Exploring the embodied carbon flow interactive relationships in China from an ecological network perspective: a model framework and application at provincial level

Environmental Science and Pollution Research - Energy-related carbon emissions take a large proportion in China, and the interregional trade caused by provincial disparities has led to significant...     

A bibliometric and content analysis of research trends on GIS-based landslide susceptibility from 2001 to 2020

Environmental Science and Pollution Research - To assess the status of hotspots and research trends on geographic information system (GIS)–based landslide susceptibility (LS), we analysed...     

碳布负载的Co3O4纳米片阵列阳极对微生物燃料电池产电性能的影响

微生物燃料电池（MFCs）是一种在处理废水的同时产生电能的新型装置,阳极作为产电微生物富集、电子产生和传递的区域对提高MFCs的性能具有至关重要的作用。以碳布负载的四氧化三钴多孔纳米片阵列(Co₃O₄/CC)作为阳极,探究了可调控的纳米片孔缺陷对MFCs产电性能的影响。结果表明：Co₃O₄/CC阳极的产电性能显著优于碳布,且正比于Co₃O₄纳米片的孔隙率;液固界面处的电荷传递电阻(R_ct)由729.20 Ω降至43.48 Ω,所获得的最大功率密度由1275 mW·m⁻²增加至1547 mW·m⁻²。本研究开发了一种孔结构可控的金属氧化物负载碳布策略,所制备的高性能阳极材料可为MFCs的性能提升提供参考。     

不同环境因素对厌氧甲烷氧化型自养反硝化系统脱氮性能的影响及其微生物群落分析

采用序批实验研究了不同环境因素(甲烷供应、初始硝氮浓度和pH值)对厌氧甲烷氧化型反硝化系统脱氮性能的影响,并采用高通量测序对不同pH下反应器内微生物群落结构进行了分析.结果 表明:当甲烷供给充足时,系统反硝化效果明显;随着初始硝氮浓度的升高,系统平均脱氮率呈现先升高后下降的趋势,表明适当增大硝氮质量浓度(＜30 mg·...     

含污泥坑生活垃圾填埋场竖向扩容工程稳定沉降分析

为减少生活垃圾填埋场内污泥坑的存在给填埋场后期竖向扩容工程带来的难度,以辽宁省某含污泥坑生活垃圾填埋场为例,对其竖向扩容工程进行了工艺设计和验证分析。根据工程目标和相关规范,合理确定了扩容后填埋场整体平面布置和填埋堆高等参数,选用原位固化技术对污泥进行了加固处理,并确定了处理后污泥的力学参数设计值。使用Geo-Slope软件,建立了扩容后填埋场堆体边坡的计算模型,并分析和评价了3种不同工况边坡抗滑稳定性的影响。基于理正岩土软件,对填埋场垃圾堆体进行了沉降计算,并根据沉降分析结果进一步确定了防渗系统设计方案。结果表明：污泥坑加固处理后,各工况下的垃圾堆体边坡抗滑稳定安全系数均满足规范要求;固化处理后污泥的相关强度等指标均满足垃圾堆体竖向扩容设计要求;防渗系统最大伸长率为0.4%,满足规范要求;防渗结构中设置了抗沉降加筋层,可抵抗垃圾堆体的不均匀沉降。本研究成果可为国内同类型生活垃圾填埋场的竖向扩容工程工艺设计提供参考和借鉴。     

Metagenomic analysis reveals the effects of cotton straw–derived biochar on soil nitrogen transformation in drip-irrigated cotton field

Environmental Science and Pollution Research - Biochar has been widely accepted as a soil amendment to improve nitrogen (N) use efficiency, but the effect of biochar on N transformation metabolic...     

TiO2 photocatalytic degradation of PCBs in soil-water systems containing fluoro surfactant

Titanium dioxide-mediated photodegradation of Polychlorinated biphenyls (PCBs) in soil/aqueous systems with added fluorinated surfactant was investigated. PCBs can bind tightly to organic matter in the soil, especially in aged, contaminated soil. Experiments showed an effective PCB photocatalytic degradation in mixed systems of soil/clay with anionic fluorinated surfactant FC-143 and TiO2. The FC-143 surfactant is stable in this photochemical process. PCB degradation rates in samples followed the order: spiked clay > spiked soil > Hudson River bank soil. The results suggest that anionic fluorinated surfactant may form semimicelles and/or admicelles on the surface of positively charged TiO2. The hydrophobic surface of TiO2 can provide a nonpolar phase that acts as a partioning medium for hydrophobic PCBs. Therefore, PCBs in soil can be released to the semimicelle and/or admicelle on the TiO2 surface and are effectively photodegraded in a dispersion containing anionic fluorinated surfactant. The combination of surfactant extraction and photooxidation forms the basis for a novel two-stage process for the removal and destruction of PCBs from soil.     

Biodegradation of 2,4,6-trichlorophenol in the presence of primary substrate by immobilized pure culture bacteria

In this study, pure strains that are capable of utilizing 2,4,6-trichlorophenol have been isolated from the mixed culture grown on substrates containing chlorophenolic compounds. Studies have been carried out on the capability of these isolated pure strains in suspended and immobilized forms to decompose 2,4,6-trichlorophenol. Additionally, the influence of primary substrates (e.g., phenol, 2-chlorophenol, 3-chlorophenol, 4-chlorophenol, 2,4-dichlorophenol) on the decomposition of 2,4,6-trichlorophenol by the isolated pure strains grown in immobilized form is also investigated. The results are: Through bacterial isolation and identification, three pure strains have been obtained: Pseudomonas spp. strain 01, Pseudomonas spp. strain 02 and Agrobacterium spp. Whether in suspended or immobilized forms, all strains have poor removal efficiencies of 2,4,6-trichlorophenol. However, addition of 200 mg/l phenol will enable the immobilized Pseudomonas spp. strain 01, and Pseudomonas spp. strain 02 to achieve 65% and 48% removal of 2,4,6-trichlorophenol, respectively. Addition of phenol will assist the immobilized Pseudomonas spp. strain 02 in achieving removal of 2,4,6-trichlorophenol but the removal efficiency is not good if the phenol concentration is too low. The optimum phenol concentration should be between 200 and 400 mg/l.     

Forecasts using neural network versus Box-Jenkins methodology for ambient air quality monitoring data

This study explores ambient air quality forecasts using the conventional time-series approach and a neural network. Sulfur dioxide and ozone monitoring data collected from two background stations and an industrial station are used. Various learning methods and varied numbers of hidden layer processing units of the neural network model are tested. Results obtained from the time-series and neural network models are discussed and compared on the basis of their performance for 1-step-ahead and 24-step-ahead forecasts. Although both models perform well for 1-step-ahead prediction, some neural network results reveal a slightly better forecast without manually adjusting model parameters, according to the results. For a 24-step-ahead forecast, most neural network results are as good as or superior to those of the time-series model. With the advantages of self-learning, self-adaptation, and parallel processing, the neural network approach is a promising technique for developing an automated short-term ambient air quality forecast system.     

Effects of green spaces on alleviating mortality attributable to PM2.5 in China

Environmental Science and Pollution Research - Increasing research suggested that green spaces are associated with many health benefits, but evidence for the quantitative relationship between green...