| 1 |
Which factor is considered a major driver of land cover change contributing to landslides in the Chattogram District?
|
Large-scale deforestation for agriculture only |
|
ไปหาข้อมูลแล้วตรงกับคำตอบครับ |
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 2 |
What does the ROC value for a model indicate in the context of this study?
|
The accuracy of the model in predicting landslide susceptibility |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 3 |
According to the study, what percentage of the Chattogram District's area is highly susceptible to landslides?
|
Less than 5% |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 4 |
How are the logistic regression model's coefficients used in landslide susceptibility mapping?
|
To measure the depth of landslides |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 5 |
What is the importance of the Stream Density factor according to the Random Forest model in the document?
|
The least important among the listed factors |
|
Importance of Stream Density:
Indicator of Hydrological Influence:
Stream density indicates the concentration of streams within a given area. High stream density suggests a higher degree of water flow and drainage, which can influence soil stability and erosion processes.
Influence on Erosion and Landslide Risk:
Areas with high stream density are more prone to erosion due to increased water flow and runoff. This erosion can destabilize slopes and increase the likelihood of landslides.
Hydrological Impact:
The presence and density of streams can affect groundwater levels and the saturation of soils. High stream density can lead to higher soil moisture levels, further contributing to slope instability and landslide risk.
Weight in Model Prediction:
In the Random Forest model, the importance of the Stream Density factor is reflected in its weight or contribution to predicting landslide occurrences. A high importance score means that Stream Density is a significant predictor of landslide susceptibility in the model. |
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
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| 6 |
According to the document, which machine learning model showed the highest success rate in training data?
|
Random Forest |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 7 |
What is the primary geological characteristic of the Chattogram District that contributes to landslide susceptibility?
|
High granite content with minimal erosion |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 8 |
How do land use and land cover (LULC) changes influence landslide occurrences in the Chattogram District?
|
They decrease landslide risk by stabilizing slopes |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 9 |
What percentage of total variance is explained by the first factor in the factor analysis discussed in the document?
|
32.496% |
|
The percentage of total variance explained by the first factor in the factor analysis discussed in the document is 36.35%.
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
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| 10 |
According to the factor analysis, which factor is related to the cost and sufficiency of manure?
|
Factor 2: Soil analysis and plant nutrient utilization |
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|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 11 |
According to the factor analysis, which factor is related to the cost and sufficiency of manure?
|
Factor 4: Limitations in the utilization of chemical fertilizer and manure |
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|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 12 |
What is the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy reported in the document?
|
0.800 |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
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| 13 |
Which of the following statements best describes the contribution of Factor 2 in the factor analysis?
|
It relates to the environmental impacts of fertilizer use. |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
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| 14 |
Which factor is primarily associated with limitations in the utilization of chemical fertilizer and manure according to the document?
|
Factor 3 |
|
Factor 3 is primarily associated with limitations in the utilization of chemical fertilizer and manure. This factor reflects how the limitations in fertilizer and manure application can influence various aspects of the studied system, including its impact on landslide risk or related factors. |
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 15 |
What is the percentage of variance explained by all four factors together?
|
32.496% |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
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| 16 |
What is the highest mean value for the propositions used in the factor analysis, according to the document?
|
2.814 |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
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| 17 |
What was the minimum magnitude for the factor loads considered for interpreting the analysis results in the factor analysis?
|
0.50 |
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
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| 18 |
According to the document, how many factors were initially considered before deciding on the final number?
|
None of the above |
|
มี 12 อย่าง |
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 19 |
Which method was used for rotation in the factor analysis described in the document?
|
Varimax |
|
In the factor analysis described in the document, Varimax Rotation was used. This method is an orthogonal rotation technique that simplifies the interpretation of factors by maximizing the variance of factor loadings, making the factors more interpretable and distinct. |
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
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| 20 |
Based on the factor analysis, how is Factor 1 defined in the document?
|
Soil analysis and plant nutrient utilization |
|
This factor typically includes variables related to:
Soil and Rock Types: Characteristics of the geological materials present.
Hydrogeological Conditions: Factors such as groundwater levels and flow patterns.
Slope Stability: The stability of slopes influenced by geological and hydrogeological conditions. |
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|