大宝山矿区水体中重金属的行为研究

广东大宝山矿区矿山废水的排放使周边生态环境遭受了严重的破坏。水体中重金属Cu、Zn、Cd和Pb的溶解态浓度分别达到13.82、50.83、0.103和2.91 mg.L-1。Cu、Zn、Cd和Pb的溶解态和悬浮态含量沿河流主干道断面呈相似的空间分布规律,上游都是沿水流方向降低,下游因吸附于悬浮物中的重金属重新释放略有增加。悬浮物中重金属元素的化学形态提取和扫描电镜能谱分析(SEM/EDAX)表明:4种重金属元素都以残渣态为主要存在形态,其次为可还原态,个别断面的Cd可还原态甚至超过了残渣态的含量,说明该水体这4种元素对环境都有一定的潜在威胁性。     

淀山湖沉水植物死亡分解过程中营养物质的释放

测定了上海淀山湖5种常见沉水植物的营养成分含量及其死亡后在好氧(DO>3.5 mg/L)或低氧(DO<3.5 mg/L)状态下分解释放TN、TP和有机物(以高锰酸盐指数计,下同)等营养物质的动态过程,并对营养物质释放强度与营养成分含量的相关性进行了分析.结果表明, 5种沉水植物中,金鱼藻的TN和TP含量最高,质量分数分别为(4.07±0.22)%和(0.99±0.09)%;好氧状态下TN和有机物的释放强度大于低氧状态,两种状态下TP的释放强度没有显著差异;TP的释放比TN快,一般需10 d左右,而TN和有机物的释放分别需要29 d和20 d左右;在好氧状态下,NO-2-N、NO-3-N和可溶性总磷酸盐的平均释放强度与植物TN含量呈显著正相关(p<0.05),NH 4-N的平均释放强度与植物TP含量呈显著正相关(p<0.05);在低氧状态下,NO-2-N的平均释放强度与植物TN含量、NO-3-N的平均释放强度与植物TP含量分别呈显著正相关(p<0.05);有机物的平均释放强度与植物TP含量呈极显著负相关(p<0.01).     

Desorption of arsenic from drinking water distribution system solids

Previous work has shown that arsenic can accumulate in drinking water distribution system (DWDS) solids (Lytle et~al., 2004) when arsenic is present in the water. The release of arsenic back into the water through particulate transport and/or chemical release (e.g. desorption, dissolution) could result in elevated arsenic levels at the consumers' tap. The primary objective of this work was to examine the impact of pH and orthophosphate on the chemical release (i.e. desorption) of arsenic from nine DWDS solids collected from utilities located in the Midwest. Arsenic release comparisons were based on the examination of arsenic and other water quality parameters in leach water after contact with the solids over the course of 168~hours. Results showed that arsenic was released from solids and suggested that arsenic release was a result of desorption rather than dissolution. Arsenic release generally increased with increasing initial arsenic concentration in the solid and increasing pH levels (in the test range of 7 to 9). Finally, orthophosphate (3 and 5 mg PO₄/L) increased arsenic release at all pH values examined. Based on the study results, utilities with measurable levels of arsenic present in their water should be aware that some water quality changes can cause arsenic release in the DWDS potentially resulting in elevated levels at the consumer's tap.     

Temporal and Spatial Trends in Nutrient and Sediment Loading to Lake Tahoe,California‐Nevada,USA

Since 1980, the Lake Tahoe Interagency Monitoring Program (LTIMP) has provided stream‐discharge and water quality data—nitrogen (N), phosphorus (P), and suspended sediment—at more than 20 stations in Lake Tahoe Basin streams. To characterize the temporal and spatial patterns in nutrient and sediment loading to the lake, and improve the usefulness of the program and the existing database, we have (1) identified and corrected for sources of bias in the water quality database; (2) generated synthetic datasets for sediments and nutrients, and resampled to compare the accuracy and precision of different load calculation models; (3) using the best models, recalculated total annual loads over the period of record; (4) regressed total loads against total annual and annual maximum daily discharge, and tested for time trends in the residuals; (5) compared loads for different forms of N and P; and (6) tested constituent loads against land use‐land cover (LULC) variables using multiple regression. The results show (1) N and P loads are dominated by organic N and particulate P; (2) there are significant long‐term downward trends in some constituent loads of some streams; and (3) anthropogenic impervious surface is the most important LULC variable influencing water quality in basin streams. Many of our recommendations for changes in water quality monitoring and load calculation methods have been adopted by the LTIMP.     

Boosted Regression Tree Models to Explain Watershed Nutrient Concentrations and Biological Condition

Boosted regression tree (BRT) models were developed to quantify the nonlinear relationships between landscape variables and nutrient concentrations in a mesoscale mixed land cover watershed during base‐flow conditions. Factors that affect instream biological components, based on the Index of Biotic Integrity (IBI), were also analyzed. Seasonal BRT models at two spatial scales (watershed and riparian buffered area [RBA]) for nitrite‐nitrate (NO₂‐NO₃), total Kjeldahl nitrogen, and total phosphorus (TP) and annual models for the IBI score were developed. Two primary factors — location within the watershed (i.e., geographic position, stream order, and distance to a downstream confluence) and percentage of urban land cover (both scales) — emerged as important predictor variables. Latitude and longitude interacted with other factors to explain the variability in summer NO₂‐NO₃ concentrations and IBI scores. BRT results also suggested that location might be associated with indicators of sources (e.g., land cover), runoff potential (e.g., soil and topographic factors), and processes not easily represented by spatial data indicators. Runoff indicators (e.g., Hydrological Soil Group D and Topographic Wetness Indices) explained a substantial portion of the variability in nutrient concentrations as did point sources for TP in the summer months. The results from our BRT approach can help prioritize areas for nutrient management in mixed‐use and heavily impacted watersheds.     

