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An improved model to estimate annual sand transport rate by sand-driving winds

机译:一种改进的模型来估计沙驾驶风的年度沙车

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Some of the surface on Earth, Mars, Venus, and Titan is covered by ripples, dunes, and other features formed by sand-driving winds. Many developing countries in arid and semiarid areas are caught in a dilemma between the threat of sandy desertification and the development of wind energy. The estimation for the probability of sand-driving winds has been rarely studied. The ability of two-parameter Weibull probability distribution to estimate sand-driving winds is questioned. Sand transport rate is used only for the evaluation of short-term aeolian activities. Drift potential (DP) is an accessible way of evaluating potential sand transport volume by sand-driving winds. However, the relationship among annual sand transport volume, DP and wind energy has been rarely studied. Sand-driving winds can be divided into gentle winds and strong winds, but it is hard to distinguish them and to quantify their effects on aeolian geomorphology. A function was constructed from expressions of sand transport rate and the two-parameter Weibull probability distribution to improve the estimation of sand-driving winds. On this basis, annual sand transport volume was accurately evaluated by sand-driving winds. This is applicable to arid and semiarid areas worldwide. The relationship among annual sand transport volume, DP and wind energy was analyzed from the perspective of dimensional analysis. Gentle winds and strong winds are distinguished by transport wind velocity at which aeolian activities on a sandy underlying surface reach the erosion-deposition balance, and which corresponds to annual maximum sand transport rate. On a sandy underlying surface strong winds control deposition, while gentle winds dominate wind erosion. The transport wind velocity is nearly constant, weakly related to the probability distribution of sand-driving winds. These results provide a basis for an improved understanding of aeolian activities as an important planetary surface process, sand control engineering, and wind energy development.
机译:地球、火星、金星和土卫六的一些表面被沙尘驱动的风形成的波纹、沙丘和其他特征所覆盖。干旱和半干旱地区的许多发展中国家陷入了沙漠化威胁与风能开发之间的两难境地。对沙驱风概率的估计很少被研究。双参数威布尔概率分布估计沙驱风的能力受到质疑。输沙率仅用于评估短期风成活动。漂移势(DP)是一种通过沙驱动风评估潜在输沙量的简便方法。然而,年输沙量、总输沙量和风能之间的关系却鲜有研究。沙驱风可分为微风和强风,但很难区分它们,也很难量化它们对风成地貌的影响。根据输沙率表达式和双参数威布尔概率分布构造了一个函数,以改进对风沙驱动风的估计。在此基础上,利用沙驱动风准确估算了年输沙量。这适用于全球干旱和半干旱地区。从量纲分析的角度分析了年输沙量、DP和风能之间的关系。微风和强风的区别在于沙下垫面上的风成活动达到侵蚀-沉积平衡时的输送风速,该风速对应于年最大输沙率。在沙质下垫面上,强风控制沉积,而微风控制风蚀。输送风速几乎是恒定的,与沙尘驱动风的概率分布关系不大。这些结果为进一步了解风成活动作为重要的行星表面过程、防沙工程和风能开发提供了基础。

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