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Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China

机译:东部淮河流域利用多元干旱指数进行干旱评估

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The Huaihe River Basin having China's highest population density (662 persons per km~2) lies in a transition zone between the climates of North and South China, and is thus prone to drought. Therefore, the paper aims to develop an appropriate drought assessment approach for drought assessment in the Huaihe River basin, China. Based on the Principal Component Analysis of precipitation, evapotranspiration, soil moisture and runoff, the three latter variables of which were obtained by use of the Xin'anjiang model, a new multivariate drought index (MDI) was formulated, and its thresholds were determined by use of cumulative distribution function. The MDI, the Standardized Precipitation Index (SPI) and the self-calibrating Palmer Drought Severity Index (sc-PDSI) time series on a monthly scale were computed and compared during 1988, 1999/2000 and 2001 drought events. The results show that the MDI exhibited certain advantages over the sc-PDSI and the SPI in monitoring drought evolution. The MDI formulated by this paper could provide a scientific basis for drought mitigation and management, and references for drought assessment elsewhere in China.
机译:人口密度最高的淮河流域(662人每平方公里2)位于华北和华南气候之间的过渡带,因此容易发生干旱。因此,本文旨在开发一种合适的干旱评估方法,用于中国淮河流域的干旱评估。在降水,蒸散,土壤水分和径流的主成分分析的基础上,利用新安江模型获得了后三个变量,制定了一个新的多元干旱指数(MDI),并确定了其阈值。使用累积分布函数。计算并比较了1988年,1999/2000年和2001年干旱事件期间月度的MDI,标准降水指数(SPI)和自校准的Palmer干旱严重性指数(sc-PDSI)时间序列。结果表明,在监测干旱演变过程中,MDI与sc-PDSI和SPI相比显示出一定的优势。本文拟定的计量吸入器可以为缓解和管理干旱提供科学依据,并为中国其他地区的干旱评估提供参考。

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