本文基于CRU降水数据,采用线性趋势法、Mann-Kendall突变检验法,分析了1990~2023年黑龙江省年际以及四季降水时空变化特征。结果表明:1990~2023年,黑龙江省地区除春季外,年际、夏、秋、冬降水量均呈不显著增加趋势。从空间上看,黑龙江...本文基于CRU降水数据,采用线性趋势法、Mann-Kendall突变检验法,分析了1990~2023年黑龙江省年际以及四季降水时空变化特征。结果表明:1990~2023年,黑龙江省地区除春季外,年际、夏、秋、冬降水量均呈不显著增加趋势。从空间上看,黑龙江省年降水呈中部多、东西少的空间分布格局,其中降水集中区主要分布在伊春–绥化–哈尔滨一带。黑龙江省夏季大部分地区平均雨量超过1000 mm;冬季大部分地区平均雨量在73 mm左右;秋季降水与年平均降水的空间分布较为一致,降水量由中部向东西两侧不断递减。Based on CRU precipitation data, this paper analyzes the spatio-temporal changes of inter-annual and four-season precipitation in Heilongjiang Province from 1990 to 2023 by using linear trend method and Mann-Kendall mutation test method. The results showed that the interannual, summer, autumn and winter precipitation showed no significant increase trend during 1990~2023, except spring. From the spatial perspective, the annual precipitation in Heilongjiang Province is more in the middle and less in the east and the west, and the precipitation concentration area is mainly distributed in the Yichun-Suihua-Harbin area. The average rainfall in most areas of Heilongjiang Province in summer is more than 1000 mm. The average rainfall in most areas in winter is about 73 mm;The spatial distribution of autumn precipitation is consistent with the annual average precipitation, and the precipitation decreases from the middle to the east and west sides.展开更多
本文基于CRU气温数据,采用Mann-Kendall突变检验、线性趋势法,分析了1990~2022年东北地区年际以及四季气温时空变化特征。结果表明:1990~2022年东北地区年际、春、夏、秋三个季节均呈不显著增温趋(P > 0.05),冬季呈不显著降温趋势(P ...本文基于CRU气温数据,采用Mann-Kendall突变检验、线性趋势法,分析了1990~2022年东北地区年际以及四季气温时空变化特征。结果表明:1990~2022年东北地区年际、春、夏、秋三个季节均呈不显著增温趋(P > 0.05),冬季呈不显著降温趋势(P > 0.05)。年际及四季空间格局基本一致均呈现自北向南的环状升温空间分布格局,高值区在东北南部地区,低值区在北部地区。空间变化趋势上,全域均呈现增温或降温趋势,但显著变化区域相对较少。Based on the CRU temperature data, this paper analyses the characteristics of interannual as well as four-seasonal spatial and temporal temperature changes in the Northeast region from 1990 to 2022 using the Mann-Kendall mutation test and linear trend method. The results show that there is a non-significant warming trend (P > 0.05) in the interannual, spring, summer and autumn seasons, and a non-significant cooling trend (P > 0.05) in the winter season in the Northeast region from 1990 to 2022. The spatial pattern of the interannual and four seasons were basically consistent with the spatial distribution pattern of ring warming from north to south, with the high value area in the southern part of the Northeast and the low value area in the northern part. In terms of spatial change trend, the whole region shows a warming or cooling trend, but there are relatively few regions with significant changes.展开更多
文摘本文基于CRU降水数据,采用线性趋势法、Mann-Kendall突变检验法,分析了1990~2023年黑龙江省年际以及四季降水时空变化特征。结果表明:1990~2023年,黑龙江省地区除春季外,年际、夏、秋、冬降水量均呈不显著增加趋势。从空间上看,黑龙江省年降水呈中部多、东西少的空间分布格局,其中降水集中区主要分布在伊春–绥化–哈尔滨一带。黑龙江省夏季大部分地区平均雨量超过1000 mm;冬季大部分地区平均雨量在73 mm左右;秋季降水与年平均降水的空间分布较为一致,降水量由中部向东西两侧不断递减。Based on CRU precipitation data, this paper analyzes the spatio-temporal changes of inter-annual and four-season precipitation in Heilongjiang Province from 1990 to 2023 by using linear trend method and Mann-Kendall mutation test method. The results showed that the interannual, summer, autumn and winter precipitation showed no significant increase trend during 1990~2023, except spring. From the spatial perspective, the annual precipitation in Heilongjiang Province is more in the middle and less in the east and the west, and the precipitation concentration area is mainly distributed in the Yichun-Suihua-Harbin area. The average rainfall in most areas of Heilongjiang Province in summer is more than 1000 mm. The average rainfall in most areas in winter is about 73 mm;The spatial distribution of autumn precipitation is consistent with the annual average precipitation, and the precipitation decreases from the middle to the east and west sides.
文摘本文基于CRU气温数据,采用Mann-Kendall突变检验、线性趋势法,分析了1990~2022年东北地区年际以及四季气温时空变化特征。结果表明:1990~2022年东北地区年际、春、夏、秋三个季节均呈不显著增温趋(P > 0.05),冬季呈不显著降温趋势(P > 0.05)。年际及四季空间格局基本一致均呈现自北向南的环状升温空间分布格局,高值区在东北南部地区,低值区在北部地区。空间变化趋势上,全域均呈现增温或降温趋势,但显著变化区域相对较少。Based on the CRU temperature data, this paper analyses the characteristics of interannual as well as four-seasonal spatial and temporal temperature changes in the Northeast region from 1990 to 2022 using the Mann-Kendall mutation test and linear trend method. The results show that there is a non-significant warming trend (P > 0.05) in the interannual, spring, summer and autumn seasons, and a non-significant cooling trend (P > 0.05) in the winter season in the Northeast region from 1990 to 2022. The spatial pattern of the interannual and four seasons were basically consistent with the spatial distribution pattern of ring warming from north to south, with the high value area in the southern part of the Northeast and the low value area in the northern part. In terms of spatial change trend, the whole region shows a warming or cooling trend, but there are relatively few regions with significant changes.
