Q3. (a) Explain the importance of GIS is environmental risk assessment (b) Describe the GIS requirements for environmental risk assessment (c) Use the input data in Figure Q3 to identify erosion hotspot pixels in the study area (d) Calculate the assessment accuracy based on the Nash-Sutcliff coefficient of efficiency Cells (15m by 15m) Cell с 2 Input data for soil erosion modelling Rainfall (mm) Sand (%) Silt (%) Drainage Slope (%) BRed BIRed Conservation Actual Erosion (t/h/y) 121 20 45 High 3 0.231 0.314 Fallow (0.7) 0.09 211 11 44 High 12 0.012 0.121 None (1) 0.12 DE 121 38 55 Rapid 8.1 0.181 0.712 Grass strip (0.1) 0.15 238 24 18 Slow 4.5. 0.311 0.671 Contour (0.3) 0.078 102 17 29 Moderate 7.5 0.27 0.413 Contour (0.3) 0.62 89 44 27 Rapid 5.5 0.118 0.312 None (1) 0.31 Study area G 103 23 33 Slow 6 0.071 0.232 Fallow (0.7) 0.55 H 90 55 15 Rapid 2.1. 0.082 0.32 None (1) 1.28 130 18 32 Moderate 13. 0.11 0.44 Grass strip (0.1) 1.5 ⚫ Rainfall erosivity; R = 0.715*P-6.12 (P mean annual rainfall amount) Erodibility: K = 1.82E-5*M+0.0045P-0.0097 (M=Sand*Silt; P. =f(drainage) P. 1(Very-Rapid), 2(Rapid), 3(moderate), 4(moderate-slow), 5(slow), 6(very-slow) ⚫ Slope length: SL= (Pixel/22.13)m *(0.065+0.046S+0.0065S2); (S-Slope %, m=f(slope)) ⚫m=0.2 (S<1), 0.3 (1≤S<3), 0.4(3≤S<5), 0.5(52) Figure Q3

Elements Of Electromagnetics
7th Edition
ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
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Q3. (a) Explain the importance of GIS is environmental risk assessment
(b) Describe the GIS requirements for environmental risk assessment
(c) Use the input data in Figure Q3 to identify erosion hotspot pixels in the study area
(d) Calculate the assessment accuracy based on the Nash-Sutcliff coefficient of efficiency
Cells (15m by 15m)
Cell
с
2
Input data for soil erosion modelling
Rainfall (mm) Sand (%) Silt (%) Drainage Slope (%) BRed BIRed Conservation Actual Erosion (t/h/y)
121
20
45
High
3
0.231 0.314
Fallow (0.7)
0.09
211
11
44
High
12
0.012 0.121
None (1)
0.12
DE
121
38
55
Rapid
8.1
0.181 0.712 Grass strip (0.1)
0.15
238
24
18
Slow
4.5.
0.311 0.671
Contour (0.3)
0.078
102
17
29
Moderate
7.5
0.27 0.413
Contour (0.3)
0.62
89
44
27
Rapid
5.5
0.118 0.312
None (1)
0.31
Study area
G
103
23
33
Slow
6
0.071 0.232
Fallow (0.7)
0.55
H
90
55
15
Rapid
2.1.
0.082 0.32
None (1)
1.28
130
18
32
Moderate
13.
0.11 0.44 Grass strip (0.1)
1.5
⚫ Rainfall erosivity; R = 0.715*P-6.12 (P mean annual rainfall amount)
Erodibility: K = 1.82E-5*M+0.0045P-0.0097 (M=Sand*Silt; P. =f(drainage)
P. 1(Very-Rapid), 2(Rapid), 3(moderate), 4(moderate-slow), 5(slow), 6(very-slow)
⚫ Slope length: SL= (Pixel/22.13)m *(0.065+0.046S+0.0065S2); (S-Slope %, m=f(slope))
⚫m=0.2 (S<1), 0.3 (1≤S<3), 0.4(3≤S<5), 0.5(5<S<12), 0.6(S≥12)
• Cover factor: C = 1.02-1.21*NDVI (NDVI remote sensing index)
Practice: P=f(soil conservation)
• Erosion (ton/ha/yr)<0.05, None, Low(0.05<Rates<0.1), Moderate (0.1<Rates<0.5), high (0.5<Rates<2), very high
(Rates>2)
Figure Q3
Transcribed Image Text:Q3. (a) Explain the importance of GIS is environmental risk assessment (b) Describe the GIS requirements for environmental risk assessment (c) Use the input data in Figure Q3 to identify erosion hotspot pixels in the study area (d) Calculate the assessment accuracy based on the Nash-Sutcliff coefficient of efficiency Cells (15m by 15m) Cell с 2 Input data for soil erosion modelling Rainfall (mm) Sand (%) Silt (%) Drainage Slope (%) BRed BIRed Conservation Actual Erosion (t/h/y) 121 20 45 High 3 0.231 0.314 Fallow (0.7) 0.09 211 11 44 High 12 0.012 0.121 None (1) 0.12 DE 121 38 55 Rapid 8.1 0.181 0.712 Grass strip (0.1) 0.15 238 24 18 Slow 4.5. 0.311 0.671 Contour (0.3) 0.078 102 17 29 Moderate 7.5 0.27 0.413 Contour (0.3) 0.62 89 44 27 Rapid 5.5 0.118 0.312 None (1) 0.31 Study area G 103 23 33 Slow 6 0.071 0.232 Fallow (0.7) 0.55 H 90 55 15 Rapid 2.1. 0.082 0.32 None (1) 1.28 130 18 32 Moderate 13. 0.11 0.44 Grass strip (0.1) 1.5 ⚫ Rainfall erosivity; R = 0.715*P-6.12 (P mean annual rainfall amount) Erodibility: K = 1.82E-5*M+0.0045P-0.0097 (M=Sand*Silt; P. =f(drainage) P. 1(Very-Rapid), 2(Rapid), 3(moderate), 4(moderate-slow), 5(slow), 6(very-slow) ⚫ Slope length: SL= (Pixel/22.13)m *(0.065+0.046S+0.0065S2); (S-Slope %, m=f(slope)) ⚫m=0.2 (S<1), 0.3 (1≤S<3), 0.4(3≤S<5), 0.5(5<S<12), 0.6(S≥12) • Cover factor: C = 1.02-1.21*NDVI (NDVI remote sensing index) Practice: P=f(soil conservation) • Erosion (ton/ha/yr)<0.05, None, Low(0.05<Rates<0.1), Moderate (0.1<Rates<0.5), high (0.5<Rates<2), very high (Rates>2) Figure Q3
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