Characterization of municipal solid waste: Measures towards management strategies using statistical analysis.

Implementing unified municipal solid waste management (MSWM) is often difficult due to socio-economic variables. However, spatial GIS models and statistical analysis of solid waste characterized by the weekdays, weekends, and festivals can somewhat mitigate the variance and assist with selecting suitable waste management methods. This paper presents the example of Rajouri, India, to propose a suitable MSWM based on Inverse Distance Weighted (IDW) intensity maps and statistical findings. The considered region was divided into different sample sites based on the local population density, and Municipal Solid Waste (MSW) was collected from four locations in each site on weekdays, weekends, and festivals. Compositional analysis of the MSW was then used to generate spatial IDW models in QGIS 3.22.7 to interpolate MSW generation over the entire area. Finally, statistical analysis was conducted to gain insight into the waste generation and accumulation trends. The results show that Rajouri produces 245 tonnes of waste daily (per capita: 0.382 kg/day) with a large organic fraction compared to other waste categories. Besides, waste generation is observed to increase over weekends and festivals due to increased consumption of material goods. Composting could serve as a vector for municipal solid waste because of its increased organic component and cost constraints. However, further research on the potential segregation techniques for the organic fraction of solid waste is needed.

Identification of prevalent leachate percolation of municipal solid waste landfill: a case study in India.

Landfill leachate forms when waste-inherent water and percolated rainfall transfer are highly toxic, corrosive, acidic, and full of environmental pollutants. The release of leachate from municipal solid waste (MSW) landfill sites poses a severe hazard to human health and aquatic life. This study examined the impact of leachate from Delhi's Ghazipur landfill on the nearby groundwater quality. Analysis of leachate samples was done to determine various parameters such as total dissolved solids (TDS), hardness, alkalinity, electrical conductivity, pH, BOD5, COD, nitrate, sulphate, chloride and iron, and presence of coliform bacteria. Significant dissolved elements (22,690-34,525 mg/L) were observed in the samples, indicated by the high conductivity value (1156-1405 mho/cm). However, a stable pH range (6.90-7.80) of leachate samples was observed due to high alkalinity concentrations between 2123 and 3256 mg/L. The inverse distance weighing (IDW) interpolation tool from QGIS 3.22.7 developed spatial interpolated models for each parameter across the Ghazipur area. The IDW interpolated graphs of various parameters over the whole study area confirmed these contaminations. In addition, leachate and groundwater samples were physio-chemically analyzed, and temporal fluctuation in landfill waste has also been studied. The temporal fluctuation results showed that when heat is produced, transmitted, and lost throughout the waste system, the maximum temperature position fluctuates over time. The findings of this study highlight the critical importance of landfill management in reducing groundwater contamination from MSW leachate.

Energy generation and revenue potential from municipal solid waste using system dynamic approach.

The Municipal Solid Waste (MSW) generation per capita in developing countries is generally said to grow in proportion to the gross national product. Composting and waste to energy have a brief history as management strategies for MSW in India and as alternatives to landfilling. Analysis of Energy generation and compost potential from waste can minimize the impact of MSW on the environment with the added advantage of providing a local source of energy. The study has been carried out to develop a system dynamic (SD) model to predict the energy generation, treatment, and cost analysis for MSW up to 2030. The predictive model developed in this study showed the generation rate of electrical energy potential augmented from 0 in 2001 to 58,380 MWh in 2007 and 319,875 MWh in 2030. Whereas, the production rate of compost reduced from 77,000 tonnes in 2001 to 45,000 tonnes in 2006 and then improved to 390,000 tonnes in 2030. In addition, the predicted revenue generated from different treatment facilities increased from 0 in 2001 to Rs.335 million (4.36 million USD) in 2007 and Rs.2569 million (33.4 million USD) in 2030. As a result, revenue generated could cover the budgets required for MSW treatment and disposal services in 2030, where the required budget is negative because revenue exceeds expenditures. The developed SD model can improve a municipal solid waste management system for any City.

2D and 3D mapping of traffic induced noise near major roads passing through densely populated residential area of South Delhi, India.

Noise monitoring and mapping is the critical processes to ensure that the noise level does not reach the harmful levels and provides noise exposure level details. 2-D and 3-D noise mapping has been carried out at pre-selected critical locations of major roads passing through densely populated residential areas, namely, Mathura Road, Lodhi Road, Lala Lajpat Rai Road, and Ring road, along with significant intersections, viz. Moolchand, Ashram, Sabz Burj, and Lodhi road. The monitoring has been performed during the day and night's peak traffic hours using Sound Level Meter (SLM) Larson & Davis 831as per standard procedure. Then after, 2-D and 3-D noise maps have been prepared, visualized, and analyzed by soundPLAN (acoustic) and MapInfo Pro (Desktop GIS). The maximum noise level is observed at Ashram Chowk [81.1 dB (A)] at 8 pm; however, the minimum noise level is found to be at Lala Lajpat Rai Road [76.4dB (A)] at 7 pm. Monitoring results of noise level show non-compliance of regulatory standards for day time and night time. 2-D noise maps revealed that the noise level is maximum at the centerline of the road and decreases either side with the distance, and remains above the permissible limits at all locations. However, the 3-D noise maps show horizontal as well as vertical noise levels at all locations. The 3-D noise maps also revealed a noise level of 70 dB (A) up to a height of 6.096m at the Ashram Chowk and Moolchand intersection. However, a noise level of 65 dB (A) has been observed at the height of 5.486m at Lala Lajpat Rai Marg and Sabz Burj. This study will explore noise levels in both horizontal and vertical directions near roads surrounded by high-rise buildings. It will help the decision-makers take remedial measures.

Association of CYP2E1 and NAT2 gene polymorphisms with chronic obstructive pulmonary disease.

BACKGROUND: Detoxification genes are potential candidates in the susceptibility of patients with chronic obstructive pulmonary disease. Polymorphisms in these genes alter the metabolism of xenobiotics such as present in cigarette smoke. METHODS: We conducted a case-control study to investigate total 9 polymorphisms of CYP2E1, CYP2D6 and NAT2 genes by PCR-RFLP. RESULTS: The -1053C/T and -1293G/C promoter polymorphisms of CYP2E1 were found to be in complete linkage disequilibrium (LD) (D'=1.00, r(2)=1.0, p<0.0001), whereas -1293G/C and 7632T/A polymorphisms of the same gene were also in significant LD (D'=0.5183, r(2)=1.0, p=0.01) in patients. The patients over-represented the -1293GC+CC genotypes of -1293G/C polymorphism of CYP2E1 (p=0.03) and NAT2*4/7, NAT2()5/6, NAT2*5/7, NAT2*6/6 and NAT2*6/7 genotypes of NAT2 (p=0.01, p=0.039, p=0.01, p=0.032, p=0.006, respectively), resulting in to higher frequency of -1293C (OR=7.02, 95% CI=1.63-30.15, p=0.002), NAT2*6 (OR=1.90, 95% CI=1.27-2.83, p=0.001) and NAT2*7 (OR=2.91, 95% CI=1.65-5.12, p=0.0001) alleles. The 7632T/A and 9893C/G polymorphisms of CYP2E1 and 1934G/A polymorphism of CYP2D6 did not associate with the disease (p>0.05). The haplotypes -1293G:9893C and -1293G:7632T:9893C were under-represented (p<0.001), whereas haplotypes -1293C:7632T, -1293C:9893C, -1293C:9893G and -1293C:7632T:9893C of the 4 CYP2E1 polymorphisms were over-represented in patients (p<0.05). CONCLUSION: The CYP2E1 and NAT2 variants associated with COPD.