Slip-deficit estimation with a 3D fault model of the North Anatolian Fault by using InSAR time series

Author(s):  
Alison Seidel ◽  
Henriette Sudhaus

<p>Crustal earthquakes are events of sudden stress release throug­h rock failure, for example as a consequence of continuous and long-term stress buildup at tectonic faults that eventually exceeds the strength of rock. Before failure, under increasing stress at a fault, the surrounding crust is slowly deforming. The amount and pattern of crustal deformation carries information about location and potential magnitude of future earthquakes.</p><p>Time series of space-borne interferometric Synthetic Aperture Radar (InSAR) data can be used to precisely measure the surface motion, which corresponds to the crustal deformation, in the radar line-of-sight and across large areas. These observations open the opportunity to study fault loading in terms of location, size of locked parts at faults and their slip deficit. Here we study the North Anatolian Fault (NAF), a major right-lateral strike-slip fault zone of about 1500 km length in the north of Turkey and we create its first large-scale 3D finite-fault model based on InSAR data.</p><p>We use the InSAR time series of data recorded by ESA’s Envisat SAR satellite between 2002 and 2010 (Hussain et al., 2018 and Walters et al., 2014).<!-- Das ist nicht ganz eindeutig formuliert. rigid motion darf nicht auf die InSAR Daten bezogen werden. --> We represent the fault with several vertical, planar fault segments that trace the NAF with reasonable resolution. The medium model is a layered half space with a viscoelastic lower crust and mantle. Several GNSS velocity measurements are used to apply a trend correction and calibrate the InSAR time series data to an Eurasia-fixed-reference frame. We use the plate motion difference of the Anatolian and the Eurasian plates calculated through an Euler pole to set up a back-slip finite-fault model. We then optimize the back-slip as the slip deficit, the width and the depth of the locked fault zone at each segment to achieve a good fit to the measured surface motion.</p><p>We find shallow locking depths and small slip deficits in the eastern and westernmost regions of the NAF, while the central part shows both deeper locking depths and larger slip deficits for the observation period. <!-- So wie es jetzt ist sind es zu viele Wörter, wenn man diesen erklär-Satz rausnehmen würde, würde es gerade so passen. Für die Erdbebenaktivität im Osten hab ich bis jetzt für den Zeitraum auch noch kein entsprechendes Paper gefunden, da suche ich aber noch. -->For both parameters the trends are in an overall agreement to earlier studies. There, InSAR-time series data have been used to calculate slip deficits at the North Anatolian fault with 2D models and/or assuming a homogeneous and purely elastic medium.<!-- Passt vom flow jetzt besser hier hin, denke ich. --> Local modeled differences therefore might be connected to differences in the modeling approaches, but also remain subject to further investigations and discussions.</p><p>Our model provides a very suitable basis for future time-dependent modeling of the slip deficit at the NAF that includes also more recent InSAR time series based on data from the Sentinel-1 radar satellite mission of ESA.</p>

2016 ◽  
Vol 73 (4) ◽  
pp. 589-597 ◽  
Author(s):  
Michael A. Spence ◽  
Paul G. Blackwell ◽  
Julia L. Blanchard

Dynamic size spectrum models have been recognized as an effective way of describing how size-based interactions can give rise to the size structure of aquatic communities. They are intermediate-complexity ecological models that are solutions to partial differential equations driven by the size-dependent processes of predation, growth, mortality, and reproduction in a community of interacting species and sizes. To be useful for quantitative fisheries management these models need to be developed further in a formal statistical framework. Previous work has used time-averaged data to “calibrate” the model using optimization methods with the disadvantage of losing detailed time-series information. Using a published multispecies size spectrum model parameterized for the North Sea comprising 12 interacting fish species and a background resource, we fit the model to time-series data using a Bayesian framework for the first time. We capture the 1967–2010 period using annual estimates of fishing mortality rates as input to the model and time series of fisheries landings data to fit the model to output. We estimate 38 key parameters representing the carrying capacity of each species and background resource, as well as initial inputs of the dynamical system and errors on the model output. We then forecast the model forward to evaluate how uncertainty propagates through to population- and community-level indicators under alternative management strategies.


