International Journal of Geography and Geology

Published by: Conscientia Beam
Online ISSN: 2305-7041
Print ISSN: 2306-9872
Quick Submission    Login/Submit/Track

No. 2

Landslide Hazard Evaluation and Zonation of Karaj-Chalus Road (North of Iran)

Pages: 35-44
Find References

Finding References


Landslide Hazard Evaluation and Zonation of Karaj-Chalus Road (North of Iran)

Search :
Google Scholor
Search :
Microsoft Academic Search
Cite

DOI: 10.18488/journal.10.2018.72.35.44

Ali Sorbi , Alireza Farrokhnia

Export to    BibTeX   |   EndNote   |   RIS

Anbalagan, R., 1992. Landslide hazard evaluation and zonation mapping in mountainous terrain. Engineering Geology, 32(4): 269–277. View at Google Scholar | View at Publisher

Arora, M., A. Das Gupta and R. Gupta, 2004. An artificial neural network approach for landslide hazard zonation in the Bhagirathi (Ganga) Valley, Himalayas. International Journal of Remote Sensing, 25(3): 559–572. View at Google Scholar | View at Publisher

Ayalew, L. and H. Yamagishi, 2004. Slope failures in the blue nile basin, as seen from landscape evolution perspective. Geomorphology, 57(1-2): 95-116.View at Google Scholar | View at Publisher

Bisson, M., C. Spinetti and R. Sulpizio, 2014. Volcaniclastic fl ow hazard zonation in the sub-apennine vesuvian area using GIS and remote sensing. Geosphere 10(6): 1419-1431. View at Google Scholar | View at Publisher

Bommer, J.J. and C.E. Rodrı´guez, 2002. Earthquake-induced landslides in Central America. Engineering Geology, 63(3-4): 189–220. View at Google Scholar | View at Publisher

Carrara, A., F. Guzzetti, M. Cardinali and P. Reichenbach, 1999. Use of gis technology in the prediction and monitoring of landslide hazard. Nat Hazards, 20(2-3): 117–135. View at Google Scholar 

Casagli, N., F. Catani, C. Puglisi, G. Delmonaco, L. Ermini and C. Margottini, 2004. An inventory-based approach to landslide susceptibility assessment and its application to the Virginio River Basin, Italy. Environmental and Engineering Geoscience, 10(3): 203–216. View at Google Scholar | View at Publisher

Collison, A., S. Wade, J. Griffiths and M. Dehn, 2000. Modelling the impact of predicted climate change on landslide frequency and magnitude in SE England. Engineering Geology, 55(3): 205–218. View at Google Scholar | View at Publisher

Crozier, M.J. and T. Glade, 2005. Landslide hazard and risk: Issues, concepts, and approach. In: Glade, T., Anderson, M., Crozier, M. (Eds.), Landslide Hazard and Risk. Chichester: Wiley. pp: 1–40.

Dahal, R.K., S. Hasegawa, T. Masuda and M. Yamanaka, 2006. Roadside slope failures in nepal during torrential rainfall and their mitigation. Disaster Mitigation of Debris Flows, Slope Failures and Landslides, 2: 503–514. View at Google Scholar 

Dai, F.C. and C.F. Lee, 2001. Terrain-based mapping of landslide susceptibility using a geographical information system: A case study. Canadian Geotechnical Journal, 38(5): 911–923. View at Google Scholar | View at Publisher

Dai, F.C., C.F. Lee and Y.Y. Ngai, 2002. Landslide risk assessment and management: An overview. Engineering Geology, 64(1): 65–87. View at Google Scholar | View at Publisher

Dattilo, G. and G. Spezzano, 2003. Simulation of a cellular landslide model with CAMELOT on high performance computers. Parallel Computing, 29(10): 1403–1418.View at Google Scholar | View at Publisher

Fall, M., R. Azzam and C. Noubactep, 2006. A multi-method approach to study the stability of natural slopes and landslide susceptibility mapping. Engineering Geology, 82(4): 241–263. View at Google Scholar | View at Publisher

Girma, F., T.K. Raghuvanshi, T. Ayenew and T. Hailemariam, 2015. Landslide hazard zonation in Ada Berga District, Central Ethiopia – a GIS based statistical approach. Journal of Geomatics, 9: 25–38. View at Google Scholar 

