土地变形的时空空间动态演变是由湖周围的水文信号驱动的
Tingye Tao1, Ju Dai1, Zichen Song1
1College of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Sensors (Basel, Switzerland)
|February 24, 2024
概括
由于水负载增加,大雨导致土地沉降. 全球导航卫星系统 (GNSS) 的数据有效监测这种水文负载和土地变形,这对水资源管理至关重要.
科学领域:
- 地质物理学 地质物理学
- 水文学的水文学
- 地质测量是指地质测量.
背景情况:
- 极端气候事件,如暴雨,增加陆地储水 (TWS),导致土地沉降通过水文负载.
- 传统的使用GRACE数据的TWS监测对小地区有局限性.
- 了解降雨引起的土地变形对于区域水资源管理和基础设施安全至关重要.
研究的目的:
- 用水文信号调查大雨造成的Chaohu湖地区土地沉降情况.
- 分析水资源变化与全球导航卫星系统 (GNSS) 垂直移位之间的相关性.
- 通过使用不同的环境负载变形模型来验证研究结果.
主要方法:
- 利用水位和流量数据作为沉降分析的水文信号.
- 使用Pearson的相关系数来评估水资源和GNSS垂直移位之间的关系.
- 应用了确定系数的方法来对各种机构模型验证结果.
主要成果:
- 大气负荷的垂直移位超过了非潮海洋负荷的垂直移位,影响趋势相反.
- 湖地区水文负载的增加导致更近的GNSS站 (例如CHCH) 的沉降率高于更远的GNSS站 (例如LALA).
- 垂直位移和水位之间的皮尔森相关系数达到-0.80和-0.64,证实了弹性变形原理.
结论:
- 在监测短期水文负载和土地变形方面,GNSS是有效的.
- 来自各种模型的变形趋势与GNSS监测一致,尽管存在系统偏差.
- 该研究提供了关于大雨期间土地变形的时空演变的宝贵见解,有助于水资源管理和基础设施维护.
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