Assessing the impact of manufacturing agglomeration on environmental pollution in Beijing-Tianjin-Hebei region using spatial panel data model

The Beijing-Tianjin-Hebei region is the vanguard of economic development in northern China.Its manufacturing industry is more and more developed,but environmental pollution is also more serious.Based on the data of 13 cities in Beijing-Tianjin-Hebei region from 2017 to 2021,the paper verifies the impact of manufacturing agglomeration on environmental pollution.Both manufacturing agglomeration and environmental pollution are dependent on spatial distribution.Therefore,the paper selects spatial econometric model to study.First,the spatial lag model and spatial error model are constructed,and then the spatial lag model is selected through the results of OLS regression,LM Test and Hausman test,and the empirical process is carried out.Finally,the empirical results are analyzed and the conclusion is drawn.

Spatiotemporal Variations and Regional Transport of Air Pollutants in Two Urban Agglomerations in Northeast China Plain

Characteristics of air pollution in Northeast China(NEC) received less research attention in the past comparing to other heavily polluted regions in China.Spatiotemporal variations of six criteria air pollutants(PM10, PM2.5, SO2, NO2, O3 and CO) in Central Liaoning Urban Agglomeration(CLUA) and Harbin-Changchun Urban Agglomeration(HCUA) in NEC Plain were analyzed in this study based on three-year hourly observations of air pollutants and meteorological variables from 2015 to 2017.The results indicated that the annual mean concentrations of air pollutants are generally higher in the middle and southern regions in NEC Plain and lower in the northern region.Megacities such as Shenyang, Harbin and Changchun experience severe air pollution, with a three-year averaged air quality index(AQI) larger than 80, far exceeding the daily AQI standard at the first-level of 50 in China.The annual mean PM and SO2 concentrations decrease most significantly in NEC urban agglomerations from 2015 to 2017, followed by CO and NO2, while O3 shows a slight increasing trend.All the six pollutants exhibit obvious seasonal and diurnal variations, and these variations are dictated by local emission and meteorological conditions.PM2.5 and O3 concentrations in NEC urban agglomerations strongly depend on wind conditions.High O3 concentrations at different cities usually occur in presence of strong winds but are independent on wind direction(WD), while high PM2.5 is usually accompanied by weak winds and poor dispersion condition, and sometimes also occur when the northerly or southerly winds are strong.Regional transport of air pollutants between NEC urban agglomerations is common.A severe haze event on November 1–4, 2017 is examined to demonstrate the role of regional transport on pollution.

Regional partitioning of agricultural non-point source pollution in China using a projection pursuit cluster model

A projection pursuit cluster（PPC） model was used to analyze the regional partitioning of agricultural non-point source pollution in China.The environmental factors impacting the agricultural non-point source pollution were compiled into a projection index to set up the projection index function.A novel optimization algorithm called Free search（FS） was introduced to optimize the projection direction of the PPC model.By making the appropriate improvements as we explored the use of the algorithm,it became simpler,and developed better exploration abilities.Thus,the multi-factor problem was converted into a single-factor cluster,according to the projection,which successfully avoided subjective disturbance and produced objective results.The cluster results of the PPC model mirror the actual regional partitioning of the agricultural non-point source pollution in China,indicating that the PPC model is a powerful tool in multi-factor cluster analysis,and could be a new method for the regional partitioning of agricultural non-point source pollution.

Effect of crude oil pollution on organic carbon and humus content in grey-brown soils in Mangyshlak, Pre-Caspian Sea Region

The organic carbon and humus content in oil polluted brown and grey-brown soils in Mangyshlak,Pre-Caspian Sea Region,was analyzed from 2000 to 2008.The results indicated that bitumen substances from crude oil pollution deteriorated the soil property,however,the organic carbon content increased significantly.The products of oil pollution changed the composition of car-bonaceous substances which formed soil humus,and changed the ratios of the humus components.Residual insoluble carbon increased with the rise of oil organic carbon.The mobility of humus components was significantly increased because of the high oxidation-reduction process in the topsoil,and the humus content and microorganism activity increased.The organic carbon content increased significantly,while it decreased with the distance away from the oil well.The rearrangement of physical,physical-chemical and chemical properties of the polluted soils was significant.

