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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

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2018 Impact Factor: 1.205

Front. Earth Sci.    2020, Vol. 14 Issue (1) : 171-187    https://doi.org/10.1007/s11707-019-0770-z
RESEARCH ARTICLE
Scale problem: Influence of grid spacing of digital elevation model on computed slope and shielded extra-terrestrial solar radiation
Nan CHEN1,2()
1. Key Laboratory of Spatial Data Mining & Information Sharing (Ministry of Education), Fuzhou University, Fuzhou 350108 China
2. Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou 350108 China
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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     
Corresponding Author(s): Nan CHEN   
Online First Date: 27 December 2019    Issue Date: 24 March 2020
 Cite this article:   
Nan CHEN. Scale problem: Influence of grid spacing of digital elevation model on computed slope and shielded extra-terrestrial solar radiation[J]. Front. Earth Sci., 2020, 14(1): 171-187.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-019-0770-z
https://academic.hep.com.cn/fesci/EN/Y2020/V14/I1/171
Fig.1  Slope  change caused by the change in the grid spacing of the digital elevation model. For convenience of explanation, we give a profile of the land surface, ABC^, in the figure.
Fig.2  Shade  relief maps of the six sample areas
Sample area Longitude and latitude at the upper left corner of the sample area Longitude and latitude at the bottom right corner of the sample area Average latitude of the sample area Landform
Shenmu 110°15′00″E,
38°55′00″N
110°22′30″E,
38°50′00″N
38°52′30″N Desert and loess
Yanchuan 109°52′30”E,
36°47′30″N
110°00′00”E,
36°42′30”N
36°44′30″N Low- and medium-sized mountains
Yijun 109°18′45″E,
35°30′00″N
109°26′15″E,
35°25′00″N
35°27′30″N Loess ridge
Nanping 118°33′45″E,
27°52′30″N
118°41′15″E,
27°47′30″N
27°49′30″N Hills and low- and medium-sized mountains
Sanming 117°18′45″E,
26°22′30″N
117°26′15″E,
26°17′30″N
26°19′30″N Low- to medium-sized mountains
Zhangzhou 117°33′45″E,
24°42′30″N
117°41′15″E,
24°37′30″N
24°39′30″N Plains
Tab.1  The  locations and landforms of the sample areas
Fig.3  Computation  of the shielded coefficients. For convenience of explanation, we give a profile of the land surface (the blue curve in the figure). The red lines with arrows represent the directions of sunbeams, whose elevation angle is denoted by h (in the figure on the left) and whose azimuth angle is denoted by φ (in the figure on the right figure).
Fig.4  A  3 × 3 gridded digital elevation model. The elevations of grid cells 1 through 9 are necessary for computing the slope (or the aspect) of grid cell 5. In this figure, g denotes the grid spacing of the digital elevation model.
Fig.5  Sketch  map of the derivation of the slope of grid cell A from 5 m grid spacing or 10 m grid spacing digital elevation model (DEM) using the third-order finite difference algorithm weighted by the reciprocal of the squared distance. When we derive the slope of A using a 5 m grid spacing DEM, the elevations of the green grid cells are required—the derived slope is denoted by Sl op e5,A; when we derive the slope of A using a 10 m grid spacing DEM, the elevations of the yellow grid cells and grid cell A are required—the derived slope is denoted by Sl op e10 ,A. The difference, Slope10,ASlope5,A, is the slope representation error of A.
Fig.6  Change in the slopes of grid cells with a positive or negative slope representation error in Nanping. The slope representation error is denoted by Slope_RE.
Fig.7  Change in the S ESR (shielded extra-terrestrial solar radiation) in grid cells with a positive or negative Sl op e_RE (slope representation error) in Nanping on the vernal equinox. The S ESR representation error is denoted by Slope_RE in this figure.
