常州市老城区水体有机污染分布特征及原因初探

为了老城区河道的合理整治,采用总有机碳（TOC）分析仪对常州市老城区3条河流及区域内浅层地下水的14个采样点水样进行3个月的总有机碳含量检测。老城区水环境受到不同程度的有机污染,某些地下水的TOC含量高于地表水,原因为地表水补给地下水,且老城区水体污染源主要来源于周边地区的生活污水,并受到关河、雨水等的影响,这为常州市老城区水污染治理提供了依据。     

基于比值法解析老城区河段氮磷污染特征

2013年12月—2015年2月,对南淝河老城区约4 km河段水体和主要点源的氮、磷污染物进行测定,并利用碳氮比(CODCr/TN)、氮磷比(TN/TP)、氨氮百分含量(NH3-N/TN)等主要指标对所得数据进行分析研究。结果表明,南淝河老城区段水体的氮磷污染严重,氨氮百分含量接近甚至超过50%,具有一般城市生活污水的特征;氮磷比在春夏季处于藻类适宜的生长范围(9.0TN/TP22.6);整个水体处于低碳氮比水平(碳氮比小于2.5),不利于水体的净化;主要受上游望塘污水处理厂、城市生活污水和地表径流的影响。其主要支流四里河水体的氮磷污染亦相当严重,且氮、磷污染物的输入途径一致。     

污水处理厂氮排放特征

为了更好地掌握污水处理厂运行和排放情况，在全国南方、北方分别选取3个省共11个城市122家污水处理厂，于2013年8—10月进行了专项监测。结果表明：75?4％的污水处理厂氨氮出水质量浓度小于2 mg／L，氨氮平均去除率达90?2％，但总氮的平均去除率仅为55?5％，污水处理厂排水中仍存在较多非氨氮形态的氮污染进入环境。氨氮排放达标的污水处理厂中，有约20％的总氮排放未达标。65?5％的污水处理厂出水氨氮占总氮的比例低于10％，而84?4％的污水处理厂进水中氨氮占总氮的比例高于50％。总氮是影响污水处理厂达标排放的主要污染因子。     

浙江省水体富营养化特征及防治对策

为研究浙江省水体富营养化特征,对全省历年省控断面地表水水质、污染源和重点藻华高发河流营养盐通量等数据进行了统计分析。结果表明:全省水体营养盐水平总体仍处于高位,重点流域富营养化问题突出,省控断面富营养、重富营养占比分别为78.7%和43.0%,营养盐已持续成为地表水首要污染超标因子。通过近年来的集中整治,浙江省水体营养盐浓度下降明显。但治理过程中也出现了总氮减排滞后,部分水域总磷浓度反弹等不利现象。特别是相应的藻类生长势能尚未进入下降敏感区间,对藻华防控贡献有限。同时,全省入河营养盐城镇生活源和农业面源占比突出,总氮合计占89.27%,总磷占95.45%。重点流域地表径流对营养盐入河通量贡献明显,汛期其对河流总磷浓度的贡献明显高于固定源排放。建议在营养盐总量控制、跨部门协调机制、水资源配置、农业面源管理、城镇雨污管网建设、雨污处理以及河流生态修复等方面加强应对。     

北京市主要水污染物排放特征及水质改善对策

污染排放信息是环境决策的重要依据。分析了北京市水环境质量的现状,基于最新源排放清单,解析北京市当前主控污染物COD、氨氮排放的结构特征和空间特征,以期为北京市开展基于流域综合治理的水污染控制和水环境管理提供依据。按照工业源、农业源、生活源和集中处理设施的环境统计口径,2013年,COD、氨氮的排放构成分别为2.7%、37.1%、35.0%、25.3%和1.5%、20.1%、54.8%、23.6%。其中,农业源中畜禽养殖排放是主要来源,COD、氨氮总排放分别占农业源总排放量的94.7%和87.0%。在北京市五大水系中,北运河流域排放量最大,COD、氨氮排放量分别占全市总排放量的53.3%和57.4%。为改善北京市水环境质量,建议从加快污水处理厂提标改造、推动面源污染治理、加强水利联通、合理规划城市规模布局等4个方面入手。     

内河涌氨氮污染的特征及其来源的研究

以佛山市雅瑶涌为研究实例,探讨了珠江三角洲河网地区围内河涌氨氮污染的特征,并对氨氮的来源进行了研究。内河涌的氨氮污染逐年严重,并呈现季节性的变化,已成为最主要的污染因子。研究结果表明,畜牧水产业和非点源都是比较显著的氨氮污染源,但未经集中式污水处理厂处理的生活污水,则成为内河涌最重要的氨氮污染源。     

