基于空间插值的洪水淹没空间分布快速获取

结合空间数据和水文站点监测数据,以Kriging方法为理论基础,研究了一种洪水空间分布实时监测方法.运用空间统计学中的Kriging插值方法将一维水力学模型计算的断面数据内插成水面高程数据,对水面高程数据和研究区域地形数据进行分析,获得洪水淹没信息的空间分布.该方法可以弥补一维模型在空间分布分析上的弱势,并提高分析速度.本研究选取长江上游特定河段为实验区,验证和分析该研究方法的有效性.实验结果表明该方法能够有效实时监测洪水淹没信息的空间分布,其直观的淹没范围显示可快速为决策者提供预警信息,具有较好的应用价值.

Research on rapidly production of flood inundated distribution based on spatial interpolation

Combining spatial data and hydrology station monitoring data,a new approach of flood spatial distribution real-time monitoring approach is proposed based on Kriging method.1D hydraulic model results are interpolated into water surface level data using Kriging method; and then they are analyzed with terrain data.The spatial distribution of flood can be got with water surface and terrain data.This approach can not only make 1D hydraulic model better in spatial analysis but also speed up the calculation.A special upper reach of the Yangtze River is selected as test area to verify the efficiency of this approach.Experimental results approve the efficiency of this approach and comfirm that it has the characteristics of real-time calculation and high accuracy.