Badr Alharbi

Study of chemical characteristics of particulate matter concentrations in Riyadh, Saudi Arabia

Particulate matter samples were collected from several locations during September 2011 and September 2012 in Riyadh, Saudi Arabia. In addition to determining particulate matter (as PM10) concentrations, the samples were analyzed for several metals and ions. PM concentration was approximately 3 times higher than the Country’s ambient air quality standards respectively. Metals and ions contributed to about 21.5% and 16.2% of the PM concentrations respectively. Summer vs. winter comparison showed that PM concentrations were approximately 84% higher in summer and the crustal matter species such as Fe, Mn, Ti, Ca+2, Mg+2 increased several folds in summer, primarily attributed to dust storms. The weekdays PM concentrations were 17% more than the weekend concentrations, indicating weekday activities contribute to the concentrations. The dust storms lead to over 200% increase in the PM and some elements primarily Al, Fe, Mg and Ca. Spatial comparison at industrial and residential locations revealed about 60% increase in PM concentrations and substantial increase in Zn, Mn, B, Mg, Fe, and Al and the ions K+, SO4--, and Cl- at industrial locations. Bivariate correlations among the metals and ions demonstrated that strong correlation existed between Al, Fe, Mg, K and Mn suggesting a common origin for these species i.e. the crustal mineral aerosols. The correlations among cations and anions implied the presence of compounds in the atmosphere such as CaSO4, (NH4)2SO4, KCl, KSO4, and also to some extent MgSO4. An investigation of ionic ratios revealed that ratios SO4-2/NO3-, Ca+2/K+, and Ca+2/Na+ could be possible indicators to identify scenarios industrial over residential locations, storm days over no storm days and summer over winter periods respectively.

Design of Urban Air Quality Monitoring Network: Fuzzy Based Multi-Criteria Decision Making Approach

The air quality monitoring network (AQMN) is the essential part for air quality management, strategies planning, and performance assessment (Mofarrah and Husain, 2010). Existing methods of establishing ambient air quality monitoring networks typically evaluate the parameters related to air pollutant concentrations, emission source characteristics, atmospheric transport and dispersion, secondary reactions, deposition characteristics, and local topography (Harrison and Deacon, 1998; Bladauf et al., 2002). In most of the cases, AQMN is designed to measure the pollutants of concern such as particulate matter (PM10), carbon monoxide (CO), sulfur dioxide (SO2), ozone (O3), nitrogen oxides (NOx), and total hydrocarbons (Chang and Tseng, 1999). Most of the reported AQMN design methods applied to a specific situation wherein one or two specific objectives are considered (Harrison and Deacon, 1998; Mofarrah and Husain, 2010). However, design of AQMN considering the multiple-criteria including multiple pollutants is complicated because air pollution phenomena are complex and dynamic in nature, depends on the meteorological and topographical conditions and involves not only irregularity of atmospheric movement but also uncertainty of human activities. The objective of this study is to develop a systematic approach for designing urban AQMN considering multi-criteria including multiple air pollutants in the system. The optimization is approached based on the utility scores gained from the fuzzy analytical hierarchy process associated with a candidate station, which is estimated over the representative zone (RZ) of the potential station.

Assessment of soil contamination caused by underground fuel leakage from selected gas stations in Riyadh, Saudi Arabia

ABSTRACT Spills and leakage from underground fuel storage tanks (UFSTs) can potentially contaminate soil and groundwater and pose harmful effects to public health and the environment. This study evaluated the feasibility of using volatile organic compounds (VOCs), total petroleum hydrocarbons (TPHs), electrical conductivity (EC), and pH to examine the contamination caused by leaking UFSTs. Screening water assessments for VOCs and general water quality parameters were conducted on the premises of 53 gas stations in Riyadh, Saudi Arabia, to identify potentially contaminated sites, and 25 ground bores were drilled for the quantification of TPH concentrations, EC, and pH values in 407 soil samples. The experimental approach followed in this study included geochemical analyses based on borehole drilling at five targeted gas stations, analyses of water samples from underground storage reservoirs, and analyses of soil core samples obtained from different depths to determine the degree of TPH contamination. Thirty-five VOCs were identified in the water samples collected from gas stations. Methylene chloride, tribromomethane, toluene, chlorobenzene, dibromochloromethane, and benzene were frequently encountered in most of the water samples. Some of these samples exceeded the World Health Organization and Saudi Arabian guidelines for acceptable levels of pH, total dissolved solids, chloride, nitrate, sulfate, calcium, and total hardness. The measured TPH levels were clearly indicative of subsoil contamination and subsequent accumulation in soil over time, particularly at depths of 1–6 m; there was not a noticeable dependence or impact on pH.