The pollution halo effect of technology spillover and pollution haven effect of economic growth in agricultural foreign trade: two sides of the same coin?

Environmental Science and Pollution Research - The existing literature on the environmental Kuznets curve (EKC) fails to investigate the spatial attribute of the “pollution halo” effect...     

A comparison analysis of the decoupling carbon emissions from economic growth in three industries of Heilongjiang province in China

Environmental Science and Pollution Research - Growing environmental pressure urges China to develop in a sustainable and low carbon way, and thus China strives to achieve a carbon peak by 2030 and...     

Association between air pollution and COVID-19 infection: evidence from data at national and municipal levels

Environmental Science and Pollution Research - The impact of high concentrations of air pollution on COVID-19 has been a major air quality and life safety issue in recent studies. This study aimed...     

Optimal Absorbent Evaluation for the CO2 Separating Process by Absorption Loading,Desorption Efficiency,Cost, and Environmental Tolerance

The CO₂ absorption capacities of potassium glycinate, potassium sarcosinate (choline, proline), mono-ethanolamine (MEA), and tri-ethanolamine were evaluated to find the optimal absorbent for separating CO₂ from gaseous products by a CO₂ purification process. The absorption loading, desorption efficiency, cost, and environmental tolerance were assessed to select the optimal absorbent. MEA was found to be the optimum absorbent for separating the CO₂ and H₂ mixture in gaseous product. The maximum absorption loading rate was 0.77 mol CO₂ per mol MEA at temperature of 20°C and absorbent concentration of 2.5 mol/L, whereas desorption efficiency was 90% by heating for 3 h at 130°C. MEA was found to be an optimal absorbent for the purification process of CO₂ during gaseous production.     

洪涝灾害条件下疏散交通生成预测方法

为有助于有关部门更准确预测洪涝灾害受灾民众的疏散量,结合非集计数据和集计数据的优点,提出分区集计数据的概念,设计了受灾区域分区方法,并通过意向偏好(SP)调查法对我国居民在洪涝条件下疏散交通需求数据进行调查。在此基础上,引入BP神经网络建立基于分区集计数据的疏散交通生成预测模型。利用调查数据进行实证分析发现,所设计方法取得了较好的预测效果,鲁棒性较好,平均相对预测误差仅为1.8%,其预测效果明显优于现有的非集计和整集计模型。     

Low digestibility of phytate phosphorus,their impacts on the environment,and phytase opportunity in the poultry industry

Environmental Science and Pollution Research - Phosphorus is an essential macro-mineral nutrient for poultry, needed for the body growth, development of bones, genomic function, good...     

Characteristic and mechanism of sorption and desorption of benzene on humic acid

Environmental Science and Pollution Research - The sorption/desorption behaviors of benzene, toluene, ethylbenzene, and xylene (BTEX) on soil organic matter (SOM) have a significant influence on...     

Correction to: Preparation of GO/MIL-101(Fe,cu) composite and its adsorption mechanisms for phosphate in aqueous solution

Environmental Science and Pollution Research - A Correction to this paper has been published: https://doi.org/10.1007/s11356-021-15526-6     

中国安全防范产品行业协会第三届第三次理事(扩大)会议总结

各位理事、各位来宾、同志们、朋友们: 为期三天的中国安全防范产品行业协会第三届第三次理事(扩大)会议,完成了各项预定议程,顺利结束.     

长江流域的昆虫病毒资源及其开发利用

在长江流域已发现约１３０种昆虫病毒，其中多数属杆状病毒科。昆虫病毒作为杀虫剂在本地区广泛应用，防治棉花、森林、茶树、蔬菜和牧草上的害虫，克服了化学农药的一些缺点，取得了良好的生态效益和经济效益。近年来还进行了杆状病毒表达载体的研究，该系统的研制已用于高水平表达具有生物活性的外源基因产物，获得医药产品，或者组建更有效的基因工程病毒杀虫剂。