JpGU-AGU Joint Meeting 2017

講演情報

[EE] ポスター発表

セッション記号 A (大気水圏科学) » A-HW 水文・陸水・地下水学・水環境

[A-HW33] [EE] Human-Natural system interactions and solutions for environmental management

2017年5月20日(土) 13:45 〜 15:15 ポスター会場 (国際展示場 7ホール)

コンビーナ:Yuei-An Liou(National Central University)

[AHW33-P05] Integrating remote sensing and in-situ data to delineate vulnerable groundwater recharge areas in urban cities of Taiwan

*Jung-Jun Lin1,2,3Yuei-An Liou1,2Chien-Chung Ke3Su-Yun Chi3 (1.Graduate Institute of Space Science, National Central Univ.、2.Taiwan Group on Earth Observations、3.Geotechnical Engineering Research Center, Sinotech Engineering Consultants, Inc.)

キーワード:vulnerable groundwater recharge, geologic drilling, soil moisture, land cover

Stream sediments are transported from mountainous regions to lower terrains before their deposition in the coastal alluvial plains. Since stream gradient and potential groundwater recharge are relatively high in upper stream of alluvial systems, it is critical to develop conservation policies to delineate and protect the vulnerable groundwater recharge areas (VGRAs) for sustainable management of surface and groundwater resources. Even though VGRAs are relatively small in Taiwan, human activities have gradually spread over the VGRAs as a result of urbanization. To address the critical issues about VGRAs linking to urbanization, three cities in the western plains of Taiwan are chosen, including Taichung, Jiayi, and Tainan cities, as study areas. This study integrates remote sensing data and in-situ geologic drilling to delineate the VGRAs in both regional and local scales. Drilled hydrogeological frameworks are implemented with auxiliary soil moisture and land cover derived from MODIS and Landsat images as indicators. Preliminary results show that in-situ groundwater quality and quantity data in delineated VGRAs conform the characteristic of groundwater recharge. Findings of this study provide a possible solution to protect the human-natural system in developing urban and alluvial plains.