| 基于GIS的方向异性地形起伏度的地理日照时数计算 |
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| 引用本文： | 李传华,赵军.基于GIS的方向异性地形起伏度的地理日照时数计算[J].地理科学进展,2012,31(10):1334-1340. |
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| 作者姓名： | 李传华 赵军 |
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| 作者单位： | 西北师范大学地理与环境科学学院, 兰州730070 |
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| 基金项目： | 西北师范大学青年教师科研能力提升计划项目(NWNU-LKQN-11-30) |
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| 摘 要： | 地形起伏是对日照形成遮挡的重要因素之一。随着太阳的运行, 相同的地形起伏在不同方位对日照的影响不同。基于此思想, 讨论了基于方向异性的地形起伏度的地理日照时数的计算, 并以全国634 个气象台站为对象, 推导了关于地形起伏度的地理日照经验模型。结果表明, 模型具有很好的拟合精度, 回归系数R2为0.841。由经验模型计算得到的全国地理日照时数与理论模型计算得到的日照时数, 两者相关系数为0.953。此模型只需地形起伏度便可计算地理日照时数, 参数简单易获取。气象站点坐标固定, 一定范围内地形起伏度也是一个定值, 地形起伏度可以作为站点计算地理日照的固定参数, 推广也较方便。
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| 关 键 词： | 地理日照时数 方向异性地形起伏度 经验模型 中国 |
| 收稿时间： | 2012-04-01 |
| 修稿时间： | 2012-06-01 |
Calculation of Geographic Sunshine Hours Based on Direction Nonidentity Relief Degree by GIS |
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| LI Chuanhua,ZHAO Jun.Calculation of Geographic Sunshine Hours Based on Direction Nonidentity Relief Degree by GIS[J].Progress in Geography,2012,31(10):1334-1340. |
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| Authors: | LI Chuanhua ZHAO Jun |
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| Institution: | College of Geography and Environment Science, Northwest Normal University, Lanzhou 730070, China |
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| Abstract: | Relief is the essence of shade for sunshine.With the solar movement,the same relief can have a different influence on sunshine in different directions.According to this idea,this article discusses a computation about geographic sunshine hours based on direction nonidentity and takes 634 weather stations as an example to educe geographic sunshine hours empirical model about relief,which is Hourt=0.866 Rr+131.3].The result shows that the model has good fitting accuracy and the regression coefficient is 0.841.The correlation coefficient of geographic sunshine hours calculated by empirical and theoretical models is 0.953.The model needs only one parameter,relief degree,which is simple and easy to obtain.Weather station’s position is a fixed value,whose relief degree is also a constant within a certain range.And the relief degree can be used as an invariable geographical parameter for weather stations.So the model can be used widely in the future. |
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| Keywords: | direction nonidentity relief degree geographic sunshine hours empirical model China |
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