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Characteristics of rainfall-radar reflectivity relationship over Lower Northern Thailand

机译:泰国下北部降雨-雷达反射率关系的特征

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According to the regularly flash flood and landslide occurrences over the lower Northern area in past decade, the appropriate warning system development has been considered more serious in Thailand. Unfortunately, these disaster events mostly occur in the mountainous area, where not only the rain gauges are scarcity and absence, but also the power supply is unavailable. Radar stations had been installed in Thailand for a couple decades, of which the active radius covers the whole area of the country. Therefore, the rainfall detection from radar information becomes one of the interesting approaches to develop effective warning system. Since, the rainfall (R)-radar reflectivity (Z) could be expressed in linear or empirical power function, the investigation of characteristics of Z-R relationship for this risky flash flood area was undertaken under the collaboration between Thai Meteorological Department (TMD) and Naresuan University(NU). Phitsanulok radar station, located in the middle of lower Northern Thailand, was selected to study. The installed radar in this station is DWSR-74C Doppler radar of which active radius is 240 km. The rainfall events during August-September 2007 were analyzed for Z-R relationship. In the study, two techniques of spatial Probability Technique (SPT) and Buffer Probability Technique (BPT) were proposed. These techniques were developed based on GIS basic function and probability matching method. Using these two techniques, the Z-R pairs can be analyzed for both linear and empirical power relationship. It is found that empirical power function is more appropriate to describe Z-R relationship than linear function for the studied area. However, this research is just the early state of Z-R relationship investigation; the warning system development needs further study on the other parameters that relevant to rainfall and flash flood occurrence.
机译:根据过去十年来北部北部地区经常发生的山洪暴发和滑坡事件,泰国认为适当的预警系统发展更为严重。不幸的是,这些灾难事件大多发生在山区,那里不仅雨量稀少且缺水,而且电源也不可用。雷达站已经在泰国安装了几十年,其中有效半径覆盖了整个国家。因此,利用雷达信息进行降雨检测成为开发有效预警系统的有趣途径之一。由于降雨(R)-雷达反射率(Z)可以表示为线性或经验幂函数,因此在泰国气象厅(TMD)和Naresuan的合作下,对该危险山洪区的ZR关系特征进行了调查。大学(NU)。位于泰国北部中部的彭世洛雷达站被选中进行研究。该站安装的雷达是DWSR-74C多普勒雷达,其有效半径为240公里。分析了2007年8月至9月的降雨事件的Z-R关系。在研究中,提出了空间概率技术(SPT)和缓冲区概率技术(BPT)两种技术。这些技术是基于GIS基本功能和概率匹配方法开发的。使用这两种技术,可以分析Z-R对的线性和经验功率关系。发现对于研究区域,经验幂函数比线性函数更适合描述Z-R关系。但是,这项研究只是Z-R关系研究的早期阶段。预警系统的发展需要进一步研究与降雨和山洪发生有关的其他参数。

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