Scale problem: Influence of grid spacing of digital elevation model on computed slope and shielded extra-terrestrial solar radiation

Nan CHEN

Front. Earth Sci. ›› 2020, Vol. 14 ›› Issue (1) : 171 -187.

PDF (2726KB)
Front. Earth Sci. ›› 2020, Vol. 14 ›› Issue (1) : 171 -187. DOI: 10.1007/s11707-019-0770-z
RESEARCH ARTICLE
RESEARCH ARTICLE

Scale problem: Influence of grid spacing of digital elevation model on computed slope and shielded extra-terrestrial solar radiation

Author information +
History +
PDF (2726KB)

Abstract

Solar radiation is the primary energy source that drives many of Earth’s physical and biological processes and determines the patterns of climate and productivity on the surface of the Earth. A fundamental proportion of solar radiation is composed of shielded extra-terrestrial solar radiation (SESR), which can be computed using the slope and aspect derived from a digital elevation model (DEM). The objective of this paper is to determine the influence of the grid spacing of the DEM (the influence of the scale of the DEM) on the errors of slope, aspect and SESR. This paper puts forward the concepts of slope representation error, aspect representation error, and SESR representation error and then studies the relations among these errors and the grid spacing of DEMs. We find that when the grid spacing of a DEM becomes coarser, the average SESR increases; the increase in SESR is dominated by the grid cells of the DEM with a negative slope representation error, whereas SESR generally decreases in the grid cells with a positive slope representation error. Although the grid spacing varies, the distribution of the percentages of positive SESR representation errors on the slope, which is classified into 11 slope intervals, is independent of the grid spacing; this distribution is concentrated across some slope intervals. Moreover, the average absolute value and mean square error of the SESR representation error are closely related to those of the slope representation error and the aspect representation error. The findings in this study may be useful for predicting and reducing the errors in SESR measurements and may help to avoid mistakes in future research and in practical applications in which SESR is the data of interest or plays a vital role in an analysis.

Keywords

scale problem / digital elevation model / grid spacing / slope / shielded extra-terrestrial solar radiation

Cite this article

Download citation ▾
Nan CHEN. Scale problem: Influence of grid spacing of digital elevation model on computed slope and shielded extra-terrestrial solar radiation. Front. Earth Sci., 2020, 14(1): 171-187 DOI:10.1007/s11707-019-0770-z

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Ambreen R, Qiu X F, Ahmad I (2011). Distributed modeling of extraterrestrial solar radiation over the rugged terrains of pakistan. J Mt Sci, 8(3): 427–436

[2]

Bocquet G (1984). Method of study and cartography of the potential sunny periods in mountainous areas. J Climatol, 4(6): 587–596

[3]

Chen N (2013). Influence of resolutions of DEM on the error of slope. Geomatics and Information Science of Wuhan University, 38(5): 594–598 (in Chinese)

[4]

Chen N (2014). Relationship between dem resolution and average slope derived from DEM. Journal of Geo-Information Science, 16(4): 524–530 (in Chinese)

[5]

Chen N, Tang G A, Guo D S, Chen C (2014). Influence of DEM orientation on the error of slope calculation. Earth Sci Inform, 7(4): 277–285

[6]

Chow T E, Hodgson M E (2009). Effects of lidar post—spacing and DEM resolution to mean slope estimation. Int J Geogr Inf Sci, 23(10): 1277–1295

[7]

Dozier J, Frew J (1990). Rapid calculation of terrain parameters for radiation modeling from digital elevation data. IEEE Trans Geosci Remote Sens, 28(5): 963–969

[8]

Gao J (1997). Resolution and accuracy of terrain representation by grid DEM s at a micro-scale. Int J Geogr Inf Sci, 11(2): 199–212

[9]

Gao J, Burt J E, Zhu A X (2012). Neighborhood size and spatial scale in raster-based slope calculations. Int J Geogr Inf Sci, 26(10): 1959–1978

[10]

Häntzschel J, Goldberg V, Bernhofer C (2005). GIS-based regionalisation of radiation, temperature and coupling measures in complex terrain for low mountain ranges. Meteorol Appl, 12(1): 33–42

[11]

Hopkinson C, Chasmer L, Munro S, Demuth M N (2010). The influence of DEM resolution on simulated solar radiation—induced glacier melt. Hydrol Processes, 24(6): 775–788

[12]

Horn B K P (1981). Hill shading and the reflectance map. Proc IEEE, 69(1): 14–47

[13]

Huang W F, Chen M R, Chen S X (1986). Meteorology and Climatology. Beijing: Higher Education Press (in Chinese)

[14]

Li C, Wang Q, Shi W Z, Zhao S (2018a). Uncertainty modelling and analysis of volume calculations based on a regular grid digital elevation model (DEM). Comput Geosci, 114: 117–129

[15]

Li C, Zhao S S, Wang Q, Shi W (2018b). Uncertainty modeling and analysis of surface area calculation based on a regular grid digital elevation model (DEM). Int J Geogr Inf Sci, 32(9): 1–23

[16]

