Published in: Eleventh National Congress on Civil Engineering
COI code: NCCE11_187
Paper Language: English
How to Download This Paper
For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.
Authors Time Series Analysis of InSAR Data to Monitor Quantitative Changes in Land Subsidence RateAtefe Choopani, - Graduated in Remote Sensing from the Dept. of Civil and Environmental Engineering, School of Engineering, Shiraz University, Iran
Maryam Dehghani, - Associate Prof. of the Dept. of Civil and Environmental Engineering, School of Engineering, Shiraz University, Iran
Mohammad Reza Nikoo - Associate Prof. of the Dept. of Civil and Environmental Engineering, School of Engineering, Shiraz University, Iran
Abstract:Despite the fact that about 1.7 percent of total water on the earth is groundwater, it is one of the most essential resources for agriculture, manufacturing and drinking applications. Excessive extraction of groundwater resources for irrigation of pistachio gardens has resulted a significant subsidence in Sirjan Basin, Kerman, Iran. Subsidence phenomena can pose a threat to the security of people and governments. Subsidence not only threatens stability and strength of man-made structures, but also decreases significantly the aquifer capacity to store water. In this study, Interferometric Synthetic Aperture Radar (InSAR) technique is used to estimate deformation time series in two different periods from 2004 to 2010 and during 2017 using both ENVISAT ASAR and Sentinel-1 radar imageries. The Small Baseline Subset (SBAS) time series analysis in which the processed interferograms are characterized by small spatial and temporal baselines are employed. There are 12 ENVISAT ASAR images and 9 Sentinel-1 images from the descending orbit. Two different subsidence velocity maps are calculated based on two datasets. The maximum subsidence rate obtained from ENVISAT ASAR data is estimated as 28 cm/yr while this is 17 cm/yr for the Sentinel-1 data. Comparing two displacement time series results, it is found that surface displacement rate in 2017 has been decreased in some places compared to that one obtained in the ENVISAT ASAR acquisition period probably due to less over-exploitation of groundwater. Moreover, the spatial pattern of the subsidence indicates that a significant part of residential areas suffers from high-rate deformation which may be a cause for concern.
Keywords:Groundwater Resources, InSAR, Sirjan Plain, Subsidence, Time Series Analysis
COI code: NCCE11_187
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Choopani,, Atefe; Maryam Dehghani, & Mohammad Reza Nikoo, 2019, Time Series Analysis of InSAR Data to Monitor Quantitative Changes in Land Subsidence Rate, Eleventh National Congress on Civil Engineering, شيراز, دانشگاه شيراز, https://www.civilica.com/Paper-NCCE11-NCCE11_187.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Choopani,, Atefe; Maryam Dehghani, & Mohammad Reza Nikoo, 2019)
Second and more: (Choopani,; Dehghani, & Nikoo, 2019)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)
The University/Research Center Information:
Type: state university
Paper No.: 16020
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.
Research Info Management
Export Citation info of this paper to research management softwares
New Related Papers
- Innovating Regional and Environmental Planning in Germany From Industry to Innovation – from Grey to GreenTitle
- High turbid water by polyaluminum ferric chloride (PAFCl)
- MAZDAK** a community based intervention model for promotion of children home safety in Tehran
- Motorcyclist risky riding behaviors and its predictors in an Iranian population
- Predictability of car users’ mortality by type of crash counterpart vehicle: a study based on Forensic Medicine Data in Iran, 2006-2014
The Above articles are recently indexed in the related subjects
Iran Scientific Advertisment Netword
Share this paper
WHAT IS COI?
COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.