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Mandla, Venkata Ravibabu
- Study of Leachate Characterization in Landfill by Municipal Solid Waste
Abstract Views :179 |
PDF Views:1
Authors
Siripurapu Sriram
1,
Venkata Ravibabu Mandla
1,
M. Chaithanya Sudha
1,
Saladi S. V. Subba Rao
1,
Ch. Nagaveni
2,
V. Vani
2,
P. Gobinath
2,
K. V. G. Raj Kumar
2,
Jaydeep Lella
3,
Sannidhi Krishna Praveen
3,
Debjit Datta
3
Affiliations
1 OS-GST Lab, Department of Environmental and Water Resource Engineering, School of Civil and Chemical Engineering, VIT University, Vellore –TN, IN
2 Center of Disaster Mitigation and Management (CDMM), VIT University, Vellore –TN, IN
3 Department of Environmental and Water Resource Engineering, School of Civil and Chemical Engineering, VIT University, Vellore –TN, IN
1 OS-GST Lab, Department of Environmental and Water Resource Engineering, School of Civil and Chemical Engineering, VIT University, Vellore –TN, IN
2 Center of Disaster Mitigation and Management (CDMM), VIT University, Vellore –TN, IN
3 Department of Environmental and Water Resource Engineering, School of Civil and Chemical Engineering, VIT University, Vellore –TN, IN
Source
Research Journal of Pharmacy and Technology, Vol 10, No 2 (2017), Pagination: 385-390Abstract
Background and Objectives: It is an expectation that Landfill continues to be the major disposal route for municipal solid waste in future also. It is evident from so many researchers that sanitary land filling is the one of the available cheap and best alternate for handling Municipal solid waste till this day.
- Study on generation of leachate in landfills
- Determination of composition, characteristics of leachate in landfills.
- Determination of concentration and degree of landfill stabilization of leachate.
Methods: Leachate is produced during the landfill process. Leachate holding tank in landfill includes drainage, collection, removal with continuous monitoring. It includes treatment methods like: Biological, Physical and Chemical treatment processes.
Results: Leachate generation, composition, characteristics, quantity with factors are discussed. Concentration and degree of landfill stabilization are measured. Variations with age in the typical concentrations of common factors for landfill leachate are measured. Typical constituents and characteristics are measured for leachate produced during landfill. Conclusions: Landfill technology is one of the popular methods for municipal solid waste and gaining popularity day by day. It has been implemented in so many countries. Modern landfills sites are well-engineered, operated and monitored. Through the landfills leachate is produced. In order to reduce environmental effects with the produced leachate-composition, quantity, concentration have to be minimize and new techniques are required to reduce green house gas emissions from landfills. Municipal solid waste increasing day by day not only population growth but also due to industrialization also.
- Study of Energy Flux Model Using Geospatial Technology
Abstract Views :122 |
PDF Views:101
Authors
Affiliations
1 Energy and Environmental Engineering, VIT University, Vellore, IN
2 Department of Civil Engineering, Maharishi Markandeshwar University, Mullana, Ambala, Haryana, IN
3 Division of Environmental and Water Resources Engineering, VIT University, Vellore, IN
1 Energy and Environmental Engineering, VIT University, Vellore, IN
2 Department of Civil Engineering, Maharishi Markandeshwar University, Mullana, Ambala, Haryana, IN
3 Division of Environmental and Water Resources Engineering, VIT University, Vellore, IN
Source
International Journal of Earth Sciences and Engineering, Vol 10, No 3 (2017), Pagination: 711-716Abstract
Surface energy estimation has a significant and key role in urban environment, climate as well as in the surroundings. This research study goal was to analyse the Landsat series data in biophysical parameters for estimating land surface temperature and heat fluxes over the year 2003 and 2016 and realizing its effect on heat disturbance over the Hyderabad region. Result shows that during the year 2003 to 2016 there is rapid increase urban area which in turn has a direct impact on the land surface temperature and heat fluxes and which leads to a significant rise of 1.40°C has been observed. Classification of the LU/LC using remote sensing data is an accurate way of monitoring the special growth and distribution of the urban area. The analysis of the Normalised Difference Vegetation Cover (NDVI) is done and the increase of 17.53% of the urban area has been observed which major land covers change. Thus from the study it is observed the energy flux in the urban area has increased from 2003 to 2016 because of lack of vegetation cover it overall energy flux value increased to 46.80W/m2.Keywords
Remote Sensing, Urban Built-Up, Landsat, LU/LC, NDVI, Energy Flux.Full Text
- Assessment of Coastal Water Quality Along South West Coast of India using Multile Regression Analysis on Satellite Data
Abstract Views :177 |
PDF Views:1
Authors
Dinu Maria Jose
1,
Venkata Ravibabu Mandla
2,
Saladi S. V. Subbarao
3,
N. Srinivasa Rao
4,
Sheela A. Moses
5
Affiliations
1 Department of Applied Mechanics and Hydraulics, National Institute of Technology Karnataka, Mangalore, Karnataka, IN
