鄂尔多斯市东胜区2011年春节期间空气污染物的浓度分布规律及其成因分析

利用空气质量自动监测系统分析了2011年春节期间鄂尔多斯市东胜区的SO2、NO2及PM10的浓度值,发现烟花爆竹的燃放对它们的浓度有较大影响。     

山东省自然保护区建设状况调查

调查了山东省自然保护区建设状况,分析了山东省自然保护区数量与面积、类型结构和区域分布特征。结果表明:截止2010年底,山东省自然保护区数量为73个,面积99.9万hm2,占全省国土面积的6.34%。省级自然保护区的数量和面积分别占全省自然保护区数量和面积的49.3%和55.0%。71.2%的自然保护区面积在10 000 hm2以下,30.1%的自然保护区的核心区、缓冲区与实验区的面积占自然保护区面积的比例在27%~42%之间变化。自然保护区类型比较齐全,森林生态类自然保护区的数量和面积分别占山东省自然保护区数量和面积的56.2%和31.1%。自然保护区区域分布不均,68.5%的自然保护区分布在鲁东丘陵区和鲁中南山地丘陵区。     

6种陕北适生豆科植物生长对原油污染土壤的响应

为筛选优良的石油污染土壤修复植物,选取陕北适生的6种豆科乡土植物,对不同浓度原油污染土壤中植物的生长差异进行研究.采用混油法盆栽试验,分设0、5 000、10 000、20 000、40 000 mg·kg-1共5个不同的原油污染浓度,分析其对土壤理化性质的改变,对植物出芽时间、出芽率、株高、植物干重、叶绿素含量和枯萎率的影响.结果表明,原油污染显著改变土壤理化性质.5 000 mg·kg-1低浓度原油污染,对受试植物的发芽率和植物株高有促进作用,后随原油浓度加大植物生长受到明显抑制.原油污染浓度低时草本植物耐受力较强,其中紫花苜蓿(Medicago sativa)在出芽时间、出芽率、株高及枯萎率等方面综合表现较优.从40 000 mg·kg-1浓度时枯萎率及叶绿素含量分析,刺槐(Robinia pseudoacacia)表现较高的耐受力.相关分析表明,原油污染浓度与植物出芽时间、出芽率、株高、干重均呈显著负相关,但与叶绿素含量呈极显著正相关.     

温带典型草原土壤总有机碳及溶解性有机碳对模拟氮沉降的响应

2008年5月～2011年10月,以内蒙古温带典型草原为研究对象,利用小区模拟控制试验,设置对照[0 g·(m2·a)-1]、低氮[5 g·(m2·a)-1]、中氮[10 g·(m2·a)-1]、高氮[20 g·(m2·a)-1]这4个净氮输入量处理,模拟研究了大气氮沉降水平变化对土壤总有机碳(TOC)以及溶解性有机碳(DOC)含量、年际变化及其垂直分布格局的影响,并分析了两者之间的关系.结果表明,除个别年份外,土壤TOC与DOC含量均随土壤深度增加而递减,4 a的连续施氮并未改变土壤TOC与DOC的垂直分布规律,但施氮降低了土壤TOC的垂直变异,增加了土壤DOC的垂直变异;施氮4 a对于草地表层0～20 cm土壤TOC与DOC含量的变化并未表现出显著影响(P>0.05).不同氮输入水平处理0～20 cm土层有机碳密度在3.9～5.6 kg·m-2之间变动,试验前两年不同氮处理0～20 cm土壤有机碳密度均低于对照或与对照接近,试验后两年,施氮对土壤总有机碳密度逐渐呈现出一定的促进作用,但与对照的差异仍不显著(P>0.05);不同处理0～20 cm土层DOC/TOC约为0.32%～1.09%,氮输入增加普遍降低了DOC在整个TOC中所占的比例;草地土壤TOC与DOC的变化呈显著正相关(P<0.01).不同处理草地土壤DOC随时间的变异均远大于TOC,与TOC相比,草地土壤DOC的变化更为迅速,是研究草地土壤碳库对氮沉降变化响应的重要敏感性指标.     

瑞平塘河氟化物污染状况调查及溯源研究

以2016—2020年地表水常规监测结果为依据,发现瑞平塘河自2017年起出现氟化物质量浓度升高现象,2020年其中1个断面氟化物质量浓度平均值达到1.25 mg/L,比2016年高出145%。为此于2021年3—6月,对瑞平塘河流域的氟化物污染状况进行实地调查并开展溯源研究。研究结果显示,2021年氟化物质量浓度超过1.0 mg/L的点位占59.34%,其中超过1.5 mg/L的点位占42.86%,表明大部分河道氟化物质量浓度已经超过水体功能区要求,对生态环境安全构成较大潜在风险。溯源调查结果表明,排除了农业源及矿山源污染的可能,乳胶制品企业排放的废水为瑞平塘河氟化物的污染来源。针对目前该行业的排放标准和环境影响评价均未提及氟化物污染,企业废水处理设施也无除氟工艺单元,缺乏有效的污染防治措施与监管要求等问题。提出,应及时组织开展该区域乳胶制品行业整治提升,增加氟化物处理工艺单元,提升出水水质,确定氟化物排放浓度限值,并对该行业排放标准做进一步研究和完善等建议。     

