太湖流域有机毒物污染现状与控制对策

富营养化控制一直以来是太湖水污染防治的重中之重,但太湖流域的有机毒物污染也不容忽视,已对饮用水安全构成潜在的威胁。从分析太湖流域工业污染现状入手,提出了化工、印染为太湖流域有机毒物污染的重要来源,阐述了对太湖流域进行有机毒物污染控制的重要性,总结了太湖流域有机毒物污染控制存在的问题,在此基础上,提出了太湖流域工业污染源有机毒物控制对策建议。     

平行岭谷区都市城郊耕地景观演变案例研究——以重庆市沙坪坝区为例

为研究都市城郊耕地景观的演变历程,总结耕地景观演变模式进而为未来研究区的农业资源合理利用和优化调控提供可借鉴性措施,以重庆市沙坪坝区为例,按其地貌特征从东至西划分为东部丘陵A区、岩溶低山B区、中部浅丘C区、西部岩溶低山D区4个区域,以1979年的MSS影像、1988、1995、2001、2007和2010年5个时期的TM影像为基本数据源,采用景观指数和定量表征指标,分析了沙坪坝区耕地景观空间格局演变、空间分布变化幅度及其种植结构引起的耕地景观功能变化。结果表明：A、B、C、D 4区耕地平均斑块面积在1979～2010年有了较大程度的减小,相应的斑块数目有了显著的增加,斑块密度呈现逐步增加的趋势,多样性指数和均匀度指数除了A区在逐步减小外,其他3区均呈增大趋势,耕地景观总体的破碎化程度增加了。2001年以前,除了A区快速减少外,各区耕地面积相对稳定;2001年为界限至今,A、C两区耕地演变属于快速消退型,B、D区则属于逐渐消退型。从2003年到2007年研究区种植作物类型及各区功能定位有所变化,研究区正处于从传统都市城郊农业向现代都市农业的转变中。研究区耕地景观从东部主城核心区到西部缙云山区,呈现跳跃突变式演变的特殊模式     

Formulation of criteria for pollution control on cement products produced from solid wastes in China

The process of producing cement products from solid waste can increase the level of pollutants in the cement products. Therefore, it is very important to establish a pollution control standard for cement products to protect the environment and human health. This paper presents acceptance limits for the availability of heavy metals in cement products which have been produced from solid wastes and explains how the limits have been calculated. The approach and method used to formulate these criteria were based on EN 12920. The typical exposure scenarios used in this paper involve concrete being used for drinking water supply pipelines and concrete pavements and are based on an analysis of typical applications of cement in China, and the potential for contact with water. The parameters of a tank test which was based on NEN 7375 were set in accordance with the environmental conditions of typical scenarios in China. Mechanisms controlling the release of heavy metals in concrete and a model for that release were obtained using the leaching test. Finally, based on acceptance criteria for drinking water and groundwater quality in China, limit values for the availability of heavy metals in concrete were calculated.     

陕西关中地区旅游流"井喷效应"的时空演变规律

旅游流"井喷现象"是特殊时段旅游流时空分布的特殊现象之一,其时空分布规律研究有助于旅游目的地的科学管理参照.选取关中地区旅游资源丰富的西安、宝鸡、华山三地作为案例,建立"黄金周"客流周内波动指数R,周内分布偏度指数G,并使用相关分析和Pearson相关系数,分析陕西关中地区特殊时段内旅游流"井喷效应"的时空演变规律.结果显示,在假日制度时间约束下,旅游流呈现"井喷现象"显著,一级旅游目的地城市的旅游资源属性、周边地区旅游资源配置和区位交通状况共同影响着游客的空间选择行为,从而影响区域旅游流的时间和空间分布.     

Fiscal spending and the environment: Theory and empirics

During economic crises, governments often increase fiscal spending to stimulate the economy. While the fiscal spending surge may be temporary, spending composition is often altered in favor of expenditures on social programs and other public goods which may persist over time. We model and measure the impact of fiscal spending patterns on the environment. The model predicts that a reallocation of government spending composition towards social and public goods reduces pollution. However, increasing total government spending without altering its composition does not reduce pollution. We empirically test these predictions for air and water pollutants showing that they are fully supported.     