Guzzetti, F., A. Carrara, M. Cardinali and P. Reichenbach, 1999. Landslide hazard evaluation: A review of current techniques and their application in a multi-scale study, central Italy. Geomorphology, 31(1–4): 181–216.View at Google Scholar | View at Publisher

Kanungo, D.P., M.K. Arora, S. Sarkar and R.P. Gupta, 2006. A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas. Engineering Geology, 85(3-4): 347–366. View at Google Scholar | View at Publisher

Keefer, D.V., 2000. Statistical analysis of an earthquake-induced landslide distribution—the 1989 Loma Prieta, California event. Engineering Geology, 58(3-4): 231–249.View at Google Scholar | View at Publisher

Leroi, E., 1997. Landslide risk mapping: problems, limitation and developments. In: Cruden, Fell (Ed.), Landslide Risk Assessment. Rotterdam: Balkema. pp: 239–250.

Nagarajan, R., A. Mukherjee, A. Roy and M. Khire, 1998. Temporal remote sensing data and GIS application in landslide hazard zonation of part of Western ghat, India. International Journal of Remote Sensing, 19(4): 573–585. View at Google Scholar | View at Publisher

Pan, X., H. Nakamura, T. Nozaki and X. Huang, 2008. A GIS-basedlandslide hazard assessment by multivariate analysis Landslides. Journal of the Japan Landslide Society, 45(3): 187–195. View at Google Scholar | View at Publisher

Parise, M. and R.W. Jibson, 2000. A seismic landslide susceptibility rating of geologic units based on analysis of characteristics of landslides triggered by the 17 January, 1994 Northridge, California earthquake. Engineering Geology, 58(3-4): 251–270. View at Google Scholar | View at Publisher

Raghuvanshi, T.K., J. Ibrahim and D. Ayalew, 2014. Slope stability susceptibility evaluation parameter (SSEP) rating scheme – an approach for landslide hazard zonation. Journal of African Earth Sciences, 99: 595–612.View at Google Scholar | View at Publisher

Saha, A., R. Gupta and M. Arora, 2002. GIS-based landslide hazard zonation in the Bhagirathi (Ganga) Valley, Himalayas. International Journal of Remote Sensing, 23(2): 357–369.View at Google Scholar | View at Publisher

Wang, X. and R. Niu, 2009. Spatial forecast of landslides in three gorges based on spatial data mining. Sensors, 9(3): 2035–2061. View at Google Scholar | View at Publisher

No any video found for this article.
Ali Sorbi , Alireza Farrokhnia (2018). Landslide Hazard Evaluation and Zonation of Karaj-Chalus Road (North of Iran). International Journal of Geography and Geology, 7(2): 35-44. DOI: 10.18488/journal.10.2018.72.35.44
Mass wasting, one of the major natural disaster, have resulted into significant injury and loss to the human life and damaged Property and infrastructure throughout the world. The studied area is located in the Alborz mountains Range from Karaj to Chalus, central Alborz mountain range, Iran; where is frequently affected by several different mass wasting types and needs to be considered and immediate attention. In this study 9 causative factors, include: drainage density, aspect, slope, vegetation density, lineation density, main fault buffer, landuse, lithology and seismic activity was considered. The studies have shown that the northern part of the rout falls under very low to low risk except near the MarzanAbad city because of the KalarDasht heights. Increasing vegetation density is one of the reasons for reducing the risk in the northern part of the rout. Very high risk zones are mainly concentrated between Aderan and Nesa cities that explained by the presence of steep slopes and the effect of the faults which affected this section of rout. There are significant risk reducing by getting away from the road. In general, most of the areas on this rout are zones that have the medium to high instability.
Contribution/ Originality
This study uses new estimation methodology in landslide hazard zonation in Karaj-Chalus Road and the results of this study will help to preventing slope instability by enhancing the high risk areas.

The Impact of Land Use on Spatial Variations of Begging in District Lahore_Pakistan

Pages: 27-34
Find References

Finding References


The Impact of Land Use on Spatial Variations of Begging in District Lahore_Pakistan

Search :
Google Scholor
Search :
Microsoft Academic Search
Cite

DOI: 10.18488/journal.10.2018.72.27.34

Imran Khan

Export to    BibTeX   |   EndNote   |   RIS

Azam, N., 2011. Beggarization: Beggary as an organized crime in Pakistan. A Thesis of Graduate Degree Program in Global and International Studies and the Graduate Faculty of the University of Kansas.

