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遥感同化WOFOST模型动态监测水稻重金属污染胁迫
  • ISSN号:1672-2043
  • 期刊名称:《农业环境科学学报》
  • 时间:0
  • 分类:X87[环境科学与工程—环境工程] X503.231[环境科学与工程—环境工程]
  • 作者机构:[1]中国地质大学(北京)信息工程学院, [2]中国地质大学(北京)能源学院
  • 相关基金:国家自然科学基金项目(41371407)
中文摘要:

为研究土壤重金属污染对作物生长尤其是根系生长的影响,探讨了利用遥感与作物生长模型同化方法获取水稻根重WRT(Weight of Root)的变化,进而动态监测水稻重金属污染胁迫的可行性。以吉林省长春市两块不同污染水平的水稻种植区为研究对象,以叶面积指数LAI(Leaf Area Index)为结合点,使用灰色关联度分析选择与根重关联度最高的作物参数CVR(干物质转化为根重的效率,Efficiency of Conversion into Roots),通过粒子群优化算法PSO(Particle Swarm Optimization)优化CVR,实现作物生长模型WOFOST(World Food Studies)与CCD遥感数据的同化,并用同化后的WOFOST模型模拟WRT进行水稻重金属污染胁迫状况分析,最后对研究区水稻重金属污染胁迫进行了分级评价。结果表明,整个生长期污染严重区域水稻根重比污染较轻区的水稻根重低,二者比值范围为0.894~0.972,均值为0.922,在水稻分蘖期比值最低达到0.894。可见根重的变化是监测水稻重金属污染胁迫的有效指标,该方法能够在水稻生长的早期(分蘖期)就监测到重金属污染胁迫。

英文摘要:

Heavy metal contamination of soil would affect crop growth via influencing eco-physiological parameters of crops such as chloro-phyll, LAI(Leaf Area Index)and cell structure, especially the roots. This study explored the feasibility of monitoring heavy metal stresses in rice by using WRT(Weight of Root)changes obtained from remote sensing data and crop growth model. Usually it is difficult to get rice WRT directly through remote sensing method. However the WRT can be well simulated by assimilating remote sensing data into the WOFOST(World Food Studies)model. The LAI is one of output parameters of the WOFOST model and it can be used as a connection between the WOFOST model and remote sensing data. The assimilation process was conducted through the LAI by PSO(Particle Swarm Op-timization). In this research, two cultivation areas in Changchun, Jilin Province were selected as the experimental sites(A and B)with dif-ferent heavy metal stress levels. Grey correlation analysis was performed to select the crop parameter that is sensitive to the WRT. The re-sults showed that CVR(Efficiency of dry matter conversion to root weight)is highly correlated with the WRT with the correlation coefficient (RWRT)of 0.801 6. Hence the CVR was chosen as the parameter to be optimized in the WOFSOT model. The CVR values of the site A and B were 0.527 and 0.806 respectively. The WRT ratio of the site A to site B ranged from 0.894 to 0.972 during the whole rice growth period with an average of 0.922. The lowest WRT ratio of 0.894 occurred at the tillering stage, whereas the significant effect of heavy metal stress on LAI started at the jointing-booting stage. The experimental results showed that the heavy metal stress can be detected by the WRT at the early growth stage compared with the LAI. In conclusion, assimilating remote sensing data into the WOFOST model can directly get the root growth information, which is impossible to obtain directly from remote sensing technique only. Additionally, assimilating remote sensing data into the WOFO

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期刊信息
  • 《农业环境科学学报》
  • 北大核心期刊(2011版)
  • 主管单位:中华人民共和国农业部
  • 主办单位:农业部环境保护科研监测所 中国农业生态环境保护协会
  • 主编:李文华
  • 地址:天津市南开区复康路31号
  • 邮编:300191
  • 邮箱:caep@vip.163.com
  • 电话:022-23674336 23006209
  • 国际标准刊号:ISSN:1672-2043
  • 国内统一刊号:ISSN:12-1347/S
  • 邮发代号:6-64
  • 获奖情况:
  • 全国中文核心期刊,列于被引频比最高的中国科技期刊500名之内
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),英国农业与生物科学研究中心文摘,美国剑桥科学文摘,中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:34877