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

机译:基于标准降水蒸散量的吉林省生长季干旱时空变化分析

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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.
机译:结合标准降水指数(SPI)和帕尔默干旱严重度指数(PDSI)的优势,在吉林省的不同时间尺度(1、3、6个月)上,基于月降水量,计算出标准的降水蒸散指数(SPEI)和温度数据,是由国家气象信息中心提供的对中国地面气候数据日数据集进行预处理后得到的。利用线性趋势分析,Mann-Kendall趋势检验,Mann-Kendall突变检验和空间插值法分析了生长期干旱的时空特征。结果表明,从1968年到10月,SPEI指数以10月SPEI-6指数下降约0.109 10 a-1,表明吉林省存在干旱趋势。但是,年际干旱波动,确定了此期间的干-湿-干-干模式,并且与1975、1985和1995年的三个转折点相关。通过使用SEPI-3分析季节性变化,我们发现秋季的干旱化趋势很明显。 SEPI-1在4月至10月的生长季节也有所减少。每月的SPEI(SPEI-1)表明,十月份的干旱总数最高,九月份排在第二位,不过,两个月的轻度干旱比其他年份多。 7月是干旱最严重的月份,远多于其他任何月份。 6月的严重干旱发生的频率更高,情况就像7月的中度干旱。极端干旱相对较少,在这50年中,每月大约12次。该地区干旱的空间分布不均且复杂。总体而言,西部地区是受灾最严重的地区,干旱频率最高,尤其是在西南行政区域和东南部其他地区。 10月的SPEI为六个月,表明极端干旱很少发生,仅在个别地区的东南部和西南部。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。大安,白城,通榆,中北部长春,Jia河,望庆等西部是中等干旱发生频率较高的地区。该地区大部分地区都经历了轻度干旱,并且在西南省份边界发生得更为频繁。研究结果可为吉林省的早期干旱预测和水资源与农业生产的风险管理提供科学依据。

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