白洋淀水体、底泥及鲫鱼体内DDT、BHC污染状况研究

对白洋淀水体、底泥及鲫鱼肌肉中的ＤＤＴ及其衍生物和ＢＨＣ的残留量进行了测定研究，分别给出含量范围．研究表明，鱼体肌肉中ＢＨＣ的４种异构体的含量顺序（δ＞α＞γ＞β）与其在水和底泥中的含量顺序（α＞γ＞δ＞β）略有不同．鱼体肌肉中ＤＤＴ主要以代谢物Ｐ，Ｐ′ＤＤＥ形式存在．两种农药的污染具有明显的地域差异，位于府河入淀口及村庄附近的水体、底泥及鱼体肌肉中ＤＤＴ及其衍生物，ＢＨＣ含量较高，与１９７５—１９７７年检测结果相比，鲫鱼肌肉中ＤＤＴ及其衍生物残留量下降了５４２％，ＢＨＣ下降了８６９％．     

海水和海洋沉积物中总磷的测定

系统介绍了海水和海洋沉积物中总磷的测定方法，选用Ｋ２Ｓ２Ｏ８为氧化剂将有关形式的Ｐ转化成ＰＯ＾３－４，连同样品中原有的ＰＯ＾３－４－起用以抗坏到为还原剂的磷钼蓝法测定。方法的精密度６％，回收率为９１％－１０７％。     

底泥中酸性挥发硫及同步浸提金属的测定

同步浸提金属与酸性挥发硫的比值在判断底泥重金属生物毒性方面有重要意义．描述了一套测定底泥酸性挥发硫和同步浸提金属的仪器装置和分析程序．从气体流速、反应时间、酸浓度、硫含量等方面研究了酸性挥发硫测定的最适反应条件．在此条件下酸性挥发硫的测定回收率可达９０％以上．该方法的最低检出限为００２μｍｏｌ／ｇ（干泥）．     

~(134)Cs在水相生态系中的行为——~(134)Cs在水-萍-底泥中的消长与分配

~(134)Cs在水-萍-底泥系统中的消长遵循指数回归形式;萍能从水体中吸收~(134)Cs,并富集在其体内.萍种间的富集能力有差异,其中,小叶满江红>满江红>蕨状满江红>浮萍>卡州满江红,底泥对水体中的~(134)Cs有很强的吸附能力,从而减少萍对水体中Cs的吸收量;在适当的土水比下,底泥能有效地去除水体中的~(134)Cs;钾离子能抑制萍对~(134)Cs的吸收.     

灵庄港河道底泥化学组成及其环境影响初探

本文研究灵庄港待疏浚的底泥的养分特征及重金属污染物的化学组分,探讨该底泥处置方式及其可能带来的环境影响。结果表明：灵庄港疏浚底泥的养分含量高于河道两岸耕地耕作层土壤,底泥中重金属元素符合农用底泥污染物控制标准,可以直接投放到附近的农田以增加经济效益,节约处置费用。     

广州市河涌底泥污染现状调查与评价

2005年3～5月对广州市主要河涌底泥进行了较为系统的采样分析。分析评价结果表明，广州市河涌底泥受有机物、植物营养盐、石油类和重金属污染比较严重，其它污染物，如硫化物、氰化物、氟化物、挥发酚等以及难降解有毒有机物，包括DDT、666、PCBs、PAHs等污染并不严重，污染总体呈由老城区向外围逐步降低的态势。随后根据河涌底泥的主要污染特征进行了较为粗略的污染区划，并指出污染重点控制区域。     

