Evaluation of Data Replacement Strategies for CASTNET Dry Deposition Modeling

作     者：Christopher Rogers Thomas Lavery Kevin Mishoe Ralph Baumgardner 

作者机构：AMEC Environment & Infrastructure Inc. Jacksonville FL 32207 USA Fuss & O 'Neill Inc. Providence R102908 USA AMEC Environment & Infrastructure Inc. Newberry FL 32669 USA U.S. Environmental Protection Agency Research Triangle Park NC 27711 USA 

出 版 物：《Journal of Environmental Science and Engineering(B)》 (环境科学与工程（B）)

年 卷 期：2012年第1卷第6期

页      面：789-799页

学科分类：081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Dry deposition deposition velocity leaf area index MLM (Multi-Layer Model) 

摘      要：The U.S. EPA （Environmental Protection Agency） established the CASTNET （Clean Air Status and Trends Network） and its predecessor, the NDDN （national dry deposition network）, as national air quality and meteorological monitoring networks. Both CASTNET and NDDN were designed to measure concentrations of sulfur and nitrogen gases and particles. Both networks also estimate dry deposition using an inferential model. The design was based on the concept that atmospheric dry deposition flux could be estimated as the product of a measured air pollutant concentration and a modeled deposition velocity （Vd）. The MLM （multi-layer model）, the computer model used to simulate dry deposition, requires information on meteorological conditions and vegetative cover as model input. The MLM calculates hourly Fa for each pollutant, but any missing meteorological data for an hour renders Vd missing for that hour. Because of percent completeness requirements for aggregating data for long-term estimates, annual deposition rates for some sites are not always available primarily because of missing or invalid meteorological input data. In this work, three methods for replacing missing on-site measurements are investigated. These include （1） using historical values of deposition velocity or （2） historical meteorological measurements from the site being modeled or （3） current meteorological data from nearby sites to substitute for missing inputs and thereby improve data completeness for the network＇s dry deposition estimates. Results for a CASTNET site used to test the methods show promise for using historical measurements of weekly average meteorological parameters.