太湖大气氮、磷干湿沉降特征

于2018年1—12月,采集太湖湖滨及湖面共计9个点位600多个干湿沉降样品,估算了N、P干、湿沉降率以及全太湖2018年N、P干、湿沉降通量。结果表明,2018年太湖TN和TP月湿沉降率均值分别为161. 2和7. 1 kg/(km~2·月),TN和TP月干沉降率均值分别为103. 6和4. 5 kg/(km~2·月)。TN和TP年干沉降率空间分布规律为:湖面之上开阔水域处的TN和TP年干沉降率大于其他湖滨点位,TN和TP总沉降通量为7 702和333 t/a。2018年相比于2002—2003年,TN和TP总沉降通量分别降低了22. 6%和53. 8%。     

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。     

基于LOADEST模型和M-K检验的淮河入洪泽湖氮磷污染通量分析

基于2015—2020年淮河入洪泽湖断面的水文水质数据，利用LOADEST模型建立污染物通量与河流流量之间的统计回归模型，并估算淮河入洪泽湖总氮（TN）、总磷（TP）污染物通量。结果表明，2005—2020年间淮河TN、TP年平均输移通量分别为（4 730.14±1 893.32）t、（257.56.±108.53）t；受流量变幅影响，TN、TP输移通量与河流流量均呈极显著性相关关系（p＜0.01）。采用M-K检验分析发现，研究期间淮河TN和TP的输移通量总体上呈下降趋势，2018年12月后受入湖水量与氮磷浓度双重影响氮磷输移通量下降趋势更为明显。     

新疆大气氮沉降监测研究进展浅析

通过对新疆12个监测点氮沉降研究结果发现,无机活性氮浓度(p NH 4+、p NO 3-、NH 3、NO 2)在不同生态系统存在较大的时空差异,氮沉降通量变化随人为干扰程度呈递增趋势。总结了当前新疆大气氮沉降监测研究进展,包括主要监测方法、不同生态系统大气氮素干沉降的时空差异性分析、大气氮素干湿沉降通量估算。对大气氮素干湿沉降通量的整体估算、不同生态系统的监测常态化等还存在不足,未来评估氮沉降的综合气候效应、定量临界负荷以及生态系统对氮沉降通量急剧增加的响应是今后研究的重点方向。     

基于DPeRS模型的淮河流域氮磷面源污染评估

采用DPeRS模型对淮河流域氮、磷面源污染空间特征进行遥感像元尺度解析,并对"十三五"《重点流域水污染防治规划》中划定的淮河流域235个控制单元进行面源污染优先控制单元分析。结果表明,淮河流域2016年TN和TP面源污染排放量分别为44. 99和2. 44万t,入河量分别为27. 72和1. 27万t;空间分布上,淮河流域的东部和南部氮、磷污染程度较为显著,北部污染程度较轻;农田径流型是淮河流域最主要的氮、磷面源污染源,均占到总污染量90%以上,是该流域氮、磷面源污染防治优先控制的污染源,对于TN指标次要影响类型为城镇地表径流,对于TP指标次要影响类型为畜禽养殖;筛选出淮河流域TN和TP面源污染优先控制单元分别为164和185个,面积占比分别为75. 3%和85. 0%。     

高纬区阿什河面源氮和磷污染输出特征

基于阿什河2008—2010年水质监测和流量监测结果,利用改进的埃特金和相关性拟合插值法,补全监测条件限制造成的缺失数据,再利用基流分割法,估算阿什河面源氮和磷污染输出量,分析其污染特征。结果显示:阿什河进入松花江的污染负荷峰值一般出现在3—5月或者7—9月,主要由春汛或夏汛造成,峰值出现时污染来源以面源污染为主。2008—2010年阿什河面源污染输出量表现出TP减少,TN和NH_4~+-N增加的趋势。阿什河年均输出量TN约为5 436.6 t,NH_4~+-N约为3 057.8 t,TP约为554.8 t,其中,点源污染为2 775.8、1 440.7、250.8 t,面源污染为2 660.7、1 630.7、304.1 t,面源污染占总量的50%左右。     