2 Centre for Geoinformatics Applications in Rural Development (C-GARD), School of Science, Technology and Knowledge Systems, National Institute of Rural Development and Panchayati Raj (NIRD&PR), IN
3 Data and information Management Group, INCOIS, Hyderabad, IN
4 School of Engineering Sciences, Mahindra Ecole Centrale, Bahadurpally, Hyderabad, Telangana, IN
5 Kerala State Pollution Control Board, Trivandrum, Kerala, IN
1 Department of Applied Mechanics and Hydraulics, National Institute of Technology Karnataka, Mangalore, Karnataka, IN
2 Centre for Geoinformatics Applications in Rural Development (C-GARD), School of Science, Technology and Knowledge Systems, National Institute of Rural Development and Panchayati Raj (NIRD&PR), IN
3 Data and information Management Group, INCOIS, Hyderabad, IN
4 School of Engineering Sciences, Mahindra Ecole Centrale, Bahadurpally, Hyderabad, Telangana, IN
5 Kerala State Pollution Control Board, Trivandrum, Kerala, IN
Source
Journal of Rural Development, Vol 37, No 2 (2018), Pagination: 269-284Abstract
The coastal waters being the ultimate receiver of all the wastes, shows a declining trend in its quality. It is of immense importance to know the extent of pollution for its monitoring and management. Measurement of dissolved oxygen (DO), biological oxygen demand (BOD), pH and fecal coliform (FC) are vital in water quality monitoring and assessment studies. Usually these parameters are determined by analysing water samples collected from various locations. Since this is tedious and expensive, it is limited to small scales. In this paper, an effort has been made to quickly assess the quality of coastal waters of Kerala directly from the satellite imagery by estimating National Sanitation Federation Water Quality Index (NSFWQI) along with DO, BOD, pH and FC. Multiple linear regression is used to develop statistically significant models using Sea Surface Temperature (SST) and Remote Sensing Reflectance (Rrs ) from Moderate Resolution Imaging Spectroradiometer (MODIS) and in-situ data available on DO, BOD, pH and FC. The models when validated showed good correlation between in situ values and predicted values with r values ranging from 0.73 (p = 0.001) for DO to 0.89 for NSFWQI (p = 0.018).Spatial maps are generated showing the distribution of these parameters along the coast. The parameters in the study are checked to see if they are in compliance with the standards. The study gives models to estimate the daily distribution of these parameters along the coast using MODIS data. Thus, appropriate control measures could be adopted to limit the effect on susceptible rural population.Keywords
Water Quality, Moderate Resolution Imaging Spectroradiometer, Remote Sensing Reflectance, National Sanitation Federation Water Quality Index.References
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- GIS and MFA Approach for Solid Waste Management Towards Indian Proposed Smart-City
Abstract Views :170 |
PDF Views:1
Authors
Affiliations
1 OS – GST Lab, Department of Environmental and Water Resources Engineering, School of Civil and Chemical Engineering (SCALE), VIT University, Vellore, IN
2 Centre for Geoinformatics Applications in Rural Development (C-GARD), School of Science, Technology and Knowledge Systems, National Institute of Rural Development and Panchayati Raj (NIRD&PR), Hyderabad, IN
3 School of Earth, Atmosphere, and Environment, Faculty of Science, Monash University, Clayton Campus, Clayton, VIC 3800, AU
1 OS – GST Lab, Department of Environmental and Water Resources Engineering, School of Civil and Chemical Engineering (SCALE), VIT University, Vellore, IN
2 Centre for Geoinformatics Applications in Rural Development (C-GARD), School of Science, Technology and Knowledge Systems, National Institute of Rural Development and Panchayati Raj (NIRD&PR), Hyderabad, IN
3 School of Earth, Atmosphere, and Environment, Faculty of Science, Monash University, Clayton Campus, Clayton, VIC 3800, AU
Source
Journal of Rural Development, Vol 37, No 2 (2018), Pagination: 299-324Abstract
Incessant population growth and urbanisation results in the growth of heaps of solid waste in the urban localities. Proper disposal and recovery techniques through solid waste management (SWM) are widely followed to have a control over the negative environmental implications. Life cycle assessment (LCA) can be a tool in reducing these environmental implications by solid waste and also helps in reducing the impacts on the environment from growing urbanisation. This work, solid waste management through MFA in LCA perspective and GIS is being observed in managing the municipal solid waste for a proposed smart city, Vellore. Various techniques like indices derivation from various satellite imageries help in estimating the vegetation change over from past years resulting in depletion rate of 2100m<sup2 area, optimal route analysis for a proper waste collection covering all the dispose points, reducing collection route by 59.12 per cent and various SWM techniques that result in proper solid waste management have been studied. These studies and techniques can be redefined based on localities perspective for their own waste management system throughout the Indian cities and for their smart cities planning.Keywords
GIS Solid Waste Management, Life Cycle Assessment, Network Analysis NDVI, MFA.References
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