Ionic imbalance due to hydrogen carbonate from Asian dust

In an attempt to identify the ionic imbalance, hydrogen carbonate, HCO₃⁻ (bicarbonate), was determined together with the commonly determined nine major ions because the imbalance was frequently encountered in the chemical analysis of samples with high pHs. Titration method was applied for the determination of the samples with pH higher than 5.6. These samples amounted to 102 of the 1536 samples collected in Hokkaido, Northern Japan, from April 1998 to December 2002. Of the 102 samples, 74 (Group A) showed an acceptable ion balance without including HCO₃⁻. In the other 28 (Group B), however, inclusion of HCO₃⁻ successfully improved the ion balance. These results suggested that hydrogen carbonate was a potential candidate for explaining the imbalance. The hydrogen carbonate concentrations showed a strong correlation with the corresponding non-sea salt calcium (nss-Ca²⁺) concentrations, which implied that hydrogen carbonate was derived from calcium carbonate particles incorporated into falling raindrops or cloud droplets. For Group A, the relationship between hydrogen carbonate and the nss-calcium ion concentration was very similar to that for commonly suspended particles in Hokkaido. On the other hand, Group B exhibited a stronger but significantly different correlation. To the samples of Group B, a back-trajectory analysis was applied to demonstrate that the samples were associated with aerosol travelling from Northern China or Mongolia, which indicated that alkaline aerosol affected the chemistry. In consideration of these findings, the current standard of the ion balance should be critically reviewed for modification in regard to the contribution of hydrogen carbonate not only in source areas but also in receptor areas of alkaline aerosol.     

基于时序NDVI数据的鄱阳湖流域常绿覆被季节性变化特征

选择位于红壤丘陵区的鄱阳湖流域作为研究对象，利用1 km×1 km分辨率的时序SPOT4 VEGETATION数据，对流域内典型土地覆被--常绿覆被的绿度值、峰值、谷值、年均NDVI(NDVI-I)和NDVI年内极差(NDVI MM)等特征值进行了提取。在此基础上，探讨了不同常绿覆被类型的NDVI指数年内季节变化规律。结果表明：时序NDVI指数基本上能够较好地刻画不同常绿覆被类型之间的差异性，植被指数NDVI特征值随覆被的类型及其生长状态有规律地变化，即NDVI年均值和最小值基本上按“常绿阔叶林＞常绿针阔叶混交林＞常绿针叶林＞常绿针叶-落叶混交林”的顺序变化；典型常绿阔叶林的NDVI指数年内变化曲线基本上没有大的起伏波动；常绿针叶林以及常绿针阔叶混交林占主导地位的常绿混交林NDVI指数年内变化比较和缓，但常在8月和11月有所波动；以常绿针叶林为主、但有较多落〖JP2〗叶林混杂其中的常绿混交林，其NDVI指数年内变化曲线基本上呈和缓的单峰型波动。     

太湖北部小流域沉积物重金属污染特征与评价

近几十年来重金属的沉积记录、来源及污染水平受到了广泛关注.为探明太湖北部小流域重金属的污染来源和环境质量状况,本研究分析了柱状沉积物中8种重金属（Mn、Cr、Zn、Cu、As、Pb、Ni和Co）含量.运用主成分分析法判定污染源,富集因子法表征重金属富集特征,通过熵权模糊模型对沉积物中重金属污染状况进行评价.结果显示,所有重金属含量均较高,高低依次为Mn > Cr > Zn > Cu > As > Pb > Ni > Co.其中Mn含量最高,为380.06~767.69μg/g.沉积物重金属污染的主要贡献因子为交通排放、农业污染和煤炭燃烧.As的富集指数最大（2.89~15.61）.其中77.59%的沉积层属于显著富集,受人类活动影响最为显著.熵权模糊综合评价结果表明,Cu（0.483）和As（0.352）的权重值最大,是沉积物中的首要污染物,且65.52%的沉积层重金属含量处于中度污染水平.     

洞庭湖区南汉垸水体浮游植物群落结构特征及其影响因素

环境要素的变化对浮游植物的群落结构和功能具有重要影响.为揭示洞庭湖南汉垸湖区浮游植物群落结构特征及其影响因素,分别于2017年11月（关泵封水期）和2018年6月（开泵放水期）在洞庭湖区典型堤垸——南汉垸进行了采样调查,并对调查区域内的浮游植物及主要水环境因子进行了系统监测和分析.结果表明:①调查期间共检出浮游植物8门62属,主要隶属于绿藻门（Chlorophyta）、硅藻门（Bacillariophyta）和蓝藻门（Cyanophyta）,浮游植物分布表现出较为显著的时间差异性,11月浮游植物的丰度为8.34×106~3.02×108 L-1,6月为1.13×106~2.04×107 L-1.②Shannon-Wiener多样性指数（H'）介于1.10~3.24之间,Margalef丰富度指数（d）介于1.42~6.40之间,Pielou均匀度指数（J）介于0.48~0.87之间,多样性评价表明,南汉垸整体上介于轻污染与β-中污染之间,局部采样点为α-中污染.③PCA（主成分分析）结果表明,ρ（TN）、ρ（TP）和ρ（NH₄+-N）为南汉垸水体的主要污染因子.④RDA（冗余分析）结果表明,南汉垸浮游植物群落结构分布与pH、ρ（NH₄+-N）及ρ（TN）呈正相关,与WT（水温）呈负相关.研究显示,南汉垸水体介于轻污染与β-中污染之间,营养状态及浮游植物群落结构在时间上差异较大.      

