Effect of Smell and Its Minimising Factors at Kurkumbh Industrial Area
Keywords:
Industrialization, Field Investigation, Hydrogen Sulfide, Ammonia GasAbstract
<p>Rapidly growing industrialization has aggravated the problem through odorous industrial operations. Undesirable odor contributes to air quality concerns and affect human lifestyles. Odor is absolutely the most multifarious of all the air pollution problems. Controlling of odors it is required to identify the sources of odor and their type i.e. point sources and Area sources within Kurkumbh industrial area, to knowing wind speed, wind direction, temperature, humidity etc. by plotting wind rose diagram for Kurkumbh and understand that wind is blowing from north to south. In our study we define the total nine locations for measurement of intensity of odors compound that is hydrogen sulfide and ammonia. The issue of odours is very important because odorants can be an extreme nuisance and, with sufficient exposure, they can induce adverse health effects, such as nausea, vomiting, headache, loss of appetite, sleeplessness, upset stomach, and throat irritation depreciation of property values. In this paper odor pollution in the air within Kurkumbh industrial area of Daund region of Pune district is studied, including its sources and distribution, the physical and chemical properties of odor, odor emission regulations in Maharashtra. It was observed that the most feasible option to carry out an odor survey in India is to use Field Investigation Method. Applied field investigation method was modified to fit India’s need to measure different odor intensities based on the Arduino uno sensor that clearly recognizable odor is observed as an annoyance. It consists of a sensor which is used to detect the presence of gases namely ammonia and hydrogen sulfide. In Kurkumbh at the time of odor survey understand that the total intensity before and after the vegetative buffer were reduced by over 30% and odorous compound concentrations for hydrogen sulfide and ammonia gas compounds were reduced by 30 to 40 % and 10 to 20 % respectively. The main advantage of our model is that the sensor does a regular act in monitoring them from their daily activities.</p>
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