北京市水环境非点源污染监测与负荷估算研究

文章对北京全市域范围开展水环境非点源污染监测以及污染负荷估算研究。监测结果表明,天然降雨氨氮、总氮污染程度高;城区典型下垫面降雨径流的有机污染十分严重,其中屋面降雨径流总氮和氨氮污染最严重,路面降雨径流COD和总磷污染最严重;下垫面降雨径流汇入城市排水管网后,由于冲洗下水道中的沉积物,使得水质污染进一步恶化。农业典型小流域面源污染对水质影响也很明显。城市非点源污染负荷估算选用SWMM暴雨径流模型,农业非点源污染负荷模型选用改进的输出系数模型,估算结果表明:城市非点源污染主要来自大气湿沉降、综合用地、路面和屋面等,农业非点源污染主要来自耕地和林地;全市污染物排放总量中,点源排放总量与非点源排放总量基本各占50％左右。为进一步挖掘污染减排空间,完善总量减排体系提供了依据。     

城市合流制管网降雨径流污染特征分析

对北京市老城区合流制管网排除系统下游干管进行降雨径流监测,分析降雨径流和生活污水混合后的水质变化特征,以便为合流制管网污染控制提供数据依据。结果表明北京市合流制管网污染程度较高,其污染过程受降雨过程、管道汇流过程、地表径流污染特征和管道沉积物冲刷等综合影响。     

基于GIS技术和线性结构模型的漓江流域水污染状况分析

通过在漓江流域布设4个采样点,采集2014年全年水质数据,并作主成分分析,选取生活污水因子、农业径流因子、工业污水因子为污染因子输入线性结构模型中进行关系分析。结果显示,生活污水因子、农业径流因子、工业污水因子与水质污染因数的关系分别为0.49、0.37、0.13,说明漓江流域水污染主要由生活污水引起,其次是农业污水。把漓江流域7个县区的人口密度、农业比例、工业比例分布归一化,代入水质因数,获得水质评价指数。采用GIS对漓江流域人口密度和企业密度的空间分布和聚类关系进行分析,发现漓江流域人口分布、企业分布与水质呈负相关关系。     

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。     

城市生活污染对浏阳河长沙城区段水质的影响

对浏阳河长沙城区段的水质现状和污染来源进行了调查。结果表明,浏阳河河水流经长沙城区后,氨氮和总磷浓度分别升高了9.49倍和7.75倍,但铁、锰和高锰酸盐指数等其他监测指标无显著变化。浏阳河长沙城区段的污染主要是由于区域内生活污水直接排入和污水处理厂尾水排入导致清污比例严重失调引起的,城市生活污染对浏阳河长沙城区段水质下降的贡献最大。此外,湘江长沙综合枢纽工程库区回水的顶托作用对浏阳河长沙城区段水质也有一定影响。     

Modeling the Effects of Air Quality Policy Changes on Water Quality in Urban Areas

This paper describes the development and application of an integrated modeling framework composed of an urban air chemistry model, an urban runoff model, and a water-quality model. The models were linked to simulate the fate and transport of air emissions of nitrogen compounds in the air, urban watershed, surface water runoff, and in a coastal receiving-water body. The model linkage is demonstrated by evaluating the potential water quality implications of reducing NO _x emissions by 32%, volatile organic compound emissions by 51%, and ammonia emissions by 30%, representing changes from 1987 levels to proposed 2000 target levels in Los Angeles, California, USA. Simulations of the Los Angeles dry season during the summer of 1987 (June 1 to August 31) indicated that by reducing emissions from 1987 to proposed year 2000 levels, the dry deposition nitrogen loads to Santa Monica Bay and the Ballona Creek watershed were reduced 21.4% and 15.0%, respectively. Water quality modeling results indicated that dry season atmospheric load reductions to the Ballona Creek Estuary did not reduce chlorophyll-a levels or significantly raise nighttime dissolved oxygen levels because the magnitude of the reductions was negligible compared to non-atmospheric inputs of nitrogen compounds. Simulations of the time period from November 18, 1987 to December 4, 1987 during the Los Angeles wet season indicated that air emissions reductions produced an 18.6% reduction in the dry deposition nitrogen load to Santa Monica Bay, a 15.5% reduction in the dry deposition nitrogen load to the Ballona Creek watershed, a 16.8% reduction in the wet deposition nitrogen load to the Ballona Creek watershed, and a 16.1% reduction in the stormwater discharge load from the Ballona Creek watershed. Although the wet season load reductions are significant, modeling results of the ultimate effect on the Ballona Creek Estuary water quality were inconclusive.     