2018 ◽  
Vol 40 (5-6) ◽  
pp. 1996-2013 ◽  
Author(s):  
Li Li ◽  
Qingling Kong ◽  
Pengxin Wang ◽  
Lan Xun ◽  
Lei Wang ◽  
...  

Author(s):  
Dewi Permatasari

Tinjauan kemiskinan dari dimensi ekonomi ini diartikan sebagai ketidakmampuan seseorang untuk mendapatkan mata pencaharian yang mapan dan memberikan penghasilan yang layak untuk menunjang hidupnya secara berkesinambungan. Kemiskinan merupakan salah satu masalah yang menjadi pusat perhatian di negara manapun. Kemiskinan disebabkan oleh berbagai faktor, seperti tingkat investasi yang masih dibawah standar, tingkat pengangguran yang tinggi, dan pertumbuhan ekonomi yang lambat. Tujuan penelitian ini adalah menganalisis pengaruh inflasi terhadap pengangguran dan kemiskinan, dan pengaruh pengangguran terhadap kemiskinan di Provinsi Maluku Utara. Penelitian ini menggunakan data runtun waktu (time series) tahun 2013-2018 dan menggunakan analisis jalur (path analysis). Hasil penelitian menunjukkan bahwa inflasi berpengaruh positif terhadap tingkat pengangguran dan kemiskinan di Provinsi Maluku Utara. Kemudian, pengangguran juga berpengaruh positif terhadap tingkat kemiskinan. Semakin tinggi tingkat inflasi dan pengangguran semakin besar tingkat kemiskinan.Kata kunci: Inflasi, Pengangguran, dan Kemiskinan, Maluku Utara Poverty review from the economic dimensions is interpretedas the inability of a person to obtain an established livelihood and provided a decent income to sustainably support life. Poverty is problems that attention any country. Poverty is caused by various factors, such as low investment, high unemployment, and slow economic growth. The purpose of this study was to analyze the effect of inflation on unemployment and poverty, and the effect of unemployment on poverty in North Maluku Provience. This study uses time series data from 2013 to 2018, and path analysis. The results showed that inflation has a positive effect on increasing unemployment and poverty. High unemployment has a positive impact on poverty levels. The higher level of inflation and unemployment, the higher poverty rate in the North Maluku Provience. Keywords: Inflation, Unemployment, Poverty, North Maluku


2021 ◽  
Vol 66 (3) ◽  
Author(s):  
Ekta Pandey

Attempts are made in this paper to investigate the trend of pulses in Eastern Uttar Pradesh, as well as their instability and non-linear model. This time series data on pulses pertains to the period 1980-1981 to 2014-15 and includes information on the area, production, and productivity of pulses. Pulses have had negative growth in terms of area, production, and productivity in all three zones of Eastern Uttar Pradesh, namely, the North Eastern plain zone, the Eastern plain zone, and the Vindhyan zone. Since 1980-81, there has been a rise in the area and output of pulses in the Vindhyan zone, as seen by the percentage change. The Eastern plain zone has the most stable pulse crop in terms of instability


2021 ◽  
Vol 13 (8) ◽  
pp. 1573
Author(s):  
Xiongwei Tang ◽  
Rumeng Guo ◽  
Jianqiao Xu ◽  
Heping Sun ◽  
Xiaodong Chen ◽  
...  

On 8 August 2017, a surface wave magnitude (Ms) 7.0 earthquake occurred at the buried faults extending to the north of the Huya fault. Based on the coseismic deformation field obtained from interferometric synthetic aperture radar (InSAR) data and a series of finite fault model tests, we propose a brand-new two-fault model composed of a main fault and a secondary fault as the optimal model for the Jiuzhaigou earthquake, in which the secondary fault is at a wide obtuse angle to the northern end of the main fault plane. Results show that the dislocation distribution is dominated by sinistral slip, with a significant shallow slip deficit. The main fault consists of two asperities bounded by an aftershock gap, which may represent a barrier. In addition, most aftershocks are located in stress shadows and appear a complementary pattern with the coseismic high-slip regions. We propose that the aftershocks are attributable to the background tectonic stress, which may be related to the velocity-strengthening zones.


2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston

Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.


2016 ◽  
Vol 136 (3) ◽  
pp. 363-372
Author(s):  
Takaaki Nakamura ◽  
Makoto Imamura ◽  
Masashi Tatedoko ◽  
Norio Hirai

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