已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Analyzing the Application of X-Band Radar for Improving Rainfall Observation and Flood Forecasting in Yeongdong, South Korea

雷达 雨量计 环境科学 气象雷达 大洪水 气象学 遥感 降水 地质学 地理 计算机科学 电信 考古
作者
Seong-Sim Yoon,Sanghun Lim
出处
期刊:Remote Sensing [Multidisciplinary Digital Publishing Institute]
卷期号:14 (1): 43-43 被引量:5
标识
DOI:10.3390/rs14010043
摘要

The mountainous Yeongdong region of South Korea contains mountains over 1 km. Owing to this topographic blockage, the region has a low-density rain-gauge network, and there is a low-altitude (~1.5 km) observation gap with the nearest large S-band radar. The Korean government installed an X-band dual-polarization radar in 2019 to improve rainfall observations and to prevent hydrological disasters in the Yeongdong region. The present study analyzed rainfall estimates using the newly installed X-band radar to evaluate its hydrological applicability. The rainfall was estimated using a distributed specific differential phase-based technique for a high-resolution 75 m grid. Comparison of the rainfall estimates of the X-band radar and the existing rainfall information showed that the X-band radar was less likely to underestimate rainfall compared to the S-band radar. The accuracy was particularly high within a 10 km observation radius. To evaluate the hydrological applicability of X-band radar rainfall estimates, this study developed a rain-based flood forecasting method—the flow nomograph—for the Samcheok-osib stream, which is vulnerable to heavy rain and resultant floods. This graph represents the flood risk level determined by hydrological–hydraulic modeling with various rainfall scenarios. Rainfall information (X-band radar, S-band radar, ground rain gauge) was applied as input to the flow nomograph to predict the flood level of the stream. Only the X-band radar could accurately predict the actual high-risk increase in the water level for all studied rainfall events.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
江蹇完成签到,获得积分20
刚刚
桃李春风一杯酒完成签到,获得积分10
刚刚
1秒前
3秒前
ding应助生米A吴采纳,获得10
4秒前
科研通AI5应助苹果乐松采纳,获得10
4秒前
5秒前
传奇3应助王秉文8811采纳,获得10
5秒前
海豚关注了科研通微信公众号
5秒前
6秒前
科研狗完成签到,获得积分10
7秒前
ShiYanYang完成签到,获得积分10
7秒前
球球完成签到 ,获得积分10
8秒前
科研通AI5应助愉快的定帮采纳,获得10
8秒前
9秒前
传奇3应助大胆的语堂采纳,获得10
11秒前
柔弱藏今发布了新的文献求助10
11秒前
milv5发布了新的文献求助10
11秒前
NexusExplorer应助Tokgo采纳,获得10
11秒前
研友_ndPgjn应助xuan采纳,获得100
13秒前
14秒前
lq发布了新的文献求助10
14秒前
科研通AI5应助Caixtmx采纳,获得10
15秒前
17秒前
18秒前
18秒前
chloe完成签到,获得积分10
18秒前
xjcy应助Anthony采纳,获得10
18秒前
slugger发布了新的文献求助10
21秒前
22秒前
22秒前
23秒前
搜集达人应助Billy采纳,获得20
24秒前
共享精神应助yhtu采纳,获得10
25秒前
852应助无心的雅旋采纳,获得10
26秒前
lxy发布了新的文献求助10
27秒前
27秒前
28秒前
恐怖稽器人完成签到,获得积分10
30秒前
SciGPT应助XinFeng采纳,获得30
31秒前
高分求助中
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
いちばんやさしい生化学 500
The First Nuclear Era: The Life and Times of a Technological Fixer 500
Avialinguistics:The Study of Language for Aviation Purposes 270
Andrew Duncan Senior: Physician of the Enlightenment 240
University-Industry Collaboration and the Success Mechanism of Collaboration 210
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3681383
求助须知:如何正确求助?哪些是违规求助? 3233330
关于积分的说明 9808242
捐赠科研通 2944810
什么是DOI,文献DOI怎么找? 1614944
邀请新用户注册赠送积分活动 762388
科研通“疑难数据库(出版商)”最低求助积分说明 737381