Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the Geothermal Play Fairway Analysis of the Appalachian Basin (GPFA-AB) Thermal Quality Analysis (GDR repository 879: https://gdr.openei.org/submissions/879). This dataset improves upon the GPFA-AB dataset by considering several additional uncertainties in the temperature-at-depth calculations, including geologic properties and thermal properties. A Monte Carlo analysis of these uncertain properties and the GPFA-AB estimated surface heat flow was used to predict temperatures at depth using a 1-D heat conduction model. In this data submission, temperatures are provided for depths from 1-5 km in 0.5 km increments. The mean, standard deviation, and selected quantiles of temperatures at these depths are provided as shapefiles with attribute tables that contain the data. Rasters are provided for the mean and standard deviation data. Figures and maps that summarize the data are also provided. For the pixel corresponding to Cornell University, Ithaca, NY, a .csv file containing the 10,000 temperature-depth profiles estimated from the Monte Carlo analysis is provided. These data are summarized in a figure containing violin plots that illustrate the probability of obtaining certain temperatures at depths below Cornell.

本数据集包含矢量形状文件（shapefile）与栅格数据（raster），用于汇总阿巴拉契亚盆地所辖纽约州、宾夕法尼亚州与西弗吉尼亚州的深部温度随机分析成果。本分析对《阿巴拉契亚盆地地热有利区带分析（GPFA-AB）热质量分析》（GDR仓库编号879：https://gdr.openei.org/submissions/879）中提供的深部温度图进行了更新。相较于GPFA-AB数据集，本数据集在深部温度计算过程中纳入了更多不确定性因素，涵盖地质属性与热物性参数。研究采用一维热传导模型（1-D heat conduction model），对上述不确定性属性以及GPFA-AB估算的地表热流开展蒙特卡洛分析（Monte Carlo analysis），以此预测深部温度。本次数据提交成果提供了1km至5km、以0.5km为间隔的各深度对应的温度数据。各深度温度的均值、标准差与指定分位数以附带属性表的矢量形状文件形式提供，属性表中包含对应数据。均值与标准差数据则以栅格数据形式提供。本数据集还附带用于汇总数据的图表与地图。针对纽约州伊萨卡市康奈尔大学所在的栅格像素点，本数据集附带一份.csv文件，其中包含通过蒙特卡洛分析估算得到的10000条温度-深度剖面数据。上述数据已通过小提琴图进行可视化汇总，用以展示康奈尔大学下方特定深度下获取对应温度的概率分布。