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Zonal Pattern Research on Rice Controlled Irrigation Based on ArcGIS and Geostatistics

机译:基于ArcGIS和地统计学的水稻控制灌溉区带模式研究。

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The zonal digitization of observation data of station is very important for optimization,collocation and high efficient utilization of agricultural resources in irrigation zonal research.This paper using 51(1952-2002) years of mean growing period precipitation,≥10℃ s cumulative temperature,frostless season and quantity of percolation,2004-2005 growing period water demand and irrigation ration of controlled irrigation rice,at the same time taking physiognomy into consideration as data sources,we combined the methods of factorial analysis and spatial interpolation to regionalize controlled irrigation variables in Heilongjiang Province,based on ordinary Kriging method realize discrete datum to consecutive expression.Using factorial to analyze multiple index,the result is that physiognomy and irrigation ration are primary factors,≥10℃ s cumulative temperature,frostless season are secondary factor,growing period precipitation is the third factor,and afterward the growing period water demand and quantity of percolation.We build controlled irrigation rice zonal by ArcGIS to superimpose zonal of each primary factor under this sequence.This zonal can reflect the variety of study area rice controlled irrigation present state and development level,and it has important meaning to precision irrigation system simulating,engineering programming,developing stratagem and decision management.
机译:站区观测数据的分区数字化对于灌溉分区研究中农业资源的优化,配置和高效利用具有重要意义。本文采用51(1952-2002)年平均成长期降水,≥10℃的累积温度, 2004-2005年无霜季节和渗流量,生育期需水量和控制灌溉水稻的灌溉日粮,同时以地貌学为数据源,结合因子分析和空间插值的方法,对控制灌溉变量进行了区域划分。黑龙江省,基于普通克里格法,实现了离散数据的连续表达。利用阶乘分析多元指标,得出地貌和灌水量为主要因素,累积温度≥10℃,无霜季节为次要因素,生育期降水是第三个因素,其后是生长期的需水量我们通过ArcGIS建立控灌水稻分区,按此顺序叠加各主要因子分区。该分区可以反映研究区水稻控灌现状和发展水平的变化,对精确灌溉具有重要意义。系统仿真,工程编程,开发策略和决策管理。

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