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Modeling regional sulfate during the BRAVO study: Part 1. Base emissions simulation and performance evaluation

机译:在BRAVO研究中对区域硫酸盐进行建模:第1部分。基础排放模拟和性能评估

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The Regional Modeling System for Aerosols and Deposition (REMSAD) was employed to predict sulfate formation and transport in the Big Bend Regional Aerosol and Visibility Observational Study (BRAVO). Fine paniculate sulfate was the main component of haze measured at Big Bend National Park (BBNP) during the BRAVO field measurement campaign, which was conducted July-October 1999. Predicted sulfate was evaluated against measurements collected from BRAVO and CASTNet (Clean Air Speciation and Trends Network) monitors. During the four month study period, average observed and predicted sulfate concentrations at the 37 BRAVO sites were 3.1 and 3.3 μgm~(-3), respectively, and 4.5 and 5.0 μgm~(-3) at the 62 CASTNet sites, respectively. Spatial and temporal biases were clearly apparent. Underestimations of sulfate during July and August were evident throughout the BRAVO monitoring network (fractional biases of -0.60 and -0.44, respectively), corresponding to a period of increased atmospheric transport from Mexico to Texas. Biases in estimated sulfate in the vicinity of BBNP may be attributed to an overestimation of predicted precipitation rates during July and August. Positive biases within the BRAVO network were apparent in October (fractional bias = 0.39), when atmospheric transport from the eastern US was more prevalent. Overall performance statistics for sulfate predictions relative to the BRAVO and CASTNet sites were: correlation coefficient = 0.61 and 0.90, respectively; fractional error = 0.56 and 0.35, respectively; fractional bias = -0.10 and 0.04, respectively. This simulation provided the basis for a series of emission sensitivity simulations that were used to estimate a sulfate source apportionment for BBNP.
机译:在大弯区域气溶胶和能见度观测研究(BRAVO)中,使用了气溶胶和沉积物区域建模系统(REMSAD)来预测硫酸盐的形成和运输。细粉状硫酸盐是1999年7月至10月进行的BRAVO实地测量活动期间在大弯国家公园(BBNP)测得的雾度的主要成分。根据从BRAVO和CASTNet收集的测量结果评估了预测的硫酸盐(清洁空气形态和趋势)网络)监视器。在四个月的研究期内,在37个BRAVO站点上观测到的平均硫酸盐浓度和预测值分别为3.1和3.3μgm〜(-3),在62个CASTNet站点上分别为4.5和5.0μgm〜(-3)。时空偏差是显而易见的。在整个BRAVO监测网络中,7月和8月的硫酸盐低估很明显(分数偏差分别为-0.60和-0.44),这与从墨西哥到德克萨斯州的大气传输增加的时期相对应。 BBNP附近估计硫酸盐的偏差可能归因于对7月和8月期间预计降水率的高估。十月份,当来自美国东部的大气运输更为普遍时,BRAVO网络内的正偏差就很明显(分数偏差= 0.39)。相对于BRAVO和CASTNet站点,硫酸盐预测的总体性能统计分别是:相关系数分别为0.61和0.90;分数误差分别为0.56和0.35;小数偏差分别为-0.10和0.04。该模拟为一系列排放敏感性模拟提供了基础,这些模拟用于估算BBNP的硫酸盐来源分配。

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