home    land degradation    project outcome    Gallery Flooding Flood Hazard Assessment Pilot Area • The Pilot Areas • Climate • Cover factor (C) estimation • Digital terrain analysis • Relationship between soil properties • Relationship of soil properties with different land use/cover types Methodology • Methodologies • LISEM Results • Result Soil Properties and Land Use • Runoff rate for different land cover types • Model calibration and validation • Sensitivity analysis • Land use scenarios • Rainfall size scenarios • Flooding Scenario - 2 years return period • Flooding Scenario - 10 years return period • Flooding Scenario - 20 years return period • Flooding Scenario - 50 years return period • Summary tables for each flood characteristic • Flood hazard mapping • Conclusions and Recommendation Erosion Erosion Assessment Pilot Area • The Pilot Areas • Climate • Cover factor (C) estimation • Digital terrain analysis • Relationship between soil properties • Relationship of soil properties with different land use/cover types Methodology • Methodologies • Erosion Models Result • Results • C-Factor Mapping for erosion assessment • Soil erosion assessment • Assessment of land use/cover change effect on soil erosion • Assessing critical zones for ephemeral gully formation • Erosion Assessment by Different Models • The recommended erosion models • RMMF Landslide Case I • Landslide hazard assessment • The area (Pilot 3) • Landslide Mapping in Wang Chin using digital image analysis Techniques. • Results • Discussions Case II • Doi Ang Khang (Ang Khang) (Pilot area 4) • Landslide mapping in Ang Khang using aerial photos • Landslide Inventory Mapping • Landslide modelling and Susceptibility mapping • Landslide Susceptibility Maps from the three Scenarios (models) • Comparison between Ang Khang and Wang Chin (with respect to weights of evidence modelling using morphometric parameters) Salinization Case I • Pilot area II • Soil salinity • Salinization • Geomorphology • Soils • Geopedologic map • Results Case II • CASE II - The study of Yadav, R.D. (2005), • Methodology • Crop Simulation Model • PS 123 • Results • Mathematical (Regression) Model for Crop Yield Estimation • Conclusion Case III • Case III • Modeling Salinization • Geostatistics and Interpolation (GIS and Kriging) • Model Simulation and Prediction of Salinity • Simulated Depth to water table • Tenth Years Prediction • Twenty Years Prediction • Conclusion Runoff • Surface Runoff • Methodology • Modelling Runoff • Modelling Runoff Using Empirical Approach • Modelling runoff using the Semi-physical approach • Estimation with the Curve Number Method • Results and Discussion • Generation of Scenarios • Comparison of runoff rates with soil loss map • Conclusions • Presentation of papers based on project work at international • Workshop in Lomsak • Hua Hin seminar • Training of LDD staff • GIS and RS based predictive soil mapping • Soil erosion assessment • Landslide hazard assessment • Flood hazard assessment • Soil salinity study • List of completed MSc. theses on project SUMMARY TABLES FOR EACH FLOOD CHARACTERISTIC Table 1. Summary for flood extent. Scenarios Flood extent (% of total area) Tr2 Tr10 Tr20 Tr50 Present Situation 8 44 55 62 Scenarios - A 0 28 43 54 Scenarios - B 29 57 64 67 Scenarios - C 31 59 63 68 Table 2. Summary for flood volume. Scenarios Flood volumn (106 m3) Tr2 Tr10 Tr20 Tr50 Present Situation 0.29 5.44 9.47 13.33 Scenarios - A 0.00 2.28 5.21 8.88 Scenarios - B 2.69 10.12 19.59 24.65 Scenarios - C 3.20 11.05 14.66 17.97 Table 3. Summary for maximum water depth. Scenarios Maximum water depth (m) Tr2 Tr10 Tr20 Tr50 Present Situation 0.89 2.96 3.40 3.82 Scenarios - A 0.41 2.17 2.96 3.38 Scenarios - B 2.21 3.46 3.90 4.41 Scenarios - C 2.25 3.60 3.97 4.41 Table 4. Summary for maximum velocity. Scenarios Maximum velocity (m/s) Tr2 Tr10 Tr20 Tr50 Present Situation 1.11 5.78 6.04 6.94 Scenarios - A 0.12 5.03 5.77 6.12 Scenarios - B 5.51 6.48 6.99 6.99 Scenarios - C 5.80 6.87 6.92 6.90 Development of Methodologies for Land Degradation Assessment Applied to Land Use Planning in Thailand ^go to top