Faculty of Engineering, Department of Geomatics Engineering, Mersin University, 33100, Mersin, Turkey.
Environ Monit Assess. 2021 Mar 10;193(4):174. doi: 10.1007/s10661-021-08962-x.
Konya, which is located within the Konya Closed Basin, is the most important agricultural production region in Turkey. The future of agriculture is threatened in this region due to the decline in groundwater levels and the intensive agricultural activities that require high water consumption and are not suitable to the climate conditions of the region. In addition to these parameters, the geological structure of Konya also poses various environmental problems such as land subsidence and sinkhole formation. This study aimed to investigate the causes of the land subsidence problem in Konya and its surroundings with the help of the interferometric synthetic aperture radar (InSAR) technique and auxiliary data, namely optic, Coordination of Information on the Environment (CORINE), and groundwater monitoring station data. In order to investigate the land subsidence in the study area, 58 Sentinel-1A images acquired between 2014 and 2018 were processed by using the small baseline subset (SBAS) technique. In addition, the time series derived from the SAR data was validated by a global navigation satellite system (GNSS) station located in the study area. The results revealed that severe land subsidence, some of which reached 75 mm/year, occurred in certain areas of the study area over a period of three and a half years. High consistency was found between the land subsidence and the groundwater level change observed in the region, with a cross-correlation of over 95%. Moreover, the temporal and spatial patterns of the cultivated area and urbanization, which are the main reasons for the consumption of groundwater in the region, were revealed using the optic data.
科尼亚位于科尼亚封闭盆地内,是土耳其最重要的农业生产区。由于地下水位下降和需要大量水资源且与该地区气候条件不匹配的集约化农业活动,该地区的农业前景受到威胁。除了这些参数外,科尼亚的地质结构还造成了各种环境问题,如地面沉降和陷坑形成。本研究旨在借助干涉合成孔径雷达(InSAR)技术和辅助数据(即光学、环境信息协调(CORINE)和地下水监测站数据),研究科尼亚及其周边地区地面沉降的原因。为了研究研究区域的地面沉降,利用小基线子集(SBAS)技术对 2014 年至 2018 年间获取的 58 景 Sentinel-1A 影像进行了处理。此外,通过位于研究区域的全球导航卫星系统(GNSS)站对 SAR 数据得出的时间序列进行了验证。结果表明,在三年半的时间内,研究区域的某些地区发生了严重的地面沉降,有些地区的沉降速度达到了 75 毫米/年。地面沉降与该地区观测到的地下水位变化之间存在高度一致性,相关系数超过 95%。此外,还利用光学数据揭示了该地区地下水消耗的主要原因,即耕地和城市化的时空格局。