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• 方法与技术 • 上一篇    

玉米根分布模拟方法比较

蔡福1,明惠青2,祝新宇3,米娜1,赵先丽1,谢艳兵1,张玉书1**   

  1. (1中国气象局沈阳大气环境研究所,沈阳 110166;2辽宁省气象服务中心,沈阳 110166; 3辽宁省防雷技术服务中心, 沈阳 110166)
  • 出版日期:2015-02-07 发布日期:2015-02-07

Comparison on simulation methods of maize root distribution.

CAI Fu1, MING Hui-qing2, ZHU Xin-yu3, MI Na1, ZHAO Xian-li1, XIE Yan-bing1, ZHANG Yu-shu1**   

  1. (1Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China; 2Liaoning Province Meteorological Service Center, Shenyang 110166, China; 3Liaoning Province Lightning Protection Technology Service Center, Shenyang 110166, China)
  • Online:2015-02-07 Published:2015-02-07

摘要:

根分布是陆面过程模型中模拟根系吸水过程的重要参数,对其准确表达将可改善水热通量的模拟。利用已有研究中玉米不同发育期根生物量实测资料,对常用于现有主流陆面过程模型中分别由Schenk、Zeng和Jackson建立的3种根分布参数化方案(被定义为M1、M2、M3)的模拟精度进行比较。结果表明:M2和M3模拟精度基本一致,仅在玉米吐丝期以后模拟精度较高,而M1能够对玉米不同发育期根分布进行较高精度的模拟,是3方案中的最优方案;通过对M1方案中玉米不同发育期d50和d95 (累积根比例分别为50%和95%的土层深度)2个参数拟合值分析发现,d95值随玉米生育进程逐渐增大,变异性在拔节和成熟期最大,在吐丝期最小;d50值在大喇叭口期以前随生育进程增大,在吐丝期以后趋于稳定;d50d95值在大喇叭口期以前与现有模型设定值差异最大,可引起陆面过程模拟的误差。
 

关键词: 微生物生物量碳, 微生物生物量氮, 氮沉降, 天然常绿阔叶林

Abstract: A satisfactory parameterization of root distribution, a key parameter for simulating root water uptake process, is important in improving simulation performance of land surface process models (LSMs) for simulating water and heat flux exchanges. Using observation data of maize root biomass in different growing periods in previous studies,
simulation performances  of three root distribution parameterization methods which established by Schenk, Zeng and Jackson and applied to the mainstream LSMs (defined as M1, M2 and M3, respectively)  were compared. The results showed that M1 could reproduce accurately root distribution profiles in every growing period while M2 and M3 had similar performances, with relatively high simulation precision only after corn tasseling stage. By analyzing the dynamic pattern of the simulated two parameters
(d50 and d95, the depths in which 50% and 95% of all roots were located) in different growing periods, we found that d95 increased with maize growth and its variability was the biggest at jointing and maturity and the smallest at tasseling stage. But, d50 only increased with maize growth before flare opening stage and was almost invariable after tasseling stage. With further investigating, a biggest gap for d50 and d95 could be found between the observed value and the set value in LSMs before flare opening stage, which is one of the important reasons for errormaking in land surface process simulating.

Key words: natural evergreen broad-leaved forest, microbial biomass nitrogen, nitrogen deposition, microbial biomass carbon