冷空气南下对江苏省重污染天气过程的影响

根据2013—2015年江苏省重污染(重度污染和严重污染)个例,分析冷空气南下对重污染天气过程的影响机制和特征。将冷空气南下过程按路径分为东路、中路和西路,分别统计了不同路径冷空气影响江苏的特征,以及冷空气背景下重污染发生时的气象条件,总结了不同路径冷空气对污染物浓度日增幅的影响,探讨了冷空气对江苏省大气污染的影响机制。研究表明,江苏省的重污染天气主要发生在中路冷空气影响时,东路冷空气影响概率相对较小;中路、西路易出现区域性、连续性重污染;东路多单站点污染,连续污染概率较小。重污染日的高空冷空气主体偏北,中低层为槽后脊前西北气流或有弱切变,地面处于冷高压前部;中路、西路冷空气对污染的输送贡献大于东路,对上游污染呈负输送,如有强逆温、小风速的"静稳"天气,重污染仍可能加剧;重污染天气的发生,是本地污染、外源输送和局地不利污染扩散的气象条件共同作用造成的。     

苏北地区农业非点源氮磷污染对水体的影响研究

通过对连云港市农业非点源氮磷污染对水环境影响的研究,掌握了连云港市农业非点源氮磷污染情况及氮磷在土壤中的转化机制,监测分析了水环境氮磷污染现状及氮磷对水环境的影响途径,提出了控制农业非点源氮磷对水体环境污染的措施。     

本地源尘污染成因的模式分析

对河门口片区污染源进行调查,采用经验证后表明适合攀枝花地区的山谷模式,对河门口片区的尘污染现状成因进行分析,研究了污染物种类、重点污染源类别、主要污染行业对片区内各控制点的影响,发现由于受山区地形影响,片区内各控制点污染状况受相邻污染源影响较大.     

北京地区冬季典型PM2.5重污染案例分析

对2013年1月10—14日发生的持续性PM2.5重污染过程从污染过程演变、气象条件影响、与气态污染物关系、区域污染背景、PM2.5浓度空间分布演变及其与地面风场的关系、PM2.5组分特征等多个方面进行全面的分析,较为完整地还原了该次重污染案例的形成原因以及主要影响因素。主要结论包括:该次重污染过程是稳定气象条件下导致的局地污染物积累,再叠加华北区域性污染的影响共同造成,其中10、12日北京地区PM2.5浓度的快速增长反映了周边污染传输的显著影响;逆温不但造成污染物难以扩散,且不同的逆温类型对PM2.5浓度水平有显著影响,同时还发现逆温的破坏导致近地面高浓度污染物向上扩散,造成百花山出现峰值高污染浓度现象;NO2与PM2.5浓度水平的高相关性反映交通污染二次转化对PM2.5浓度水平的影响,在较高湿度条件下,SO2浓度水平对湿度敏感且表现为负相关性;该次污染过程中OM、SO2-4、NO-3、NH+4等组分在PM2.5质量浓度中的占比超过70%,说明燃煤、机动车等仍是北京地区最主要的污染来源,同时SO2-4占比最高也说明区域污染传输对该次重污染的显著贡献。     

湖南省大气污染特征及气象影响分析

为深入探究湖南省大气污染过程变化特征及气象条件对不同首要污染物的影响,利用2015—2021年湖南省14个市州的大气环境监测数据及气象观测数据,分析研究了68次污染过程的持续时长、分布特征等,并根据污染来源分析结果、传输路径分析结果,结合地形特征,进行了污染影响区域划分,对不同首要污染物的气象因子反馈机制进行了细致剖析。结果表明:湖南省大气污染过程以颗粒物污染为主,年变化特征呈现为单峰形,单次污染过程持续时长一般不超过3 d;3条主要的污染物传播路径均是由湘北地区进入长株潭城市群;污染来源以本地积累为主,外来输送与本地污染叠加次之;颗粒物污染主要受边界层稳定程度、逆温情况和近地面空气湿度的影响,臭氧污染则主要受紫外辐射、前体物浓度和扩散条件等的影响。     

秸杆焚烧对大气环境质量的影响

对泰兴市秸杆焚烧的状况及造成大气污染的结果进行了调查统计分析,焚烧秸杆产生的PM10对大气环境质量污染影响大,成为首要污染物,其受重力影响较大,自净较快;产生的SO2和NO2受风力的影响大,但自净速度慢,停止焚烧后,仍对大气质量有较大影响。同时根据焚烧现状及污染特点,提出了预防焚烧污染的措施及建议。     

