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131.
为了评价胜利油田石油开采对水体中雌激素生态风险。首先,检测胜利油田区26个样品中盐度、总氮、总磷、余氯、COD、石油烃类物质含量6个常规水质指标,结果发现水体中总氮及COD的含量均值达到5.2mg/L及64mg/L,这表明该区域有机污染物及富营养化程度比较严重。其次,利用人雌激素受体基因酵母干粉法检测了样品中环境雌激素含量,结果分析发现不同采样点间的雌激素污染水平不同,雌激素含量与水质指标间无显著相关性。样品中雌激素含量范围0.046-0.072ng/L,均值为0.062ng/L,雌激素水平相对较低,这证实胜利油田水体存在环境雌激素生态风险值也较低。 相似文献
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水中无机阳离子混凝剂的电动检测特性研究 总被引:1,自引:0,他引:1
为了在本质特征上定量说明水中无机阳离子混凝剂浓度与胶体稳定性的关系,提出了一种新的研究混凝过程胶体电荷变化的本质参数-流动电流。研究了无机阳离子混凝剂的性质和家度与电动特性参数之间的一般规律及等电点特征,考察了以SC表征混凝剂对水中胶体颗粒物作用的特性与效能,从而提出了一种研究混凝和在线监测水中胶体电荷对于混凝剂投加量变化的有效方法。 相似文献
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Alan F. Hamlet Dennis P. Lettenmaier 《Journal of the American Water Resources Association》1999,35(6):1597-1623
ABSTRACT: As part of the National Assessment of Climate Change, the implications of future climate predictions derived from four global climate models (GCMs) were used to evaluate possible future changes to Pacific Northwest climate, the surface water response of the Columbia River basin, and the ability of the Columbia River reservoir system to meet regional water resources objectives. Two representative GCM simulations from the Hadley Centre (HC) and Max Planck Institute (MPI) were selected from a group of GCM simulations made available via the National Assessment for climate change. From these simulations, quasi-stationary, decadal mean temperature and precipitation changes were used to perturb historical records of precipitation and temperature data to create inferred conditions for 2025, 2045, and 2095. These perturbed records, which represent future climate in the experiments, were used to drive a macro-scale hydrology model of the Columbia River at 1/8 degree resolution. The altered streamflows simulated for each scenario were, in turn, used to drive a reservoir model, from which the ability of the system to meet water resources objectives was determined relative to a simulated hydrologic base case (current climate). Although the two GCM simulations showed somewhat different seasonal patterns for temperature change, in general the simulations show reasonably consistent basin average increases in temperature of about 1.8–2.1°C for 2025, and about 2.3–2.9°C for 2045. The HC simulations predict an annual average temperature increase of about 4.5°C for 2095. Changes in basin averaged winter precipitation range from -1 percent to + 20 percent for the HC and MPI scenarios, and summer precipitation is also variously affected. These changes in climate result in significant increases in winter runoff volumes due to increased winter precipitation and warmer winter temperatures, with resulting reductions in snowpack. Average March 1 basin average snow water equivalents are 75 to 85 percent of the base case for 2025, and 55 to 65 percent of the base case by 2045. By 2045 the reduced snowpack and earlier snow melt, coupled with higher evapotranspiration in early summer, would lead to earlier spring peak flows and reduced runoff volumes from April-September ranging from about 75 percent to 90 percent of the base case. Annual runoff volumes range from 85 percent to 110 percent of the base case in the simulations for 2045. These changes in streamflow create increased competition for water during the spring, summer, and early fall between non-firm energy production, irrigation, instream flow, and recreation. Flood control effectiveness is moderately reduced for most of the scenarios examined, and desirable navigation conditions on the Snake are generally enhanced or unchanged. Current levels of winter-dominated firm energy production are only significantly impacted for the MPI 2045 simulations. 相似文献
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在火灾事件监测中,为了减少数据处理量、加快探测速度,需要先分割出疑似烟雾区域。传统的烟雾分割算法大多需要设置阈值进行处理,算法的环境适应能力还需进一步提升。在研究中,使用U-Net结构的深度神经网络进行早期火灾烟雾的自动分割,通过半自动算法人工辅助分割出烟雾区域的图像样本,基于深度神经网络对分割烟雾区域进行学习,得到原始视频帧到分割结果的映射模型,并据此模型进行烟雾区域分割。在测试集上的分割实验结果表明该方法与传统方法相比,不需要设置阈值,自动化程度更高,分割速度极快,在疑似烟雾区域分割任务中性能较好。 相似文献