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 COMPARISON OF RUNOFF RATES WITH SOIL LOSS MAP The results of this study were correlated with the soil loss rates estimated by (Saengthongpinit, 2004), using the RMMF model (Morgan, 1995). The base simulation surface runoff predictions obtained in section 6.4 was used for this purpose. The estimated runoff rates were classified into 4 severity classes including; low runoff (0-1cm3/s), moderate runoff (1-100 cm3/s), high runoff (100-200 cm3/s) and very high runoff (>200 cm3/s). The map in figure 6-33 shows the result of the classification. The runoff class map was crossed with the soil erosion class map and it was found that 65% of the area classified as having the lowest erosion rate (up to 10 ton/ha/yr accounting for 75% of the total catchment) was found to belong to the area classified as low and moderate runoff. On the other hand, about 60% of the area classified as having the highest rates of erosion (41-60 ton/ha/yr) was found to belong to the very high and high runoff rate classes. The remaining classes did not exhibit much relation with increasing rates of runoff but only accounted for a small portion of the study area. Figure 1 : Surface runoff hazard map Figure 2 : Erosion hazard map (adopted from (Saengthongpinit, 2004) References Morgan, R.P.C., 1995. Soil erosion and conservation. Longman, Harlow, 198 pp. Saengthongpinit, C., 2004. Soil erosion assessment using revised MMF equations with special reference to terrain parameter(s) : a case study in Nam Chun sub-watershed, Lomsak district, Thailand. MSc Thesis, International Institute for Geo-Information Science and Earth Observation, Enschede, 80 pp. Development of Methodologies for Land Degradation Assessment Applied to Land Use Planning in Thailand ^go to top