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浙江大学学报(理学版)  2019, Vol. 46 Issue (2): 215-226    DOI: 10.3785/j.issn.1008-9497.2019.02.009
地球科学     
我国地理可照时数空间分布模拟中尺度效应研究
李军1,2,3, 黄敬峰4, 龚围1, 王超1, 李冰1
1.重庆师范大学地理与旅游学院,重庆 401331
2.重庆市高校 GIS 应用研究重点实验室,重庆 401331
3.三峡库区地表过程与环境遥感重庆市重点实验室,重庆 401331
4.浙江大学农业遥感与信息技术研究所,浙江杭州 310029
Study on spatial scale effect of DEM resolution on spatial simulation of duration of possible sunshine in China.
Jun LI1,2,3, Jingfeng HUANG4, Wei GONG1, Chao WANG1, Bing LI1
1.College of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China
2.Key Laboratory of GIS Application of Chongqing, Chongqing 401331, China
3.Chongqing Key Laboratory of Earth Surface Processes and Environmental Remote Sensing in Three Gorges Reservoir Area, Chongqing 401331, China
4.Institute of Agricultural Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310029, China
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摘要: 不同空间分辨率的DEM会对地理可照时数模拟结果产生显著影响。为了分析DEM尺度效应对我国不同区域地理可照时数的影响,选取小兴安岭、太行山区、秦岭、青藏高原弧形山区、横断山区和东南丘陵6个实验区,基于3种空间分辨率的DEM和地理可照时数分布式模型,利用GIS的多层面复合分析功能,模拟了典型月份不同空间尺度的地理可照时数,定量分析了典型地形因子与模拟结果的关系,并探讨了DEM尺度效应的影响。研究结果表明:(1)我国地理可照时数差异明显,1月、7月及其差异主要受剖面曲率、海拔、纬度、地形阴影和地形起伏度等因子的影响;(2)我国地理可照时数与典型地理和地形因子之间极显著相关,复相关系数在0.610 0~0.804 3,正相关因子为海拔高度和水平曲率,负相关因子为坡度、地形起伏度、剖面曲率和地表粗糙度;(3)不同地形因子的空间尺度效应存在差异,平面曲率和剖面曲率均非常敏感,坡度和地形起伏度次之,海拔、地表粗糙度和地形阴影相对较弱;(4)地理可照时数模拟结果随空间分辨率的减小而增大,1月增幅在8.2%~38.9%,7月增幅在5.9%~17.6%,标准差和冬夏季节差异值均随空间分辨率的减小而减小,空间异质性明显降低。
关键词: 地理可照时数尺度效应数字高程模型空间分布模拟    
Abstract: The effect of digital elevation model (DEM) with different spatial resolution ratios causes great uncertainty to the numerical simulation of duration of possible sunshine (PSD). To analyze the spatial-scaling effect on PSD in China, 6 typical terrain areas were selected and their spatial distribution of PSD with three spatial resolutions (30 m, 90 m, and 900 m) in January and July were calculated using a distributed statistical model and DEM data derived from Aster GDEM, SRTM and GTOPO30′, respectively. The influence of spatial scale effect of DEM resolution on simulation results were compared and analyzed. The results show that: (1) Due to the effect of terrain factors, the difference of spatial distribution of PSD is significant in China. The average value of PSD in January, July and their difference were mainly affected by some terrain factors, such as profile curvature, elevation, latitude, hill shade, and topographic relief. (2) The correlation between PSD and terrain factors was extremely significant in China. The multiple correlation coefficient varied from 0.610 0 to 0.804 3. There was a positive correlation between PSD and elevation and plan curvature. But PSD had significant negative correlation with slope, topographic relief, profile curvature, and surface roughness, respectively. (3) Different terrain factors derived from DEM with three spatial resolution had a different degree of scale effect. For example, plan curvature and profile curvature were very sensitive to spatial resolution, while slope and topographic relief were secondary. The spatial scale had relatively weak effect on elevation, surface roughness, and hill shade. (4) The mean value of PSD in study areas increased with the decrease of spatial resolution. The increase range of PSD was from 8.2% to 38.9% in January, while from 5.9% to 17.6% in July. However, the standard deviation and difference of PSD in January and July decreased with the decrease of spatial resolution. Moreover, the spatial heterogeneity of PSD decreased obviously.
Key words: duration of possible sunshine    spatial scale effect    digital elevation model    spatial distribution simulation
收稿日期: 2017-11-24 出版日期: 2019-03-25
CLC:  P 422.1  
基金资助: 国家重庆市前沿与应用基础研究计划一般项目(cstc2015jcyjA0332);国家自然科学基金资助项目(51308575) ;中国科学院重点部署项目(KZZD-EW-TZ-18).
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引用本文:

李军, 黄敬峰, 龚围, 王超, 李冰. 我国地理可照时数空间分布模拟中尺度效应研究[J]. 浙江大学学报(理学版), 2019, 46(2): 215-226.

Jun LI, Jingfeng HUANG, Wei GONG, Chao WANG, Bing LI. Study on spatial scale effect of DEM resolution on spatial simulation of duration of possible sunshine in China.. Journal of ZheJIang University(Science Edition), 2019, 46(2): 215-226.