A Case Study of Typical Regional Pollution Transport in Fuzhou City

Based on data of PM2.5 hourly concentration and HYSPLIT model backward trajectory in coastal cities of Fujian Province during January 25 -26, 2014, a typical regional pollution process affecting Fujian from the north to the south and the east to the west on January 26 was investiga- ted. Taking Fuzhou as an example, based on weather situation on the ground and at high altitudes as well as corresponding meteorological data such as wind direction, wind velocity, and visibility, the changes of meteorological elements before, during and after the pollution were compared. Based on the V-3θ atmospheric vertical structure diagrams, the weather reasons for the generation, maintaining and dissipation of the pollution were discussed. The results indicated that the regional pollution was transported from the northeast to the southwest. The northeasterly air flow in front of the cold ridge strengthened and moved toward the east, so that the pollutant from the north affected Fujian form the north to the south and from the east to the west. As a result, there was a dramatic increase of pollutant concentration, rapid drop of visibility, and deterioration of air quality in the affected areas. The heavy pollution process featured high-speed transport and short-time generation. The air quality changed from good state to heavy pollution in just 3 -4 hours. The maximum of IAQIpM2.5 reached 280. The whole pollution process lasted for 14 hours. Solar radiation had been deeply affected by aerosol clouds, so that atmospheric stratification was extremely stable. Along with the eastward movement of cold high pressure into the sea, the dominant wind direction near the ground changed from the northeast to the east, so that the source of the pollutant was cut off , and air quality quickly turned well. The changes of atmospheric vertical structure indicated that the high inversion layer and clouds near 700 hPa kept lower air clean and blocked upper pollution transport. The later sudden increase of wind speed and strengthening of atmospheric mechanical turbu- lent destroyed inversion layer, so that the upper pollutants invaded air near the ground rapidly. During the period of high pollution, the isothermal layer （aerosol clouds） leaded to decrease of wind speed, and the atmosphere became more stable. The pollution ended until the wind field changed.

Assessment of Nitrogen Pollutant Sources in Surface Waters of Taihu Lake Region

The nitrogen (N) pollution status of the 12 most important rivers in Changshu, Taihu Lake region was investigated. Water samples were collected from depths of 0.5-1.0 m with the aid of the global positioning system (GPS). The seasonal variations in the concentrations of different N components in the rivers were measured. Using tension-free monolith lysimeters and 15N-labeled fertilizer, field experiments were carried out in this region to determine variations of 15N abundance of NO3- in the leachate during the rice and wheat growing seasons, respectively. Results showed that the main source of N pollution of surface waters in the Taihu Lake region was not the N fertilizer applied in the farmland but the urban domestic sewage and rural human and animal excreta directly discharged into the water bodies without treatment. Atmospheric dry and wet N deposition was another evident source of N pollutant of the surface waters. In conclusion, it would not be correct to attribute the N applied to farmlands as the source of N pollution of the surface waters in this region.

Analysis of Summertime Typical Pollution in Pearl River Delta Region——Numerical Simulation of Meteorological Field

Based on meteorological field and air quality observation data, air pollution process over Pearl River Delta （PRD） in August of 2012 was analyzed. There were five notable pollution processes in this month, in which four pollution processes were related to typhoon. By using meso-scale meteorological model WRF, meteorological characteristics of two pollution processes induced by tropical cyclone were contrasted and analyzed. Results showed that O9 and PMTo concentrations significantly increased in PRD region during Typhoon Haikui period （7 -8 August）, and other pollutant concentrations were also high. However, 03 and PM10 concentrations did not significantly increase during Typhoon Kai-Tak period （16 -17 August）. This kind of concentration difference between two processes was related to typhoon pathway, wind direction and velocity, atmospheric boundary layer height, vertical transport and horizontal divergence field.

Research on soil multi-media environmental pollution around a Pb-Zn mining and smelting plant in the karst area of Guangxi Zhuang Autonomous Region,Southwest China

The method of principal component analysis was applied to systematical research on the soil multi-media environment, including soil, surface water, ground water, waterbody sediment and agricultural crops, as well as pollution-inducing wastewater, mullock (or waste ore) and slag in the periphery of a large-sized Pb-Zn mining and smelting plant in a karst area of Guangxi Zhuang Autonomous Region. The results revealed that soils in the area studied have been heavily polluted by Cd, Zn, Pb and Hg, and the levels of these metals in the samples of agricultural crop greatly exceed the standards. The above-mentioned pollutants exist in all soil-multi-media environments. The mullock, slag, wastewater, surface water, ground water, soil, and agricultural crops constitute a composite ecological chain. Therefore, the improper disposal of mullock and slag, and the use of polluted wastewater for agricultural irrigation are the main causes of soil pollution. Heavy metals in the soil have three transition progresses: point (improved soil with slag, ground water inflow plot), linear (river transition) and non-point transition (regional pollution by slag) patterns, and the tailing yard is the most important locus for heavy metals to release into the environment.

