IOSR-JAP   Volume-1 ~ Issue-6 ~ Sep–Oct 2012

Paper Type	:	Research Paper
Title	:	Application of GIS Models in Site selection of waste disposal in Urban Area
Country	:	Malaysia
Authors	:	H. Shahabi, H. Allahvirdiasl, Mr.Mohsen Ali zadeh
	:	10.9790/4861-0160107

Abstract: Landfill siting should take into account a wide range of territorial and legal factors in order to reduce negative impacts on the environment. The suitability of selected site for disposal center affects the amount of generated energy and the cost of disposal generation. Suitable sites should be determined on the basis of technical, economical and socio-environmental issues. GIS along with appropriate models and spatial analysis method can be used to define the suitability of different locations for the construction of disposal centers. This research focused on determining suitable locations for construction of a suitable disposal centers. Our study area is Saqqez city in Kurdistan province in North West of Iran. At the first, important parameters in hazardous material disposal center sitting for studied area were identified. Then, the maps of studied area were prepared and integrated. Boolean, index overlay, and fuzzy logic models were used for integrating of maps. The suitable locations for the waste material disposal center were selected using each model. Finally, in index overlay and fuzzy logic model, 0.12% and 0.17% of the study area was selected as suitable, respectively. In both of the methods, the majority of suitable area was located in south east of city, where waste demand is more than other places.
Keywords- Waste disposal; Site selection; GIS; Saqqez city.

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[2] B.Mukhopadhyay, A.Saha, N. Hazra, Knowledge Driven GIS Modeling Techniques for Copper Prospectively Mapping in Singhbhum Copper Belt, Retrospection, india,2001, 156-163.
[3] Common Disposal center Sitting Criteria, Public Service Commission of Wisconsin, 1999, www.psc.wi.gov/consumerinfo/brochures/waste/6017b.pdf
[4] K. Delaney and A. Lachapelle, "A GIS Approach to Sitting a Coal-Fired Disposal center in Franklin County, Illinois, 4, 2003, 65-76.
[5] K. H. Chi, N. W. Park, Ch.J. Chung, Fuzzy Logic Integration for Landslide Hazard Mapping Using Spatial Data from Boeun, KOREA, 3, 2001, 87-95.
[6] M.J. Valadan Zoej, M. S. Mesgari, S. Beheshtifar, M. Karimi1, Thermal Disposal center Site Selection Using GIS, Map Asia conference, 2005.
[7] S. Beheshtifar, S. Mesgari, M.J. Valadan Zoej, M. Karimi, Data Integration Using Fuzzy Logic Model Application in: Power-Plant Sitting, Map India conference, 2006.
[8] K.H, Valizadeh and H. Shahabi, Comporison of Boolean,Index overlay and Fuzzy Logic Methods for data integration in hazardous material disposal center sitting, 5th international Conference on Geographic information system, 2008, Istanbul-Turkey.
[9] M. Moeinaddini, N. Khorasani, A. Danehkar, A.A. Darvishsefat, M. zienalyan,, Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj), Waste Management, 30, 2010, 912–920.
[10] M.A. Abdoli, Recycling of Municipal Solid Wastes. Tehran University, Iran, 2005.

Paper Type	:	Research Paper
Title	:	Estimation of Snow Physical Parameters Using EO-1 Hyperion
Country	:	India
Authors	:	Manjeet Singh, V.D Mishra, Jyoti Dhar Sharma, Anita Negi
	:	10.9790/4861-0160813