底泥盐分释放对北塘水库水质成化的影响

为研究南水北调通水后,水源改变及水库调度对底泥盐分释放的影响,2005年7月,取0～60cm深度的北塘水库原状底泥样品,在实验室内模拟分析不同底泥含盐量、不同蓄水水质及水位变动和扰动条件下底泥氯化物释放规律。结果表明,底泥中Cl~-含量为0.043%,释放强度为0.12g/m~2·d,Cl~-含量越高,释放强度越大。在底泥含盐量相同的条件下,蓄去离子水的底泥Cl~-释放强度是蓄水库水的1.87倍。扰动状态下,底泥中的Cl~-有5.0%～9.5%释放出来,高于静止状态的3.2%～5.6%。水库运行水位发生变化,将影响底泥盐分的释放。1.0m水深条件下Cl~-的释放量是1.5m水深的5.8倍。水库四周地下水中Cl~-浓度为8.0×10~3～4.2×10~4mg/L,远高于目前水库水的Cl~-浓度。因此,一定要避免水库在低于设计低水位和周边地下水水位的条件下运行,防止底泥盐分释放及地下水反向补给造成水库水质的成化。     

重金属在淀山湖沉积物上的吸附研究

本文以淀山湖沉积物作为研究对象 ,研究了 Cu、Zn、Pb和 Cd在淀山湖沉积物上的等温吸附和沉积物对重金属吸附的影响因素。结果表明 ,重金属 Cu、Zn、Pb和 Cd在淀山湖沉积物上的等温吸附符合 L angmuir模型 ,淀山湖沉积物对重金属饱和吸附量的大小顺序为 Zn>Cu>Pb>Cd。淀山湖沉积物的组成对重金属吸附有较大的影响 ,其中沉积物中粘粒对 Cu、Zn、Pb和 Cd的吸附最强。沉积物中有机质对 4种重金属也有较强的吸附 ,特别对 Zn的吸附最强。碳酸盐对 Zn的吸附较弱 ,而对 Cu、Pb和 Cd有较强的吸附。 p H值对重金属吸附也有较大的影响 ,吸附量随着 p H值的升高而增大。温度对吸附的影响则较小     

SEDIMENT OXYGEN DEMAND IN THE ARROYO COLORADO RIVER1

ABSTRACT: The lower reaches of the Arroyo Colorado have historically failed to meet their use under subsection 303(b) of the U.S. Clean Water Act due to fecal coliform bacteria and low dissolved oxygen (DO). Fish kills, especially at the tidal confluence at the Port of Harlingen, Texas, have been reported. Oxygen demand from sediment (SOD) for a river typically has two states‐diffusion limited SOD (SOD) and potential SOD (pSOD), expressed when sediment is resuspended through increased flow or other disturbances. The objective of this research was to measure SOD in the Arroyo Colorado River in situ, estimate pSOD ex situ, and evaluate the relationship between SOD and the depositional environment. We measured SOD and pSOD in the Arroyo Colorado River at up to eight sites over three sampling events. We identified the sample sites based on a modified Rosgen geomorphic index for streambed stabilization. Sites with high sediment deposition potential had high SOD. The average values of SOD between sites were 0.62 g/m²/day (standard deviation 0.38 g/m²/day) and ranged from 0.13 to 1.2 g/m²/day. Potential SOD values ranged from as low as 19.2 to as high as 2,779 g/m³ sediment/ day. Potential SOD can serve as an indicator of the possible impact of SOD from resuspended sediment in stream systems.     

VEGETATION INFLUENCE ON SMALL STREAM SILTATION1

ABSTRACT: A meandering stream channel was simulated in the Hydraulics Laboratory at Colorado State University and a series of tests was conducted using four types of vegetation to evaluate the potential effects of vegetation on sediment deposition and retention in a stream channel. The data collected included average flow velocity, flow depth, length of vegetation, density of vegetation, cross-sectional area of the vegetative stem, wetted perimeter of the vegetative stem, and injection and flushing time. The findings indicated that the vegetation could retain from 30 to 70 percent of the deposited sediments. The ability of vegetation to entrap and retain sediment is related to the length and cross-sectional area of the vegetation. The variables describing the flow and the vegetative properties were combined to form a predictive parameter, the sedimentation factor (S_d) that can be compared with the amount of sediment entrapped by vegetation in a stream system. A relation was developed correlating vegetation length to sediment retention after flushing for flexibility and rigid vegetation.