Application of statistical modeling to optimize a coastal water quality monitoring program

The long-term water quality monitoring program implemented by the Massachusetts Water Resources Authority in 1992 is extensive and has provide substantial understanding of the seasonality of the waters in both Boston Harbor and Massachusetts Bay and the response to improvements in effluent quality and offshore transfer of the effluent in September 2000. The monitoring program was designed with limited knowledge of spatial and temporal variability and long-term trends within the system. This led to an extensive spatial and temporal sampling program. The data through 2003 showed high correlation within physical parameters measured (e.g., salinity, dissolved oxygen) and in biological measures such as chlorophyll fluorescence. To address the potential sampling redundancies in the measurement program, an assessment of the impact of reduced levels of monitoring on the ability to make water quality decisions was completed. The optimization was conducted by applying statistical models that took into account whether there was evidence of a seasonal pattern in the data. The optimization used model survey average readings to identify temporal fixed effects, model survey-average-corrected individual station readings to identify spatial fixed effects, corrected the individual station readings for temporal and spatial fixed effects and derived a correlation model for the corrected data, and applied the correlation model to characterize the correlation of annual average readings from reduced monitoring programs with true parameter levels. Reductions in the number of sampling stations were found less detrimental to the quality of the data for annual decision-making than reductions in the number of surveys per year, although there is less of a difference in this regard for dissolved oxygen than there is for chlorophyll. The analysis led to recommendations for a substantially lower monitoring effort with minimal loss of information. The recommendation supported an annual budget savings of approximately $183,000. Most of the savings was from fewer surveys as approximately $21,000 came from the reduction in the number of stations monitored from 21 to 7 and associated laboratory analytical costs.     

Concentration of heavy metals in Karanja reservoir, Bidar district, Karnataka, India

In this study, some heavy metals concentrations (Zn, Pb, Fe, Mn, Cu, Ni) and other physico-chemical parameters were studied during October 2001 to September 2003 in Karanja reservoir, Bidar district. Water quality parameters were collected monthly basis whereas heavy metals were analyzed by Atomic Adsorption Spectrometer (AAS). Heavy metals have shown within the permissible limits, except Fe and Ni were recorded higher values in southwest monsoon, where as Mn has showed higher concentration in northeast monsoon in and summer. All other physico-chemical parameters are with in the permissible limit. Water is moderately hard and reservoir is productive.     

An evaluation of selenium concentrations in water, sediment, invertebrates, and fish from the Solomon River Basin

The Solomon River Basin is located in north-central Kansas in an area underlain by marine geologic shales. Selenium is an indigenous constituent of these shales and is readily leached into the surrounding groundwater. Portions of the Basin are irrigated primarily through the pumping of selenium-contaminated groundwater from wells onto fields in agricultural production. Water, sediment, macroinvertebrates, and fish were collected from various sites in the Basin in 1998 and analyzed for selenium. Selenium concentrations were analyzed spatially and temporally and compared to reported selenium toxic effect thresholds for specific ecosystem components: water, sediments, food-chain organisms, and wholebody fish. A selenium aquatic hazard assessment for the Basin was determined based on protocol established by Lemly. Throughout the Basin, water, macroinvertebrate, and whole fish samples exceeded levels suspected of causing reproductive impairment in fish. Population structures of several fish species implied that successful reproduction was occurring; however, the influence of immigration of fish from low-selenium habitats could not be discounted. Site-specific fish reproduction studies are needed to determine the true impact of selenium on fishery resources in the Basin. The U.S. Government’s right to retain a non-exclusive, royalty free license in and to any copyright is acknowledged.     

