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Methods for Assessing Expected Flood Potential and Variability: Southern Rocky Mountains Region

机译:评估预期洪水潜力和变异性的方法:落基山脉南部地区

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Enhanced understanding of flood hazards, and how they vary across regions and continents, is needed to help protect lives and develop more resilient communities. Using the greater Southern Rocky Mountains region as a study area, a novel methodology was developed to predict, rank, and communicate expected flood magnitudes across similar responding areas (zones). Using 463 streamgages, up to 93% of the variance was explained by regression models developed for 11 derived zones. These regressions define the expected flood potential of each zone, a term introduced to assist practitioners, policy makers, and the public in understanding what flood magnitudes can be expected given the maximum recorded streamgage floods in nearby watersheds. Discharges above the 90% prediction limit, the maximum likely flood potential, are considered extreme; departure above this limit denotes the degree of extremity. The seasonality of the largest 5% floods varied substantially between zones, with the greatest frequency in July, August, and September in some zones (due to the North American monsoon) and May and June in other zones (due to snowmelt and rainfall). Using the lowest flood potential zone as an index area, flood potential and hazard indices were developed for comparing flood hazards across broad regions. The largest floods occur in the southern portion of the eastern slopes of the Southern Rocky Mountains and the adjacent Great Plains, with these events being 15 times larger than floods experienced in central Colorado and New Mexico mountain valleys, on average for a given watershed area.Plain Language Summary Increased understanding of flood hazards, and how they vary, is needed to help protect lives and develop more resilient communities. Using the greater Southern Rocky Mountains region as a study area, a novel methodology was developed to predict, rank, and communicate flood hazards. Specifically, it is assumed that floods recorded in the last 135 years across similar areas referred to as zones can be used to predict what can be expected in the future. The expected flood potential was developed to communicate these predictions, with about half of the experienced floods in each of eleven zones being greater that this line, and the other half being less. The largest floods were identified and ranked using the maximum likely flood potential. Floods greater than this are unlikely but still possible and extreme. In contrast, the expected flood potential provides the flood magnitudes that are generally expected, given the historic record of floods. This method offers complimentary terminology to the commonly used but confusing term 100-year flood. Indices were also developed to compare how large and hazardous floods are in different zones, with floods in some areas being up to 15 times greater than other areas for streams with the same watershed size.
机译:需要进一步了解洪水灾害及其在各地区和各大洲之间的变化,以帮助保护生命和发展更具复原力的社区。使用更大的南部落基山脉地区作为研究区域,开发了一种新颖的方法来预测,分级和传达相似响应区域(区域)内的预期洪水幅度。使用463个流分类,通过为11个导出区域开发的回归模型可以解释高达93%的方差。这些回归定义了每个区域的预期洪灾潜力,该术语的引入是为了帮助从业人员,政策制定者和公众了解在给定的附近流域洪灾量最大的情况下可以预期的洪灾规模。超出90%的预测极限(最大可能洪灾)的流量被认为是极端的;超出此极限表示极限程度。区域之间最大的5%洪水的季节性变化很大,某些地区(由于北美季风)在7月,8月和9月的频率最高,而在其他地区(由于融雪和降雨)在5月和6月的频率最高。使用最低洪灾潜在区作为指标区域,开发了洪灾潜力和危害指数,以比较整个地区的洪灾危害。最大的洪水发生在南部落基山脉东坡的南部和邻近的大平原,这些事件平均是给定集水区平均科罗拉多州中部和新墨西哥山区的洪水的15倍。朴素的语言摘要需要更多地了解洪水灾害及其变化方式,以帮助保护生命和发展更具复原力的社区。使用更大的南部落基山脉地区作为研究区域,开发了一种新颖的方法来预测,分级和传达洪水灾害。具体而言,假设过去135年在类似区域(称为区域)中记录的洪水可用于预测未来可能发生的情况。开发了预期的洪水潜力来传达这些预测,在十一个区域中,大约一半的经历的洪水比该线大,而另一半则更少。确定最大的洪水并使用最大可能的洪水潜力进行排名。洪水泛滥的可能性不大,但仍然有可能甚至是极端的。相反,鉴于洪水的历史记录,预期的洪水潜力提供了通常预期的洪水幅度。此方法为常用但令人困惑的100年洪水术语提供了补充术语。还开发了指标以比较不同区域的洪灾规模和危险程度,对于分水岭大小相同的河流,某些地区的洪灾比其他地区的洪灾高出15倍。

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