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Development of a comprehensive watershed model to assess the impact of atmospheric deposition of mercury on surface water.

机译:开发了一个综合分水岭模型,以评估大气中汞沉积对地表水的影响。

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Hundreds of streams, lakes, and estuaries are considered impaired due to increased mercury concentrations. Exposure to high levels of mercury can cause serious health hazards including nervous system damage, kidney damage, and neurological developmental abnormalities. Mercury in the form of methylmercury is of greatest concern because it bioaccumulates in predatory species of the aquatic food chain, and the common route of exposure is ingestion. This research focuses on developing a comprehensive watershed model that fills this gap by utilizing the outcome of recent studies and advancement in modeling tools.; The most important source of mercury in watershed environment is the atmospheric deposition, which varies significantly in space and time. Mercury forms various complexes in water and exists in particulate and dissolved phases. Methylmercury, the pollutant of most concern, forms through biodegradation of dissolved mercury complexes. Biodegradation and adsorption/desorption characteristics of mercury complexes are expected to vary depending on ambient conditions and concentrations of other water quality constituents. Therefore, the capability of modeling mercury complexes under varying environmental conditions is essential for accurately simulating the fate and transport of mercury in surface water. A speciation algorithm was developed and integrated with an existing watershed model—the Hydrologic Simulation Program Fortran (HSPF), to develop a comprehensive mercury model. HSPF is a continuous and public domain model capable of simulating many processes involving fate and transport of pollutants. Further enhancement of HSPF by adding a speciation submodel makes the model more suitable for modeling mercury and methylmercury in surface water.; The model was applied to the Sheboygan River watershed in Wisconsin to demonstrate the applicability of the model and prove the importance of speciation modeling. The average modeled partition coefficients for mercury and methylmercury were 160,000 L/kg and 215,000 L/kg, respectively. The mercury biodegradation rate was 1.0 day-1. For the observed ranges of pH and chloride concentrations in the Sheboygan River HgCl4−2, HgCl 3 and HgCl2 were the three most important complexes of mercury. On the average 81%, 17% and 2% of total mercury were HgCl4−2, HgCl3 and HgCl2, respectively, for an average chloride concentration of 10−3 M and an average pH of 8.2.
机译:由于汞浓度增加,数百条河流,湖泊和河口被认为受到了损害。暴露于高含量的汞会导致严重的健康危害,包括神经系统损害,肾脏损害和神经系统发育异常。甲基汞形式的汞是最受关注的,因为它在水生食物链的掠食性物种中生物富集,并且常见的接触途径是摄入。这项研究的重点是通过利用最新研究的成果和建模工具的发展来开发一个填补这一空白的综合分水岭模型。流域环境中最重要的汞来源是大气沉积,其时空变化很大。汞在水中形成各种络合物,并以颗粒相和溶解相形式存在。甲基汞是最受关注的污染物,是通过溶解的汞配合物的生物降解而形成的。预期汞配合物的生物降解和吸附/解吸特性将根据环境条件和其他水质成分的浓度而变化。因此,在各种环境条件下对汞络合物进行建模的能力对于准确模拟地表水中汞的结局和传输至关重要。开发了一种物种形成算法,并将其与现有的分水岭模型— Fortran水文模拟程序(HSPF)集成在一起,以开发综合的汞模型。 HSPF是一个连续的公共领域模型,能够模拟涉及命运和污染物运输的许多过程。通过添加形态子模型进一步增强HSPF,使得该模型更适合于模拟地表水中的汞和甲基汞。该模型被应用于威斯康星州的希伯根河流域,以证明该模型的适用性并证明物种形成模型的重要性。汞和甲基汞的平均建模分配系数分别为160,000 L / kg和215,000 L / kg。汞的生物降解速率为1.0天-1。对于Sheboygan河中HgCl 4 -2 ,HgCl 3 -和pH值的观测范围HgCl 2 是汞的三个最重要的配合物。 HgCl 4 -2 ,HgCl 3 -平均占汞总量的81%,17%和2% >和HgCl 2 的平均氯化物浓度分别为10 -3 M和平均pH值为8.2。

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