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https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2019.02.009        https://www.zjujournals.com/sci/CN/Y2019/V46/I2/215

1 ZUOD K.Dictionary of Modern Geography [M]. Beijing: The Commercial Press, 1990.
2 WENGD M, LUOZ X.Topographical Climate in Mountainous Areas[M]. Beijing: China Meteorological Press, 1990.
3 China Meteorological Administration.Assessment Method for Solar Energy Resource:QX/T89-2008[S]. Beijing: China Meteorological Press, 2008.
4 FUB P.Climate in Mountainous Areas[M]. Beijing: Science Press, 1983.
5 FUB P, YUJ M, LUQ Y.Climate Sources,Development and Utilization in Mountainous Areas[M]. Nanjing: Nanjing University Press, 1996.
6 ZHUZ H.Equal insolation duration and equal sunshine azimuth[J]. Science in China(Ser B), l987(12): 1340-1347.
7 LIZ Q, WENGD M.A computer model to determine topographic parameters[J]. Acta Geographica Sinica, 1987 (17): 1333-1335.DOI:10.11821/xb198703009
8 DOZIERJ, OUTCALTS I.An approach to energy balance simulation over rugged terrain[J]. Geographic Analysis, 1979, 11(1): 65-85,271.DOI:10.1111/j.1538-4632.1979.tb00673.x
9 BOCQUETG.Method of study and cartography of the potential sunny periods in mountainous areas[J]. Journal of Climatology, 1984, 1(4): 587-596.DOI:10.1002/joc.3370040603
10 DUBAYAHR, DOZIERJ, DAVISW F.Topographic distribution of clear sky radiation over the Konza Prairie, Kansas[J]. Water Resources Research, 1990, 26(4): 679-690.DOI:10.1029/wr026i004p00679
11 DOZIERJ, FREWJ.Rapid calculation of terrain parameters for radiation modeling from digital elevation data[J]. IEEE Transaction on Geoscience and Remote Sensing, 1990, 28(5): 963-969.DOI:10.1109/36.58986
12 HETRICKW A, RICHP M, BARNESF J, et al.GIS-based solar radiation flux models[J]. American Society for Photogrammetry and Remote Sensing Technical Papers, GIS Photogrammetry and Modelling, 1993(3): 132-143.
13 KUMARL, SKIDMOREA K, KNOWLESE.Modeling topographic variation in solar radiation in a GIS environment[J]. International Journal of Geographic Information Science, 1997, 11(5): 475-497.DOI:10.1080/136588197242266
14 DANIELW M, BRENDANG M, BRIANL Z.Calibration and sensitivity analysis of a spatially distributed solar radiation model[J]. International Journal of Geographical Information Science, 1999, 13(1):49-65.DOI:10.1080/136588199241454
15 PINDEF U, RICHP M.A geometric solar radiation model with application in agriculture and forestry[J]. Computer and Electronics in Agriculture, 2002, 37: 25-35.DOI:10.1016/s0168-1699(02)00115-1
16 LIX, CHENGG D, CHENX Z, et al.Modification of solar radiation model over rugged terrain[J]. Chinese Science Bulletin, 1999, 44(9): 993-998.DOI:10.1007/bf02885977
17 XIEY S. Modelling Topographic Variation in Solar Radiation in a GIS Environment[D]. Beijing: Chinese Academy of Forestry, 2001.
18 CHENH, SUND F, DUANZ Q, et al.Sunshine hours model and spa-temporal variation analysis based on DEM[J]. Journal of Mountain Science, 2002, 20(5): 559-563.DOI:10.3969/j.issn.1008-2786.2002.05.009
19 ZENGY, QIUX F, MIAOQ L, et al.Distribution of possible sunshine durations over rugged terrains of China[J]. Progress in Natural Science, 2003, 13(5): 545-548.DOI:10.3321/j.issn:1002-008X.2003.05.019
20 LIJ, HUANGJ F.Spatial distribution of duration of possible sunshine based on DEM in mountain area[J]. Journal of Zhejiang University (Science Edition), 2007, 34(3): 346-350.DOI:10.3321/j.issn:1008-9497.2007.03.026
21 SUNX, WANGJ M, JIANGC Y, et al.The spatial distribution of sunshine duration of mountain Terrain[J]. Journal of Natural Resources, 2010, 25(4): 625-635.DOI:10.11849/zrzyxb.2010.04.011
22 PANY D.Corrections for sunshine duration models under rugged terrain conditions[J]. Resources Science, 2010, 32(8): 1493-1498.
23 ZHANGC, WUL L, YANGN, et al.Study on temporal and spatial distribution of sunshine duration based on GIS in karst mountain area:Taking Guangxi Bama county for example[J]. Journal of Natural Resources, 2014, 29(11): 1968-1978.DOI:10.11849/zrzyxb.2014.11.014
24 TANGG A, LIUX J, LYU G N.Principles and Methods of Digital Elevation Model and Analysis[M]. Beijing: Science Press, 2005.
25 ZHANGY, CHENL F, LIUQ H, et al.Topographic and spatial-scaling effects on the sunlit time of the different terrains[J]. Journal of Remote Sensing, 2005, 9(5): 521-530.DOI:10.3321/j.issn:1007-4619.2005.05.002
26 JIANGC Y, SUNX, WANGJ M, et al.Influences of various local topographic factors on astronomical radiation of mountain and its spatial scale effect in mountainous region[J]. Plateau Meteorology, 2010, 29(5): 1230-1237.DOI:10.3788/gzxb20103906.0998
27 ZHOUW Z, CHENN.Spatial distribution of extraterrestrial solar radiation and its spatial scale effect on rugged terrains[J]. Journal of Geo-Information Science, 2018, 20(2): 186-195.
28 PANS W.Theoretical Base and Application of Microclimate Review[M]. Beijing: China Meteorological Press, 1989.
29 ZHANGW, LIA N.Study on the optimal scale for calculating the relief amplitude in China[J]. Geography and Geo-information Science, 2012, 28(4): 8-12.
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