AbstractGlobal Positioning System (

Abstract
Global Positioning System (GPS) receivers are widely installed throughout the Peninsular Malaysia, but the implementation for monitoring weather hazard system such as flash flood is still not optimal. To increase the benefit for meteorological applications, the GPS system should be installed in collocation with meteorological sensors so the precipitable water vapor (PWV) can be measured. The distribution of PWV is a key element to the Earth's climate for quantitative precipitation improvement as well as flash flood forecasts. The accuracy of this parameter depends on a large extent on the number of GPS receiver installations and meteorological sensors in the targeted area. Due to cost constraints, a spatial interpolation method is proposed to address these issues. In this paper, we investigated spatial distribution of GPS PWV and meteorological variables (surface temperature, relative humidity, and rainfall) by using thin plate spline (tps) and ordinary kriging (Krig) interpolation techniques over the Klang Valley in Peninsular Malaysia (longitude: 99.5°–102.5°E and latitude: 2.0°–6.5°N). Three flash flood cases in September, October, and December 2013 were studied. The analysis was performed using mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2) to determine the accuracy and reliability of the interpolation techniques. Results at different phases (pre, onset, and post) that were evaluated showed that tps interpolation technique is more accurate, reliable, and highly correlated in estimating GPS PWV and relative humidity, whereas Krig is more reliable for predicting temperature and rainfall during pre-flash flood events. During the onset of flash flood events, both methods showed good interpolation in estimating all meteorological parameters with high accuracy and reliability. The finding suggests that the proposed method of spatial interpolation techniques are capable of handling limited data sources with high accuracy, which in turn can be used to predict future floods.

Keywords
GPS water vapor; Flash flood; Klang Valley; Thin plate spline (tps); Ordinary kriging (Krig)

ผลลัพธ์ (อังกฤษ) 2:

Abstract
Global Positioning System (GPS) Receivers are widely installed throughout the Peninsular Malaysia, but the implementation for Flash Flood Monitoring Weather Hazard System is still not such as Optimal. To increase the benefit for meteorological applications, the GPS system should be installed in collocation with meteorological sensors so the precipitable water vapor (PWV) can be measured. The distribution of PWV is a key element to the Earth's climate for quantitative precipitation improvement as well as flash flood forecasts. The accuracy of this parameter depends on a large extent on the number of GPS receiver installations and meteorological sensors in the targeted area. Due to cost constraints, a spatial interpolation method is proposed to address these issues. In this paper, we investigated spatial distribution of GPS PWV and meteorological variables (surface temperature, relative humidity, and rainfall) by using thin plate spline (tps) and ordinary kriging (Krig) interpolation techniques over the Klang Valley in Peninsular Malaysia (longitude:. 99.5 ° -102.5 ° E and latitude: 2.0 ° -6.5 ° N). Three flash flood cases in September, October, and December 2013 were studied. The analysis was performed using mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2) to determine the accuracy and reliability of the interpolation techniques. Results at different phases (pre, onset, and post) that were evaluated showed that tps interpolation technique is more accurate, reliable, and highly correlated in estimating GPS PWV and relative humidity, whereas Krig is more reliable for predicting temperature and rainfall during pre-. flash flood events. During the onset of flash flood events, both methods showed good interpolation in estimating all meteorological parameters with high accuracy and reliability. Finding the Proposed suggests that the method of interpolation Techniques are Capable of Handling Limited Spatial Data sources with High accuracy, which in turn Can be used to predict floods Future. Keywords GPS Water Vapor; Flash flood; Klang Valley; Thin plate spline (tps); Ordinary kriging (Krig)

ผลลัพธ์ (อังกฤษ) 3:

Abstract
Global Positioning System (GPS) receivers are widely installed throughout the, Peninsular Malaysia but the implementation. For monitoring weather hazard system such as flash flood is still not optimal. To increase the benefit for Meteorological. Applications the GPS, system should be installed in collocation with meteorological sensors so the precipitable water vapor. (PWV) can be measured.The distribution of PWV is a key element to the Earth 's climate for quantitative precipitation improvement as well as flash. Flood forecasts. The accuracy of this parameter depends on a large extent on the number of GPS receiver installations and. Meteorological sensors in the targeted area. Due to cost constraints a spatial, interpolation method is proposed to address. These issues In, this paper.We investigated spatial distribution of GPS PWV and meteorological variables (surface temperature relative humidity and,,, Rainfall) by using thin plate spline (TPS) and ordinary Kriging (Krig) interpolation techniques over the Klang Valley in. Peninsular Malaysia (longitude: 99.5 ° - 102.5 ° E and latitude: 2.0 ° - 6.5 ° N). Three flash flood cases in September October,,, And December 2013 were studied.The analysis was performed using mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination. (R2) to determine the accuracy and reliability of the interpolation techniques. Results at different phases (pre onset,,, And post) that were evaluated showed that TPS interpolation technique is more accurate reliable,,And highly correlated in estimating GPS PWV and relative humidity whereas Krig, is more reliable for predicting temperature. And rainfall during pre - flash flood events. During the onset of flash, flood events both methods showed good interpolation. In estimating all meteorological parameters with high accuracy and reliability.The finding suggests that the proposed method of spatial interpolation techniques are capable of handling limited data. Sources with high accuracy which in, turn can be used to predict future floods.


GPS Keywords water vapor; Flash flood;? Klang Valley; Thin plate spline (TPS); Ordinary Kriging (Krig).