Fernández-Cortés A, Calaforra J M, Jiménez-Espinosa R, Sánchez-Martos F
Department of Hydrogeology and Analytical Chemistry, University of Almería, 04120, Almería, Spain.
J Environ Manage. 2006 Dec;81(4):371-83. doi: 10.1016/j.jenvman.2005.11.011. Epub 2006 Apr 18.
Air temperature in several galleries of the Covadura System (Sorbas Gypsum Karst, Almería) was measured at monthly intervals over a period of 1 year. The spatial temperature distribution for each month was modeled in a geostatistical framework. The mean trend of the air temperature and the difference between each experimental temperature measurement and this trend were calculated over space and time. Both the trend and residual component were characterized using a geostatistical space-time model. A large spatial trend of the air temperature was found due to the orientation of galleries within the cave system and as a function of the distance from the main cave entrance. Kriging was used for the spatial estimation of the time covariance of the residuals. This enabled the delimitation of the cave into three zones of varying environmental risk in the event of being opened to visits by the public, according to the degree of stability of air temperature over space and time. The influence of human presence on the spatial temperature distribution was assessed using data collected during a year (2000/2001) in pilot galleries opened to the public. An average visit corresponding to August was selected comprising 16 people over a period of 53 min. This average visit influenced the spatial temperature pattern at distances of more than 90 m from the cave entrance, according to the geostatistical model adopted. Within this zone the mean thermal increment generated by human presence was estimated to be 0.26 degrees C. The spatiotemporal mathematical model of the cave air temperature has been revealed as a useful tool for the environmental management of show caves.
在科瓦杜拉系统(阿尔梅里亚省索尔巴斯石膏岩溶地区)的几个廊道中,每隔一个月测量一次气温,为期一年。在地质统计学框架内对每个月的空间温度分布进行建模。计算了气温的平均趋势以及每个实验温度测量值与该趋势之间的差值,并考虑了空间和时间因素。趋势和残差分量均使用地质统计学时空模型进行表征。由于洞穴系统内廊道的走向以及与主洞穴入口距离的函数关系,发现气温存在较大的空间趋势。使用克里金法对残差的时间协方差进行空间估计。这使得根据气温在空间和时间上的稳定程度,在洞穴向公众开放的情况下,能够将洞穴划分为三个不同环境风险区域。利用在向公众开放的试点廊道中一年(2000/2001年)收集的数据,评估了人类活动对空间温度分布的影响。选择了对应于8月的一次平均参观,在53分钟内有16人。根据所采用的地质统计学模型,这次平均参观对距离洞穴入口超过90米处的空间温度模式产生了影响。在该区域内,估计人类活动产生的平均热增量为0.26摄氏度。洞穴气温的时空数学模型已被证明是用于展示洞穴环境管理的有用工具。