Household incidence of pollution control policies: A robust welfare analysis using general equilibrium effects

This study assesses the incidence of pollution control policies on households. In contrast to previous studies, we employ an integrated framework combining a multisector general equilibrium model with a stochastic dominance analysis using household-level data. We consider three policy instruments in a domestic emission trading system: (i) an output-based allocation (OBA) of permits; (ii) the use of the proceeds of permit sales to reduce payroll taxes (RPT); (iii) and the use of these proceeds to reduce consumption taxes instead (UCS). The general equilibrium results suggest that the return to capital is more negatively affected than the wage rate in all simulations, since polluting industries are capital intensive. Abstracting from pollution externalities, the dominance analysis suggests that all three policies have a normatively robust negative (positive) impact on welfare (poverty). Formal dominance tests indicate that RPT first-order welfare dominates OBA over all values of household incomes. UCS also first-order poverty dominates RPT for any choice of poverty line below $CAN 18,600, and poverty dominates for any poverty line (and thus welfare dominates) at the second order. Finally, while the three pollution control policies do not have a numerically large impact on inequality (in comparison to the base run), statistical tests indicate that inequality increases significantly more with OBA and RPT than with UCS.     

宝钢环境信息化系统建设探索

系统介绍了宝钢环境信息化系统建设架构、功能、特点,以及对污染减排、环境自动监测及信息化技术进行有效融合后的应用实践,并对该信息化系统在提高环境监控能力,完善系统建设上提出扩展监控范围、提升功能等构想.     

东北地区植被时空演变及影响因素分析

基于2000~2020年MODIS NDVI遥感数据,辅以气象数据和土地利用数据,通过小波分析、Sen+Mann-Kendall趋势分析、Hurst指数、偏相关分析及残差分析法,以不同地形地貌为单元,对不同周期阶段下东北地区植被时空演变特征及其对气候变化和人类活动的响应机制进行深入解析.结果表明:时间上,21a间东北地区植被NDVI呈速率为0.0308/10a(P<0.001)的上升趋势,以16a第一主周期下10a左右的周期变化最为稳定;空间上,东北地区植被NDVI整体处于较高水平,但空间分异明显,呈“西南低东北高”的格局.各周期阶段均为NDVI改善面积大于退化面积且改善范围不断扩增.NDVI未来变化趋势主旋律为持续改善,占总面积的63.56%;响应机制上,东北地区植被NDVI受气候变化与人类活动共同影响.2000~2020年NDVI与气温、降水和相对湿度呈正相关,与日照时数呈负相关,其中降水对NDVI的影响作用最强,且随周期演替以降水为主导气候因子的面积显著递增.各周期阶段人类活动对NDVI变化均以正向促进为主,林业工程实施是植被状况改善的关键,而建设用地扩张是植被减少的主要原因.     

Pollution characteristics and health risk assessment of polycyclic aromatic hydrocarbons and nitrated polycyclic aromatic hydrocarbons during heating season in Beijing

Polycyclic aromatic hydrocarbons(PAHs) and their nitrated derivatives(NPAHs) attract continuous attention due to their outstanding carcinogenicity and mutagenicity. In order to investigate the diurnal variations, sources, formation mechanism, and health risk assessment of them in heating season, particulate matter(PM) were collected in Beijing urban area from December 26, 2017 to January 17, 2018. PAHs and NPAHs in PM were quantitatively analyzed via gas chromatography-mass spectrometry(GC-MS). ...     

中部地区碳排放时空演变及其影响因素分析

为实现碳达峰、碳中和目标,研究我国中部地区的碳排放时空演变及其影响因素有着重要的意义.使用2012—2019年NPP-VIIRS夜光遥感数据计算中部地区的碳排放量,结合地理探测器对碳排放时空变化及其影响因子进行分析.分析结果显示：①山西省碳排放量居中部地区首位,河南省次之,安徽省碳排放量位居第三,后为湖北省和湖南省,江西省碳排放最低;②2012—2019年在中部地区碳排放量聚集程度逐年减弱,高高聚集面积从210742.9 km²减少到153999.3 km²,低低聚集面积由148249.2 km²减少到103804.0 km²;③通过地理探测器分析的结果得到：对中部地区各省份碳排放影响因子解释力较大的为经济要素：地区生产总值和第二生产总值;中部地区各省份碳排放因子解释力较高的双因子交互多为经济要素.研究显示,中部地区各个省份碳排放分布及影响因素存在一定的差异,在制定碳达峰、碳中和行动方案时应考虑到不同地区碳排放的差异,本研究为中部地区制定节能减排政策提供数据支撑.