论文

基于过程模型的河北平原冬小麦产量和蒸散量模拟

展开
  • 中国科学院地理科学与资源研究所,,北京100101
莫兴国(1966-),博士,研究员。主要从事生态系统水热交换与物质生产模型研究,发表论文30余 篇。E-mail:moxg@igsnrr.ac.cn

收稿日期: 2004-02-18

  修回日期: 2004-07-29

  网络出版日期: 2004-10-15

基金资助

973项目(2002CB412503);国家自然科学基金项目(902110077)资助

Simulation of winter wheat yield and evapotranspiration with process-based model and remote sensing data in the Hebei Plain

Expand
  • Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Received date: 2004-02-18

  Revised date: 2004-07-29

  Online published: 2004-10-15

摘要

本文结合作物参数的遥感信息反演和气象要素的空间尺度扩展方法 ,建立以GIS背景数据库为支撑的冬小麦生长模型 ,研究河北平原农田生态系统生物量和蒸散量的区域分布特征。结果显示 ,河北平原 1990年高产区主要集中在保定中南部、石家庄中部、邢台中部和邯郸东部的南北条带上 ,单产在 6 0 0 0~ 84 0 0kghm- 2 之间 ,廊坊东部、沧州大部分、衡水中部、邢台东部和西部太行山区等是低产区 ,单产低于 30 0 0kghm- 2 。总体而言 ,该地区实际产量与光温生产潜力对比仍有较大差距。在冬小麦生长期 ,蒸散量主要在 30 0~ 5 0 0mm之间 ,水分利用效率低于2 0kghm- 2 mm- 1,其中小于 8kghm- 2 mm- 1的概率分布占 4 2 %左右。农业水资源不足 ,水分利用效率低 ,是该地区冬小麦生产面临的严重问题。

本文引用格式

莫兴国, 林忠辉, 李宏轩, 项月琴 . 基于过程模型的河北平原冬小麦产量和蒸散量模拟[J]. 地理研究, 2004 , 23(5) : 623 -631 . DOI: 10.11821/yj2004050006

Abstract

With the support of GIS information, a process-based crop growth model is designed to estimate the spatial pattern of dry matter accumulation, seed yield and evapotranspiration of winter wheat in the Hebei Plain, from October, 1989 to June, 1990. The crop leaf area index in the model is retrieved from NOAA-AVHRR monthly maximum composite NDVI and the daily meteorological variables are scaled up with gradient inverse distance square method. The simulated domain ranges from 113°E to 118°E and 36°N to 41°N with an area of about 60,000 km 2. The grid resolution is 1 km 2 and time step is daily in this paper. The model was tested with field sampled dry matter data of five varieties and the district statistical economic yields. The absolute bias between the simulated and the statistical yields is about 12% in the domain. The simulated results show that the high yields are located in Baoding, Shijiazhuang, the central part of Xingtai and the eastern part of Handan districts from North to South with values of 6000 to 8400 kg hm -2. The low yields are shown at the eastern part of Langfang, Cangzhou, Hengshui and the eastern part of Xingtai with values lower than 3000 kg hm -2. Compared with the simulated potential yield, it is found that the differences between actual yields and potential yields are significant in this region, of which 72% shows a yield gap as large as 5000 kg hm -2. The simulated amounts of evapotranspiration over the growing season are from 310 to 500 mm, and the water use efficiency (WUE) in the irrigated fields is about 10 to 17 kg ha -2 mm -1. Low WUE area (<8 kg hm -2mm -1) occupies 42% of the whole area. The spatial pattern of WUE is similar to that of yield. As suggestion, some water conservancy techniques should be taken to increase the water use efficiency in this area, such as stalk cover, new irrigation projects,etc.