Abstract: Snow is a highly unstable and porous material which is composed of frozen water (ice) and air. It undergoes constant change due to ambient conditions and becomes essential matter in earth's climate system. This makes snow physical parameters as an important tool to study global climate change especially when satellite data provide timely and efficient information about large land area. In the present paper, one of the snow physical parameters (i.e snow grain size) has been estimated using spectral angle mapper (SAM) method and validated with existed grain index (GI) method. Study was carried out by using NASA's hyperspectral EO-1 Hyperion sensor. The analysis procedure consists of Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) atmospheric correction code derives its physics-based algorithm from the Moderate Resolution Transmittance (MODTRAN4) radiative transfer code as well as topographic correction to retrieve surface reflectance. The spectral reflectance of different types of snow grain size, vegetation-mixed snow and boulder-mixed snow has been collected in field, using optical spectro-radiometer and compared with satellite derived spectra. The study reveals a good agreement between the grain size classes i.e. fine, medium and coarse and quantitatively retrieved grain sizes using SAM theory.
Keywords: Hyperion, FLAASH, MODTRAN, GI, SAM

[1] Manjeet, S. Mishra, V.D. Thakur, N.K. Kulkarni, and A.V. Singh, M. Impact of Climatic Parameters on Statistical Stream Flow Sensitivity Analysis for Hydro Power. J. Indian Soc. Remote Sens. 37, 2009, 601–614.
[2] Sharma, K. J. Puneeta, D. and Mishra, V.D. New algorithm development for snow cover monitoring at sub-pixel level using MODIS data. Atti Della Fondazione Giorgio Ronchi Annolxv, 4, 2010, 439-452.
[3] Konig, M. Winther, J.G and Isaksson, E. Measuring snow and glacier properties from satellite. Reviews of Geophysics. 39, 2001,1-27.
[4] Kulkarni, A.V. Singh, S.K. Mathur, P. and Mishra, V.D. Algorithm to monitor snow cover AWiFS data of RESOURCESAT-1 for the Himalayan region. Int. J. Remote Sens. 27(12), 2006, 2449–2457.
[5] Bohren, C. F. and Barkstrom, B. R. Theory of the optical properties of snow. Journal of Geophysical Research. 79(30), 1974, 4527-4535
[6] Greenfell, T.C. Perovich, D.K. and Ogren, J.A. Spectral albedos of an Alpine snowpack. Cold Regions Science and Technology. 4,1981, 121-127.
[7] Aoki, T. Fukabori, M.; Hachikubo, A. Tachibana, Y. and Nishio, F. Effects of snow physical parameters on spectral albedo and bi-directional reflectance of snow surface. Journal of Geophysical Research. 105(8), 2000, 10219-10236.
[8] Dozier, J. Painter,T.H. Multispectral and hyperspectral remote sensing of alpine snow properties. Annual Review of Earth and Planetary Sciences, 32, 2004, 465-494.
[9] Negi H.S. Kulkarni A.V. and Semwal B.S. Study of Contaminated and Mixed Objects Snow Reflectance in Indian Himalaya using Spectroradiometer. International Journal of Remote Sensing, 30(2), 2009, 315-325.
[10] USGS(2003)EO-1,UserGuideversion2.3,downloadedon15July2012,from,http://eo1.usgs.gov/documents/EO1userguidev2pt320030715UC.pdf

Paper Type	:	Research Paper
Title	:	Gamma Ray Photon Energy Absorption Buildup Factor Study In Some Soils
Country	:	India
Authors	:	Jasbir Singh Dhillon, Barjinderpal Singh and Gurdeep Singh Sidhu
	:	10.9790/4861-0161421

Abstract: G.P. fitting method has been used to find energy absorption buildup factor for some soils taken from different states of India. Field of study has been spread over wide energy region 0.015-15.0 MeV up to a penetration depth of 40 mfp. Variation of EABF with incident photon energy and penetration depth has been studied. We observed that chosen soils have maximum value of EABF around 0.2 MeV. Variation in value of EABF was due to dominance of different interaction processes in different energy regions. A comparative study on the basis of different properties of selected soils like EBF, EABF, equivalent and effective atomic numbers has been also done.
Keywords- Energy absorption buildup factor (EABF), Exposure buildup factor (EBF), Mean free path (mfp), Shielding.

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