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 หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Air Temperature and Actual Evapotranspiration Correlation Using Landsat 5 TM Satellite Imagery) ผู้เขียน: นางสาวปรียาพร โกษา, อาจารย์ สื่อสิ่งพิมพ์:pdf AbstractActual evapotranspiration is a significant component of the water cycle and it is a function of weather data. Moreover, it is difficult to measure. Air temperature is normally measured in a number of weather stations. Since temperature relates to many other weather variables, temperature can be used to infer the characteristics of other weather data. For example, high temperature is associated with low humidity but high evaporation can occur under conditions of high temperature. Thus, the purpose of this study was to determine the relationship between air temperature and actual evapotranspiration. To achieve this objective, spatial temperature and spatial actual evapotranspiration were calculated using the concept of surface energy balance in conjunction with Landsat 5 TM satellite imagery. Thereafter, actual evapotranspiration for each temperature was averaged. Finally, the relationship between air temperature and actual evapotranspiration was determined using a polynomial equation. The results showed that the mean air temperature and the daily mean actual evapotranspiration were 296.4 ?K (23.4 ?C) and 4.1 mm, respectively. The temperature in Kelvin, could be explained by the equation y = -0.028x2 + 17.069x - 2593.2, where y is the actual evapotranspiration (mm.) and x is the temperature. The equation can be applied to estimate the actual evapotranspiration when the temperature is known. Thereafter, daily actual evapotranspiration is defined when the reference evapotranspiration calculated from weather data in the same area is also known. |
หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Estimation of Spatial and Temporal Reference Evapotranspiration in the Chao Phraya River Basin) ผู้เขียน:นางสาวปรียาพร โกษา, อาจารย์, ดร.กอบเกียรติ ผ่องพุฒิ, รองศาสตราจารย์ สื่อสิ่งพิมพ์:pdf AbstractIn the hydrological cycle and water use, evapotranspiration is one of the most important components because it represents a loss of usable water from the hydrologic supply. The purposes of this research are to calculate spatial and temporal reference evapotranspiration using FAO Penman- Monteith and Kriging methods and to determine the relationship between mean monthly temperature and monthly reference evapotranspiration. To achieve the first purpose, daily reference evapotranspiration from 1971 to 2002 was computed for each weather station using the FAO Penman-Monteith method. The average of monthly reference evapotranspiration in each weather station was figured. Thereafter, monthly reference evapotranspiration, that is point reference evapotranspiration, was interpolated using the Kriging interpolation. The result of this calculation is spatial reference evapotranspiration or reference evapotranspiration map from January to December (temporal). After spatial and temporal reference evapotranspiration was calculated, the relationship between mean monthly temperature and mean monthly reference evapotranspiration was figured. The result shows that linear regression and polynomial analysis can be used to explain this relationship. |
หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Spatial and Temporal Distribution of Irrigation Requirements in the Chao Phraya River Basin, Thailand) ผู้เขียน:นางสาวปรียาพร โกษา, อาจารย์, ดร.กอบเกียรติ ผ่องพุฒิ, รองศาสตราจารย์, ดร.ศุภกิจ นนทนานันท์, รองศาสตราจารย์ ,  Pakdee Khobklag สื่อสิ่งพิมพ์:pdf AbstractThe tendency towards increasingly-higher water demands than in the past has increased the importance of improving water resource management. Responsible water resource management is facilitated by quantifying the irrigation requirements for given land uses. The goal of this study was to determine the spatial distribution of the irrigation requirements in the eight sub-basins of the Chao Phraya River basin, Thailand. To achieve this goal, actual evapotranspiration was determined by the SEBAL and the FAO Penman-Monteith equations while precipitation was recorded from TRMM satellite images and rain gauge stations. The irrigation requirement was calculated by subtracting the amount of actual evapotranspiration from the measured precipitation. The results of the study concluded that the Ping, Wang and Yom sub-basins had sufficient precipitation for all land uses. For the Nan, Sakae Krang and Pasak sub-basins, there was sufficient precipitation for all land uses except in areas that had existing irrigation infrastructure and thus there is a need for water that is not naturally supplied to support some land uses. For the Tha Chin and Chao Phraya sub-basins there was insufficient precipitation for all land uses. Additional water for these two sub-basins could be sourced from the surplus water from the Ping, Wang, Yom and Nan sub-basins that flowed into the Chao Phraya sub-basin and could also be diverted to the Tha Chin sub-basin. |
หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Agricultural Production Forecasting Using Planning Distribution Model (PDM):A Case Study of the Nam Oon Project) ผู้เขียน:นางสาวปรียาพร โกษา, อาจารย์, ดร.กอบเกียรติ ผ่องพุฒิ, รองศาสตราจารย์ สื่อสิ่งพิมพ์:pdf AbstractFor forecasting agricultural production to design cropping patterns and to utilize water effectively, a computerized agricultural production monitoring system named PDM was selected. The Nam Oon irrigation project was chosen as a case study. PDM was used for agricultural production forecasting in the Nam Oon project for ten cultivation seasons from the 1995 wet season to the 2000 dry season. The factors affecting flow in the canal and the agricultural production forecasting equation were also investigated. In the wet season, the highest efficiency was achieved when 60% of the command area was planted with rice because of high production comparing to planted area and lowest insufficient water area. In dry season, command area can be increased about 100% comparing to the past for rice, field crop, and farm crop area because of sufficient water. Water management index of early wet season was less than 1 and end of wet season was greater than 1 while in dry season was greater than 1. It means that planted area in dry season can be increased. |
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