scholarly journals Preparing Municipal Solid Waste Emission Inventory and Spatial Distribution of Prayagraj City Using GIS

Author(s):  
Ashish Shankar Singh

Abstract: Pollutants in the air are emitted from a variety of sources in metropolitan areas, causing poor air quality. Using a Geographic Information System (GIS), this project attempts to assess municipal solid waste (MSW) burning emissions and prepare a spatial distribution grid for Prayagraj city. PM10, PM2.5, NOx, SO2, and CO emissions were computed using activity data and emission factors using a bottom-up approach. The result from this study shows that emissions for all 5 pollutants PM10, PM2.5, NOx, SO2, CO are 718, 488, 269, and 3771kg/day respectively, where CO is the highest emitted pollutant. The Prayagraj municipal area was divided into grids of 3 km2 area. The spatial distribution plotted for Prayagraj city shows the hotspot grid areas for all 5 air pollutants emission. The hotspot grids for PM10 are P9, P10, P17, P29 and for PM2.5, NOx, SO2, are P9, P10, P17 and for CO are P9, P10, P14, P17, P29. Keywords: PM10, PM2.5, NOX, SO2, CO, Emission Inventory, Spatial distribution, Hotspot grids

2020 ◽  
Author(s):  
Rahul Chaurasia ◽  
Manju Mohan

<p>The megacities of the world are experiencing a punishing level of air pollution where primary sources of emissions are industrial, residential and transportation. Delhi is also no exception and had been worst performing in terms of air quality and air pollution. In this backdrop, a high-resolution emission inventory becomes an essential tool to predict and forecast pollutant concentration along with the assessment of the impact of various government policies. This study aims to prepare a high-resolution gridded emission inventory (1km*1km) of criteria air pollutants (PM10, PM2.5, NO<sub>2</sub>, SO<sub>2 </sub>and CO) for Delhi-NCT (National Capital Territory).  The bottom-up gridded emission inventory has been prepared taking account of population density, land use pattern and socio-economic status. The emission from all the primary sectors has been taken into accounts such as transport, residential burning, industries, power plants, and municipal solid waste burning.  The emissions are estimated using emission factors and activity data for each sector. The emission factor for various fuel type burning is taken from CPCB (Central Pollution Control Board) reports and previous literature. Data corresponding to various sectors such as the amount of fuel consumed, population density, road density, traffic congestion points, industrial location, unauthorized colonies, slums, and total solid waste generation has been acquired from various government bodies, reports, and literature. The result reveals that the total estimated emissions from transportation, industries and domestic sector contribute nearly 72%, 60%, 52% of NOx, SO2 and PM10 emission respectively.  The transport sector has been found as the bulk contributor towards CO and NOx emissions. Domestic sector and Power plant emission have been found to be a bulk contributor of CO and SO2. Later, the spatial distribution of the emission is done using GIS technique (Arc-GIS). For spatial distribution of emission, district-wise population data, road density data, power plant location and digitization of the road network was carried out.</p>


Author(s):  
Hoang Anh Le ◽  
Nguyen Viet Thanh ◽  
Do Minh Phuong ◽  
Ho Quoc Bang ◽  
Nguyen Quang Hung ◽  
...  

Air emission inventory is an advance tool in application research of environmental field. Emission inventory can be conducted in different approaches, in which statistical data collection is considered to be a conventional way with relatively low reliability and delaying time. This study uses a methodology of extracting activity data of cultivation area and rice production employing SAR Sentinel-1 images in order to overcome the limitation of conventional method. Consequently, the data is utilized to estimate the total air pollutants emitted from rice straw open burning. Results show that integration of remote sensing data (SAR Sentinel-1 satellite) improves the seasonal spatial rice cultivated area and production distribution with high reliability. The study implies a considerable potential of satellite data for estimation of air emission from agriculture waste combusion due to its availability, real-time, and low cost features. Application for Hanoi in 2019 performs an amount of 460 thousand tons of rice straw was burned, created 542 thousand tons of CO2 (90%), 42 thousand tons of CO (7%), and other air pollutants of the rest 3%.      


2017 ◽  
Vol 170 ◽  
pp. 156-168 ◽  
Author(s):  
Ji Qi ◽  
Bo Zheng ◽  
Meng Li ◽  
Fang Yu ◽  
Chuchu Chen ◽  
...  

Author(s):  
Liang Lu ◽  
Yuqi Jin ◽  
Masato R. Nakamura ◽  
Marco J. Castaldi ◽  
Kunio Yoshikawa

This work aims at demonstrating the feasibility of replacing Indonesian coal (INC) with hydrothermally treated municipal solid waste (MSWH) in co-combustion with high ash Indian coal (IC). Combustion behaviors of MSWH, INC and their blends with IC were tested in a laboratory-scale drop tube reactor (DTR). The combustion efficiency and emissions such as CO, NO for a series of tests performed under a range of temperatures and air conditions were evaluated and the main results derived from this study can be concluded as the followings: the combustion efficiency of IC is increased by blending both MSWH and INC and CO emission is reduced in the meanwhile with the temperature rising. With regards to NO emission, the blending of MSWH leads to the increase of NO emission whereas the blending of INC results in either the increase or decrease of NO emission compared with IC only combustion depending on the temperature. The combustion behaviors of IC-MSWH blend are comparable to that of the IC-INC blend indicating it is possible for MSWH to become a good substitute for INC in the co-combustion with IC. The CO emission falls while the NO emission rises with the increase of the excess air in the case of IC-MSWH blend at 900 °C and the highest combustion efficiency is obtained at the excess air of 1.9. The existence of moisture in the co-combustion system of IC-MSWH blend can slightly improve the combustion efficiency, reduce CO emission and increase NO emission. The results of this work are expected to be a good instruction for the application of MSWH for co-combustion with coal.


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