基于DHSVM模型的作物渍害时空分布信息提取
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摘要
为了实时监测作物渍害时空分布,以湖北省监利县作为研究对象,采用分布式水文土壤植被模型-DHSVM(Distributed Hydrology Soil Vegetation Model)将监利县分成若干90 m×90 m的栅格单元,通过计算每个栅格单元的水平衡,达到模拟农田土壤水分状况的目的,结合作物轻、中、重度3种渍害的水分特征指标(地下水位埋深小于0.6 m,土壤表层相对体积含水率5 d的均值大于90%的持续期分别大于5、12、20 d)的方法,模拟监利县夏收作物不同渍害的时空分布。结果表明,模拟得到了2014年、2015年每年1—5月(夏收作物生长期间)监利县农田表层土壤水分和地下水位埋深的时空分布(时间分辨率为1 d,空间分辨率为90 m),首次实现了作物渍害的时空间分布信息提取;通过多次田间调查,证明此反演方法结果是准确的。
We calculated the spatio-spatial distribution of waterloggingin Jianli County of Hubei province using the DHSVM model(The Distributed Hydrology Soil Vegetation Model). The region in the county was divided into a number of grids, each being 90 m×90 m. The dynamic of soil moisture in each grid was simulated using a water balance model. We calculated the distribution of waterlogging in summer by classifying the waterlogging into three categories when the groundwater table was less than 0.6 m deep: when the duration of five-day average volumetric water higher than 90% lasted more than 5 days(light waterlogging), or lasted more than 12 days(moderate waterlogging), or lasted more than 20 days(severe waterlogging). We simulated the distribution of soil moisture and groundwater table in all grids from January to May in 2014 and 2015 during the growing season of summer crops using a temporal resolution of one day. These results enabled us to predict the spatio-temporal distribution of waterlogging in the region for the first time. This retrieval method was proven accurate after testing in several fields.
We calculated the spatio-spatial distribution of waterloggingin Jianli County of Hubei province using the DHSVM model(The Distributed Hydrology Soil Vegetation Model). The region in the county was divided into a number of grids, each being 90 m×90 m. The dynamic of soil moisture in each grid was simulated using a water balance model. We calculated the distribution of waterlogging in summer by classifying the waterlogging into three categories when the groundwater table was less than 0.6 m deep: when the duration of five-day average volumetric water higher than 90% lasted more than 5 days(light waterlogging), or lasted more than 12 days(moderate waterlogging), or lasted more than 20 days(severe waterlogging). We simulated the distribution of soil moisture and groundwater table in all grids from January to May in 2014 and 2015 during the growing season of summer crops using a temporal resolution of one day. These results enabled us to predict the spatio-temporal distribution of waterlogging in the region for the first time. This retrieval method was proven accurate after testing in several fields.
引文
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[6]AJAY S.Groundwater modeling for the assessment of water management alternatives[J].Journal of Hydrology,2013,481:220-229.
[7]吴洪颜,高苹,徐为根,等.江苏省冬小麦湿渍害的风险区划[J].生态学报,2012,32(6):1 871-1 879.
[8]盛绍学,石磊,张玉龙.江淮地区冬小麦渍害指标与风险评估模型研究[J].中国农学通报,2009,25(19):263-268.
[9]WIGMOSTA M S,VAIL L W,LETTENAMAIER D P.A distributed hydrological-vegetation model for complex terrain[J].Water Resource Research,1994,30(6):1 665-1 679.
[10]WIGMOSTA M S,NIJSSEN B,STORCK P,et al.The distributed hydrology soil vegetation model.[J].Hydrological Processes,2002,22(21):4 205-4 213.
[11]喻光明.江汉平原渍害田生态特征的研究[J].生态学报,1993,13(3):252-260.
[12]陈继元.渍害低产田判别标准的定量分析[J].农田水利与小水电,1989(4):13-15.
[13]闻瑞鑫,胡新民,凌炳锦,等.渍害对小麦的影响及受渍临界指标的探讨[J].中国农村水利水电,1997(4):9-11.
[14]曹宏鑫,杨太明,蒋跃林,等.花期渍害胁迫下冬油菜生长及产量模拟研究[J].中国农业科技导报,2015,17(1):137-145.
[15]杨威,朱建强,吴启侠.油菜受渍对产量的影响及排水指标研究[J].灌溉排水学报,2013,32(6):31-34.
[16]熊勤学,黄敬峰.利用NDVI指数时序特征监测秋收作物种植面积[J]农业工程学报,2009,25(1):144-148.
