A remote sensing and GIS approach for mudslide modeling in Mae Cham Basin, Thailand | |
| Author | Anujit Vansarochana |
| Call Number | AIT Diss. no.RS-08-03 |
| Subject(s) | Mudslides--Geographic Information Systems--Thailand--Mae Cham Basin Mudslides--Remote sensing--Thailand--Mae Cham Basin |
| Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Engineering in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Series Statement | Dissertation ; no. RS-08-03 |
| Abstract | Mae Cham basin is located on the north-west boundar y of Thailand. It has a very important river Mae Cham. This basin suffers more f rom mudslides than landslides. A heavy downpour may cause the soils ne ar the river to become weak and starts flowing and finally a large area gets er oded. Mudslide hazard prone areas in SE Asia are seldom determined by integrate d monitoring using satellite data enhancement and GIS spatial analysis. A case o f the part of Mae Cham watershed is considered for this study. This dissertation addressed comparative mudslide re sults between deterministic and stochastic based surface interpolation techniqu es. Three interpolation techniques were applied to create the surface of sl ope and aspect. It was found that Krigging interpolation has offered higher accu racy for slope, while the Spline has yielded better accuracy for the aspect s urface generation. These results have offered which interpolation technique is suita ble for what kind of topographic surface generation and mudslide risk zo nation. Subsequently, this work found a new application mod el for mudslide risk zonation, corresponding to hazard classes. This stu dy has integrated the topographic surfaces and Bayesian analysis approach to investigate the mudslide risk areas. This approach overcomes the conventiona l vector based approach by adopting the continuous surface analysis.Information value (IFV) approach was applied to fin d risk zones and also which classes are more responsible for slope failures. Th is was later extended using the integration with Analytical Hierarchical Process (A HP) by evolving the “Mudslide Index Model (MIM)”. A mudslide zone map w as created for the part of the Mae Cham basin. The accuracy of the results from both approaches was verified by satellite-aided interpretation of field slope areas and limited field checks. Information value approach has offered the valuable information that soil types and transplanted paddy fields are very critic al factor for mudslide risk zonation. This study has provided a deep insight in to the mudslide phenomenon. AHP and IFV have offered useful results for mudslid e risk zonation. But MIM (Mudslide Index Model) was developed to integrate t hem and it has yielded very accurate results. MIM results show that areas with slope of less than 1º and are near to the stream are more risky for mudslide. In fact, mudslides were also found to be very much associated with terrain aspec t of north-east and road buffer of less than 200 meters.The phenomenon is quite different than landslides. For mudslide, all the places lying in low slopes, flood plains, near to river an d road are showing vulnerable zones. These terrain elements are susceptible to er osion during rainy and flood season. Mudslides are regular phenomenon in tropical region s during rainy season and cause loss of lives and property. The methods devel oped in this study may be used to create mudslide risk zones for safe plannin g and development. NOTE 520 Mae Cham basin is located on the north-west boundary of Thailand. It has a very important river Mae Cham. This basin suffers more from mudslides than landslides. A heavy downpour may cause the soils near the river to become weak and starts flowing and finally a large area gets eroded. Mudslide hazard prone areas in SE Asia are seldom determined by integrated monitoring using satellite data enhancement and GIS spatial analysis. A case of the part of Mae Cham watershed is considered for this study. This dissertation addressed comparative mudslide results between deterministic and stochastic based surface interpolation techniques. Three interpolation techniques were applied to create the surface of slope and aspect. It was found that Krigging interpolation has offered higher accuracy for slope, while the Spline has yielded better accuracy for the aspect surface generation. These results have offered which interpolation technique is suitable for what kind of topographic surface generation and mudslide risk zonation. Subsequently, this work found a new application model for mudslide risk zonation, corresponding to hazard classes. This study has integrated the topographic surfaces and Bayesian analysis approach to investigate the mudslide risk areas. This approach overcomes the conventional vector based approach by adopting the continuous surface analysis. Information value (IFV) approach was applied to find risk zones and also which classes are more responsible for slope failures. This was later extended using the integration with Analytical Hierarchical Process (AHP) by evolving the "Mudslide Index Model (MIM)". A mudslide zone map was created for the part of the Mae Cham basin. The accuracy of the results from both approaches was verified by satellite-aided interpretation of field slope areas and limited field checks. Information value approach has offered the valuable information that soil types and transplanted paddy fields are very critical factor for mudslide risk zonation. This study has provided a deep insight into the mudslide phenomenon. AHP and IFV have offered useful results for mudslide risk zonation. But MIM (Mudslid Index Model) was developed to integrate them and it has yielded very accurate results. MIM results show that areas with slope of less than 10 and are near to the stream are mar risky for mudslide. In fact, mudslides were also found to be very much associated wit terrain aspect of north-east and road buffer of less than 200 meters. The phenomenon is quite different than landslides. For mud slide, all the places lying in low slopes, flood plains, near to river and road are showing vulnerable zones. These terrai elements are susceptible to erosion during rainy and flood season. Mudslides are regular phenomenon in tropical regions during rainy season and cause 1m of lives and property. The methods developed in this study may be used to create mudslic risk zones for safe planning and development |
| Year | 2008 |
| Corresponding Series Added Entry | Asian Institute of Technology. Dissertation ; no. RS-08-03 |
| Type | Dissertation |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Nitin K. Tripathi |
| Examination Committee(s) | Roberto S. Clemente ;Taravudh Tipdecho |
| Scholarship Donor(s) | Naresuan University, Thailand |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2008 |