Defining the Z-R Relationship Using Gauge Rainfall with Coarse Temporal Resolution: Implications for Flood Forecasting

被引:10
|
作者
Mapiam, Punpim Puttaraksa [1 ]
Sharma, Ashish [2 ]
Sriwongsitanon, Nutchanart [1 ]
机构
[1] Kasetsart Univ, Fac Engn, Dept Water Resources Engn, Bangkok 10900, Thailand
[2] Univ New S Wales, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia
关键词
Radar rainfall; Rain gauge rainfall; Runoff estimation; Scaling; RAINDROP SIZE DISTRIBUTIONS; WEATHER RADAR; PRECIPITATION DATA; RIVER-BASIN; GAGE; VARIABILITY; MODEL;
D O I
10.1061/(ASCE)HE.1943-5584.0000616
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper demonstrates a procedure for deriving the Z-R relationship using poor temporal resolution gauge rainfall data and evaluates its impact on runoff forecasting in the upper Ping River Basin in Northern Thailand. The procedure is based on the use of a scaling logic to modify the Z-R relationship calibrated using daily (or other coarse) resolution ground rainfall data. This scaling procedure is demonstrated using daily gauge data and results in radar rainfall estimates that lead to improved runoff simulations and flood forecasts for the upper Ping River Basin compared with the case in which the daily (or raw) Z-R relationship is used or even when the daily gauge rainfall is used alone. This evaluation is based on hourly comparisons for the high rainfall season over a period of 3 years (2004-2006) at six point locations in the catchment. This scaling relationship has significant implications for flood modeling in most of the developing world that has weather radar coverage and a daily gauge network but a limited continuous ground rainfall measuring network. (C) 2014 American Society of Civil Engineers.
引用
收藏
页数:10
相关论文
共 23 条
  • [1] Effects of Rain Gauge Temporal Resolution on the Specification of a Z-R Relationship
    Mapiam, Punpim Puttaraksa
    Sriwongsitanon, Nutchanart
    Chumchean, Siriluk
    Sharma, Ashish
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2009, 26 (07) : 1302 - 1314
  • [2] Wavelet Filter Approach and Z-R Relationship in Meteorological Forecasting
    Jiwlong, Wallop
    Kangrang, Anongrit
    ADVANCES IN METEOROLOGY, 2015, 2015
  • [3] Continuous Forecasting and Evaluation of Derived Z-R Relationships in a Sparse Rain Gauge Network Using NEXRAD
    Rendon, Samuel H.
    Vieux, Baxter E.
    Pathak, Chandra S.
    JOURNAL OF HYDROLOGIC ENGINEERING, 2013, 18 (02) : 175 - 182
  • [4] Exploring the Transient Behavior of Z-R Relationships: Implications for Radar Rainfall Estimation
    Prat, Olivier P.
    Barros, Ana P.
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2009, 48 (10) : 2127 - 2143
  • [5] Climatological Z-R relationship for radar rainfall estimation in the upper ping river basin
    Mapiam, Punpim Puttaraksa
    Sriwongsitanon, Nutchanart
    SCIENCEASIA, 2008, 34 (02): : 215 - 222
  • [6] RESOLUTION CONSIDERATIONS IN USING RADAR RAINFALL DATA FOR FLOOD FORECASTING
    KOUWEN, N
    GARLAND, G
    CANADIAN JOURNAL OF CIVIL ENGINEERING, 1989, 16 (03) : 279 - 289
  • [8] Method for estimation of rain rate with Rayleigh and Mie scattering assumptions on the Z-R relationship for different rainfall types
    Arai, K
    Liang, XM
    Liu, Q
    ATMOSPHERIC REMOTE SENSING: EARTH'S SURFACE, TROPOSPHERE, STRATOSPHERE AND MESOSPHERE - I, 2005, 36 (05): : 813 - 817
  • [9] Assessment of rainfall estimates using a standard Z-R relationship and the probability matching method applied to composite radar data in central Florida
    Crosson, WL
    Duchon, CE
    Raghavan, R
    Goodman, SJ
    JOURNAL OF APPLIED METEOROLOGY, 1996, 35 (08): : 1203 - 1219
  • [10] Determination of the Z-R Relationship through Spatial Analysis of X-Band Weather Radar and Rain Gauge Data
    Bournas, Apollon
    Baltas, Evangelos
    HYDROLOGY, 2022, 9 (08)