河长制何以形成:功能、深层结构与机制条件北大核心CSCDCSSCI

党的十九届四中全会诠释了“中国之治”的制度密码,由此加强中国特色社会主义制度研究显得更加重要。河长制是一项具有鲜明中国特色的流域治理制度,但现有研究对河长制何以形成这一前置性问题却缺乏深入系统研究。基于此,作者构建了以功能、深层结构与机制条件为主的制度解释框架来对该问题展开深入研究。研究表明:①在功能方面,随着经济社会的快速发展,中国流域治理体制逐渐难以适应水治理系统性的要求,产生了“九龙治水”等问题,在此背景下,河长制作为一种联结性机制应运而生,它有助于应对流域跨域治理困境。②在深层结构方面,中国国家治理结构的特征是“党委领导、政府负责、分级管理、部门分工”,出于降低横向间合作成本和整合各方力量的需要,长期以来形成了“领导挂帅、高位协调”的问题解决机制和政治文化传统,这在很大程度上形塑了河长制“治污先治人、治人先治官”的制度设计理念。③在机制条件方面,河长制的出台是太湖蓝藻爆发这个焦点事件压力驱动的结果,党政科层结构以及干部目标管理责任制为其产生、运行分别提供了组织协调优势以及管理控制基础。总体而言,河长制既是流域治理体制应对不足的结果,也是传统体制优势与绿色发展理念汇融的结果。由于河长制诞生于危机情境之下,较为依赖地方党政领导的重视,因此,在其常规化以后,需要完善相关激励制度,以形成长效机制。     

Assessing Impact of Urbanization on River Water Quality In The Pearl River Delta Economic Zone, China

The Pearl River Delta Economic Zone is one of the most developed regions in China. It has been undergoing a rapid urbanization since the reformation and opening of China in 1978. This process plays a significant impact on the urban environment, particularly river water quality. The main goal of this present study is to assess the impact of urban activities especially urbanization on river water quality for the study area. Some Landsat TM images from 2000 were used to map the areas for different pollution levels of urban river sections for the study area. In addition, an improved equalized synthetic pollution index method was utilized to assess the field analytical results. The results indicate that there is a positive correlation between the rapidity of urbanization and the pollution levels of urban river water. Compared to the rural river water, urban river water was polluted more seriously. During the urban development process, urbanization and urban activities had a significant negative impact on the river water quality.     

Eco-Environmental Degradation in the Source Region of the Yellow River, Northeast Qinghai-Xizang Plateau

The Yellow River is the second longest river in China and the cradle of the Chinese civilization. The source region of the Yellow River is the most important water holding area for the Yellow River, about 49.2% of the whole runoff comes from this region. However, for the special location, it is a region with most fragile eco-environment in China as well. Eco-environmental degradation in the source region of the Yellow River has been a very serious ecological and socially economic problem. According to census data, historical documents and climatic information, during the last half century, especially the last 30 years, great changes have taken place in the eco-environment of this region. Such changes are mainly manifested in the temporal-spatial changes of water environment, deglaciation, permafrost reduction, vegetation degeneracy and desertification extent, which led to land capacity decreasing and river disconnecting. At present, desertification of the region is showing an accelerating tendency. This paper analyzes the present status of eco-environment degradation in this region supported by GIS and RS, as well as field investigation and indoor analysis, based on knowledge, multi-source data is gathered and the classification is worked out, deals with their natural and anthropogenic causes, and points out that in the last half century the desertification and environmental degradation of this region are mainly attributed to human activities under the background of regional climate changes. To halt further degradation of the environment of this region, great efforts should be made to use land resources rationally, develop advantages animal agriculture and protect the natural grassland.     

PAHs Contamination in Bank Sediment of the Yamuna River, Delhi, India

This study was performed to elucidate the distribution, concentration trend and possible sources of PAHs in bank sediment of river Yamuna in Delhi, India. The levels of 16 priority polycyclic aromatic hydrocarbons (PAHs) were analyzed during pre-monsoon, monsoon and post-monsoon seasons in the sediment fraction < 53 μm. Reference standards and internal standards were used for identification and quantification of PAHs by HPLC. The sum of 16 PAH compounds ranged from 4.50 to 23.53 μg/g with a mean concentration of 10.15 ± 4.32 μg/g (dry wt.). Among 5 sites studied, the site, Income Tax Office (ITO) was found to be the hotspot attaining highest concentration. Predominance of 2–4 ring PAHs suggests a relatively recent local sources of PAHs in the study area. Moreover, molecular indices based source apportionment also illustrates pyrogenic source fingerprint of PAHs. No significant temporal trend was observed.     

Arsenic exposure in Hungary, Romania and Slovakia

Inorganic arsenic is a potent human carcinogen and toxicant which people are exposed to mainly via drinking water and food. The objective of the present study was to assess current exposure to arsenic via drinking water in three European countries. For this purpose, 520 individuals from four Hungarian, two Slovakian and two Romanian countries were investigated by measuring inorganic arsenic and methylated arsenic metabolites in urine by high performance liquid chromatography with hydride generation and inductively coupled plasma mass spectrometry. Arsenic in drinking water was determined by atomic absorption spectrometry. Significantly higher concentrations of arsenic were found in both the water and the urine samples from the Hungarian counties (median: 11 and 15 microg dm(-3), respectively; p < 0.001) than from the Slovakian (median: 0.94 and 4.5 microg dm(-3), respectively) and Romanian (median: 0.70 and 2.1 microg dm(-3), respectively) counties. A significant correlation was seen between arsenic in water and arsenic in urine (R(2)= 0.46). At low water arsenic concentrations, the relative amount of dimethylarsinic acid (DMA) in urine was increased, indicating exposure via food. Also, high body mass index was associated with higher concentrations of arsenic in urine (p= 0.03), mostly in the form of DMA. Smokers had significantly higher urinary arsenic concentrations than non-smokers (p= 0.03). In conclusion, elevated arsenic exposure via drinking water was prevalent in some of the counties. Exposure to arsenic from food, mainly as DMA, and cigarette smoke, mainly as inorganic arsenic, are major determinants of arsenic exposure at very low concentrations of arsenic in drinking water.