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621.
622.
Kyoung Jae Lim Bernard A. Engel Zhenxu Tang Joongdae Choi Ki‐Sung Kim Suresh Muthukrishnan Dibyajyoti Tripathy 《Journal of the American Water Resources Association》2005,41(6):1407-1416
The separation of the base flow component from a varying streamflow hydrograph is called “hydrograph analysis.” In this study, two digital filter based separation modules, the BFLOW and Eckhardt filters, were incorporated into the Web based Hydrograph Analysis Tool (WHAT) system. A statistical component was also developed to provide fundamental information for flow frequency analysis and time series analysis. The Web Geographic Information System (GIS) version of the WHAT system accesses and uses U.S. Geological Survey (USGS) daily streamflow data from the USGS web server. The results from the Eckhardt filter method were compared with the results from the BFLOW filter method that was previously validated, since measured base flow data were not available for this study. Following validation, the two digital filter methods in the WHAT system were run for 50 Indiana gaging stations. The Nash‐Sutcliffe coefficient values comparing the results of the two digital filter methods were over 0.91 for all 50 gaging stations, suggesting the filtered base flow using the Eckhardt filter method will typically match measured base flow. Manual separation of base flow from streamflow can lead to inconsistency in the results, while the WHAT system provides consistent results in less than a minute. Although base flow separation algorithms in the WHAT system cannot consider reservoir release and snowmelt that can affect stream hydrographs, the Web based WHAT system provides an efficient tool for hydrologic model calibration and validation. The base flow information from the WHAT system can also play an important role for sustainable ground water and surface water exploitation, including irrigation and industrial uses, and estimation of pollutant loading from both base flow and direct runoff. Thus, best management practices can be appropriately applied to reduce and intercept pollutant leaching if base flow contributes significant amounts of pollutants to the stream. This Web GIS based system also demonstrates how remote, distributed resources can be shared through the Internet using Web programming. 相似文献
623.
本文自制悬浮物过滤器,并提出了一种简便的悬浮物标准样品的制备方法。地表水滤液的吸光度值表明,自制悬浮物过滤器藏留悬浮物效果令人满意。该法加标回收率为95.4%~106.8%,检出限为3.2mg/L。尤其适合于强酸、强碱和强氧化性废水中悬浮物的测定。 相似文献
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在实验的基础上选用塔滤吹脱——接触氧化工艺处理化肥厂氨氨废水,使出水浓度低于10mg/l;井提出实验室最佳运行参数及工艺流程;采用空气预热的方法较好地解决了严寒地区结冰期吹脱塔运行的问题,通过控制 pH 值和选用塑料条板填料克服了塔内结垢的弊端。 相似文献
627.
信息网络的安全已成为目前企业至关重要的问题,防火墙技术是保护企业信息安全中最基本、最成熟的一种.本文简要介绍了防火墙的主要技术、防火墙体系结构,并对防火墙的选择方案提出了建议. 相似文献
628.
简要介绍了在水中矿物油的测定过程中,无水硫酸钠铺垫厚度对石油醚萃取液脱水过滤速度及水样测定结果的影响,得出了水样污染越重,石油醚萃取液中含的水份越多,无水硫酸钠铺垫厚度应适当加厚,但测定结果仍满足环境监测要求的结论。 相似文献
629.
M. Kashif Gill Mariush W. Kemblowski Mac McKee 《Journal of the American Water Resources Association》2007,43(4):1004-1015
Abstract: A hybrid data assimilation (DA) methodology that combines two state‐of‐the‐art techniques, support vector machines (SVMs) and ensemble Kalman filter (EnKF), is applied for soil moisture DA in this work. The SVM methodology provides a statistically sound and robust approach to solving the inverse problem, and thus to building statistical models. EnKF is an extension of the Kalman Filter (KF), a well‐known tool in prediction updating. In the present research, ground measurements were used to build a SVM‐type soil moisture predictor. Subsequent observations and their statistics were assimilated to update predictions from the SVM model by coupling it with EnKF. In this way, both model predictions and ground data, as well as their statistics, are fused thus minimizing the prediction error and making the predictions and observations statistically consistent. The results are shown for two approaches; one in which update is done at every time step and the other which assumes that data is only available at alternate time steps (in window of 10 time steps) and hence update is performed at those occasions. The SVM‐EnKF coupling is shown to improve soil moisture forecasts in an example using data from the Soil Climate Analysis Network site at Ames, Iowa. 相似文献
630.
悬浮填料滤池固液分离新技术的中试试验研究 总被引:1,自引:0,他引:1
本文提出了采用悬浮填料滤池对活性污泥混合液进行固液分离的新技术。该技术所采用的悬浮填料滤池可直接设置在生化反应池末端,取消原工艺中的二沉池。中试试验对悬浮填料滤池的固液分离效果,滤池的运行周期及冲洗方法进行了研究。试验证明,悬浮填料滤池运行稳定,在进水表面负荷高达2.0~3.0 m3/m2.h的情况下出水SS达到城镇污水处理厂污染物二级排放标准(GB18918-2002),工作周期可达到5天以上。悬浮填料滤池可采用曝气方法进行冲洗,操作管理简单,冲洗效果良好,便于实现自动化运行。 相似文献