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Site- and rainfall-specific runoff coefficients and critical rainfall for mega-gully development in Kinshasa (DR Congo)

机译:金沙萨(刚果民主共和国)大型沟壑发展的特定地点和降雨径流系数和临界降雨

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This article presents a field-based method to assess site-and rainfall-specific runoff coefficients to be expected for a given period of the year. The method is applied to recognize soil uses/covers leading to reduced runoff water supply of gullies in Kinshasa. The computation of the runoff coefficient needs an infiltration envelope, established on site during a period of interest, and a local pluviogram decomposed in pluviophases. Rainfall simulation is carried out in 35 representative urban sites located in gully runon areas to establish a site-specific infiltration envelope. The runoff coefficient of the 35 sites is calculated for 25 geomorphologically active rains recorded between 1975 and 2012. The results show that several site-specific characteristics control runoff coefficient. The first factor is the over-compaction of the soil. Earthen roads show a runoff coefficient of 96.0 %. The second factor is the presence of a lichen seal. Bare loose soil only colonized by a lichen seal shows a runoff coefficient of 40.7 %. For the other sites, the runoff coefficient is inversely proportional to the percentage of vegetation soil cover, a normally compacted bare soil having a runoff coefficient of up to 30 %, parcels with high grass or cultures providing complete coverage showing no runoff at all. However, mowed lawns develop an impervious root mat close to the surface and, therefore, do not follow this rule: They quickly produce runoff similar to the bare and compacted surfaces. Finally, the factor slope gradient is involved. The differences due to vegetation cover disappear gradually with decreasing slope. Below a slope gradient of 0.08 m m(-1), the runoff coefficient is null on a bare surface. Currently, the critical rainfall for gullying in the high town of Kinshasa is 24.9 mm with a mean intensity of 21.8 mm h(-1). Roads generate by far most runoff and, therefore, are considered as the primary reason for gullying. The other soil uses lead most of the time to much smaller runoff coefficients, but their relative contribution to the supply of gullies grows with rainfall increase in height and intensity. The results provide material for gully management and adaptation strategies and open perspectives for the development of an early warning system in the region of Kinshasa. The method shows potential for being applied in other urbanized environments.
机译:本文提出了一种基于现场的方法来评估特定年份和特定年份降雨特定的径流系数。该方法用于识别土壤用途/覆盖物,从而导致金沙萨的雨水径流减少。径流系数的计算需要在感兴趣的时间段内在现场建立的渗透包膜和在胶相中分解的局部胶相图。对位于沟壑小径地区的35个代表性城市站点进行了降雨模拟,以建立特定于站点的渗透信封。针对1975年至2012年记录的25次地貌活跃降雨,计算了35个站点的径流系数。结果表明,几个站点特定的特征控制着径流系数。第一个因素是土壤的过度压实。土路的径流系数为96.0%。第二个因素是地衣密封的存在。仅由地衣封住的裸露裸土显示径流系数为40.7%。对于其他地点,径流系数与植被土壤覆盖率,径流系数高达30%的通常压实的裸露土壤,高草丛或提供完全覆盖的耕种覆盖完全没有径流的百分比成反比。但是,修剪过的草坪在表面附近会形成不透水的根垫,因此,请不要遵循以下规则:它们会迅速产生类似于裸露和压实表面的径流。最后,涉及因子斜率梯度。随着坡度的减小,植被覆盖的差异逐渐消失。低于0.08 m m(-1)的坡度时,裸露表面上的径流系数为零。当前,在金沙萨(Kinshasa)高城镇中,沟壑的临界降雨量为24.9 mm,平均强度为21.8 mm h(-1)。迄今为止,道路产生的径流最多,因此被认为是造成沟壑的主要原因。在大多数情况下,其他土壤利用导致径流系数更小,但随着高度和强度的增加,它们对沟渠供应的相对贡献也会增加。研究结果为沟壑管理和适应战略提供了材料,为金沙萨地区预警系统的发展提供了开放的视角。该方法显示出在其他城市化环境中应用的潜力。

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