鄂东鸭儿湖地区大气中有机氯农药特征及土-气交换

采用聚氨酯泡沫-被动采样法（PUF-PAS）采集鸭儿湖地区大气样,研究典型污染源地区大气中有机氯农药（OCPs）组成、来源及土-气交换现状。鸭儿湖地区大气中OCPs主要组成为艾氏剂（Aldrin）、滴滴涕（DDTs）、六六六（HCHs）、六氯苯（HCB）、甲氧滴滴涕（Methoxychlor）和a-硫丹（α-Endosulfan）,约占OCPs总量的84%。较高浓度Aldrin（平均浓度为161.25 pg/m³）广泛存在应引起高度重视。HCHs（平均浓度为89.64 pg/m³）和DDTs（平均浓度为92.29 pg/m³）普遍存在且含量高,污染程度比较明显。HCHs异构体中β-HCH高于α-HCH,远远高于γ-HCH和δ-HCH,说明HCHs经过长期降解已逐渐稳定下来;来源分析推测存在工业HCHs的使用或者受大气长距离传输影响。DDTs在各点位分布明显不同于HCHs,且各点位DDTs的六种组成均存在很大差别,可能由于点位地理位置以及农药使用情况导致;来源分析推测大气中DDTs主要来自历史残留。鸭儿湖地区OCPs土气交换研究表明,HCHs主要表现为从大气向土壤中沉降;DDTs在大多数点位源于土壤中历史残留的挥发,部分点位受到大气长距离传输影响。     

延平湖城区水环境石油类污染与控制

通过对延平湖城区水环境石油类污染的监测分析、评价，查找原因，并据此提出控制对策。     

Exploration of relationships between phytoplankton biomass and related environmental variables using multivariate statistic analysis in a eutrophic shallow lake:A 5-year study

Understanding the process of the changing phytoplankton patterns can be particularly useful in water quality improvement and management decisions.However,it is generally not easy to illustrate the interactions between phytoplankton biomass and related environmental variables given their high spatial and temporal heterogeneity.To elucidate relationships between them,in a eutrophic shallow lake,Taihu Lake,relative long-term data set of biotic and abiotic parameters of water quality in the lake were conducted using multivariate statistical analysis within seasonal periodicity.The results indicate that water temperature and total phosphorus(TP)played governing roles in phytoplankton dynamics in most seasons(i.e.temperature in winter,spring and summer; TP in spring,summer and autumn); COD(chemical oxygen demand)and BOD(biological oxygen demand)presented significant positive relationships with phytoplankton biomass in spring,summer and autumn.However,a complex interplay was found between phytoplankton biomass and nitrogen considering significant positive relationships occurring between them in spring and autumn,and conversely negative ones in summer.As the predatory factor,zooplankton presented significant grazing-pressure on phytoplankton biomass during summer in view of negative relationship between them in the season.Significant feedback effects of phytoplankton development were identified in summer and autumn in view that significant relationships were observed between phytoplankton biomass and pH,Trans(transparency of water)and DO.The results indicate that interactions between phytoplankton biomass and related environmental variables are highly sensitive to seasonal periodicity,which improves understanding of different roles of biotic and abiotic variables upon phytoplankton variability,and hence,advances management methods for eutrophic lakes.     

太湖水污染近期变动趋势及对策建议

太湖水污染是公众普遍关心的环境问题之一。根据近3年调查资料,对太湖水污染治理措施(工业污染源达标排放、城市污水处理厂的建设、畜禽和水产养殖污水的治理、河道清淤和引水工程、农业面源治理及禁用含磷洗涤剂等)、水质变动趋势及影响太湖水质变化的原因进行了分析,并提出了相应的对策建议,以期为太湖水污染的进一步治理提供科学依据。     

混凝法在滇池蓝藻暴发期净水除藻的可行性研究

采用精制硫酸铝为混凝剂,L93^4正交法安排滇池蓝藻暴发期混凝沉降除藻除净水工艺实验。结果表明,混凝剂种类、水样pH值对蓝藻去除率有很大影响。研究确定了混凝剂除藻最佳操作条件,为混凝法去除蓝藻的工业化提供了理论和实际操作依据。     

长荡湖水环境现状及控制措施

长荡湖为太湖流域一过水型、浅水草型湖泊 ,受过水水质和湖内水产业的过度开发 ,造成湖水质量逐年下降 ,湖水质量已处于Ⅴ类和富营养状态。针对存在的问题 ,提出了控制建议