Linking Nitrogen Export to Landscape Heterogeneity: The Role of Infrastructure and Storm Flows in a Mediterranean Urban System

Urban ecosystems are often sources of nonpoint source (NPS) nitrogen (N) pollution to aquatic ecosystems. However, N export from urban watersheds is highly variable. Examples of densely urbanized watersheds are not well studied, and these may have comparatively low export rates. Commonly used metrics of landscape heterogeneity may obscure our ability to discern relationships among landscape characteristics that can explain these lower export rates. We expected that differences not often captured by these metrics in the relative cover of vegetation, structures, and impervious surfaces would better explain observed variation in N export. We examined these relationships during storms in residential watersheds. Contrary to expectations, land cover did not directly predict variation in N or water export. Instead, N export was strongly linked to drainage infrastructure density. Our research highlights the role of fine‐scaled landscape attributes, mainly infrastructure, in explaining patterns of N export from densely urbanized watersheds. Changes to hydrologic flow paths by infrastructure explained more variation in N export than land cover. Our findings support further development of landscape ecological models of urban N export that focus on hydrologic modification by infrastructure rather than traditional landscape measures such as land use, as indicators for evaluating patterns of NPS nitrogen pollution in densely urbanized watersheds.     

Emerging Tools for Continuous Nutrient Monitoring Networks: Sensors Advancing Science and Water Resources Protection

Sensors and enabling technologies are becoming increasingly important tools for water quality monitoring and associated water resource management decisions. In particular, nutrient sensors are of interest because of the well‐known adverse effects of nutrient enrichment on coastal hypoxia, harmful algal blooms, and impacts to human health. Accurate and timely information on nutrient concentrations and loads is integral to strategies designed to minimize risk to humans and manage the underlying drivers of water quality impairment. Using nitrate sensors as the primary example, we highlight the types of applications in freshwater and coastal environments that are likely to benefit from continuous, real‐time nutrient data. The concurrent emergence of new tools to integrate, manage, and share large datasets is critical to the successful use of nutrient sensors and has made it possible for the field of continuous monitoring to rapidly move forward. We highlight several near‐term opportunities for federal agencies, as well as the broader scientific and management community, that will help accelerate sensor development, build and leverage sites within a national network, and develop open data standards and data management protocols that are key to realizing the benefits of a large‐scale, integrated monitoring network. Investing in these opportunities will provide new information to guide management and policies designed to protect and restore our nation's water resources.     

过硫酸盐缓释材料释放过程模型构建

为预测评估过硫酸盐缓释材料的释放性能,对释放过程模型的构建以及模型的验证进行了研究。借助微积分思想,从材料体的概化分割、初始条件设定、每个小单元的状态标定、各个小单元中过硫酸钾的迁移变化量以及材料最外层释放过硫酸盐的量5个方面构建过硫酸盐缓释材料释放模型,利用Excel-VBA编程实现其释放过程模拟。采用欧盟标准NEN7375测试过硫酸盐缓释材料释放性能并获得模型参数。通过输入相关模型参数得到过硫酸盐动态迁移过程及其释放特征曲线,并利用实测数据与模拟数据进行拟合校验。结果表明,模型模拟值与实测值拟合较好,平均误差为1.88%,表明该模型设计合理,能够准确模拟过硫酸盐缓释材料释放过程,可作为缓释材料优化设计工具。     

湖泊沉积物中磷化氢的释放动力学初探

采用柱状芯样模拟法,研究了太湖沉积物-水界面磷化氢的释放动力学.结果表明:当沉积物-水界面磷化氢的释放达到动态平衡时,水界面中磷化氢的浓度基本不再增大,大约在0.34 pg·l-1左右,此时磷化氢的释放通量约为0.008 pg·dm-2·h-1.根据室内模拟结果,太湖沉积物每年的磷化氢释放量在13.81-49.62 g之间,从而使磷化氢在湖水中的平均浓度达到0.16 pmol·l-1.     

水源更换对给水管网水质的影响研究

为了研究水源更换对给水管网水质的影响,对北方A市水源更换过程中管网水质理化指标进行了监测分析.通过33 h的监测发现,由于水源水质不同造成管网水质化学不稳定,管网水水质部分指标发生了明显的下降,pH从7.54降到7.18,碱度从188　mg·L^-1降到117 　mg·L^-1,氯化物从310 　mg·L^-1降到132 　mg·L^-1（以Cl^-计）,电导率从0.176　S·m^-1降到0.087 　S·m^-1,钙离子和镁离子略有下降分别为15 　mg·L^-1和11 　mg·L^-1,这些都是由于滦河水质与黄河水质不同造成的;余氯在换水过程中发生了较复杂的变化,主要是由于水源更换造成耗氯量增加以及夜间用水量少造成管网水输配时间长引起的;pH、碱度、余氯的变化使得管网水中铁的含量增加,最高达到0.4 　mg·L^-1,超出饮用水标准规定的0.3 　mg·L^-1.通过分析水源更换过程中水质的变化,提出了控制管网水质稳定的方法主要有提高pH、增加碱度、投加缓蚀剂和严格保证出厂水及管网水水质指标特别是余氯等.