Urbanization of watersheds is known to increase the flood risk potentials. Since 1970, eastern Jeddah, Saudi Arabia, underwent rapid urbanization due to the high rate of population growth and the booming economy, which attracts hundreds of thousands of expatriates. Such urbanizations change drastically the flood characteristics and enhance the risk from such watersheds as shown in 2009 and 2011 severe floods. To investigate the general relationship between the increases in flood peaks following historical urbanization in eastern Jeddah watersheds, satellite remote sensing data and meteorological data are developed. The utilization of high-resolution remote sensing data in temporal data analysis resulted in high classification accuracies using support vector machine as a classifier algorithm. The study area was classified into five different types of land use/land cover to quantify the changes that occurred between the bare rock and bare soil land cover classes. Three different data sets of images were synchronized with rainfall records, and hydrological data are used via watershed modeling systems. Such models are also used to obtain a quantitative estimate of the current potential risks. It is concluded that on average, the peak flows and the volumes increased by about 119% and about 89%, respectively.

流域的城市化已知会增加洪水的潜在风险。自1970年以来，由于人口增长率高和经济蓬勃发展，沙特阿拉伯吉达东部经历了快速的城市化进程，吸引了成千上万的外籍人士。如2009年和2011年的严重洪灾所示，这种城市化会极大地改变洪灾特征，并增加此类流域的风险。为了调查吉达东部流域历史悠久的城市化进程后洪峰增加的一般关系，开发了卫星遥感数据和气象数据。高分辨率遥感数据在时间数据分析中的利用，使用支持向量机作为分类器算法，具有很高的分类精度。研究区域分为五种不同类型的土地利用/土地覆盖，以量化裸岩和裸土土地覆盖类别之间发生的变化。将三个不同的图像数据集与降雨记录同步，并通过分水岭建模系统使用水文数据。此类模型还用于获得当前潜在风险的定量估计。结论是，平均而言，峰值流量和体积分别增加了约119％和约89％。此类模型还用于获得当前潜在风险的定量估计。结论是，平均而言，峰值流量和体积分别增加了约119％和约89％。此类模型还用于获得当前潜在风险的定量估计。结论是，平均而言，峰值流量和体积分别增加了约119％和约89％。