Impact of future land use change and climate change on soil erosion by using remote sensing and GIS techniques in Lam Phra Phloeng Watershed, Nakhon Ratchasima, Thailand | |
| Author | Jagarapu, Harsha Sai Chandra Meher |
| Call Number | AIT Thesis no.RS-16-18 |
| Subject(s) | Land use--Remote sensing--Thailand--Nakhon Ratchasima Climatic change--Remote sensing--Thailand--Nakhon Ratchasima Geographic informaiton system--Thailand--Nakhon Ratchasima Soil erosion--Remote sensing--Thailand--Nakhon Ratchasima |
| Note | A thesis submitted in partial fulfilment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information System |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. RS-16-18 |
| Abstract | Soil erosion has been an environmental concern all over the world. Soil loss is mainly due to direct impact of climatic change and indirect impact of land use change which are the causes of soil erosion. The impacts of future climate change, ranging from changes in precipitation characteristics and temperature have a serious effect on soil erosion. Different type of soil erosion models (theoretical or physically based models and empirical models) are used for different type of erosions. RUSLE, an empirical based model along with the sedimentation modelling is used to estimate the soil loss in this study. Different Global climatic model (GCMs) b y using Quantile Mapping Technique , a statistical downscaling was used to study about the future impact of climatic change in the area. CA - Markov model technique is used to estimate the future land use change. Integration of remote sensing and Geographic information system (GIS) data for the soil erosion modelling estimates the soil erosion precisely. Information obtained from Remote Sensing (RS) is used to integrate with GIS tools in specifying a particular soil erosion model and are used in framework supports for decision makers in preparing more accurate spatial maps in less time and cost. Different patterns, trends and rates are used to analyse the information t o fulfil the goals of soil erosion studies. The study obtained the results of a maximum erosion of 881.48 ton/ha/year and 1145.92 ton/ha/year for the year 2000 and 2014 using RUSLE model. Impact of soil erosion is calculated through Climatic change and also the land use change in the next step. Combined impact of Climate change and Land use change in future have a higher erosion values when compared with the impact of rainfall has a low erosion values. Soil erosion values are increased up to a maximum of 15 45, 1688 and 1823 tons/ha/year in 2040, 2070 and 2099. So there is a significant increase in soil erosion problem throughout the Near, Mid and Far future along with the climate and the land use change in the watershed. Adoptive measures and conservation techniques are proposed to implement in the study area to decrease thee impact of soil erosion risk. |
| Year | 2016 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. RS-16-18 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Sarawut Ninsawat |
| Examination Committee(s) | Shrestha, Sangam;Tripathi, Nitin Kumar |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2016 |