[17]熊勤学,胡佩敏.基于HJ卫星混合像元分解法的湖北省四湖地区夏收作物种植信息提取[J].长江流域资源与环境,2014,23(6):869-874.
[18]LAN C,THOMAS W.Giambelluca,et al.Use of the distributed hydrology soil vegetation model to study road effects on hydrological processes in PangKhum Experimental Watershed,northern Thailand[J].Forest Ecology and Management,2006,224(1):81-94.
[19]吴华山,陈效民,叶民标,等.太湖地区主要水稻土的饱和导水率及其影响因素研究[J].灌溉排水学报,2006,25(2):46-48.
[20]TESFA T K.Distributed Hydrological Modeling Using Soil Depth Estimated from Landscape Variable Derived with Enhanced Terrain Analysis[D].Logan:Utah State University,2010:83-84.
[21]熊勤学.基于土壤植被水文模型的县域夏收作物渍害风险评估[J].农业工程学报,2015,31(21):177-183.
[2]蔡述明,王学雷,黄进良,等.江汉平原四湖地区区域开发与农业持续发展[M].北京:科学出版社,1996:28-64.
[3]RHOADES,KANDIAH,MASHALI.The use of saline waters for crop production[M]//FAO Irrigation and Drainage Paper(FAO).Rome,Italy:FAO,1992:133.
[4]SINGH A.Estimating long-term regional groundwater recharge for the evaluation of potential solution alternatives to waterlogging and salinization[J].Journal of Hydrology.2011,406(3/4):245-255.
[5]CHOWDARY V M,CHANDRAN R V,NEETI N,et al.Assessment of surface and sub-surface waterlogged areas in irrigation command areas of Bihar state using remote sensing and GIS[J].Agricultural Water Management,2008,95(7):754-766.
[6]AJAY S.Groundwater modeling for the assessment of water management alternatives[J].Journal of Hydrology,2013,481:220-229.
[7]吴洪颜,高苹,徐为根,等.江苏省冬小麦湿渍害的风险区划[J].生态学报,2012,32(6):1 871-1 879.
[8]盛绍学,石磊,张玉龙.江淮地区冬小麦渍害指标与风险评估模型研究[J].中国农学通报,2009,25(19):263-268.
[9]WIGMOSTA M S,VAIL L W,LETTENAMAIER D P.A distributed hydrological-vegetation model for complex terrain[J].Water Resource Research,1994,30(6):1 665-1 679.
[10]WIGMOSTA M S,NIJSSEN B,STORCK P,et al.The distributed hydrology soil vegetation model.[J].Hydrological Processes,2002,22(21):4 205-4 213.
[11]喻光明.江汉平原渍害田生态特征的研究[J].生态学报,1993,13(3):252-260.
[12]陈继元.渍害低产田判别标准的定量分析[J].农田水利与小水电,1989(4):13-15.
[13]闻瑞鑫,胡新民,凌炳锦,等.渍害对小麦的影响及受渍临界指标的探讨[J].中国农村水利水电,1997(4):9-11.
[14]曹宏鑫,杨太明,蒋跃林,等.花期渍害胁迫下冬油菜生长及产量模拟研究[J].中国农业科技导报,2015,17(1):137-145.
[15]杨威,朱建强,吴启侠.油菜受渍对产量的影响及排水指标研究[J].灌溉排水学报,2013,32(6):31-34.
[16]熊勤学,黄敬峰.利用NDVI指数时序特征监测秋收作物种植面积[J]农业工程学报,2009,25(1):144-148.
[17]熊勤学,胡佩敏.基于HJ卫星混合像元分解法的湖北省四湖地区夏收作物种植信息提取[J].长江流域资源与环境,2014,23(6):869-874.
[18]LAN C,THOMAS W.Giambelluca,et al.Use of the distributed hydrology soil vegetation model to study road effects on hydrological processes in PangKhum Experimental Watershed,northern Thailand[J].Forest Ecology and Management,2006,224(1):81-94.
[19]吴华山,陈效民,叶民标,等.太湖地区主要水稻土的饱和导水率及其影响因素研究[J].灌溉排水学报,2006,25(2):46-48.
[20]TESFA T K.Distributed Hydrological Modeling Using Soil Depth Estimated from Landscape Variable Derived with Enhanced Terrain Analysis[D].Logan:Utah State University,2010:83-84.
[21]熊勤学.基于土壤植被水文模型的县域夏收作物渍害风险评估[J].农业工程学报,2015,31(21):177-183.