长江南京段不同径流 潮汐动力作用下突发污染事故对饮用水水源地的影响研究

长江南京段水动力条件复杂,突发污染事故对下游饮用水水源地影响难以预测。基于构建的长江南京段二维水动力水质耦合数学模型,对不同径流潮汐动力作用下的突发污染事故进行模拟,分析其对长江水源地的影响。结果表明:洪季径流作用较强,污染团扩散速度受潮汐影响较弱,各水源地受污染团的影响时长基本接近,约为2.5~3.5 h。枯季径流作用减弱,污染团扩散速度受潮汐影响增强,越下游处受潮汐影响越大,各水源地受污染团的影响时长依次为:长江江浦水源地<燕子矶水源地<龙潭水源地。枯季污染物传播时的浓度大于洪季,洪季污染物传播浓度呈现随距离增大浓度减小的趋势。枯季流速受到潮汐影响,径流稀释作用减弱,使得污染物经八卦洲分流后的浓度略小于传播向下游的浓度。     

庞庄煤矿煤矸石淋溶液对周边水体影响分析

为研究庞庄煤矿张小楼煤矸石堆场淋溶液对其场地和周边地表水、地下水水质影响情况,围绕煤矸石堆场及周边采集13组水样做分析比对。结果表明,煤矸石堆场淋溶液对周边地表水体形成普遍污染,且污染物浓度随着污染距离增加逐步降低,一般化学污染指标主要包括溶解性总固体、硫酸盐、铁、锰、氨氮等,毒理学污染指标包括亚硝酸盐、氟化物、砷,超标倍率约为0.02~5.36。受距离及成井深度等因素影响,地下水体未遭受淋溶液明显的污染和影响。     

废水处理中膜污染的检测方法

膜污染是影响膜分离技术在废水处理领域进一步推广的主要瓶颈。为了准确的检测出膜污染的情况及污染性质,可以采用表观分析法,理论模型法和间接表征法等方法对膜污染进行检测。     

大气污染排放窗口机制研究

以2种典型的污染排放源(点污染源和线污染源)为基础,提出排污窗口的概念,通过参数转换分解源强对污染扩散进行研究。首先在高斯污染扩散模型的基础上,对非持续性污染源强建模,然后以某烟囱的周期性排污分析,检验排污窗口设置的合理性。对于单双号限行的窗口性质的污染排放研究中,首先对交通流建立线污染扩散模型,然后融合元胞自动机(9元胞互影响)模拟区域多角度污染的扩散平衡,最后对"单双号限行"下北京市不同区域空气质量指标进行分析与仿真。分析结果表明,合理的排污窗口能够减轻污染程度及对人们日常生活的影响。     

Application of integrated GIS and multimedia modeling on NPS pollution evaluation

In Taiwan, nonpoint source (NPS) pollution is one of the major causes of the impairment of surface waters. I-Liao Creek, located in southern Taiwan, flows approximately 90 km and drains toward the Kaoping River. Field investigation results indicate that NPS pollution from agricultural activities is one of the main water pollution sources in the I-Liao Creek Basin. Assessing the potential of NPS pollution to assist in the planning of best management practice (BMP) is significant for improving pollution prevention and control in the I-Liao Creek Basin. In this study, land use identification in the I-Liao Creek Basin was performed by properly integrating the skills of geographic information system (GIS) and global positioning system (GPS). In this analysis, 35 types of land use patterns in the watershed area of the basin are classified with the aid of Erdas Imagine process system and ArcView GIS system. Results indicate that betel palm farms, orchard farms, and tea gardens dominate the farmland areas in the basin, and are scattered around on both sides of the river corridor. An integrated watershed management model (IWMM) was applied for simulating the water quality and evaluating NPS pollutant loads to the I-Liao Creek. The model was calibrated and verified with collected water quality and soil data, and was used to investigate potential NPS pollution management plans. Simulated results indicate that NPS pollution has significant contributions to the nutrient loads to the I-Liao Creek during the wet season. Results also reveal that NPS pollution plays an important role in the deterioration of downstream water quality and caused significant increase in nutrient loads into the basin's water bodies. Simulated results show that source control, land use management, and grassy buffer strip are applicable and feasible BMPs for NPS nutrient loads reduction. GIS system is an important method for land use identification and waste load estimation in the basin. Linking the information of land utilization with the NPS pollution simulation model may further provide essential information of potential NPS pollution for all subregions in the river basin. Results and experience obtained from this study will be helpful in designing the watershed management and NPS pollution control strategies for other similar river basins.     

