Time-series Analysis of Ground-level Ozone in Muda Irrigation Scheme Area (mada), Kedah
نویسنده
چکیده
It has long been recognised that pollutant gases cause significant impacts on crops and studies conducted revealed that ground-level ozone is responsible for most of the crop-yield losses from air pollutants whereby losses from other pollutants are minimal, relative to ozone (Fuhrer et al., 1997; Pleijel et al., 1998; Ishii et al, 2004). Ozone is a secondary pollutant resulting from photochemical reaction of a variety of natural and anthropogenic precursors (mainly volatile organic compounds (VOCs) and oxides of nitrogen (NOx)). Despite massive and costly control efforts, countries in Europe and North America still experience severe ozone problems (Wu and Chan, 2001). People in Asia cannot escape from ozone pollution. In some large Asian cities, elevated ozone levels have been reported (Chan and Chan, 2000). Nevertheless, the long-term ozone trend, especially in Malaysia, is relatively less researched. TIME-SERIES ANALYSIS OF GROUND-LEVEL OZONE IN MUDA IRRIGATION SCHEME AREA (MADA), KEDAH.
منابع مشابه
Short-term prediction of atmospheric concentrations of ground-level ozone in Karaj using artificial neural network
Air pollution is a challenging issue in some of the large cities in developing countries. Air quality monitoring and interpretation of data are two important factors for air quality management in urban areas. Several methods exist to analyze air quality. Among them, we applied the dynamic neural network (TDNN) and Radial Basis Function (RBF) methods to predict the concentrations of ground-level...
متن کاملShort-term prediction of atmospheric concentrations of ground-level ozone in Karaj using artificial neural network
Air pollution is a challenging issue in some of the large cities in developing countries. Air quality monitoring and interpretation of data are two important factors for air quality management in urban areas. Several methods exist to analyze air quality. Among them, we applied the dynamic neural network (TDNN) and Radial Basis Function (RBF) methods to predict the concentrations of ground-level...
متن کاملStudy of Heavy Metal Levels among Farmers of Muda Agricultural Development Authority, Malaysia
Heavy metals, particularly cadmium, lead, and arsenic, constitute a significant potential threat to human health. This study was conducted to determine the levels of cadmium, lead, and arsenic in nail samples from farmers at Muda Agricultural Development Authority (MADA), Kedah, Malaysia, and evaluate factors that can contribute to their accumulations. A total of 116 farmers participated in thi...
متن کاملتخمین غلظت ازن در سطح زمین با استفاده از روش رگرسیون خطی چند متغیره و تعیین پارامترهای موثر
Background and Objective: Ground level ozone (O3) is one of most dangerous pollutants for human health in urban areas. The aim of this study was to identify the factors affecting the formation of ozone and modeling the spatial and temporal variations of ozone concentration in Tehran metropolitan area. Materials and Methods: The data used in this research included meteorological data and pollut...
متن کاملPreliminary Assessment on Autecological Studies of Beardless Barb, Cyclocheilichthys apogon (Valenciennes, 1842) from Muda Reservoir of Kedah, Malaysia.
Like many other countries, reservoirs in Malaysia are primarily built for various functions such as hydroelectric power generation, drinking water supply, flood mitigation and irrigation for agricultural purposes. Artisanal fisheries activities were also performed in these reservoirs. The freshwater fish are a requisite source of protein for the rural population. Consequently, the fish resource...
متن کامل