以沙湖为例探究宁夏内陆封闭型湖泊水体污染原因

为研究西北地区封闭式湖泊水质恶化原因及水体污染物迁移转化规律,以宁夏沙湖为研究对象,对沙湖2012—2017年水体污染物总量变化趋势及沙湖周边地表水环境质量进行分析。研究结果表明:沙湖水环境质量变化主要由内源性污染和外源性输入造成,其中内源性污染源主要为沙湖沉积物污染物释放,沙湖水体沉积物通过孔隙水向沙湖水体转移的CODMn、CODCr、TP、TN、氟化物分别占水体总污染物的6.4%、6.6%、16.6%、14.2%、31.4%；沙湖外源性污染源主要为黄河补水和农垦集团稻田等面源污染,其中黄河补水向沙湖 转移的 CODMn、CODCr、TP、TN、氟化物分别占沙湖水体污染物总量的49%、30%、279%、99%、13%,沙湖周边面源性污染通过渗透作用向沙湖水体输入的CODMn、CODCr、TP、TN、氟化物分别占沙湖水体污染物总量的23%、18%、52%、34%、19%,外源性污染物输入占沙湖水体污染物总量CODMn、CODCr、TP、TN、氟化物分别为72%、48%、331%、133%、32%,但由于水体自身净化作用, TP和TN已大幅度降解。     

大宁河水体营养盐状况与水华爆发之间关系分析

通过对大宁河常规监测和水华爆发期间加密监测断面的氮、磷营养盐指标统计,运用综合评价、相关性分析等方法对大宁河氮、磷营养盐分布和叶绿素a与总磷、总氮的关系进行了分析.结果显示,水华爆发期间叶绿素a与总磷、总氮呈正相关关系,总磷是大宁河水华爆发的限制因子.氮磷水平呈现从上游到入长江口逐渐递增趋势,长江回灌作用对大宁河输入部分氮、磷营养盐.     

2015年以来太湖总磷升高原因的研究

对2015年以来的太湖TP变化趋势进行了研究,并对TP升高原因进行了分析。结果表明,2015—2019年,太湖TP浓度由0.059 mg/L上升至0.079 mg/L,涨幅34.1%。太湖TP上升的原因可能为:随入湖大量泥沙的带入而累积;东太湖水生植被覆盖面积急剧下降,使得湖体TP上升幅度明显;太湖磷营养盐浓度影响着蓝藻水华爆发的强度,蓝藻水华加快了湖体磷循环;夏季受台风天气影响,风浪较大的条件下造成底泥的再悬浮与释放而影响水质。     

千岛湖沉积物中碳、氮、磷的分布特征及污染评价

通过测定千岛湖柱状沉积物中有机质（OM）、总氮（TN）和总磷（TP）含量,分析其污染分布特征,并评价污染水平。结果表明,千岛湖沉积物中OM、TN、TP平均值分别为1.44%、1.86mg/g、0.89mg/g。空间分布差异明显,城区库湾、新安江干流沿线污染相对较重;垂直分布,OM、TN、TP整体上均从湖底由下而上呈逐步上升变化过程。相关性分析表明,该湖沉积物中OM、TN、TP具有较高的同源性,氮、磷多以有机形式存在。C/N值表明,该湖沉积物中有机质主要来自内源的水生生物分解。评价结果显示,综合污染指数范围为1.1～4.2,该湖整体上处于重度污染水平,TP污染重于TN;有机指数范围为0.04～0.52,整体上属于轻度污染水平。     

湖州合溪新港污染物入湖通量估算与分析

根据2021年5月—2022年4月合溪新港河流水量、水质(TN和TP)的同步监测数据，利用通量模型核算了合溪新港污染物(TN和TP)通量。通过测算合溪新港TN、TP通量与断面降雨强度、水质的响应关系，分析了该区域的污染类型及特点，为后期水质污染调查及通量研究提供了新思路。结果表明：合溪新港流量与降雨量存在明显相关关系，在强降雨期(7—8月)水体流量最高，占监测周期总流量的57.77%;少雨期则流量最低，且会出现湖水倒灌现象(11—12月)。通过分析合溪新港TN、TP通量与流量、水质的相关关系，确定了该流域污染类型为点源污染及农业面源污染共存的混合型污染，且在高强度降雨时污染物负荷量较大。综上，可针对农业面源污染对该流域治理提出相关对策，建立农业面源污染防治体系，以有效降低TN和TP污染物的入湖通量，减少太湖TN和TP污染物负荷量。     

The temporal changes in road stormwater runoff quality and the implications to first flush control in Chongqing, China

