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A Study on Modelling of Stomatal Conductance

气孔导度建模研究

基本信息

批准号：
09650649
负责人：
HIRAOKA Hisashi
金额：
$ 0.38万
依托单位：
KYOTO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1997
资助国家：
日本
起止时间：
1997 至 1998
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09650649/
关键词：
heat and water budget model within vegetation stomatal conductance neural networks Jarvis's model semi-empirical model photosynthetic model 気孔抵抗植物気孔重回帰分析

项目摘要

The goal of this research is to make a model that estimates a micro-climate of a green treat of land. A heat and water budget model within vegetation is required for such a model. A stomatal conductance model is included in the budget model as a sub-model. The object in this study is to make a model for stomatal conductance. The following is a summary of the results of this research.1. We reviewed the researches of stomatal conductance models. We clarified that stomatal conductance model were classified into two groups : a phenomenological method and a semi-empirical one. The phenomenological methods were still more classified into three groups : a linear multi-regression, Jarvis's model, and a nonlinear multi-regression using a neural network.(1) A linear multi-regression model is not applicable, since stomata respond extremely non-linearly to environment factors.(2) Jarvis's model is not applicable to incorporate an interaction of environmental factors.(3) Though the semi-empirical model utilizes a photosynthetic model, the model can not take account of the effect of leaf water potential on a stomatal response, at the present stage.2. We made a stomatal conductance model by using a neural network, We compared the model with Jarvis's model, which was usually used. We clarified that the present model was superior to Jarvis's model in accuracy.3. We investigated the cause of the superiority of the present model over Jarvis's one. It was that the present model could incorporate the interaction of environmental factors though Jarvis's model could not.

本研究的目的是建立一个估算绿色土地微气候的模型。这样一个模型的热量和水分收支模型内植被是必需的。气孔导度模型作为子模型包含在预算模型中。本研究的目的是建立一个气孔导度模型。以下是本研究结果的摘要。综述了气孔导度模型的研究进展。本文将气孔导度模型分为两类：现象学方法和半经验方法。现象学的方法更进一步分为三类：线性多元回归、贾维斯模型和使用神经网络的非线性多元回归。(1)由于气孔对环境因子的响应具有极强的非线性，因此不适用多元线性回归模型。(2)贾维斯的模型不适用于纳入环境因素的相互作用。(3)半经验模型虽然采用了光合模型，但在现阶段，该模型不能考虑叶水势对气孔响应的影响.本文利用神经网络建立了气孔导度模型，并与目前常用的Jarvis模型进行了比较。我们澄清了本模型在准确性上上级贾维斯的模型。3.我们调查了本模型优于贾维斯模型的原因。这是目前的模式可以纳入环境因素的相互作用，虽然贾维斯的模型不能。