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...     

异龙湖沉水植物分布格局与水环境因子相关性研究

异龙湖为中国云南九大高原湖泊之一,是处于草型向藻型湖泊转化节点上的典型高原湖泊,因历史原因,异龙湖东西湖区水环境条件差异较大,可较好的代表云南高原草型及藻型湖泊类型,因此研究异龙湖的沉水植物时空分布与水环境因子关系,对于我国高原湖泊的保护具有重要意义,且自1980年以来异龙湖沉水植物相关研究成果较少,因此,本研究在异龙湖开展为期一周年的水环境因子及沉水植物调查,对沉水植物分布格局及其与水环境因子之间相互关系进行了研究,以期为异龙湖的沉水植物研究留下珍贵的历史资料,并探索异龙湖沉水植物分布格局及其影响因子,为沉水植物恢复提供数据及技术支撑.结果表明:东西湖区沉水植物的群落结构具有显著差异,西湖区小茨藻(Najas minor All.)、狸藻(Utricularia vulgaris L)、轮叶黑藻(Hydrilla verticillata)等为优势种,东湖区篦齿眼子菜(Potamogeton pectinatus L)、狐尾藻(Myriophyllum verticilla-tum L)为优势种,且西湖区沉水植物的生物量及物种丰度显著高于东湖区.通过相关性分析看出水深、透明度、溶解氧是影响异龙湖沉水植物分布的主要环境因子,总氮、总磷、氨氮及pH是次要影响因子,异龙湖在现状条件下恢复沉水植物应针对不同湖区恢复采用不同的恢复策略,选择不同的沉水植物种类开展恢复工作.     

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...     

两种水生昆虫头宽与基于图像分析的大小参数关系性分析

对于水生昆虫及其它生物而言,大小是一个重要的功能性状,但是头宽的测量特别耗时和受人为因素影响.随着计算机技术的发展,基于图像分析技术(一种快速测量大小的策略)可获得传统方式难以获得的大小参数,明确这些大小参数与头宽的关系,对推动这些参数的应用具有重要意义.选择两种个体大小差异较大的蜉蝣(梧州蜉和光滑细蜉)作为研究对象,对其头宽与基于数字图像获得的面积,周长,最小矩形的长和宽,最适合椭圆的长轴和短轴和粒径等个体大小参数的相关性进行研究.数字图像采用改进后的描述仪扫描获取;图像分析基于ImageJ软件完成;基于二元直线回归和多元直线回归分析各参数之间的相关性.各种层次的回归分析结果均表明:基于图像分析获得的两种蜉蝣所有个体大小参数均与头宽大小呈极其显著的正相关性,其中面积的相关性最高.并且面积与其它大小参数相关性也极其显著,对个体大小具有较好的代表性.研究结果为推动数字图像分析技术应用在水生昆虫及其它生物的生物学和生态学研究中提供了技术支持和理论依据.     

The application of system dynamics in different practices of a waste management system

The continuous increase in waste generation warrants global management of waste to reduce the adverse economic, social, and environmental impact of waste while achieving goals for sustainability. The complexity of waste management systems due to different waste management practices renders such systems difficult to analyze. System dynamics (SD) approach aids in conceptualizing and analyzing the structure, interactions, and mode of behavior of the complex systems. The impact of the underlying components can therefore be assessed in an integrated way while the impact of possible policies on the system can be studied to implement appropriate decisions. This review summarizes various applications of SD pertinent to the waste management practices in different countries. Practices may include waste generation, reduction, reuse/recovery, recycling, and disposal. Each study supports regional-demanding targets in environmental, social, and economic scopes such as expanding landfill life span, implementing proper disposal fee, global warming mitigation, energy generation/saving, etc. The interacting variables in the WMS are specifically determined based on the defined problem, ultimate goal, and the type of waste. Generally, population and gross domestic product can increase the waste generation. An increase in waste reduction, source separation, and recycling rate could decrease the environmental impact, but it is not necessarily profitable from an economic perspective. Incentives to separate waste and knowledge about waste management are variables that always have a positive impact on the entire system.