大体积进样-气相色谱法测定水中多种痕量有机磷农药

建立了大体积进样气相色谱-火焰光度法检测水中多种痕量有机磷农药的方法.重点研究了程序升温汽化(PTV)进样条件的选择,通过对分流排空量、吹扫时间、PIV起始温度等PTV参数的选择,优化了测试条件,提高了检测灵敏度.水中9种有机磷农药的线性良好,10ml水样中三乙基偶磷硫酯的检出限为0.01μg/L,硫磷嗪、致螟磷、甲拌磷、乐果、乙拌磷、甲基对硫磷、对硫磷和氨磺磷的检出限可达0.001μg/L.水中添加多种有机磷农药准确度精密度试验,平均回收率为85.8%～108%,相对标准差在3.3%～11.4%之间.与常规方法相比,该方法前处理简单快速、分析成本低.灵敏度、准确度和精密度均符合地表水检测质量的要求,适用于水环境中多种农药残留的快速检测.     

水体中泥沙对藻类光谱特征位置的影响分析

自然水体叶绿素a浓度的遥感反演中,泥沙的存在影响着反演精度.如何消除这种影响是提高叶绿素a遥感反演精度的关键,而了解泥沙对藻类光谱特征的影响是消除影响的前提.文章在人工控制条件下获取了不同泥沙浓度下藻类光谱曲线,通过分析光谱曲线特征位置的漂移和数值变化,总结泥沙对藻类光谱的影响并提出了消除影响的可能性.     

固城湖春季水环境因子空间变异及其原因探讨

在现场采样数据的基础上,运用Arc GIS的地统计学组件分析了固城湖春季水环境因子空间变异规律,并从污粢源分布、水生植物密度差异方面探讨了水环境因子空间变异产生的原因.结果表明:(1)变异函教选择球状模型和高斯模型拟合水环境因子的变差曲线,从预测误差判断,拟合效果很好,因此,固城湖水环境因子的空同分布图比较真实地反映了固城湖水环境现状;(2)固城湖TN、NH4+-N基本上呈现从南到北逐渐升高的趋势,TN、NH4+-N、SD的空间变异主要是由人类活动引起,水革对TN、NH4+-N的吸收作用、SD的改善作用不明显;(3)太湖区TP基本上呈现从中西部向东逐渐升高的趋势,与大湖区水草密度的变化趋势相反;水革密度越大(大湖中南部)pH越高,而水草密度越小(航道、湖东部)pH越小;(4)中南部湖区围罔的全部拆除、港口河上游生活污水减少,都使得中南部湖区水质得到改善.     

广州大学城珠江水域多环芳烃的污染特征

利用GC-MS对广州大学城珠江水域的地表水及表层沉积物中多环芳烃(PAHs)的含量进行了分析。结果表明,广州大学城珠江水域及表层沉积物中均可检出PAHs,水体优控PAHs总量在1061.7~6577.8ng/L之间,沉积物中优控PAHs总量分布在896.1~7248ng/g之间。广州大学城珠江水域的PAHs属混合来源,主要有石油类产品的输入(漏油泄油)和化石燃料的燃烧(大气沉降)。     

石墨炉原子吸收法快速测定水中的四乙基铅

用三氯甲烷萃取水中的四乙基铅,直接上石墨炉原子吸收仪进行测定。结果表明,方法相对标准偏差为5.9%,平均回收率在90.4%~108%之间,检出限为1.3×10-5mg/L。准确度高,精密度好。     

浊点萃取分离富集荧光光度法测定水中α - 萘酚

基于非离子表面活性剂Triton X-114,采用浊点萃取分离富集荧光光度法测定水中α-萘酚,优化了影响浊点萃取的各种因素,包括样品酸度、表面活性剂体积分数、氢氧化钠溶液浓度、平衡温度和时间等,讨论了常见无机离子和可能共存的有机物的干扰。方法在0.010 mg/L～0.400 mg/L范围内线性良好,检出限为3.0μg/L,标准溶液测定的RSD为4.8%,水样加标回收率为94.3%～103%。     

水质生物毒性在线监测技术研究进展

从生物分子、细胞、个体、种群和群落水平,系统介绍了国内外研发的水质毒性在线监测技术,归纳分析了各种技术的特点及应用,并提出了其发展前景与趋势。