This study investigates the quality of stormwater runoff from a driveway in the southwest mountainous urban area of Chongqing, China, from 2010 to 2011. The results showed that the mean concentrations of chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) were 4.1, 2.4, and 2.2 times the grade V levels of the national surface water standard of China. The pollutant concentration peak preceded or synchronized with the rainfall intensity peak and occurred 10 min after the runoff started. The significant high pollutant concentration in the initial stage of the rainfall suggested that first flush control is necessary, especially for the most polluted constitutes, such as total suspended solids, COD, and TN. Three potential pollution sources were identified: the atmospheric dry and wet deposition (TN, NO₃ ^?-N, NH₄ ⁺-N, and DCu), the road sediment and materials (total suspended solids, COD, and TP), and the vehicle emissions (DPb and DZn). Therefore, this study indicates that reductions in road sediments and material pollution and dry and wet deposition should be the priority factors for pollution control of road stormwater runoff in mountainous urban areas.     

基于3S技术对太湖底质及水质总磷的研究

应用3S技术研究了太湖底质与水质总磷(TP)的分布情况,并结合水华频次分析了其相关性。结果表明:2016—2018年,太湖底质TP年均值在433~537 mg/kg波动,水质TP年均值从0.064 mg/L上升至0.087 mg/L。从空间分布来看,底质TP、水质TP和水华频次均呈现“西高东低”的规律,太湖西部区尤其是竺山湖区是需要开展治理的重点区域。3年间,太湖西部区水质TP上升,而底质TP与入湖河流TP下降,说明内源磷污染是太湖西部区水质TP升高的主要原因,须加强科学清淤。     

Nutrient spatial pattern of the upstream,mainstream and tributaries of the Three Gorges Reservoir in China

A comprehensive monitoring program was conducted to investigate the nutrient spatial pattern in the mainstream of the Yangtze River from the Baihetan Dam down to the Three Gorges Dam located at the upper region of the Yangtze River in China. Samples were taken from 33 different sites from July 30 to August 19, 2011. The nutrient patterns of the three representative tributaries of the Three Gorges Reservoir (TGR)—the Modao, the Daning, and the Xiangxi Rivers—were also investigated. The results show that the mainstream of the TGR has a higher concentration of nitrogen and a lower concentration of phosphorus than that of the upper mainstream before the TGR. Moreover, it was found that nitrate-nitrogen (NO₃-N) is the main nitrogen component, while particulate phosphorus predominates the total phosphorus (TP). It was found that the three representative tributaries of the TGR have lower total nitrogen (TN) concentrations compared to the corresponding sections of the mainstream TGR. Based on the nutrient spatial pattern, the nutrient flux was calculated. The total fluxes of TN, NO₃-N, TP, and orthophosphate (PO₄-P) from the upstream reach into the TGR are 2,155.06, 1,674.97, 212.98, and 83.42 t day^?1, respectively. The amount of nutrients imported from the TGR into its tributaries is more than the amount exported. It was determined that the Xiangxi River has the largest net rate of imported nitrogen at 7.66 t day^?1, whereas the Daning River has the largest net rate of imported phosphorus at 1.75 t day^?1. In addition, compared with the nutrients imported from the TGR into its tributaries, the nutrient flux from the upstream reach into the TGR contributes approximately less than 3 %.     

典型湖泊水华特征及相关影响因素分析

通过2011-2015年对太湖、巢湖和滇池水华高发季节的连续监测，以藻类密度和水华面积为判据评价了3个湖体的水华情况及变化趋势，探讨了水华发生的主要影响因素。结果表明：太湖水华程度以"轻度水华"为主，巢湖水华程度以"轻微水华"为主，滇池水华程度以"中度水华"为主；太湖、巢湖和滇池水华规模均以"零星性水华"为主；太湖和巢湖藻类密度与水温、pH、溶解氧、总氮、总磷和高锰酸盐指数均呈显著正相关，与透明度呈显著负相关，与氨氮无显著相关性；滇池藻类密度与水温、总磷和高锰酸盐指数均呈显著正相关，与透明度和氨氮呈显著负相关，与pH、溶解氧和总氮无显著相关性。     

Response of algal metrics to nutrients and physical factors and identification of nutrient thresholds in agricultural streams