参考文献


[1]  徐勇.农业生产力模型研究进展述评.地理研究,1999,18(增刊):157~163.
[2]  林忠辉,莫兴国,项月琴.作物生长模型研究综述。作物学报,2003,29:750~758.
[3]  Patel N K,Singh T P,Sahml B.Spectral response of rice crop and its relation to yield and yield attributes.Int.J.Re2mote Sens.,1985,6:657~664.
[4]  Bouman B A M.Linking physical remote sensing models wit h crop growt h simulation models,applied for sugar beet.Int.J.Remote Sensing,1992,13(14):2565~2581.
[5]  Rudorff B F T,Batista G T.Yield estimation of sugarcane based on agrometeorological spectral models.Remote Sens.Environ.,1990,33:183~192.
[6]  Rasmussen M S.Operational yield forecast using AV HRR NDV I data:reduction of environmental and inter2annual vari2ability.Int.J.Remote Sens.,1997,18(5):1059~1077.
[7]  Tennakoon S B,Murty V A.An estimation of cropped area and grain yield of rice using remote sensing data.Interna2tional J.Remote Sens.,1992,13(3):427~439.
[8]  Barnett T L,Thompson D R.The use of large2area spectral data in wheat yield estimation.Remote Sens.Environ,1982,12:509~518.
[9]  江晓波,李爱农,周万村.3S一体化技术支持下的西南地区冬小麦估产.地理研究,2002,21(5):585~592.
[10]  王乃斌,周迎春,林耀明,邓坤枚.大面积小麦遥感估产模型的构建与调试方法的研究.环境遥感,1993,8(4):250~259.
[11]  朱晓红,谢昆青,徐希孺,承继成.冬小麦产量构成分析与遥感估产.环境遥感,1989,6(2):116~127.
[12]  吴炳方.全国农情监测与估产的运行化遥感方法.地理学报,2000,55(9):25~35.
[13]  Chipanshi A C,Ripley E A,Lawford R G.Large2scale simulation of wheat yields in a semi2arid environment using acrop2growth model.Agric.Systems,1999,59:57~66.
[14]  Landau S,Mitchell R A C,Barnett V,et al.Testing winter wheat simulation models’predictions against observed U Kgrain yields.Agric.Forest Meteor.,1998,89:85~99.
[15]  Hanson J W,Jones J W.Scaling2up crop models for climate variabilit y application.Agric.Systems,2000,65:43~72.
[16]  Thornley J H M.Mat hematical Models in Plant Physiology.London:Academic Press,1976.
[17]  H.范柯伦,J.沃尔夫主编.农业生产模型.北京:中国农业科技出版社,1990.22.
[18]  Amt hor J S.Respiration and Crop Productivity.Springer2Verlag,1989.205.
[19]  莫兴国,林忠辉,刘苏峡.基于Penman2Monteit h公式的双源模型的改进.水利学报,2000,(5):6~11.
[20]  Shuttlewort h J,Wallace J S.Evaporation from sparse crops:an energy combination t heory.Quarterly Journal Royal Me2teorology Society,1985,111:839~855.
[21]  Sellers P J,Mintz Y,Sud Y C,et al.A simple biosphere model(SiB)for use wit hin general circulation models.Journalof At mospheric Science,1986,43:305~331.
[22]  Sellers P J,Los S O,Tucker C J,et al.A revised land surface parameterization(SiB2)for at mospheric GCMs.Part II:The generation of global fields of terrestrial biophysical parameters from satellite data.Journal of Climate,1996,9:706~737.
[23]  Nalder I A,Wein R W.Spatial interpolation of climatic normals:test of a new met hod in t he Canadian boreal forest.A2griculture Forest Meteorology,1998,92:211~225.
[24]  侯光良,李继由,张谊光.中国农业气候资源.北京:中国人民大学出版社,1993.239.
[25]  王素艳,霍治国,李世奎,等.中国北方冬小麦的水分亏缺与气候生产潜力———近40年来的动态变化研究.自然灾害学报,2003,12(1):121~130.
[26]  张喜英,裴冬,胡春胜.太行山山前平原冬小麦和夏玉米灌溉指标研究.农业工程学报,2002,18(6):36~41.

文章导航

/