Use of water quality index and multivariate statistical techniques for the assessment of spatial variations in water quality of a small river

Rapid urban development has led to a critical negative impact on water bodies flowing in and around urban areas. In the present study, 25 physiochemical and biological parameters have been studied on water samples collected from the entire section of a small river originating and ending within an urban area. This study envisaged to assess the water quality status of river body and explore probable sources of pollution in the river. Weighted arithmetic water quality index (WQI) was employed to evaluate the water quality status of the river. Multivariate statistical techniques namely cluster analysis (CA) and principal component analysis (PCA) were applied to differentiate the sources of variation in water quality and to determine the cause of pollution in the river. WQI values indicated high pollution levels in the studied water body, rendering it unsuitable for any practical purpose. Cluster analysis results showed that the river samples can be divided into four groups. Use of PCA identified four important factors describing the types of pollution in the river, namely (1) mineral and nutrient pollution, (2) heavy metal pollution, (3) organic pollution, and (4) fecal contamination. The deteriorating water quality of the river was demonstrated to originate from wide sources of anthropogenic activities, especially municipal sewage discharge from unplanned housing areas, wastewater discharge from small industrial units, livestock activities, and indiscriminate dumping of solid wastes in the river. Thus, the present study effectively demonstrates the use of WQI and multivariate statistical techniques for gaining simpler and meaningful information about the water quality of a lotic water body as well as to identify of the pollution sources.     

Assessment of animal impacts on bacterial water quality in a South Carolina, USA tidal creek system

Fecal pollution may adversely impact water quality in coastal ecosystems. The goal of this study was to determine whether cattle were a source of fecal pollution in a South Carolina watershed. Surface water samples were collected in June 2002 and February through March 2003 in closed shellfish harvesting waters of Toogoodoo Creek in Charleston County, SC. Fecal coliform concentrations in 70 % of the water samples taken for this study exceeded shellfish harvesting water standards. Ribotyping was performed in order to identify animal sources contributing to elevated fecal coliform levels. Escherichia coli isolates (n?=?253) from surface water samples were ribotyped and compared to a ribotype library developed from known sources of fecal material. Ribotypes from water samples that matched library ribotypes with 90 % maximum similarity or better were assigned to that source. Less than half of the unknown isolates (38 %) matched with library isolates. About half (53 %) of the matched ribotypes were assigned to cattle isolates and 43 % to raccoon. Ribotyping almost exclusively identified animal sources. While these results indicate that runoff from cattle farms was a likely source of fecal pollution in the watershed, wildlife also contributed. Given the small size of the library, ribotyping was moderately useful for determining the impact of adjacent cattle farms on Toogoodoo Creek. Increasing the number and diversity of the wildlife sources from the area would likely increase the usefulness of the method.     

畜禽养殖业污染状况及管理对策

分析了畜禽养殖业对农村环境污染的严重性,阐述了畜禽粪便的综合利用途径,提出了防止畜禽养殖污染的管理对策和措施。     

常州市地表水中氨氮输移分析及对策建议

目前常州市地表水中氨氮污染已成为最突出的问题。通过近2年来的监测和调查,参考有关资料和科研成果,估算出常州市地表水中年接纳氨氮总量为17998.0t/a,其中农田径流占32%,上游行政交界来水占30%,而城镇生活污水、农村生活污水、工业废水、城镇地表径流和规模化畜禽养殖等所占比重均不足13%。并据此提出了减轻地表水中氨氮污染的对策建议。     

Water for human and livestock consumption in rural settings of Ethiopia: assessments of quality and health aspects

The study aimed to assess the quality and health aspects of water intended for human and livestock consumption in two rural districts of the Rift Valley of Ethiopia. The study involved two parts: the first consisted of a questionnaire survey and farmers’ group discussions, complemented by secondary health data, and the second part determined the chemical (total dissolved solids, pH, manganese, hexa-valent chromium, fluoride) and microbiological quality of different water sources during dry and wet seasons. The result showed a lack of sustainable access to safe water in the communities. Industrial pollution and mismanagement of water sources by human and livestock was found to be a source of potential health risk. Potentially linked human health problems like malaria, diarrhoea and gastrointestinal parasites were common in the districts. Overall, 76 % of the assessed water sources (n?=?25) failed to comply with World Health Organization guidelines for human drinking water, for at least one assessed parameter, mostly irrespective of the season. The non-compliance was mainly attributed to Escherichia coli contamination and/or high fluoride concentration. At least 20 % of the water samples were also found to be unfit for livestock consumption based on assessed chemical parameters in both dry and wet seasons. To minimize the health risk associated with mismanagement and poor quality of water sources in the area, targeted action in the protection of surface water sources should be given priority.     

