Lead content in soil and wheat tissue along roads with different traffic loads in Rawalpindi district
2006
Lone, M.I. (University of Arid Agriculture, Rawalpindi (Pakistan). Dept. of Soil Science & SWC) | Raza, S.H. (University of Arid Agriculture, Rawalpindi (Pakistan). Dept. of Soil Science & SWC) | Muhammad, S. (University of Arid Agriculture, Rawalpindi (Pakistan). Dept. of Soil Science & SWC) | Naeem, M.A. (University of Arid Agriculture, Rawalpindi (Pakistan). Dept. of Soil Science & SWC) | Khalid, M. (University of Agriculture, Faisalabad (Pakistan). Inst. of Soil and Environmental Sciences)
A field study was conducted to evaluate the lead contents in soil and wheat as affected by vehicle exhausts in Rawalpindi district (Rawalpindi, Attock and Fatehjang). For this purpose three different traffic roads varying in traffic densities viz., Pir Vidhai road, Kamra road and Fatehjang road were selected. On each road five different fields at a distance of 20, 220, 420, 620 and 820 meters across the road were selected. Wheat crop was sown in September and October 2003. All cultural and management practices were those of farmers of the area. Plant and soil samples were collected at flag leaf stage. The plant samples were digested in nitroperchloric acid mixture and soil samples were collected before and after experiment were extracted with Ammonium bicarbonate-diethylene triamine pentaacetic acid (AB-DTPA) and lead content was determined by atomic absorption spectrophotometer. The data were statistically analyzed using regression model. Lead contents of both soil and plant samples were positively correlated with the traffic density and negatively correlated to distance from the road. The lead contents in soil and plants at Pir Vadhai Road (the busiest road) were found to be highest. Least contents of Lead were found in the soil and plant samples along Fatehjang road (medium traffic load. Along Kamra road (having the lowest traffic load), maximum values of Lead contents at 620 and 820 m distance in the soil and plant samples were attributed to use of Sewage water.
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