Development of EMC-based empirical model for estimating spatial distribution of pollutant loads and its application in rural areas of Korea
Development of EMC-based empirical model for estimating spatial distribution of pollutant loads and its application in rural areas of Korea作者机构:School of Earth and Environment Anhui University of Science and Technology Dowha Engineering Consulting Co.Ltd. Department of Environmental Engineering Hanseo University
出 版 物:《Journal of Environmental Sciences》 (环境科学学报(英文版))
年 卷 期:2015年第27卷第9期
页 面:1-11页
核心收录:
学科分类:0830[工学-环境科学与工程(可授工学、理学、农学学位)] 082803[工学-农业生物环境与能源工程] 08[工学] 0828[工学-农业工程] 09[农学] 0815[工学-水利工程] 0903[农学-农业资源与环境]
基 金:supported by the Eco-Star Aquatic Ecosystem Restoration Research Program, Korea Extensive sampling programs were supported by the Sustainable Water Resource Development Research Fund, Korea
主 题:EMC Empirical model Nonpoint source pollution Spatial distribution
摘 要:An integrated approach to easily calculate pollutant loads from agricultural watersheds is suggested and verified in this research. The basic concepts of this empirical tool were based on the assumption that variations in event mean concentrations(EMCs) of pollutants from a given agricultural watershed during rainstorms were only attributable to the rainfall *** one sets of EMC values were obtained from nine different watersheds located in the rural areas of Korea, and these data were used to develop predictive tools for the EMCs in rainfall runoff. The results of statistical tests of these formulas show that they are fairly good in predicting actual EMC values of some parameters, and useful in terms of calculating pollutant loads for any rainfall event time span such as daily, weekly, monthly, and yearly. This model was further checked in for its field applicability in a reservoir receiving stormwater after a cleanup of the sediments, covering 17 consecutive rainfall events from 1 July to 15 August in2007. Overall the predicted values matched the observed values, indicating the feasibility of this empirical tool as a simple and useful solution in evaluating timely distribution of nonpoint source pollution loads from small rural watersheds of Korea.