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最小二乘法曲线拟合在温室效应研究中的应用
引用本文:韩振林,张永兴,王洪黎. 最小二乘法曲线拟合在温室效应研究中的应用[J]. 工程地球物理学报, 2008, 5(6): 724-726
作者姓名:韩振林  张永兴  王洪黎
作者单位:河南省地质矿产勘查开发局第一地质勘查院,南阳,473003;山西省地质矿产勘查开发局217地质队,大同,037008
摘    要:通过对1860年到1980年的11个地球平均温度增加值的分析,利用数学中的最小二乘法进行曲线拟合,通过精确计算,建立了地球平均温度增加值与时间之间的函数关系。得出在2080年左右,地球的平均温度会比1980年上升约6℃,从而引起了诸如冰川后退、海平面上升等一系列严重的环境问题。到时极地冰盖就会融化,从而引起大量的洪水泛滥和大片的陆地被淹没,这一认识对进行环境质量评价和提出保护地球的措施具有重要的理论意义。

关 键 词:温室效应  最小二乘法  曲线拟合

Application of Least Square Modeling in the Study on Greenhouse Effect
Han Zhenlin,Zhang Yongxing,Wang Hongli. Application of Least Square Modeling in the Study on Greenhouse Effect[J]. Chinese Journal of Engineering Geophysics, 2008, 5(6): 724-726
Authors:Han Zhenlin  Zhang Yongxing  Wang Hongli
Affiliation:Han Zhenlin1,Zhang Yongxing2,Wang Hongli1
Abstract:With 11 discrete data of average increasing temperatures of the earth occurring from 1860 to 1980, an empirical model has been established through the use of least square modeling algorithm to predict the increase of earth temperature. This model predicts that the average earth temperature will approximately increase 6"C by the time around 2080, compared with the average earth temperature in 1980. As a result, this would lead to a series of severe environmental problems such as the retreat of glaciers and the increase of sea --level, and even further cause natural disasters such as heavy flood and disappearance of coast land. The creation of this model is significant in terms of environmental evaluation and environmental protection.
Keywords:greenhouse effect  least square modeling  curve fitness
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