The spatial and temporal distribution characteristics of effective rainfall(Pe),rice water re-quirement(ETc),and the coupling degree(λ)of ETcand Peduring early and late rice growth period were analyzed by Penman-Monteith method,Mann-Kendall trend test,climate tendency rate and Arc-GIS spatial interpolation analysis based on the daily meteorological data of 15 meteorological stations in Jiangxi Province from 1958 to 2017.The results showed that the average Pewas 186.69 and 119.26 mm for early and late rice,respectively,and the Pein early and late rice growth period increased at an aver-age rate of 1.00 and 1.31 mm/10a,respectively.The Pein northern Jiangxi and its upward trend rate were greater than those in southern Jiangxi.The average ETcin early and late rice growth period was 335.77 and 381.20 mm,respectively.The maximum ETcin early rice and late rice both appeared in the area near Ganzhou and Ji'an station,the minimum ETcin both appeared in the vicinity of Lushan and Xi-ushui station.The ETcin early and late rice growth period presented a climate tendency rate of-3.09 and-7.95 mm/10a,respectively.The inter-annual average coupling degree of ETcand Pein early and late rice growth period was 0.57 and 0.33,respectively,the coupling degree of ETcand Pein early and late rice growth period showed an insignificant increase at a rate of 0.01/10a.The maximum coupling de-gree of ETcand Pein early and late rice growth period both appeared in Lushan Station,while the smaller coupling degree appeared in Ganzhou,Ji'an,Nanchang and Boyang Station.On the whole,the coupling degree of ETcand Peand its climate tendency rate in northern Jiangxi was greater than that in southern Jiangxi,but the water shortage of rice in southern Jiangxi was more severe than that in northern Jiangxi.Hence,special attention should be paid to water shortage of late rice in southern Jiangxi,in the mean-time,further efforts on water resources planning and irrigation schemes are required.
effective rainfallwater requirementcoupling degreespatial and temporal distributionriceJiangxi Province
国家科技期刊平台
NSTL
万方数据