Li X, Cheng G, Chen X, Lu L (1999). Modification of solar radiation model over rugged terrain. Chin Sci Bull, 44(15): 1345–1349

[17]

Li Z Q, Weng D M (1988). A computer model for calculating the duration of sunshine in mountainous areas. Chin Sci Bull, 33(19): 1624–1627

[18]

Liu M, Bárdossy A, Jiang Y (2012). Gis-based modelling of topography-induced solar radiation variability in complex terrain for data sparse region. Int J of Geogr Inf Sci, 26(7): 1281–1308

[19]

Pellicciotti F, Raschle T, Huerlimann T, Carenzo M, Burlando P (2011). Transmission of solar radiation through clouds on melting glaciers: A comparison of parameterizations and their impact on melt modelling. J Glaciol, 57(202): 367–381

[20]

Piedallu C, Gégout J C (2007). Multiscale computation of solar radiation for predictive vegetation modelling. Ann Sci, 64(8): 899–909

[21]

Piedallu C, Gégout J C (2008). Efficient assessment of topographic solar radiation to improve plant distribution models. Agric Meteorol, 148(11): 1696–1706

[22]

Qiu X F, Zeng Y, Liu C M, Wu X (2004). Simulation of astronomical solar radiation over yellow river basin based on DEM. J Geogr Sci, 14(1): 63–69

[23]

Qiu X F, Zeng Y, Liu S M (2005). Distributed modeling of extraterrestrial solar radiation over rugged terrain. Chin J Geophys, 48(5): 1100–1107

[24]

Reuter H I, Kersebaum K C, Wendroth O (2005). Modelling of solar radiation influenced by topographic shading––evaluation and application for precision farming. Phys Chem Earth Parts ABC, 30(1–3): 143–149

[25]

Ruiz-Arias J A, Tovar-Pescador J, Pozo-Vázquez D, Alsamamra H, (2009). A comparative analysis of DEM-based models to estimate the solar radiation in mountainous terrain. Int J Geogr Inf Sci, 23(8): 1049–1076

[26]

Šúri M, Huld T A, Dunlop E D, Ossenbrink H A (2007). Potential of solar electricity generation in the european union member states and candidate countries. Sol Energy, 81(10): 1295–1305

[27]

Tang G A, Strobl J, Gong J Y, Zhao M D, Chen Z J (2001). Evaluation on the accuracy of digital elevation models. J Geogr Sci, 11(2): 209–216

[28]

Wang L, Qiu X F, Wang P, Wang X, Liu A (2014). Influence of complex topography on global solar radiation in the Yangtze River Basin. J Geogr Sci, 24(6): 980–992

[29]

Yao R M, Luo Q, Li B Z (2011). A simplified mathematical model for urban microclimate simulation. Build Environ, 46(1): 253–265

[30]

Zeng Y, Qiu X F, Liu C M, (2005). Distributed modeling of direct solar radiation on rugged terrain of the Yellow River Basin. J Geogr Sci, 15(4): 439–447

[31]

Zeng Y, Qiu X F, Miao Q L, Liu C (2003). Distribution of possible sunshine durations over rugged terrains of China. Prog Nat Sci, 13(10): 761–764

[32]

Zhang H L, Liu G H, Huang C (2010). Modeling all-sky global solar radiation using modis atmospheric products: a case study in Qinghai-Tibet Plateau. Chin Geogr Sci, 20(6): 513–521

[33]

Zhang H L, Xin X Z, Li L, Liu Q (2013). An improved parametric model for simulating cloudy sky daily direct solar radiation on tilted surfaces. IEEE J Sel Top Appl Earth Obs Remote Sens, 6(1): 180–187

[34]

Zhang J Y, Zhao L, Deng S, Xu W, Zhang Y (2017). A critical review of the models used to estimate solar radiation. Renew Sustain Energy Rev, 70: 314–329

[35]

Zhang S H, Li X G, Chen Y N (2015). Error assessment of grid-based direct solar radiation models. Int J Geogr Inf Sci, 29(10): 1782–1806

[36]

Zhang Y L, Li X, Bai Y L (2015). An integrated approach to estimate shortwave solar radiation on clear-sky days in rugged terrain using modis atmospheric products. Sol Energy, 113: 347–357

[37]

Zhou Q M, Liu X J (2002). Error assessment of grid-based flow routing algorithms used in hydrological models. Int J Geogr Inf Sci, 16(8): 819–842

[38]

Zhou Q M, Liu X J (2004). Analysis of errors of derived slope and aspect related to DEM data properties. Comput Geosci, 30(4): 369–378

[39]

Zhou Q M, Liu X J (2008). Assessing Uncertainties in Derived Slope and Aspect from a Grid DEM. Berlin: Springer, 279–306

[40]

Zuo D K (1990). Dictionary of Modern Geography. Beijing: The Commercial Press (in Chinese)

[41]

Zuo D K, Zhou Y H, Xiang Y Q, (1991) Studies on Radiation in the Epigeosphere. Beijing: Science Press (in Chinese)

RIGHTS & PERMISSIONS

Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature

AI Summary AI Mindmap
PDF (2726KB)

856

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/