Construction and Implementation Approaches of Ecological Compensation Mechanism for Coordinated Control of Air Pollution in Beijing-Tianjin-Hebei Region

The spatial spillover of air pollution in Beijing-Tianjin-Hebei region makes the territorial governance model inefficient.At the same time,it is facing the contradiction between environmental governance and economic development.So far,there is still no regional long-term mechanism for coordinated governance of air pollution.Ecological compensation theory is becoming an effective guiding theory to coordinate economic and environmental benefits.There is relatively little research on ecological compensation mechanism in the coordinated control of regional air pollution.Ecological compensation mechanism is an effective tool to promote air pollution control.At the same time,regional cooperation can realize the efficient control of air pollution.Scientifically constructing the cross regional cooperative control model of Beijing,Tianjin and Hebei is a favorable way to implement comprehensive control of air pollution.This paper discusses the necessity of ecological compensation mechanism for regional coordinated control of air pollution.Referring to practical experience of provinces and cities that have implemented the ecological compensation mechanism for air pollution control,and the effective way to distribute the compensation amount,compensation subject and compensation standard determination method that can be implemented in Beijing-Tianjin-Hebei region are analyzed,further proposing an effective way to establish an ecological compensation mechanism for regional air pollution collaborative control according to its reality.

The effect of living environment on developmental disorders in cold regions

Developmental disorders(DDs)are a kind of chronic maladies,which can cause serious irreversible detriment to children’s physical and mental health.It is predominantly regulated by the interaction of environment and heredity.Cold regions are mainly located in the high latitudes of China.Their living environment is characterized by frequent cold wave,huge temperature difference,severe air pollution,high calorie diet,less exercise,smoking,drinking,etc.In recent years,substantial advances have been made in studies of the correlation between the living environment features in cold regions and the DDs.Accordingly,this article reviews the impact of the peculiar living environment of cold regions on DDs,with a view to provide fresh prevention strategies for reducing the morbidity of DDs in China cold regions by ameliorating living environment.

广州市2022年臭氧污染特征与成因分析

选取2022年O_(3)及其前体物观测数据、气象观测数据和ERA5再分析数据,结合基于观测的模型(OBM)和后向轨迹模型,分析了2022年广州市O_(3)污染特征,识别了O_(3)生成控制区及关键敏感型物种,并从O_(3)前体物排放、气象条件和区域传输3个方面开展了O_(3)污染成因分析.结果表明:广州市O_(3)生成以VOCs控制和NO_(x)-VOCs协同控制为主,现阶段VOCs和NO_(x)减排比例应不低于1:1;O_(3)生成对含氧VOCs最为敏感,其次是植物源VOCs(BVOCs)、烯烃、芳香烃和烷烃;2022年广州市O_(3)前体物NO_(x)和VOCs浓度同比下降14.7%和30.4%,但副高强盛、台风外围环流影响频繁叠加强辐射、高温、低湿等不利气象条件和区域传输抵消了广州市本地前体物减排的成效,造成O_(3)浓度上升,其中典型O_(3)污染过程(2022年9月16~22日)气流轨迹由西北、西南方向气团转变为东和东南方向气团,易受到来自周边城市区域传输影响.建议下一步持续推动NO_(x)减排,促进O_(3)对NO_(x)敏感性向正敏感性的转变,同时积极构建区域联防联控机制,降低区域传输贡献.

地区空气污染的“压力”与企业绿色转型的“动力”——基于城市PM2.5和公司并购的实证发现

地区空气污染会影响域内各类市场主体行为,包括微观企业决策。碳达峰、碳中和的提出要求各地加强空气污染治理,推动企业绿色转型,而绿色并购是企业绿色转型的重要方式。利用2013—2018年我国A股上市的污染企业发起的并购为样本,并手动搜集整理确定绿色并购样本,实证研究地区空气污染对域内企业绿色转型的影响。研究发现,地区空气污染加剧会提升域内污染企业绿色并购的意愿。在此基础上,通过并购前后企业信息披露质量和社会责任承担变化,研究发现地区空气污染加剧下的企业绿色转型并非源于自主绿色转型发展的内生“动力”,更多是外部“压力”下的“工具主义”行为。从影响路径来看,地区空气污染引致的压力会通过行业竞争和融资约束这两个途径影响污染企业绿色转型的“动力”。最后,异质性检验发现在市场化程度高和非国有企业样本,地区空气污染加剧对企业绿色并购的促进作用更为显著。

基于Sentinel-5P的长三角大气NO_(2)污染特征及影响因子分析

基于哨兵-5P(Sentinel-5 Precursor,Sentinel-5P)卫星反演的NO_(2)柱浓度数据,利用Google Earth Engine云平台,结合自然因子和人为社会因子数据,分析长三角地区大气NO_(2)柱浓度的污染特征及影响因素。结果显示:(1)Sentinel-5P卫星反演的NO_(2)柱浓度数据与地面观测站NO_(2)质量浓度具有较好的相关性(r≥0.59,p<0.01),可较为准确地反映长三角地区大气NO_(2)污染状况;(2)长三角的大气NO_(2)柱浓度呈现季节性的周期波动,呈“冬高夏低”变化趋势;(3)大气NO_(2)柱浓度具有显著的空间异质性,整体上东北高,西南低,呈现出一条六安至台州,即“西北—东南”方向的NO_(2)柱浓度分界线,以及一个以环太湖城市群为中心的西南向“U形口”;(4)植被指数、高程、全社会用电量、第二产业产值、第三产业产值是长三角大气NO_(2)柱浓度空间分布的重要影响因子,区域大气NO_(2)柱浓度受因子交互作用显著,高程及植被指数与其他因子的交互作用q均在0.6以上。