David, O.V. and M.O. Jelili, 2010. The influence of land use on the spatial variations of begging in Ogbomoso, Nigeria. Journal of Geography and Regional Planning, 3(4): 73-83. View at Google Scholar 

District Census Report of Lahore, 1998. Population Cesus Organization Statistics Division, Government of Pakistan Islamabad URI. Retrieved from http://hdl.handle.net/123456789/15668 .

Fawole, A.O., D.V. Ogunkan and M.A. Adetunji, 2010. Spatial and temporal variations of begging in Ogbomoso, Nigeria. Department of Sociology, University of Ilorin, Nigeria. Department of Urban & Regional Planning, Ladoke Akintola, University of Technology, Ogbomoso, Oyo State, Nigeria. Lapai Sociological Review, 2(1): 64-77.

Harris, C. and E. Ullman, 1945. The nature of cities. ANNALS of the American Academy of Political and Social Science, 242(1): 7-17. View at Google Scholar 

Hasan, A., 2011. Factors contributing to child begging in Hilla City- Babylon- Iraq. A Case Control Study in Urban Cummunity of Hilla City Babylone Province Iraq.

Hoyt, H., 1939. The structure and growth of residential neighborhoods in American Cities.

International Labour Organization, 2004. Collective for social science research, Karachi. A Rapid Assessment of Bonded Labour in Domestic Work and Begging in Pakistan.

Jabir, H., 2013. Problems of beggar: A case study. International Journal of Management and Social Sciences Research, 2(12): 67-74. View at Google Scholar 

Jelili, M.O., 2006. Environmental and socio- economic dimensions of begging in Ilorin and Ogbomoso. Unpublished M.Tech Dissertation, Department of Urban and Regional Planning, Ladoke Akintola University of Technology, Ogbomoso, Nigeria.

Matei, E., L. Dumitrache, G. Manea, O. Coco and C. Mihalache, 2013. Begging phenomenon in Bucharest City: Dimensions and patterns of expression. Social Sciences Citation Index, 43(4): 61-79. View at Google Scholar 

Mazhar, F. and T. Jammal, 2009. Temporal population growth of Lahore. Punjab Journal of Scientific Research, 39(1): 53-58.

Osagbemi, O.M., 2001. Socio–economic characteristics of beggars and level of participation in street begging in jos. Journal of Environmental Sciences, 5(1): 88 - 102. View at Google Scholar 

Rachayl, 2009. Beggar’s. Rachayl Reports. Pakistan, 2009, 1. Retrieved from http://www.youtube.com/watch?v=2GAP2pIYRL0 .

Rodriguez, J., 2009. Urban land use and transportation. J. Rodrigue, C. Comtors and B. Slack (Eds). Geography of Transportation System. Simultaneously published in the USA and Canada by Routledge 711 Third Avenue, New York,  NY 10017 Routledge is an imprint of the Taylor & Francis Group, an Informa Business © 2006, 2009, 2013 Jean-Paul  Rodrigue, Claude Comtois and Brian Slack.

Rugoho, T. and B. Siziba, 2014. Rejected people: Beggars with disabilities in the City of Harare. Developing Countries Study, 4(26): 51-56. View at Google Scholar 

SPARC, 2012. Surviving the streets: A study of street children in Pakistan. Retrieved from www.sparcpk.org,Islamabad@sparcpk.org .

No any video found for this article.
Imran Khan (2018). The Impact of Land Use on Spatial Variations of Begging in District Lahore_Pakistan. International Journal of Geography and Geology, 7(2): 27-34. DOI: 10.18488/journal.10.2018.72.27.34
Begging has seen more critical social issue in most urban centers of developing states. The present study explores the relationship between begging and land use in District Lahore_Pakistan. This study is based both primary as well as secondary data. To determine the spatial variations of begging, well-developed questionnaires were designed to get relevant information from randomly selected beggars. The study which used z-score to compare the concentration of begging in the study area verified that the occurrence of begging is a function of land use activities. It recommends that more research works should be done on the problem of begging to observe more relationships between begging, land uses and other social issues such as urbanization, socio-economic background, poverty and culture.
Contribution/ Originality
This study used a new technique of GIS hot spot analysis through which different hot spots and cold spots of beggars were explored. This study is one of very few studies which have investigated and verified a relationship between begging and different land use.