用copula分析斯里兰卡阿努拉德普勒干旱严重程度和持续时间

E. Ekanayake, Kanthi Perera
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引用次数: 18

摘要

阿努拉德普勒地区是斯里兰卡最大的农作物生产区之一。但它经常受到干旱的影响,干旱给农业造成了严重的破坏。因此,识别干旱特征(干旱持续时间和干旱严重程度)及其联合概率分布对于最大限度地减少干旱的不利影响至关重要。利用3个月标准降水指数(SPI)确定了干旱特征。它是根据阿努拉德普勒邦1951年至2007年的月降雨量数据计算得出的。利用计算的SPI确定了46个干旱事件的发生。由于干旱变量的相关性,采用基于联结的联合分布来计算联合分布。将边际分布用联结公式组合得到联合分布。对五个联结进行了检验和比较,以找到最适合的联结来表示联合分布。利用AIC、BIC和Kolmogorov - Smirnov检验,确定了干旱持续时间和干旱严重程度的最佳边际分布为伽马分布。弗兰克·科普拉
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Drought Severity and Duration Using Copulas in Anuradhapura, Sri Lanka
Anuradhapura district is one of the largest agricultural crop production areas in Sri Lanka. But it is often affected by droughts and droughts caused severe damage for agricultural industry. Thus it is very important to identify the drought characteristics (drought duration and drought severity) and their joint probability distribution to minimize the adverse effects of droughts. Drought characteristics were defined using 3 - month standard precipitation index (SPI). It is calculated using monthly rainfall da ta from 1951 to 2007 in Anuradhapura. Occurrences of 46 drought events were indentified using the calculated SPI. Since dependency nature of the drought variables, copula based joint distribution was used to calculate the joint distribution. The joint dis tribution could be obtained by combining the marginal distributions using copula. Five copulas were examined and compared to find the best fitted copula to represent the joint distribution . The best marginal distributions were identified as the gamma distr ibutions for drought durations and drought severity using AIC, BIC and Kolmogorov - Smirnov test. Frank copula was
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