省际粮食贸易隐含污染与环境比较优势研究

为协调粮食生产、贸易与面源污染的矛盾,实现绿色农业发展、区域间利益共赢,在测算省际粮食贸易量的基础上,运用灰水足迹方法计算各省隐含氮污染和污染强度,构建了粮食贸易隐含氮污染网络,解析了省际粮食生产隐含氮污染的环境比较优势。结果表明:中国省际粮食贸易网络格局由“条块式”转向“团块式”,贸易集中化趋势明显;省际粮食贸易隐含污染和污染强度呈下降趋势,但地区差异明显加剧了环境不公平;环境比较优势网络表现出“两头小,中间大”的橄榄形分布,环境比较优势最小的地区集中在华北地区,最大为黑龙江。

京津冀地区蔬菜废弃物污染风险及资源化利用潜力分析

以京津冀地区13个地级市为研究对象,通过文献整理和数据分析,估算出各地级市蔬菜废弃物的污染负荷、污染强度和污染风险,并结合各地化肥施用量,探究蔬菜废弃物的资源化利用潜力。结果表明,2020年京津冀地区的蔬菜废弃物、TN、TP和TK污染负荷分别为2 199 836、46 627、28 509和49 674 t。各地级市中,唐山市、张家口市、石家庄市和邯郸市的污染负荷较高;廊坊市、唐山市、秦皇岛市和石家庄市的污染风险较高。若将京津冀地区蔬菜废弃物资源化利用,所利用带来的肥料化效益达到124 802 t,相当于区域内4.06%的化肥施用折纯量,资源化效益显著。因此,推动京津冀地区蔬菜废弃物的资源化利用对于缓解资源紧缺和环境污染具有重要意义。

京津冀地区柴油移动燃烧源污染减排潜力预测

包含柴油车辆和柴油机械的柴油移动燃烧源是现阶段中国进一步持续改善空气质量的重点源。为探究京津冀地区柴油移动燃烧源的污染排放以及减排潜力,在估算2018年京津冀地区柴油车辆和柴油机械污染排放现状的基础上,设置基准情景和5种政策情景,预测2019—2030年不同情景下柴油燃烧源的污染排放趋势,对比分析不同地区、不同源的污染物减排潜力和不同减排措施对不同类型柴油燃烧源的减排效果。结果表明,京津冀地区2018年柴油燃烧源的CO、HC、NO_(x)和PM排放量分别为51.25、22.89、106.52和5.42万t。综合情景下,2030年CO、HC、NO_(x)和PM污染物排放量可分别比基准年减少52.03%、38.58%、71.88%和52.07%。淘汰高排放情景在短时间内的减排效果较好,而长期效果不佳,提升排放标准情景和推广新能源情景的减排潜力会逐年增加,对污染物有较好的减排作用,运输公转铁情景的减排潜力也较好,2030年能有效减少35.13%~45.81%的污染排放。综合情景下柴油车辆和柴油机械的最大减排潜力分别为91.55%和44.69%。此外,CO和NO_(x)的减排潜力主要来源于柴油车辆,而柴油机械对HC和PM的减排效果明显。与其他2个地区相比,天津市的污染减排效果较好,最大减排潜力为80.80%。分类型来看,柴油货车对污染物的减排贡献较大,尤其是重型货车。与工程机械相比,农业机械的污染减排贡献更大,尤其是联合收割机、农用水泵以及三轮车的减排贡献突出。研究结果可为制定柴油移动源的污染控制政策提供科学支持。

中国北方典型地区人群活动模式特色数据集

本文介绍了《典型地区活动模式特色数据集》(Typical Regional Activity Patterns,TRAP),此数据集依托于“大气重污染成因与治理攻关项目”。为了探索大气污染与体力活动的交互效应,我们在空气污染物浓度高于周边地区的典型区域(济南市和保定市)收集了9,221名不同职业和生活方式居民连续3天的活动模式数据。TRAP数据集包括人口学指标(人口学、职业信息、个人习惯和居住条件)和体力活动模式数据(活动地点和活动强度)信息。此数据集提供了体力活动模式的暴露测量数据,数据使用者可以根据自己的特定目的将其与各种终点指标匹配。此数据集可为探究中国北方居民活动模式属性提供证据,为跨学科研究人员制定健康教育及健康促进策略和措施提供证据。