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）．     

大气飘尘对大鼠肺细胞的毒性比较

采用大白鼠气管内注入飘尘后分析肺灌洗液的方法，比较了上海不同地区飘尘对大鼠肺细胞的毒性；再运用毒性指数及效应指数，综合评价了上海市不同地区大气飘尘污染的状况。研究表明：从肺灌洗液的生化成份分析及细胞分类显示，以彭浦新村、隆昌路平凉路、康定路胶州路３个点的飘尘毒性较大。综合评价结果，彭浦新村的效应指数最大，以后依次为康定路胶州路、鲁班路斜土路、青云路、隆昌路平凉路等。     

延河沉积物的石油污染调查与分析

对延河干流和两条支流受石油污染河段的沉积物的取样分析结果表明 ,研究河段内的沉积物都不同程度的受到了石油污染。干流河段沉积物的石油污染负荷一般为 40～ 80mg/kg ,上游河段和污染支流汇入段负荷较高 ,平均为390mg/kg,最高可达 784mg/kg ;支流上的坪桥川和杏子河河段沉积物污染负荷为 6 0～ 2 5 0mg/kg。干流中下游及杏子河支流河段的污染沉积物主要来源于雨期流域表层污染土壤径流入河后的沿程沉积 ,而非雨期岸边油井的直接排污则是造成干流上游和坪桥川支流沉积物石油污染的主要原因     

昆明呈贡新城环湖湿地设计思路探讨

呈贡新城环湖片区位于滇池东岸，目前主要以农田为主。呈贡新城环湖片区在《昆明市总体规划修编（2006-2020）》中将规划为城市生态湿地保护区。对呈贡新城环湖片区湿地建设的设计思路和预期效益进行了阐述和分析。     

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.     

水库中长期径流预报系统的开发研究

水库中长期径流预报系统采用PowerBuilder作为系统主要开发工具，集水情信息查询、检索、监视、预报与管理等功能于一体，实现了中长期水文预报和信息管理的各种功能要求。该系统具有功能全面，技术基础坚实，通用性和开放性强，自动化程度高，界面友好，全菜单操作等特点。     

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.