"<div>\u0000 \u0000 The degree and severity of zinc (Zn) deficiency in soil reduced the agricultural yield and quality, thus encouraging malnutrition in humans worldwide. The study was hypothesized to increase the bioavailability and release of Zn in soil and Zn biofortification in wheat grains under integrated nutrient management (INM). The long-term (54 years) experiment laid out in a split-plot design comprising single (W) and dual (PW) applications of farmyard manure (FYM) (0, 5, 10, and 15 Mg ha−1) and nitrogen (0, 60, and 120 kg ha−1) was studied to understand the distribution of different Zn fractions in soil and their relationship to wheat grain yield and Zn uptake. A laboratory incubation study was performed on surface soils to evaluate the release kinetics of native Zn at field capacity. The different fractions of Zn in soil increased with increasing frequency and levels of FYM application. Residual Zn constituted the maximum proportion (89.03%) of total soil Zn. A high positive correlation (p < 0.01) of diethylenetriaminepentaacetic acid (DTPA)-extractable Zn and total grain Zn content were observed with different Zn fractions. The release kinetics of native soil Zn increased up to 10 days and became almost constant, indicating the establishment of chemical equilibria between the soil solid and solution phase. Thus, long-term INM ensured higher wheat production (6.08 Mg ha−1) and Zn biofortification (38.95 mg kg−1) to combat Zn malnutrition and achieve the United Nations’ sustainable development goals on “zero hunger” and “good health and well-being.”\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 11","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665834","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 Perspective on Green Solutions and Future Research Paths for Microplastic and Nanoplastic Contamination in Drinking Water 饮用水中微塑料和纳米塑料污染的绿色解决方案及未来研究路径展望

IF 1.5 4区环境科学与生态学

Clean-soil Air Water Pub Date : 2024-10-03 DOI: 10.1002/clen.202400104

Sadashiv Chaturvedi, Amit Kumar, Liu Min, Rupesh Kumar

{"title":"A Perspective on Green Solutions and Future Research Paths for Microplastic and Nanoplastic Contamination in Drinking Water","authors":"Sadashiv Chaturvedi, Amit Kumar, Liu Min, Rupesh Kumar","doi":"10.1002/clen.202400104","DOIUrl":"https://doi.org/10.1002/clen.202400104","url":null,"abstract":"<div>\u0000 \u0000 The detection of microplastics (MPs) and nanoplastics (NPs) in drinking water sources has raised global concerns about the ability of conventional water and wastewater treatment facilities. There is health risk associated with the ingestion of plastic particles, such as particle toxicity or chemical toxicity. Therefore, improvement in the research and development (R & D) for detection and remediation techniques is critical to address the current challenge posed by the complex behavior of MPs. Understanding the transport behavior of MPs within drinking water treatment plants (DWTPs) is crucial to enhance the treatment processes of drinking water supply. The prevalence, fate, and circulation of MPs in freshwater ecosystems, coupled with its potential consequences for human health and climate change, have all been widely reported in scientific literature. However, a noticeable gap exists in global research concerning the occurrence of MPs and NPs in potable water and the accompanying health risk. This viewpoint introduces an innovative perspective on the primary challenges, remediation technologies, and sustainable green strategies for addressing MPs/NPs in potable water. The proposed strategies along with artificial intelligence (AI) and machine learning (ML) techniques and identified research gaps could serve as valuable resources for hydrologists, environmentalists, biotechnologists, and policymakers, prompting them to consider strategic mitigation measures to alleviate future health risks associated with MPs/NPs.\u0000 </div>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111438","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