A Study of Active Chaman Fault System (CFS) using SRTM DEM

Author:

Abuzar Khubaib1,Batool Saira2,Amer Areeba3,Mahmood Syed Amer4,Arif Hania5,Waseem Asad4,Talib Bushra6,Shahazad Muhammad7,Aslam Rana Muhammad Sohail4

Affiliation:

1. University of Sindh Jamshoro

2. Center For Integrated Mountain Research (CIMR), University of the Punjab, Lahore.

3. Wuhan University China

4. Department of Space Science, University of the Punjab, Lahore

5. Centre For Integrated Mountain Research (CIMR) University of the Punjab Lahore

6. Department of Technology & engineering, University of the Lahore

7. Department of Computer Science (PUCIT), University of Punjab.

Abstract

Chaman fault is a seismically active fault running over 850km in western region of Pakistan and Afghanistan. It is a major geological structure between Indian and Eurasian plates. Chaman fault is a strike slip fault which is slipping nearly at the rate of 10mm per year. This research includes the evaluation of lithological processes and neotectonics activity using Hypsometric Integral (HI). We calculated values of hypsometric integral using SRTM DEM with 90m spatial resolution in active region of Chaman Fault (CF) and in its locality. We analyzed different mean, minimum and maximum elevations using regular square grids and measured the degree of spatial distribution of HI using Local Indices (LI) of Spatial Autocorrelation (LISA). LISA provides auto correlation for the cluster analysis of hotspots and cold spots of HI values to discriminate uplifted and eroded regions.

Publisher

50Sea

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference22 articles.

1. Apel, E.R., Burgmann, P., Bannerjee, and B. Nagarajan, 2006, “Geodetically constrained Indian plate motion and implications for plate boundary deformation”, in American Geophysical Union, Fall Meeting 2006.

2. Abdullah, S., and V.M. Chmyriov, Map of mineral resources of Afghanistan: Ministry of Mines and Industries of the Democratic Republic of Afghanistan, Department of Geological and Mineral Survey, 1977.

3. Amrhein, C., and H. Reynolds, “Using the Getis statistic to explore method aggregation effects in metropolitan Toronto census data”, Canadian Geographer, Vol 41, issue 2, pp : 137-149, 1997.

4. Andermann, C., and R. Gloaguen, “Estimation of erosion in tectonically active orogenies.Example from the Bhotekoshi catchment, Himalaya (Nepal)”, International Journal of Remote Sensing, Vol 30, issue 12, pp; 3075-3096, 2009.

5. Anselin, L., “Local indicators of spatial association-LISA”, Geographical Analysis, Vol 27, issue 2, pp: 93-115, 1995.

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