The author considered the influences of several weather factors, such as air temperature, sunlight, saturation deficiency, wind speed and so on to forecasting the water requirement of well irrigation rice based on Art...The author considered the influences of several weather factors, such as air temperature, sunlight, saturation deficiency, wind speed and so on to forecasting the water requirement of well irrigation rice based on Artificial Neutron Network. Through dealing with the time series of water requirement and its influence factors, the author applied the multi-dimension data correlation analysis to ensure the net structure. Thus, the ANN model to forecast the water requirement of well irrigation rice has been built. By means of the ANN model, uncertainty relation between water requirement and many influence factors among the interior and exterior can be discovered. The results of ANN model is good, and can provide some references for establishing the water saving irrigation system.展开更多
The paper builds up the forecasting model of air temperature according to the data (1994～1998) of Fu Jin area.At the same time,the writer inquires into the relation of water requirement of well irrigation rice (ET) a...The paper builds up the forecasting model of air temperature according to the data (1994～1998) of Fu Jin area.At the same time,the writer inquires into the relation of water requirement of well irrigation rice (ET) and average air temperature (T).Furthermore,the rice irrigation water requirement (ET) of Fu Jin area has been forecast in 1999.Thus,we can apply the model in irrigation management.展开更多
[目的]分析陕西省不同粮烟种植模式下的作物需水量及水分亏缺指数,筛选出高水分利用、免/低灌溉需水的粮烟种植模式。[方法]基于联合国粮食和农业组织(Food and Agriculture Organization of the United Nations,FAO)推荐的作物系数法,...[目的]分析陕西省不同粮烟种植模式下的作物需水量及水分亏缺指数,筛选出高水分利用、免/低灌溉需水的粮烟种植模式。[方法]基于联合国粮食和农业组织(Food and Agriculture Organization of the United Nations,FAO)推荐的作物系数法,并运用水分亏缺指数模型(Crop water deficit index,CWDI),结合2014—2023年的气象、土壤数据和区域作物种植生育资料,分析陕北、关中和陕南地区烤烟、夏播大豆、甘薯和夏玉米单作及与烤烟间套作的作物系数、需水特性、水分亏缺及空间分布规律。[结果]生长初期作物系数(K_(cini))表现为陕南>关中>陕北,生长中期作物系数(K_(cmid))和生长末期作物系数(K_(cend))则相反。烤烟需水量最高,夏玉米最低;烤烟单作较烤烟间套作夏播大豆、夏玉米需水量增加,陕北分别增加10.63%、23.85%,关中分别增加9.38%、22.18%,陕南分别增加9.24%、19.85%。间套作模式可降低夏玉米和夏播大豆的水分亏缺(陕北夏玉米CWDI降低9.89%),但增加甘薯的亏缺(陕北甘薯CWDI增加4.28%)。[结论]陕西省粮烟复合种植制度的优化能够改善降水利用效率,减少农业灌溉用水。陕南适宜烟—薯间套作,陕北和关中地区均建议优先采用烤烟与夏玉米间套作,其次为烤烟与夏播大豆间套作。烤烟与夏玉米间套作较烤烟单作可减少约20%需水量,减少灌溉需求,有效缓解区域水资源短缺,为农业节水和气候变化背景下的可持续种植提供科学依据。展开更多
水稻需水量研究面临多方面挑战,包括海量数据处理、时空尺度变化的复杂性,这使得采用单一方法难以捕捉其关键特征。因此,为解决单一方法难以捕捉水稻需水量变化的关键特征的困难,该研究提出了一种时域和频域相结合的需水量关键影响因素...水稻需水量研究面临多方面挑战,包括海量数据处理、时空尺度变化的复杂性,这使得采用单一方法难以捕捉其关键特征。因此,为解决单一方法难以捕捉水稻需水量变化的关键特征的困难,该研究提出了一种时域和频域相结合的需水量关键影响因素识别方法。利用Penman-Monteith公式,基于7个气象指数、4个环流指数,研究了高邮灌区1980—2021年水稻生育期内作物需水量(crop water requirement,ET_(c))和灌溉需水量(irrigation water requirement,IR)特征,并从时频域角度,综合Pearson相关性、小波、投影长度和M-K检验等分析方法,结合能量分区,提出了水稻需水量关键影响因素的分析方法,识别水稻需水量关键影响因素及变化趋势。结果表明:1)ET_(c)和IR多年均值分别为532.88、285.04 mm/a;年际距平显示,ET_(c)和IR在2000年由偏少向偏多转变;月度变化显示,每年8月需水量最高,10月最低;2)ET_(c)和IR存在2个主能量区(Ⅰ、Ⅱ区),Ⅰ区相对Ⅱ区,时间尺度更大、周期更长;ET_(c)在Ⅰ、Ⅱ区分别受到相对湿度、日照时长主导,其中相对湿度领先ET_(c)约1/2周期,日照时长与ET_(c)无相位差;IR在Ⅰ、Ⅱ区均受降水量主导,二者相位差均为1/2周期;3)从能量分区及相关性的分析结果来看,ET_(c)的关键影响因素是日照时长和相对湿度,分别呈显著负相关和正相关;IR的关键影响因素是降水量,两者呈显著负相关。总体来看,ET_(c)和IR与关键影响因素呈现了一种“主震有序、余震不断”的特点;4)ET_(c)和IR呈现缓慢震荡上升趋势,在2005年后更为明显。研究提出的需水量关键影响因素识别方法,可为高邮灌区水稻及其他区域作物合理灌溉制度的制定提供参考。展开更多
文摘The author considered the influences of several weather factors, such as air temperature, sunlight, saturation deficiency, wind speed and so on to forecasting the water requirement of well irrigation rice based on Artificial Neutron Network. Through dealing with the time series of water requirement and its influence factors, the author applied the multi-dimension data correlation analysis to ensure the net structure. Thus, the ANN model to forecast the water requirement of well irrigation rice has been built. By means of the ANN model, uncertainty relation between water requirement and many influence factors among the interior and exterior can be discovered. The results of ANN model is good, and can provide some references for establishing the water saving irrigation system.
