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新疆棉花膜下滴灌基于消退指数的土壤水分预报方法研究 被引量:3

Study on Soil Moisture Forecast Method Based on Exponential Depletion Relations for Cotton Drip Irrigation under Mulch in Xinjiang Autonomous Region
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摘要 根据北疆膜下滴灌棉花全生育期土壤水分观测数据,研究了不同深度的棉田土壤水分消退指数随作物生长时间的变化规律,探讨了棉花生育期土壤水分预报的经验递推方法,实验结果分析表明:棉花生育期消退指数在不同深度都呈现先增大后减小变化趋势,并且随其深度的增大而减小,其离散程度也随深度有所变化;利用消退指数法对40和60cm层土壤贮水量进行预报,预报误差最小为0.16%,预报所需资料少,结果可靠,精度较高,是一种适合新疆棉田土壤水分预报的实用方法。 According to the survey data of soil moisture of cotton drip irrigation under mulch during whole growth stages in the north of Xinjiang autonomous region, the change rules of soil moisture exponential depletion relations in different depths and different growth stage are analyzed and the empirical method for soil moisture forecast is discussed. The experimental results indicate that the soil moisture exponential depletion relations in different depth show the trend of increase at first and then decrease. Moreover, it decreases with the increase of depth, and the dispersion degree also changes with the depth. Using the exponential depletion relations method, the soil water storage at the layer of 40 and 60cm are forecasted, and the minimum forecast error is 0. 16%. The method does not need much data, and its result is reliable and precise. So it is a practical method for soil moisture forecast in cotton field of Xinjiang Autonomous Region.
出处 《节水灌溉》 北大核心 2008年第8期5-7,11,共4页 Water Saving Irrigation
基金 国家"十一五"科技支撑计划项目(2007BAC17B02) 新疆自治区"十一五"科技攻关重大项目(200731137-1)
关键词 膜下滴灌 棉花 消退指数 预报方法 drip irrigation under mulch cotton exponential depletion Relations forecast method
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  • 1朱志龙.土壤水分消退规律分析[J].水文,1994,13(4):36-39. 被引量:7
  • 2康绍忠 贺正中 等.陕西省作物需水量与分区灌溉模式[M].北京:水利电力出版社,1991..
  • 3郭群善,水利学报,1997年,增刊,40页
  • 4黄冠华,水利学报,1997年,增刊,195页
  • 5康绍忠,土壤-植物-大气连续体水分传输理论及应用,1994年,208页
  • 6韩承荣,中国水利百科全书,1991年,1470页
  • 7康绍忠.旱地土壤水分动态预报方法的初步研究[J].中国农业气象,1987,8(2):38-41.
  • 8Mahmood R, K G Hubbard. An analysis of simulated long-term soil moisture data for three land uses under contrasting hydroclimatic conditions in the northern great plains[J]. Hydrometeorology J, 2004, ( 5 ): 160-179.
  • 9Weimann A. Soil moisture estimation with ERS-1 SAR data in the East-German loess soil area[J]. Remote Sensing, 1998, 19(2):237-243.
  • 10黎庆淮.土壤学与农作学[M]水利电力出版社,1986.

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