暖通空调>期刊目次>2024年>第12期

中国大陆地区深度1 000 m以内地温基础数据库的建立

Establishment of a geothermal basic database within 1 000 m in Chinese mainland

袁小晴[1] 肖益民[1] 连九勇[2] 李 刚[2] 马梦茹[1]
[1]重庆大学,重庆[2]96911部队,北京

摘要:

通过对已发布的中国大陆地区共1 451个地温测点实测数据的整理分析,基于ArcGIS平台建立了地温测点信息数据库,可输入任意地理坐标,查询该坐标点指定范围内的测点信息。在ArcGIS平台利用已有测点数据,应用普通克里金(Kriging)插值法在整个中国大陆地区进行空间插值,得到100 m空间分辨率的大地热流预测值与深度1 000 m以内的地温梯度预测值,并将预测值补充到数据库中,形成了完整的地温基础数据库,可用于查询任意地点的热流值与深度1 000 m以内的地温梯度值。探讨了影响地温分布的主要因素,为修正地温基础数据提供参考。该数据库可为地热利用系统及地下工程热湿环境控制系统设计提供基础数据支撑。

关键词:地温基础数据库;地温梯度;大地热流值;普通克里金(Kriging)插值法;地下工程;地热利用

Abstract:

Through sorting out and analysing the measured data of 1 451 geothermal measuring points published in the Chinese mainland, an information database of geothermal measuring points is established based on ArcGIS platform. Any geographical coordinates can be input to query the information of measuring points within the specified range of the coordinate points. Using the existing measuring point data on ArcGIS platform, the general Kriging interpolation is applied to carry out spatial interpolation in the whole Chinese mainland area to obtain the geothermal heat flow prediction values with a spatial resolution of 100 m and the geothermal gradient prediction values within 1 000 m. The prediction values are added to the database to form a complete geothermal basic database which can be used to query the heat flow values at any place and the geothermal gradient values within 1 000 m. The main factors affecting the geothermal distribution are discussed, providing a reference for correcting the geothermal basic data. This database can provide basic data support for the design of geothermal utilization systems and underground engineering hot and humid environment control systems.

Keywords:geothermal basic database; geothermal gradient; geothermal heat flow value; general Kriging interpolation; underground engineering; geothermal utilization

    你还没注册?或者没有登录?这篇期刊要求至少是本站的注册会员才能阅读!

    如果你还没注册,请赶紧点此注册吧!

    如果你已经注册但还没登录,请赶紧点此登录吧!