冬青栎树干液流预测数据

可以用于预测冬青栎液流值,输入温度、大气压亏缺、风速、相对湿度，输出为液流值。该模型帮助解决了冬青栎液流和相关环境指标的关系建模的问题。将采集的数据使用传统算法，多元线性回归算法等方式以预测用于冬青栎液流值预测。该模型通过输入温度、大气压亏缺、风速、相对湿度等，来输出预测的冬青栎液流。温度ta，相对湿度rh，大气压亏缺vpd，短波sw_in，风速ws，降雨量precip，光合光通量密度ppfd_in，净辐射netrad，浅层土壤含水量swc_shallow，辐射ext_rad，液流值FRA_PUE_Qil_Js_13。

This model is designed for predicting the sap flow value of Quercus ilex. It takes temperature, atmospheric pressure deficit, wind speed and relative humidity as inputs, and outputs the predicted sap flow value. This model addresses the challenge of modeling the relationship between Quercus ilex sap flow and relevant environmental indicators. Collected field data is processed using traditional algorithms such as multiple linear regression to support the development of this prediction model. The model generates the predicted sap flow of Quercus ilex based on input parameters including temperature, atmospheric pressure deficit, wind speed and relative humidity. The variables involved in this dataset are: temperature (ta), relative humidity (rh), atmospheric pressure deficit (vpd), shortwave radiation (sw_in), wind speed (ws), precipitation (precip), photosynthetic photon flux density (ppfd_in), net radiation (netrad), shallow soil water content (swc_shallow), radiation (ext_rad), and sap flow value (FRA_PUE_Qil_Js_13).

搜集汇总

数据集介绍

特点

该数据集为冬青栎树干液流预测数据，包含多种环境指标和液流值记录，规模为17520条，每年更新，用于预测冬青栎液流值及相关环境指标的关系建模。