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221.
This study presents the chemical composition of dry deposition by using dry deposition plate and water surfaces sampler during daytime and nighttime sampling periods at a near highway traffic sampling site. In addition, the characterization for mass and water soluble species of total suspended particulate (TSP), PM2.5 and PM10 were also studied at this sampling site during August 22 to October 31 of 2006 around central Taiwan. The samples collected were analyzed by using Ion Chromatography (DIONEX 100) for the ionic species analysis. Results of the particulate dry deposition fluxes are higher in the water surfaces sampler than that of the dry deposition plate. In other words, the results also indicated that water surface can absorb more ambient dry deposition inorganic pollutants than that of dry deposition plate in this study. The results obtained in this study indicated that the ionic species of Cl(-), NO3(-) and SO4(2-) occupied about average 60-70% downward flux out of total ionic species for either dry deposition plate or water surfaces sampler during August to October of 2006 at this near highway traffic sampling site. 相似文献
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Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China 总被引:2,自引:0,他引:2
Xiaohu Wen Jing Fang Meina Diao Chuanqi Zhang 《Environmental monitoring and assessment》2013,185(5):4361-4371
Identification and quantification of dissolved oxygen (DO) profiles of river is one of the primary concerns for water resources managers. In this research, an artificial neural network (ANN) was developed to simulate the DO concentrations in the Heihe River, Northwestern China. A three-layer back-propagation ANN was used with the Bayesian regularization training algorithm. The input variables of the neural network were pH, electrical conductivity, chloride (Cl?), calcium (Ca2+), total alkalinity, total hardness, nitrate nitrogen (NO3-N), and ammonical nitrogen (NH4-N). The ANN structure with 14 hidden neurons obtained the best selection. By making comparison between the results of the ANN model and the measured data on the basis of correlation coefficient (r) and root mean square error (RMSE), a good model-fitting DO values indicated the effectiveness of neural network model. It is found that the coefficient of correlation (r) values for the training, validation, and test sets were 0.9654, 0.9841, and 0.9680, respectively, and the respective values of RMSE for the training, validation, and test sets were 0.4272, 0.3667, and 0.4570, respectively. Sensitivity analysis was used to determine the influence of input variables on the dependent variable. The most effective inputs were determined as pH, NO3-N, NH4-N, and Ca2+. Cl? was found to be least effective variables on the proposed model. The identified ANN model can be used to simulate the water quality parameters. 相似文献
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上海市臭氧污染时空分布及影响因素 总被引:1,自引:0,他引:1
分析2006—2016年上海市的监测数据发现,臭氧(O_3)浓度存在逐年上升趋势,污染持续时间有所增加,但除水平风速有下降趋势外,其他相关气象因素的年际变化趋势并不显著。空间分析结果表明,上海市O_3超标主要集中在西南部郊区,但市区O_3超标潜势不容忽视。O_3污染高发季节的污染玫瑰图分析发现,上海市南部地区是影响上海市O_3污染的关键区域;对于NO_2减排的影响分析发现,尽管上海市O_3平均浓度总体处于上升趋势,但在NO_2下降幅度最为明显的内环市区和北部郊区,O_3上升幅度低于NO_2下降幅度较小的内外环区域和西部郊区,表明上海市的O_3污染控制仍需持续推进NOx的减排,并同步推进VOCs的减排。 相似文献
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通过微波消解法、标准测试方法(SMT)和碱熔法分别测定了水系沉积物成分分析标准物质GBW07307a(GSD-7a)中的总磷(TP)含量,并分别采用3种方法对采集于黄河流域甘宁蒙段表层沉积物样品进行TP含量和样品加标回收率的测定。结果表明:测定标准物质的相对误差绝对值:微波消解法碱熔法SMT法;变异系数:微波消解法碱熔法SMT法。同时,微波消解法提取的表层沉积物TP含量的范围为634.3~909.2μg/g;SMT法TP含量的范围为627.1~889.5μg/g;碱熔法TP含量的范围为559.1~784.8μg/g。微波消解法的测定结果相对偏高,SMT法的测定结果相对偏低。样品加标回收率平均值:微波消解法SMT法碱熔法;变异系数:微波消解法碱熔法SMT法。综合测定标准物质中TP含量以及样品加标回收率实验结果的准确度和精密度,对于黄河甘宁蒙段表层沉积物,使用SMT法提取TP较优于微波消解法和碱熔法。 相似文献
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紫外光度法测定地表水中石油类的油标选择 总被引:1,自引:0,他引:1
金芳 《环境监测管理与技术》2000,12(1):31-32
精选了一种新油标。采用这种油标,可使紫外分光光度法测地表水中石油类的令人满意,省工省时。 相似文献