Abstract
Changes in the hydrological process caused by urbanization lead to frequent flooding in cities. For fast-growing urban areas, the impact of urbanization on the hydrological process needs to be systematically analyzed. This study takes Zhengzhou as an example to analyze the impact of urbanization on the hydrological process based on 1971–2012 hourly rainfall-runoff data, combining Geographic Information Systems with traditional hydrological methods. Our study indicates that the rain island effect in different districts of city became stronger with the increase of its built-up. The uneven land use resulted in the difference of runoff process. The flood peak lag was 25–30% earlier with the change of land use. The change of flood peak increased by 10–30% with the change of built-up. The runoff coefficient increases by 20–35% with the increase of built-up, and its change increased with the change of land use. Affected by the rain island effect, precipitation tends to occur in areas where built-up is dominant, which overall magnifies the impact of urbanization on the hydrological process. This provides new ideas for urban flood control. Refine flood control standards according to regional land use changes to cope with the hydrological process after urbanization.
Highlights
Significant changes have taken place in the urban hydrological process [1,2], such as the increase of peak and the reduction of water degeneration [3], and the increase of surface runoff [4]
We further analyzed the impact of land use change on the hydrological process on the basis of it, which found that the trend of runoff change in Zhengzhou on the city scale is mainly affected by changes in built-up land
The impact of urbanization on the hydrological process with Zhengzhou as an example was discussed in the study
Summary
Significant changes have taken place in the urban hydrological process [1,2], such as the increase of peak and the reduction of water degeneration [3], and the increase of surface runoff [4]. Land use change has the greatest impact on the wet years and the least on the dry years by analyzing the annual runoff process in wet years (20%), normal years (50%), and dry years (90%) with using the hydrologic statistics method and verified model, which is quite different from Liu [40]. All these studies show that simulating annual or daily runoff processes cannot.
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