     

Personal exposure to PM2.5-bound heavy metals associated with cardiopulmonary function in general population

Environmental Science and Pollution Research - To better understand the cardiopulmonary alterations associated with personal exposed PM2.5-bound heavy meals, we conducted a cross-sectional study in...     

Effects of environmental regulation on firm entry and exit and China’s industrial productivity: a new perspective on the Porter Hypothesis

Environmental Economics and Policy Studies - This paper dissects the effects of environmental regulation on the productivity of pollution-intensive industries and by doing so offers a new...     

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

● Established a quantification method of pollutant emission standard. ● Predicted the SO₂ emission intensity of single coking enterprises in China. ● Evaluated the influence of pollutant discharge standard on prediction accuracy. ● Analyzed the SO₂ emissions of Chinese provincial and municipal coking enterprises. Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China’s coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China’s current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and theR² increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO₂ emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO₂ emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.     

Comparison on surface properties and desulfurization of MnO2 and pyrolusite blended activated carbon by steam activation

In this study, MnO₂ and pyrolusite were used as the catalysts to prepare modified activated carbon, that is, AC-Mn and AC-P, respectively, from coals by blending method and steam activation. The Brunauer–Emmett–Teller (BET) results indicated that the AC-P had higher surface areas and micropore volumes than the AC-Mn with the same blending ratio. The relative contents of basic functional groups (i.e., C = O, π-π*) on AC-P were slightly lower than those on AC-Mn, while both contained the same main metal species, namely, MnO. The desulfurization results showed that with 3 wt% of blending ratio, AC-Mn3 and AC-P3 had higher sulfur capacities at 220 and 205 mg/g, respectively, which were much higher than for the blank one (149.6 mg/g). Moreover, the AC-P had relatively higher sulfur capacity than the AC-Mn with the same contents of Mn, which might be attributed to the existence of other metals in pyrolusite. After the desulfurization process, MnO were gradually transferred into MnSO₄, and the relative contents of basic functional groups decreased evidently for both AC-Mn3 and AC-P3. The results demonstrated that pyrolusite could be one good alternative to MnO₂ to prepare modified activated carbon for desulfurization.

Implications: MnO₂ and pyrolusite were used as the additives to prepare modified activated carbon from coals by a blending method and by steam activation, that is, AC-Mn and AC-P, respectively. The AC-P had higher surface areas and micropore volumes than the AC-Mn with the same blending ratio. The AC-Mn and AC-P had higher sulfur capacities than a blank one. Moreover, the AC-P had relatively higher sulfur capacity than the AC-Mn with the same contents of Mn. The results demonstrated that pyrolusite could be one good alternative to MnO₂ to prepare modified activated carbon for desulfurizatio.     

珠江口表层水中多环芳烃的分布特征及健康风险评估

分别于2015年2、5、8、11月在珠江八大入海口采集表层水体样品,应用固相萃取富集法对该区域表层水体中16种USEPA优控多环芳烃(PAHs)的时空分布特征进行分析,并利用终生致癌风险增量模型(ILCR)对该区域的饮水健康风险进行评价。结果表明:珠江口4个季度所采集的水样中,∑15PAHs的浓度范围为18.0~50.3 ng/L,含量处于中等水平。其中7种强致癌性∑7PAHs的浓度范围为1.53~3.73 ng/L,占∑15PAHs的5.89%~11.1%,∑15PAHs和∑7PAHs在枯水期(2、11月)样品中明显高于丰水期(5、8月)。就组成特征而言,各采样点PAHs以3、4环为主。珠江口表层水中非致癌类PAHs的危害商数值为0.99×10~(-5)~2.73×10~(-5),远低于USEPA规定的阈值(1);致癌类PAHs产生的健康风险为6.50×10~(-8)~2.37×10~(-7),其中Ba P导致的饮水途径健康风险最高,所有点位致癌类PAHs的健康风险均低于USEPA推荐的对致癌物质最大可接受风险水平(10~(-6)),表明珠江口表层水中PAHs尚不具备严重的致癌风险,但是仍然存在潜在的健康风险,需要重点控制和管理。