基金Funditem:China Postdoctoral Science Fund(2 0 0 0 ).The Youth Fund of Sichuan U niversity.(43 2 0 2 8)
文摘The paper builds up the forecasting model of air temperature according to the data (1994～1998) of Fu Jin area.At the same time,the writer inquires into the relation of water requirement of well irrigation rice (ET) and average air temperature (T).Furthermore,the rice irrigation water requirement (ET) of Fu Jin area has been forecast in 1999.Thus,we can apply the model in irrigation management.
文摘[目的]分析陕西省不同粮烟种植模式下的作物需水量及水分亏缺指数,筛选出高水分利用、免/低灌溉需水的粮烟种植模式。[方法]基于联合国粮食和农业组织(Food and Agriculture Organization of the United Nations,FAO)推荐的作物系数法,并运用水分亏缺指数模型(Crop water deficit index,CWDI),结合2014—2023年的气象、土壤数据和区域作物种植生育资料,分析陕北、关中和陕南地区烤烟、夏播大豆、甘薯和夏玉米单作及与烤烟间套作的作物系数、需水特性、水分亏缺及空间分布规律。[结果]生长初期作物系数(K_(cini))表现为陕南>关中>陕北,生长中期作物系数(K_(cmid))和生长末期作物系数(K_(cend))则相反。烤烟需水量最高,夏玉米最低;烤烟单作较烤烟间套作夏播大豆、夏玉米需水量增加,陕北分别增加10.63%、23.85%,关中分别增加9.38%、22.18%,陕南分别增加9.24%、19.85%。间套作模式可降低夏玉米和夏播大豆的水分亏缺(陕北夏玉米CWDI降低9.89%),但增加甘薯的亏缺(陕北甘薯CWDI增加4.28%)。[结论]陕西省粮烟复合种植制度的优化能够改善降水利用效率,减少农业灌溉用水。陕南适宜烟—薯间套作,陕北和关中地区均建议优先采用烤烟与夏玉米间套作,其次为烤烟与夏播大豆间套作。烤烟与夏玉米间套作较烤烟单作可减少约20%需水量,减少灌溉需求,有效缓解区域水资源短缺,为农业节水和气候变化背景下的可持续种植提供科学依据。
文摘水稻需水量研究面临多方面挑战,包括海量数据处理、时空尺度变化的复杂性,这使得采用单一方法难以捕捉其关键特征。因此,为解决单一方法难以捕捉水稻需水量变化的关键特征的困难,该研究提出了一种时域和频域相结合的需水量关键影响因素识别方法。利用Penman-Monteith公式,基于7个气象指数、4个环流指数,研究了高邮灌区1980—2021年水稻生育期内作物需水量(crop water requirement,ET_(c))和灌溉需水量(irrigation water requirement,IR)特征,并从时频域角度,综合Pearson相关性、小波、投影长度和M-K检验等分析方法,结合能量分区,提出了水稻需水量关键影响因素的分析方法,识别水稻需水量关键影响因素及变化趋势。结果表明:1)ET_(c)和IR多年均值分别为532.88、285.04 mm/a;年际距平显示,ET_(c)和IR在2000年由偏少向偏多转变;月度变化显示,每年8月需水量最高,10月最低;2)ET_(c)和IR存在2个主能量区(Ⅰ、Ⅱ区),Ⅰ区相对Ⅱ区,时间尺度更大、周期更长;ET_(c)在Ⅰ、Ⅱ区分别受到相对湿度、日照时长主导,其中相对湿度领先ET_(c)约1/2周期,日照时长与ET_(c)无相位差;IR在Ⅰ、Ⅱ区均受降水量主导,二者相位差均为1/2周期;3)从能量分区及相关性的分析结果来看,ET_(c)的关键影响因素是日照时长和相对湿度,分别呈显著负相关和正相关;IR的关键影响因素是降水量,两者呈显著负相关。总体来看,ET_(c)和IR与关键影响因素呈现了一种“主震有序、余震不断”的特点;4)ET_(c)和IR呈现缓慢震荡上升趋势,在2005年后更为明显。研究提出的需水量关键影响因素识别方法,可为高邮灌区水稻及其他区域作物合理灌溉制度的制定提供参考。