Load estimation and source apportionment of nonpoint source nitrogen and phosphorus based on integrated application of SLURP model, ECM, and RUSLE: a case study in the Jinjiang River, China

The nonpoint source (NPS) pollution is difficult to manage and control due to its complicated generation and formation. Load estimation and source apportionment are an important and necessary process for efficient NPS control. Here, an integrated application of semi-distributed land use-based runoff process (SLURP) model, export coefficients model (ECM), and revise universal soil loss equation (RUSLE) for the load estimation and source apportionment of nitrogen and phosphorus was proposed. The Jinjiang River (China) was chosen for the evaluation of the method proposed here. The chosen watershed was divided into 27 subbasins. After which, the SLURP model was used to calculate land use runoff and to estimate loads of dissolved nitrogen and phosphorus, and ECM was applied to estimate dissolved loads from livestock and rural domestic sewage. Next, the RUSLE was employed for load estimation of adsorbed nitrogen and phosphorus. The results showed that the 12,029.06 t?a^?1 pollution loads of total NPS nitrogen (TN) mainly originated from dissolved nitrogen (96.24 %). The major sources of TN were land use runoff, which accounted for 45.97 % of the total, followed by livestock (32.43 %) and rural domestic sewage (17.83 %). For total NPS phosphorous (TP), its pollution loads were 570.82 t?a^?1 and made up of dissolved and adsorbed phosphorous with 66.29 and 33.71 % respectively. Soil erosion, land use runoff, rural domestic sewage, and livestock were the main sources of phosphorus with contribution ratios of 33.71, 45.73, 14.32, and 6.24 % respectively. Therefore, land use runoff, livestock, and soil erosion were identified as the main pollution sources to influence loads of NPS nitrogen and phosphorus in the Jinjiang River and should be controlled first. The method developed here provided a helpful guideline for conducting NPS pollution management in similar watershed.     

The influence of estuarine water quality on cover of barnacles and Enteromorpha spp.

The influence of ambient water quality on the settlement of barnacles and the green alga Enteromorpha spp. to an artificial substratum in the estuaries of Sydney, Australia, was investigated to test the efficacy of both groups of organisms as indicators of changes in water quality due to urban stormwater runoff and/or sewage overflows. Wooden settlement panels were immersed for 4 months on 17 occasions between 1996 and 2005 at 11 locations known to vary in water-quality parameters (conductivity, total uncombined ammonia, oxidised nitrogen, total nitrogen, filterable phosphorus, total phosphorus, faecal coliforms and chlorophyll-a) and ambient meteorological conditions (total rainfall, maximum rainfall). Water-quality data were collected during the time that the settlement panels were deployed. Cover of barnacles was highly variable among locations (range 1.2?C55.2%). Hierarchical partitioning found that chlorophyll-a, total phosphorus and total nitrogen had significant independent positive effects on barnacle cover. Together, these variables explained 26% of the variation in barnacle cover. Mean cover of Enteromorpha spp., however, did not vary significantly among locations suggesting that other potentially more important factors are influencing its settlement and growth. The results of this study suggest that barnacle cover is likely to be a useful indicator of some components of water quality.     

高浓度含氨废水中氨氮的快速测定

依据铵盐与甲醛反应生成等物质量酸的原理,建立了一种快速测定高浓度含氨废水中氨氮含量的甲醛法。试验结果表明,甲醛法所测结果与国家标准分析方法比较无显著性差异。该方法的加标回收率范围为96％～103％,具有快速、简便的优点,对合成氨工业废水和生活污水中氨氮的测定结果令人满意。     

微纳米气泡改善太湖入湖河道水质的工程实例研究——苏州南北华翔河水质改善工程为例

太湖入湖河道，在各级政府及部门的努力工作下，经过点源治理、截污、清淤、生态修复等综合手段治理，水质逐年好转，但还存在很大的提升空间，本研究采用微纳米气泡气液分散系统，对人湖河道水体进行原位净化处理，结果表明，CODMn、氨氮、总磷的平均去除率分别为36．8％、42．4％，49．1％。入湖水质达到国家地表水Ⅱ-Ⅲ类标准。     

上海市城镇污水处理厂氨气排放定量研究

通过对上海市3家城镇污水处理厂主要污水处理工艺臭气收集处理装置进出口有组织排放和二沉池等敞开液面无组织排放氨采样,研究污水处理厂氨气排放特征,建立污水处理厂分季节本地化氨排放系数,并计算2019年上海市城镇污水厂氨排放量。结果表明:3家污水处理厂氨排放系数平均为4.8 mg/m³,其中污水处理环节氨排放系数为3.3 mg/m³,污泥处理环节氨排放系数为1.5 mg/m³。2019年上海市城镇污水处理厂氨排放量为10.3 t。