Analysis of Temporal and Spatial Variation of Growing Season Drought in Jiling Province Based on Standardized Precipitation Evapotranspiration Index

Weidan Wang, Li Sun, Zhiyuan Pei, Yuanyuan Chen, Xiaomei Zhang
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引用次数: 1

Abstract

A standardized precipitation evapotranspiration Index (SPEI), combining the advantage of standard precipitation index (SPI) and palmer drought severity index (PDSI), is computed at different time scales (1, 3, 6 months) in Jilin Province, based on monthly precipitation and temperature data, got after preprocessing of China surface climatological data daily data set provided by National Meteorological Information Center. The temporal and spatial characteristics of drought in growing season were analyzed using linear trend analysis, Mann-Kendall trend test, Mann-Kendall abrupt test, and spatial interpolation. The results showed that from 1968 to 2017, the SPEI decreased with a rate of 0.109 10 a-1 approximately based on SPEI-6 in October, indicating that there is drying trends in Jilin Province. However, inter-annual drought fluctuates, the pattern of wet-dry-wet-dry during this period is identified, and is associated with three turning year points of 1975, 1985, and 1995. Through using SEPI-3 to analyze seasonal variation, we find that the trend of aridification in autumn is significant. The SEPI-1 decreased in growing season, from April to October, too. Monthly SPEI (SPEI-1) demonstrates that the total number of droughts was the highest in October, September takes second place, nevertheless, mild drought in the two months is more than others. July is the month with the most moderate drought, and far more than in any other month. Severe drought in June happens more frequently, and the situation is like the moderate drought in July. Extreme drought is relatively less, about 12 times every month in these 50 years. Spatial distribution of drought in the district was heterogeneous and complexity. Totally, the western region was the most seriously affected area, with the highest drought frequency, especially along the southwest administrative line and separate region of the southeast. SPEI of six-month scale in October shows that extreme drought infrequently, only in the southeast and southwest of the individual areas; severe drought mainly distributes in the western region, especially Songyuan, Qianan, Changling, Siping and so on; Western such as Daan, Baicheng, Tongyu, North Central Changchun, Jiaohe, Wangqing etc., is where moderate drought happen more frequently; most of the area has experienced mild drought, and it happened more frequently along the southwest provincial boundaries. The results of this study may provide a scientific basis for early drought prediction and risk management of water resources and agricultural production in Jilin Province.
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基于标准化降水蒸散指数的吉林省生长季干旱时空变化分析
利用国家气象信息中心提供的中国地面气候资料日数据集,对逐月降水和气温资料进行预处理,得到吉林省不同时间尺度(1、3、6个月)的标准化降水蒸散发指数(SPEI),并结合标准降水指数(SPI)和帕尔默干旱严重程度指数(PDSI)的优点。采用线性趋势分析、Mann-Kendall趋势检验、Mann-Kendall突变检验和空间插值等方法分析了生长季干旱的时空特征。结果表明:1968 - 2017年,以SPEI-6为基准,吉林省10月SPEI下降速率约为0.109 10 a-1,表明吉林省存在干旱趋势;然而,年际干旱波动,在此期间确定了湿-干-湿-干模式,并与1975年、1985年和1995年三个转折点有关。利用SEPI-3进行季节变化分析,发现秋季干旱化趋势显著。SEPI-1在生长季节也呈下降趋势,从4月到10月。月SPEI (SPEI-1)显示,10月干旱总次数最多,9月次之,但两个月的轻度干旱多于其他月份。7月是干旱最温和的月份,而且远远超过其他任何一个月。6月严重干旱的发生频率更高,情况类似于7月的中度干旱。极端干旱相对较少,50年来每月约12次。该区干旱的空间分布具有异质性和复杂性。总体而言,西部地区是受干旱影响最严重的地区,干旱频率最高,特别是西南行政线和东南独立区域。10月6个月尺度的SPEI显示,极端干旱发生的频率较低,仅在个别地区的东南部和西南部出现;严重干旱主要分布在西部地区,特别是松原、迁安、长岭、四平等地;西部大安、白城、通玉、中北部长春、交河、王庆等为中旱多发地区;大部分地区经历了轻度干旱,西南省界发生的频率更高。研究结果可为吉林省水资源和农业生产的早期干旱预测和风险管理提供科学依据。
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