Is it an opportunity? COVID-19’s effect on the green supply chains,and perceived service’s quality (SERVQUAL): the moderate effect of big data analytics in the healthcare sector

Environmental Science and Pollution Research - This study examines the relationship between uncertainty-fear toward COVID-19, green supply chain management (GSCM), and perceived service quality...     

Selenium status of children in Kashin–Beck disease endemic areas in Shaanxi,China: assessment with mercury

Environmental Geochemistry and Health - The causes of Kashin–Beck disease (KBD) in children are multifactorial, and particular consideration has been given to childhood selenium (Se)...     

Optimization of bio-drying of kitchen waste: inoculation,initial moisture content and bulking agents

Journal of Material Cycles and Waste Management - Bio-drying has been proved to be a promising method for treatment of MSW (municipal solid waste) and sewage sludge due to its high energy...     

The relationship between corporate social responsibility disclosures and financial performance: a mediating role of employee productivity

This study is trying to explore the relationship between corporate social responsibility (CSR) disclosures and financial performances (FP) through mediating role of the employee productivity (EP). This study classifies the CSR performances into four contexts, for instance, environment social governance (ESG), environmental improvement activity scores of CSR, social welfare activity score, and governance structure improvement score. The banking performance is classified into three different aspects such as returns on assets (ROA), returns on equity (ROE), and nominal interest margin profit (NIMP). The study covers the data set start from 2008 to 2019 regarding thirty commercial banks of China. The study uses the linear, non-linear, and quadratic techniques to explore the association between CSR disclosures and banking performances. The linear model result shows that the governance score is significant influencing the banking performance. Moreover, the employee productivities are also positive significant affecting the baking performances. The non-linear results of model show that composite score of ESG with employee productivity has significant influence on financial performance.

     

Biodegradable microplastics (BMPs): a new cause for concern?

Environmental Science and Pollution Research - With the increasingly serious pollution of plastics, biodegradable plastics (BDPs) have attracted attention as a new material that can replace...     

Groundwater geochemical signatures and implication for sustainable development in a typical endorheic watershed on Tibetan plateau

Environmental Science and Pollution Research - Groundwater resource is significantly important for sustainable development of the world, especially for arid endorheic watersheds. A total of 28...     

以农田高盐排水为替代镁源回收养殖废水中的磷素

为解决新疆南疆地区养殖废水高浓度氮磷和农田排水中的高浓度盐分的协同污染问题,以农田高盐排水为镁源对模拟养殖废水中的磷进行了回收实验,对比了高盐排水和常规镁源的磷回收效率,探讨了影响其回收的主要因素,并通过正交试验获得了高盐排水回收磷的最优反应条件.与常规MgC12镁源的磷回收对比分析结果表明,pH=10时高盐排水回收磷的效率最高,比MgCl2镁源达最大回收率所需的反应pH略高;利用L34正交试验探究了pH(8、9、10、11)、Mg:P摩尔比(1.0、1.5、2.0、2.5)、N:P摩尔比(1.0、1.5、2.0、4.0)对高盐排水镁源回收磷的影响,并结合SPSS统计分析得到高盐排水回收磷的最优反应条件为pH=10、n(Mg):n(P)=2.5,n(N):n(P)=4;高盐排水中的HCO3-和SO42-离子对磷回收有抑制作用,而Ca2+离子对磷回收有促进作用;XRD和SEM-EDS分析表明,高盐排水回收磷的产物以鸟粪石为主,并夹杂着磷灰石和粘土矿物等杂质.整体上,以高盐排水作为替代镁源回收磷的效果较好,本研究为解决鸟粪石沉淀法的镁源问题提供了一种新思路.     

一种简便高效的土壤石油烃提取方法的建立

通过开展单因子实验与正交实验,考察不同参数下超声萃取法对土壤中总石油烃(TPH)的提取效率,并对比了超声萃取法、超声-索氏萃取法及传统索氏萃取法对不同原油污染土壤的提取效果。结果表明:超声萃取法的最优工作参数为20 m L二氯甲烷,超声10 min,4000 r/min离心10 min,萃取4次。3种提取方法中,超声萃取法对石油烃平均回收率最高,为100.95%,而传统的索氏萃取法最低,仅为94.54%。可见,超声萃取法操作简单,效率高,可广泛用于土壤中总石油烃含量的提取测定。     

Predicting vehicle fuel consumption patterns using floating vehicle data

The status of energy consumption and air pollution in China is serious. It is important to analyze and predict the different fuel consumption of various types of vehicles under different influence factors. In order to fully describe the relationship between fuel consumption and the impact factors, massive amounts of floating vehicle data were used. The fuel consumption pattern and congestion pattern based on large samples of historical floating vehicle data were explored, drivers'' information and vehicles'' parameters from different group classification were probed, and the average velocity and average fuel consumption in the temporal dimension and spatial dimension were analyzed respectively. The fuel consumption forecasting model was established by using a Back Propagation Neural Network. Part of the sample set was used to train the forecasting model and the remaining part of the sample set was used as input to the forecasting model.     

世界主要国家海洋环境监测情况及对我国的启示

我国的海洋环境监测工作已经取得了长足进步,但与发达国家相比还存在差距,对国际先进经验和技术进行学习与借鉴是非常重要的。本文主要分析了美国、加拿大、日本、韩国和芬兰等国家的海洋环境监测情况,主要从海洋环境监测机构、海洋环境监测项目和海洋环境监测参数等方面进行了介绍和研究,提出了国际海洋环境监测的特点,并在此基础上从监测制度、监测体系和国际交流合作三个方面对我国海洋环境监测提出建议。