农业面源污染对我国农村地表水的影响与对策研究

基于2015—2021年我国农村地表水环境质量监测数据,分析了农村地表水环境质量状况特征;选取农业农村社会经济活动相关参数,与农村地表水中主要超标因子的超标比例进行了相关性分析;以2020年为基准年,对全国31个行政区,涵盖农村地表水水质状况、农业农村活动水平和污染压力、环境容量3个方面的9个指标进行了聚类分析。结果表明,我国农村地表水的变化趋势、季节特点和主要超标因子等表现出明显的农业面源污染特征;乡村人口、农业投入品使用量和经济作物种植比例等参数与主要超标指标具有较强的相关性（R＞0.9）;聚类分析将全国31个行政区划分为7种不同的农业面源污染类型。提出,应根据不同地区农业面源污染特点,因地制宜地推进标准化规模养殖、畜禽粪污资源化利用、化肥减量行动、高效低风险农药推广等农业面源污染治理措施,进一步加大农村生活污水处理设施建设,同时,完善农村环境质量监测网络,加强农业面源污染监测和评估。     

长江江苏段抗生素的空间分布特征及典型污染来源分析

利用超高效液相色谱-三重四极杆质谱法,于2021年4月对江苏省长江干流12个监控断面、入江支流116个监控断面表层水中7大类42种抗生素的分布特征和浓度水平进行研究,并开展典型污染来源分析。结果表明,平水期长江干流42种抗生素总质量浓度范围为47.3～92.8 ng/L,处于较低水平;各入江支流抗生素总质量浓度范围为16.2～3 052 ng/L,干支流水体中检出品种以磺胺类、氯霉素类、林可酰胺类及大环内酯类为主;通过差异性比较发现,C市存在磺胺类抗生素污染的典型区域;典型污染溯源分析结果表明,工业废水可能是该地区环境水体中抗生素污染的来源之一。长江江苏段及地表水中各类抗生素普遍检出,虽然抗生素总量水平不高,但由制药废水、畜禽养殖、污水处理厂等污染源引入而引起的长期积累仍是隐患。研究结果为江苏省长江流域水环境抗生素污染控制和管理提供基础数据。     

湘江株洲段氨氮污染变化趋势及规律研究

对湘江干流株洲段中氨氮在近10年来时间、空间上的变化规律进行了全面分析。结果表明,氨氮污染的空间浓度变化较明显,霞湾断面的氨氮含量最高;通过对污染源的治理,目前氨氮污染有减轻趋势;同时对污染源情况进行详细调查,工业污染源相对畜牧业、非点源的污染较重,但未经处理的生活污水,则成为湘江株洲段最重要的氨氮污染源。     

Impact evaluation of agrotechnologies in watersheds

The special project RAISA (Advanced Researches for Innovation in Agricultural Systems) of the National Research Council of Italy concerns the development of new methodologies for the study and evaluation of the impact of agrotechnologies on the environment. In the project, several trans-disciplinary Units have worked together since 1990. The aim of the project is to define systems, using tools such as remote sensing and Geographical Information Systems, for decision making support in land planning and land use management, with particular attention to groudwater table pollution. The fundamental steps for evaluation of the impact of agrotechnologies on the Po river watershed, 75,000 km² in northern Italy, and Tevere (Tiber) river watershed, 17.169 km² in Central Italy are described here. The study concerns particular areas located in the western part of the Po River plain, where flooded rice is the main crop, and in the central plain of the Tevere basin where the risk of water pollution is considerable, due to small and medium sized swine breeding farms. The aspects considered were water pollution due to mineral nitrogen used to fertilize the rice crop and the nitrogen contained in the waste water from pig farms. For the Po river basin the methodology developed was based on the integration of satellite remote sensing images, and the available cartography, such as topographic and thematic maps, together with the hydrological and the toxicological data of the chemical fertilizers employed, summarized in maps of the groundwater table pollution hazard. A simpler evaluation was obtained in the Tevere river basin: the thematic layers were crossed in bi-directional matrices and the result merged with the map of the territorial distributionof the swine. In both cases the selected information was integrated and processed in Integrated sub-basin scale. The GISs led to the development of a user-friendly system for formalizing our knowledge of the degree of pollution hazard in simple and readable maps.Research supported by National Research Council of Italy, Special Project RAISA, sub-project N. 1 Paper N.