Sample area Day a1 a2 a3 a4 b1 b2 b3 b4
Nanping Vernal equinox 21.61 23.90 9.94 10.30 0.29 0.48 0.63 0.74
Summer solstice 20.48 22.66 9.42 9.76 0.32 0.48 0.65 0.72
Autumnal equinox 21.23 23.50 9.76 10.13 0.28 0.48 0.62 0.73
Winter solstice 29.98 30.91 13.80 13.32 0.18 0.37 0.66 0.70
Shenmu Vernal equinox 21.75 22.19 3.96 5.00 0.03 0.18 0.33 0.52
Summer solstice 9.84 13.85 1.78 3.09 0.15 0.41 0.30 0.64
Autumnal equinox 21.32 21.79 3.89 4.91 0.03 0.18 0.32 0.52
Winter solstice 29.63 27.35 5.41 6.17 -0.01 0.13 0.39 0.55
Sanming Vernal equinox 18.15 21.54 8.34 9.47 0.42 0.53 1.03 1.03
Summer solstice 17.08 19.20 7.84 8.41 0.54 0.79 1.12 1.25
Autumnal equinox 17.82 21.17 8.19 9.30 0.42 0.53 1.01 1.02
Winter solstice 26.10 28.46 12.03 12.56 0.21 0.29 1.07 0.92
Yanchuan Vernal equinox 21.89 24.64 13.48 14.64 1.03 1.67 1.12 1.42
Summer solstice 19.87 22.94 12.23 13.63 0.77 1.16 0.86 0.93
Autumnal equinox 21.53 24.25 13.26 14.41 1.01 1.64 1.10 1.40
Winter solstice 22.83 23.39 14.03 13.88 0.27 0.67 0.37 0.45
Yijun Vernal equinox 21.80 23.57 10.16 12.53 0.48 1.22 0.73 1.26
Summer solstice 17.64 21.65 8.22 11.51 0.49 1.04 0.69 1.07
Autumnal equinox 21.43 23.20 9.99 12.33 0.48 1.21 0.72 1.24
Winter solstice 22.08 21.09 10.31 11.22 0.06 0.53 0.31 0.56
Zhangzhou Vernal equinox 12.03 12.68 1.38 2.27 0.02 0.09 -0.02 -0.36
Summer solstice 8.12 10.65 0.93 1.90 0.04 0.11 0.01 -0.27
Autumnal equinox 11.73 12.39 1.34 2.22 0.02 0.09 -0.02 -0.35
Winter solstice 24.33 23.52 2.79 4.23 0.01 0.07 -0.08 -0.78
Tab.2  The parameters in Eqs. (5) through (8)
Fig.8  Technical framework for verifying Eq. (5) in the test area. S ESR_A A denotes the average absolute value of the slope representation error, and S ESR_A A denotes the average absolute value of the shielded extra-terrestrial solar radiation. Equation (5) is given in Section 3.3. We compute the difference between the S ESR_A A computed by Eq. (5) and the actual SESR_ AA. Then, we define the ratio of the absolute value of the difference to the actual S ESR_A A as the relative error of S ESR_A A computed by Eq. (5). The average value of the relative error is defined as the average relative error of S ESR_A A computed by Eq. (5).
ARE Vernal equinox Summer solstice Autumnal equinox Winter solstice
ARE of S ESR_A A
computed by Eq. (5)
10.70% 11.56% 10.72% 8.31%
ARE of S ESR_M SE
computed by Eq. (6)
8.85% 9.24% 8.86% 6.36%
ARE of S ESR_A A
computed by Eq. (7)
11.75% 12.55% 11.76% 9.51%
ARE of S ESR_M SE
computed by Eq. (8)
9.26% 9.74% 9.27% 7.07%
Tab.3  The average relative errors of S ESR_A A and S ESR_M SE in the test area*
Fig.9  Percentage of grid cells with a positive representation error of the shield extra-terrestrial solar radiation, denoted by S ESR_R E, in Nanping on every classified slope on the vernal equinox. The shielded extra-terrestrial solar radiation is computed from digital elevation models (DEMs) with grid spacings of 10 m, 15 m, …, 100 m. The slope derived from the DEM with 5 m grid spacing is classified into 11 intervals, [ 0 °,? 5°),? [5°, ?10°) ,?[10°,?15°),?...,?[ 45° ,?50 °), ?[50 °,? 90°], numbered from 1 to 11. The percentages of grid cells with a positive or negative S ESR_R E in other sample areas are not given here because of lack of space.
Fig.10  Average  absolute value of the shielded extra-terrestrial solar radiation representation error (i.e., the AA of SESR_RE) distributed across the 11 slope intervals of [ 0 °,? 5°),? [5°, ?10°) ,?[10°,?15°),?...,?[ 45° ,?50 °), ?[50 °,? 90°]. The shielded extra-terrestrial solar radiation is computed from digital elevation models with grid spacings of 10 m, 15 m, …, 100 m in Nanping on the vernal equinox.
Fig.11  Mean square errors of shielded extra-terrestrial solar radiation representation error (i.e., the MSEs of SESR_RE) distributed across the 11 slope intervals of [ 0 °,? 5°),? [5°, ?10°) ,?[10°,?15°),?...,?[ 45° ,?50 °), ?[50 °,? 90°]. The shielded extra-terrestrial solar radiation is computed from digital elevation models with grid spacings of 10 m, 15 m, …, 100 m in Nanping on the vernal equinox.
Fig.12  Average absolute value of the slope representation error (i.e., the AA of Slope_RE) (in radians) for the 11 slope intervals of [ 0 °,? 5°),? [5°, ?10°) ,?[10°,?15°),?...,?[ 45° ,?50 °), ?[50 °,? 90°]. The slope representation error is computed from digital elevation models with grid spacings of 10 m, 15 m, …, 100 m in Nanping.
Fig.13  Side facing into or away from the sun. In the figure on the left, (a) Sunrise, face ACD of pyramid ABCD faces into the sun (represented by the red disk), at sunrise, while face ABC faces away the sun. In the figure on the right, (b) Sunset, face ACD faces away the sun, while face ABC faces into the sun. Then, although the aspect of ACD or ABC is certain, whether ACD or ABC faces into or away the sun varies with time. Furthermore, because all the grid cells in the DEMs of the sample areas possess diversified slopes and aspects, the grid cells may have diversified possibilities on whether they face into or away from the sun during the day, making it possible for us to study the shielded extra-terrestrial solar radiation under diversified possibilities.
Fig.14  The average shielded extra-terrestrial solar radiation (SESR) in Nanping moved to the equator on the vernal equinox, summer solstice, autumnal equinox and winter solstice when the grid spacings of the digital elevation model are 5, 10, ..., 100 m.
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