Many streams within the United States are impaired due to nutrient enrichment, particularly in agricultural settings. The present study examines the response of benthic algal communities in agricultural and minimally disturbed sites from across the western United States to a suite of environmental factors, including nutrients, collected at multiple scales. The first objective was to identify the relative importance of nutrients, habitat and watershed features, and macroinvertebrate trophic structure to explain algal metrics derived from deposition and erosion habitats. The second objective was to determine if thresholds in total nitrogen (TN) and total phosphorus (TP) related to algal metrics could be identified and how these thresholds varied across metrics and habitats. Nutrient concentrations within the agricultural areas were elevated and greater than published threshold values. All algal metrics examined responded to nutrients as hypothesized. Although nutrients typically were the most important variables in explaining the variation in each of the algal metrics, environmental factors operating at multiple scales also were important. Calculated thresholds for TN or TP based on the algal metrics generated from samples collected from erosion and deposition habitats were not significantly different. Little variability in threshold values for each metric for TN and TP was observed. The consistency of the threshold values measured across multiple metrics and habitats suggest that the thresholds identified in this study are ecologically relevant. Additional work to characterize the relationship between algal metrics, physical and chemical features, and nuisance algal growth would be of benefit to the development of nutrient thresholds and criteria.     

太湖流域果园种植面源氮磷输出强度及其定量评估方法

以太湖流域上游地区无锡阳山地区果园种植典型区域为研究对象,通过现场试验,调查了果园种植面源氮磷输出动态变化过程,计算并分析了氮磷输出强度,构建了果园种植面源氮磷输出强度定量评估模型。结果表明:取样监测期间,果园种植径流及淋溶氮磷指标变化幅度均超过200%;果园种植面源氮磷径流输出强度与其淋溶输出的变化一致,径流总氮的输出强度最高(13.201 kg/hm~2),淋溶硝酸盐输出强度最大(4.077 kg/hm~2);所建立的评估方程能较好地反映降雨量等环境因素对果园种植面源氮磷径流及淋溶输出强度的影响情况,模拟方程的复相关系数均在0.9左右。     

滆湖大型底栖动物群落分布和氮磷因子的相关分析

于2012年12月—2013年11月对滆湖水体进行了调查,分析了水体氮、磷及大型底栖动物的时空分布,初步探讨大型底栖动物群落结构与氮、磷环境因子的关系。结果表明,滆湖水体的ρ(TN)在冬春季较高,ρ(TP)四季的差异不大,在空间分布上,北部湖区的ρ(TN)、ρ(TP)均高于南部湖区;大型底栖动物出现频率最高的为霍甫水丝蚓和中国长足摇蚊,其丰度在时间上均表现为秋季夏季冬季春季,在空间上的规律性不明显;CCA分析表明滆湖大型底栖动物群落结构随季节变化规律显著,且氮含量是滆湖底栖动物群落结构的重要影响因子;对优势种的丰度与氮磷的相关性分析结果显示,滆湖底栖动物优势种与TN和NO_3~--N有显著的负相关关系。     

Multivariate Analysis of Interactions Between Phytoplankton Biomass and Environmental Variables in Taihu Lake, China

Phytoplankton variation in large shallow eutrophic lakes is characterized by high spatial and temporal heterogenity. Understanding the pattern of phytoplankton variation and the relationships between it and environmental variables can contribute to eutrophic lakes management. In this study Taihu Lake, one of the largest eutrophic fresh water lake in China, was taken as study area. The water body of Taihu Lake was divided into five regions viz. Wuli bay (WB), Meilian Bay (MB), West Taihu Lake (WTL), Main Body of Taihu Lake (MBTL) and East Taihu Lake (ETL). Concentrations of chlorophyll-a and the related environmental variables were determined in each region in the period 2000–2003. Factor analysis and multivariate analysis were applied to evaluate the interactions between phytoplankton variation and environmental variables. Results showed that the highest average concentrations of TN, TP and Chl-a were observed in WB, followed in a descending order by MB and WTL, and the lowest concentrations of TN, TP and Chl-a were observed in MBTL and ETL. Chl-a and TP concentrations in most regions (except ETL) declined during the study period. It suggested that to some extent the lake was recovering from eutrophication. However, persistent ascending of TN and NH₄–N in all five regions indicated the deteriorating of water quality in the study period. Results of multivariate showed that the relationships between phytoplankton biomass and environmental variables varied among regions. TP illustrated itself a controlling role on phytoplankton in WB, MB, WTL and MBTL according to the significant positive relations to phytoplankton biomass in these regions. Nitrogen could be identified as a limiting factor to phytoplankton biomass in ETL in view of the positive correlations between TN and phytoplankton and between NH₄–N and phytoplankton. Spatial variation of interactions between phytoplankton and environmental parameters suggested proper eutrophication control measures were needed to restore ecological system in each region of Taihu Lake.