Analysis of spatial correlation between the phenomenon land subsidence and rob (tidal inundation) using sentinel-1 SAR, GPS and geological data in Semarang city-Indonesia

Abstract

Semarang city is the capital of Central Java province that is experiencing growth and rapid urban growth. But as the development, Semarang indicated experiencing the phenomenon of land subsidence. This happens because the geological structure of the city of Semarang is formed of young alluvial deposits in which still allows the compaction can cause ground subsidence. In addition, groundwater extraction also contributed in the process of land subsidence in the city of Semarang. Other problems are more widespread and increasing phenomenon of tidal inundation (rob) in some areas that were previously normal. The phenomenon of land subsidence and inundation becomes one inhibiting the rate of development progress Semarang. This study aimed to explore the spatial correlation between the appearances of the widespread phenomenon of robs inundation to the level of land subsidence in the area of Semarang. Hypotheses are constructed in this study that the increasing value of land subsidence will provide significant implications for the spread of rob area in the city of Semarang. The method used is the analysis of the spatial correlation between the data processing results of sentinel-1 SAR using DINSAR method between the years 2015-2016, GPS observation data between the years 2015-2016 and geological data in the form of hydrogeology, underground and ground rock distribution also geology structure data. These data are processed simultaneously, including a compilation of the field validation method for determining the distribution of rob inundation and anticipates the new rob area. The results are analyzed in a spatial to see whether the emergence of a new robs area has a significant correlation to the increase in value of land subsidence in that area. In general, the land subsidence in Semarang based methods DINSAR and GPS ranges around 0.07 to 0.21 m/yr with standard deviation around 0.03 m. Expected results of this study can help Semarang city governments in anticipation of widespread rob due to the increasing value of land subsidence in Semarang.