基于黑龙江省62个气象台站1961-2019年逐日气象资料,利用联合国粮农组织(FAO)推荐的方法计算大豆需水量,应用美国农业部土壤保持局推荐的方法计算有效降水,采用M-K检验、GIS反距离加权插值等方法分析黑龙江省大豆各生育阶段水分盈亏指...基于黑龙江省62个气象台站1961-2019年逐日气象资料,利用联合国粮农组织(FAO)推荐的方法计算大豆需水量,应用美国农业部土壤保持局推荐的方法计算有效降水,采用M-K检验、GIS反距离加权插值等方法分析黑龙江省大豆各生育阶段水分盈亏指数及干旱与洪涝演变特征。结果表明:黑龙江省大豆生长季内有效降水在开花以前主要呈增加趋势,开花及以后主要呈减少趋势;大豆需水量在第三真叶期以前主要呈增加趋势,第三真叶期及以后呈减少趋势,结荚-鼓粒期和鼓粒-成熟期减少趋势最为显著。大豆生长季内水分盈亏指数(Crop water surplus deficit index,CWSDI)中部偏东地区和最北部地区最高,东部高于西部;开花-结荚期和结荚-鼓粒期CWSDI最低,鼓粒-成熟期最高。洪涝多发于偏北部地区,东部多于西部,出苗-第三真叶期洪涝发生站次最多。干旱发生频次高于洪涝,西部或西南部干旱发生频率高于东部,中部和北部最低,干旱多发生于开花-鼓粒期。展开更多
The dry and windy climate and low ground cover in spring in the black soil region of Northeast China make the soil strongly affected by wind erosion,which seriously threatens the food security and ecological security ...The dry and windy climate and low ground cover in spring in the black soil region of Northeast China make the soil strongly affected by wind erosion,which seriously threatens the food security and ecological security of this region.In this paper,based on the daily observation data of 124 meteorological stations in study area from 1961 to 2020,seasonal and monthly wind erosion climate factor(C)in spring(March to May)were calculated by using the method proposed by the Food and Agriculture Organization of the United Nations(FAO),the wind erosion characterization in spring were systematically analyzed based on C by various statistical analysis methods.The results showed that in the past 60 years,spring wind erosion climate factor(CSp)and monthly C of the whole region and each province(region)all showed highly significant decreasing trend,but they began to show rebounded trend in the middle or late 2000s.CSp of the study area showed a significant upward trend since 2008 with an increase of 4.59(10a)^(-1).The main contributors to this upward trend are the changes of C in March and in April.For the four provinces(regions),CSp in Heilongjiang,Jilin,Liaoning and eastern Inner Mongolia all showed rebounded since 2008,2011,2008 and 2009,respectively.The rebounded trend of CSp in eastern Inner Mongolia was the most obvious with a tendency rate of 11.27(10a)^(-1),and its mutation occurred after 1984.The rebound trend of CSp in Heilongjiang Province takes the second place,with a trend rate of 4.72(10a)^(-1),but there’s no obvious time mutation characteristics.The spatial characteristics of CSpand monthly C are similar,showing decreasing characteristics centered on the typical black soil belt of Northeast China.Compared with 1961-1990,in the period from 1991 to 2020,the proportion of high value areas(CSp>35,monthly C>10)has decreased to varying degrees,while the proportion of low value areas(CSp≤10,monthly C≤4)has increased.The trends of seasonal and monthly C in 82.2%~87.7%of the stations show significant decreases at 95%confidence level.CSp is closely related to wind speed at 2m height,temperature difference,minimum temperature and precipitation in the same period,of which the correlation between CSp and wind speed is the strongest,indicating that the main control factor for CSp in the study area is wind speed,but the impact of the change of temperature and precipitation on CSp cannot be ignored.展开更多
文摘基于黑龙江省62个气象台站1961-2019年逐日气象资料,利用联合国粮农组织(FAO)推荐的方法计算大豆需水量,应用美国农业部土壤保持局推荐的方法计算有效降水,采用M-K检验、GIS反距离加权插值等方法分析黑龙江省大豆各生育阶段水分盈亏指数及干旱与洪涝演变特征。结果表明:黑龙江省大豆生长季内有效降水在开花以前主要呈增加趋势,开花及以后主要呈减少趋势;大豆需水量在第三真叶期以前主要呈增加趋势,第三真叶期及以后呈减少趋势,结荚-鼓粒期和鼓粒-成熟期减少趋势最为显著。大豆生长季内水分盈亏指数(Crop water surplus deficit index,CWSDI)中部偏东地区和最北部地区最高,东部高于西部;开花-结荚期和结荚-鼓粒期CWSDI最低,鼓粒-成熟期最高。洪涝多发于偏北部地区,东部多于西部,出苗-第三真叶期洪涝发生站次最多。干旱发生频次高于洪涝,西部或西南部干旱发生频率高于东部,中部和北部最低,干旱多发生于开花-鼓粒期。
基金supported by the Open Research Fund of Innovation and Open Laboratory of Eco-meteorology in Northeast China,China Meteorological Administration(stqx2019zd02)Heilongjiang Meteorological Science and Technology Research Project(HQGG202004)Heilongjiang Provincial Natural Science Foundation of China(LH2020C105)。
文摘The dry and windy climate and low ground cover in spring in the black soil region of Northeast China make the soil strongly affected by wind erosion,which seriously threatens the food security and ecological security of this region.In this paper,based on the daily observation data of 124 meteorological stations in study area from 1961 to 2020,seasonal and monthly wind erosion climate factor(C)in spring(March to May)were calculated by using the method proposed by the Food and Agriculture Organization of the United Nations(FAO),the wind erosion characterization in spring were systematically analyzed based on C by various statistical analysis methods.The results showed that in the past 60 years,spring wind erosion climate factor(CSp)and monthly C of the whole region and each province(region)all showed highly significant decreasing trend,but they began to show rebounded trend in the middle or late 2000s.CSp of the study area showed a significant upward trend since 2008 with an increase of 4.59(10a)^(-1).The main contributors to this upward trend are the changes of C in March and in April.For the four provinces(regions),CSp in Heilongjiang,Jilin,Liaoning and eastern Inner Mongolia all showed rebounded since 2008,2011,2008 and 2009,respectively.The rebounded trend of CSp in eastern Inner Mongolia was the most obvious with a tendency rate of 11.27(10a)^(-1),and its mutation occurred after 1984.The rebound trend of CSp in Heilongjiang Province takes the second place,with a trend rate of 4.72(10a)^(-1),but there’s no obvious time mutation characteristics.The spatial characteristics of CSpand monthly C are similar,showing decreasing characteristics centered on the typical black soil belt of Northeast China.Compared with 1961-1990,in the period from 1991 to 2020,the proportion of high value areas(CSp>35,monthly C>10)has decreased to varying degrees,while the proportion of low value areas(CSp≤10,monthly C≤4)has increased.The trends of seasonal and monthly C in 82.2%~87.7%of the stations show significant decreases at 95%confidence level.CSp is closely related to wind speed at 2m height,temperature difference,minimum temperature and precipitation in the same period,of which the correlation between CSp and wind speed is the strongest,indicating that the main control factor for CSp in the study area is wind speed,but the impact of the change of temperature and precipitation on CSp cannot be ignored.
