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Land use change increases flood hazard: a multi-modelling approach to assess change in flood characteristics driven by socio-economic land use change scenarios

机译:土地利用变化提高了洪水危害:评估社会经济土地利用变化情景驱动的洪水特征变化的多建模方法

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We analysed in the work how change in land use/land cover influences on flood characteristics (frequency and magnitude) using a model inter-comparison approach, statistical methods and two land use scenarios (land use scenario A and land use scenario B) for three time horizons. The derived land use maps from these scenarios were considered as forcing inputs to two physically based hydrological models (SWAT and WaSiM). The generalized Pareto distribution combined with the Poisson distribution was used to compute flood frequency and magnitude. Under land use scenario A, croplands increase at the annual rate of 0.7% while under land use scenario B, it increases by 1.13% between 2003 and 2029. The expansion of croplands indubitably enhances flood risks. Although there was a general agreement about the sense of the variation, the magnitude of change in flood characteristics was highly influenced by the model type. The rate of increase in flood quantiles simulated from SWAT (0.36-1.3% for 10-year flood) was smaller than the corresponding magnitude of changes simulated from WaSiM (2.6-7.0% for 10-year flood) whatever the scenarios. The expansion of agricultural and pasture lands at the yearly rate of 0.7% under land use scenario A (respectively, 1.13% under land use scenario B) leads to an increase of 3.6% (respectively, 5.4%) in 10-year flood by considering WaSiM. This study is among the first of its kind to establish a strong statistical relation between flood severity/frequency and agricultural land expansion and natural vegetation reduction. The results of this study are relevant and useful to the scientific research community as well as the decision makers for framing appropriate policy decisions towards the management of extreme events and the land use planning/management in future in the region.
机译:我们在工作中分析了利用模型相互比较方法,统计方法和三个土地使用场景(土地使用场景A和土地使用方案B)的洪水特性(频率和幅度)如何改变土地使用/土地覆盖对洪水特征(频率和幅度)的影响时间范围。来自这些方案的派生土地使用地图被认为是强调两个物理基础水文模型(SWAT和WASIM)的输入。与泊松分布相结合的广义静脉分布用于计算洪水频率和幅度。在土地利用方案A下,农田在土地利用方案B下的每年增加0.7%时,2003年至2029年之间的增加1.13%。粮食群地区的扩张可促进洪水风险。虽然有关于变异感的一般协议,但洪水特征变化的程度受模型类型的影响。从SWAT模拟的洪水量增加率(10年洪水0.36-1.3%)小于来自WASIM模拟的相应变化(10年洪水的2.6-7.0%)。农业和牧场在土地使用情况下的每年率为0.7%(分别为1.13%,在土地使用情况B下,分别为1.13%),通过考虑,10年洪水增加了3.6%(分别为5.4%) wasim。本研究首先,建立了洪水严重/频率和农业土地扩张与自然植被之间的强大统计关系。该研究的结果对于科学研究界以及决策者来说是有用的,并且在该地区将来框架适当的政策决策以及在该地区的未来将来框架管理极端事件和土地利用规划/管理。

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