基于AgentLA模型的农田精准灌溉管理分区研究
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摘要
依据农田水资源利用与土地资源开发的耦合特性,开展农田精准灌溉管理分区研究,划定需灌溉管控的农田利用对象区。以三江平原典型流域挠力河流域为研究区,基于Landsat OLI影像、DEM数据和气象台站等多源数据为基本信息源,结合遥感和GIS技术定量探讨该流域农田水分盈亏状态,最后利用多智能体的空间优化配置模型(AgentLA)划定出农田灌溉区。结果表明:与常规的密度分割法相比,AgentLA模型不仅考虑了农田水分盈亏状态,也兼顾空间形态属性,使得所划定的灌溉区既覆盖了高水分亏缺状态农田,也具备较高的紧凑性,避免其空间格局过于凌乱和破碎。模型运行结果显示,在20%的农田灌溉目标面积下,挠力河流域内83.40%的中度、99.86%的重度、0.71%的正常和100%的严重缺水的农田需进行灌溉管控。研究结果为农田精准化灌溉管理提供思路借鉴,为相关学者研究提供基础。
Based on the coupling characteristics of farmland water utilization and land resource development,this study sought to define the precision irrigation management zones in farmland according agent-based model for optimal land allocation(AgentLA)in Naoli River Basin,and then determined the farmland utilization area with key irrigation control.All the above analysis used the Landsat Satellite images for OLI sensor,the DEM data and the long-term sequenced meteorological data as fundamental data resources.Remote sensing and GIS technology were used to study quantitatively the water profit and loss of farmland,and finally AgentLA model was utilized to delineate the key farmland irrigation area.The results showed that by comparing with the conventional density division method,AgentLA model not only considered the water profit and loss of farmland,but also took into account the spatial morphological properties,and the key irrigation zones defined by this mode covered the target area suffered high water deficit,had high compactness as well,meanwhile avoided the key irrigation area and its spatial pattern too messy and broken to carry out daily irrigation management.The model running results showed that when the irrigation area of the farmlands was 20%in Naoli River Basin,83.40% of farmlands with moderate water deficit,99.86% of farmlands with severe water deficit,0.71%of normal farmlands and all farmlands with serious water deficit needed to be controlled by irrigation in the future.This study results could be used as references and consultancies for precision irrigation management in the Naoli River Basin,and provide the basis for related scholars.
Based on the coupling characteristics of farmland water utilization and land resource development,this study sought to define the precision irrigation management zones in farmland according agent-based model for optimal land allocation(AgentLA)in Naoli River Basin,and then determined the farmland utilization area with key irrigation control.All the above analysis used the Landsat Satellite images for OLI sensor,the DEM data and the long-term sequenced meteorological data as fundamental data resources.Remote sensing and GIS technology were used to study quantitatively the water profit and loss of farmland,and finally AgentLA model was utilized to delineate the key farmland irrigation area.The results showed that by comparing with the conventional density division method,AgentLA model not only considered the water profit and loss of farmland,but also took into account the spatial morphological properties,and the key irrigation zones defined by this mode covered the target area suffered high water deficit,had high compactness as well,meanwhile avoided the key irrigation area and its spatial pattern too messy and broken to carry out daily irrigation management.The model running results showed that when the irrigation area of the farmlands was 20%in Naoli River Basin,83.40% of farmlands with moderate water deficit,99.86% of farmlands with severe water deficit,0.71%of normal farmlands and all farmlands with serious water deficit needed to be controlled by irrigation in the future.This study results could be used as references and consultancies for precision irrigation management in the Naoli River Basin,and provide the basis for related scholars.
引文
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[19]郭燕,田延峰,吴宏海,等.基于多源数据和模糊K-均值方法的农田土壤管理分区研究[J].土壤学报,2013,50(3):441-447.
[20]周浩,雷国平,张博,等.1990-2013年挠力河流域耕地变化下水土资源平衡效应分析[J],农业工程学报,2015,31(1):272-280.
[21]Chen Y M,Li X,Liu X P,et al.An agent-based model for optimal land allocation(AgentLA)with a contiguity constraint[J].International Journal of Geographical Information Science,2010,24(8):1269-1288.
[22]陈逸敏,黎夏,刘小平,等.基于耦合地理模拟优化系统GeoSOS的农田保护区预警[J].地理学报,2010,65(9):1137-1145.
[23]王韶华,刘文朝,刘群昌.三江平原农业需水量及适宜水稻种植面积的研究[J].农业工程学报,2004,20(4):50-53.
