Отрывок: Classification of erosion parameter Class Erosion (ton/ha/year) Weightage Very low < 20 1 Low 20 – 80 2 Average 80 – 200 3 High 200 – 450 4 Very high 450 < 5 Table 6. Calculation of erosion danger level based on soil thickness and erosion Soil thickness Erosion class 1 2 3 4 5 5 I II III IV V 4 II III IV V V 3 III IV V V V 2 IV V V V V 1 V V V V V Table 7. Classification of erosion danger level Class Erosion danger level Weightage Area Km2 % ...
Название : Food vulnerability analysis in the central dry zone of Myanmar
Авторы/Редакторы : Boori, M.S.
Choudhary, K.
Paringer, R.A.
Evers, M.
Ключевые слова : food vulnerability
alluvial farming
remote sensing
Дата публикации : Авг-2017
Издательство : Самарский университет
Библиографическое описание : Boori MS, Choudhary K, Paringer RA, Evers M. Food vulnerability analysis in the central dry zone of Myanmar. Computer Optics 2017; 41(4): 552-558.
Серия/номер : 41;4
Аннотация : The central dry zone of Myanmar is the most water stressed and also one of the most food insecure regions in the country. In the Dry Zone, the total population is 10.1 million people in 54 townships, in which approximately 43 % of people live below the poverty line and 40 – 50 % of the rural population is landless. Agriculture is the most important economic sector in Myanmar as it is essential for the national food security and a major source of livelihood of the people. In this region the adverse effects of climate change such as a late or early onset of the monsoon season, longer dry spells, erratic rainfall, increasing temperatures, heavy rains, stronger typhoons, extreme spatial-temporal variability of rainfall, high intensities, limited rainfall events in the growing season, heat stress, drought, flooding, sea water intrusion, land degradation, desertification, deforestation, and other natural disasters are believed to be major constraints to food security. Theses extreme climatic events are likely to increase in frequency and magnitude, leading to serious drought periods and extreme floods. Food insecurity is an important thing that must be reviewed because it affects the lives of many people. For food vulnerability, we use the following indicators: slope, precipitation, vegetation, soil, erosion, land degradation and harvest failure in ArcGIS software. The erosion is influenced by rainfall and slope, while land degradation is directly related to vegetation, drainage and soil. In the meantime, the harvest failure can be generated by rainfall and flood potential zones. The results show that around 45 % of the area studied comes under a very high erosion danger level, 70 % are in the average harvest failure zone, 59 % are in the intermediate land degradation area, and overall around 45 % of the studied area comes under the insecure food vulnerability zone. Our analysis shows that an increase in the alluvial farming by 1745.33 km2 since 1988 has helped reduce the insecure food vulnerability. The food vulnerability map is also relevant to increased population and low income areas. This paper is helpful for identifying the areas of food needs in central dry zone of Myanmar.
URI (Унифицированный идентификатор ресурса) : https://dx.doi.org/10.18287/2412-6179-2017-41-4-552-558
Другие идентификаторы : Dspace\SGAU\20171020\65758
ГРНТИ: 29.31.15
Располагается в коллекциях: Журнал "Компьютерная оптика"

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