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| 008 | 130807s2011 th uu|m rtt 0| a1eng d | ||
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| 099 | 9 | _aAIT Thesis no.EV-11-23 | |
| 100 | 0 | _aVo Trong Hoang | |
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_aAssessment of long-term change of land-use in relation to climate and development conditions: _ba case study for the coastal districts of Quang Nam Province, Vietnam |
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_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2011 |
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_a85 leaves : _bill. + _e1 online resource |
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_aThesis ; _vno. EV-11-23 |
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| 500 | _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Environmental Engineering and Management | ||
| 502 | _aThesis (M.Sc.) - Asian Institute of Technology, 2011 | ||
| 520 | _aThis study aims at understanding land use and land cover change in Quang Nam -a coastal province in term of effect by climate conditions for the period 1990-2009. It applied Remote sensing technology and GIS to design the maps of land use and to quantify land use change from Landsat TM, ETM+ satellite images for time frame between 1990 to 2009.The analysis of data within this study was accomplished through integrated use of ERDAS imagine (version 9.2), ArcGIS (version 9.3) and SPSS v.17 software packages along with Microsoft office analytical tools. The findings reveal significant decrease in forest land from 27% to 21.8% and in open land from 9.9% to 4.0%; whereas the increase is recognized in built-structures from 19.8% to 29.5% and agricultural land especially paddy land from 26.2% to 28.0% by the year of 1990 and 2009. The changes in climate factors including rainfall, temperature and natural hazards are visible at this study site. Average annual temperature and rainfall tend to increase over time standing at ±1°C and 500-700mm respectively. The frequency of natural hazards such as tropical cyclones, flood and drought is increasing over time, especially these years. The result of Principal Component Analysis (PCA) with Varimax with Kaiser Normalization Rotation Method on the relationship between 8 climate factors (min, max and mean temperature, rainfall, evaporation, humidity, hours of sunshine, wind speed) and areas of 10 crops (annual paddy, winter-spring paddy, summer-autumn paddy, spring-summer paddy, corn, sweet potatoes, cassava, sugar-cane, peanut, and aquaculture) reveals significant correlation between these climate factor sand crops land. The findings of this study can be useful for local people and decision makers who look for an appropriate solution in land use management. | ||
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_aLand use _xEvaluation _zVietnam _zQuang Nam |
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_aLand use _xRemote sensing _zVietnam _zQuang Nam |
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_aPreeda Pakpian, _eChairperson |
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_aNguyen, Thi Kim Oanh, _eExamination Committee |
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_aTripathi, Nitin Kumar, _eExamination Committee |
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_aMai, Trong Thong, _eExamination committee |
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_aGovernment of Denmark (DANIDA), _eScholarship donor |
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_aAsian Institute of Technology. _tThesis ; _vno. EV-11-23 |
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_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B02508 |
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_a.b12120893 _bmnait _cz |
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_a000:001:PDF:b1212089:001036:0:0:0:0:0:0 _tAbstract--AIT Thesis no.EV-11-23 _vn |
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