[24]傅抱璞.论陆面蒸发的计算[J].大气科学,1981,5(1):23-31.
[25]张瑞钢,莫兴国,林忠辉.滹沱河上游山区近50年蒸散变化及主要影响因子分析[J].地理科学,2012,32(5):628-634.
[26]张士锋,王翠翠,孟秀敬,等.永定河北京段蒸散发研究[J].地理科学进展,2013,32(4):580-586.
[2]严登华,翁白莎,王浩.区域干旱形成机制与风险应对[M].北京:科学出版社,2014.
[3]胡实,莫兴国,林忠辉.未来气候情景下我国北方地区干旱时空变化趋势[J].干旱区地理,2015,38(2):239-248.
[4]胡琦,潘学标,张丹,等.东北地区不同时间尺度下气温和无霜期的变化特征[J].中国农业气象,2015,36(1):1-8.
[5]刘彦随,甘红,张富刚.中国东北地区农业水土资源匹配格局[J].地理学报,2006,61(8):847-854.
[6]杨艳昭,张伟科,封志明,等.土地利用变化的水土资源平衡效应研究:以西辽河流域为例[J].自然资源学报,2013,28(3):437-449.
[7]高继卿,杨晓光,董朝阳,等.气候变化背景下中国北方干湿区降水资源变化特征分析[J].农业工程学报,2015,31(12):99-110.
[8]张耀存,张录军.东北气候和生态过渡区近50年来降水和温度概率分布特征变化[J].地理科学,2005,25(5):51-56.
[9]卢洪健,莫兴国,孟德娟,等.气候变化背景下东北地区气息干旱的时空演变特征[J].地理科学,2015,35(8):1051-1059.
[10]吴海燕,孙甜田,范作伟,等.东北地区主要粮食作物对气候变化的响应及其产量效应[J].农业资源与环境学报,2014,31(4):299-307.
[11]云雅如,方修琦,王媛,等.黑龙江省过去20年粮食作物种植格局变化及其气候背景[J].自然资源学报,2005,20(5):697-705.
[12]刘正茂.近50年来挠力河流域径流演变及驱动机制研究[D].长春:东北师范大学,2012.
[13]刘贵花.三江平原挠力河流域水文要素变化特征及其影响研究[D].长春:中国科学院东北地理与农业生态研究所,2013.
[14]宋晓林.1950s挠力河流域径流特征变化及其影响因素[D].长春:中国科学院东北地理与农业生态研究所,2012.
[15]聂娟,孙瑞志,曹振丽,等.精准农业信息物理融合系统的事件模型研究[J].农业机械学报,2015,46(1):285-291.
[16]刘焱选,白慧东,蒋桂英.中国精准农业的研究现状和发展方向[J].中国农学通报,2007,23(7):577-582.
[17]程涛,崔英,鱼京善,等.全国水资源分区社会经济及用水量数据汇总系统设计与实践[J].北京师范大学学报(自然科学版),2014,50(5):515-522.
[18]陈彦,吕新.基于模糊C-均值聚类法的绿洲农田精确管理分区研究[J].生态学报,2008,8(7):3067-3074.
[19]郭燕,田延峰,吴宏海,等.基于多源数据和模糊K-均值方法的农田土壤管理分区研究[J].土壤学报,2013,50(3):441-447.
[20]周浩,雷国平,张博,等.1990-2013年挠力河流域耕地变化下水土资源平衡效应分析[J],农业工程学报,2015,31(1):272-280.
[21]Chen Y M,Li X,Liu X P,et al.An agent-based model for optimal land allocation(AgentLA)with a contiguity constraint[J].International Journal of Geographical Information Science,2010,24(8):1269-1288.
[22]陈逸敏,黎夏,刘小平,等.基于耦合地理模拟优化系统GeoSOS的农田保护区预警[J].地理学报,2010,65(9):1137-1145.
[23]王韶华,刘文朝,刘群昌.三江平原农业需水量及适宜水稻种植面积的研究[J].农业工程学报,2004,20(4):50-53.
[24]傅抱璞.论陆面蒸发的计算[J].大气科学,1981,5(1):23-31.
[25]张瑞钢,莫兴国,林忠辉.滹沱河上游山区近50年蒸散变化及主要影响因子分析[J].地理科学,2012,32(5):628-634.
[26]张士锋,王翠翠,孟秀敬,等.永定河北京段蒸散发研究[J].地理科学进展,2013,32(4):580-586.