首页关于本刊影响因子及获奖投稿须知订阅及广告专辑与专题学术会议绿色发表通道优秀论文 
刘垚,包云轩,陆明红,刘万才.基于WRF-Flexpart的一次褐飞虱回迁过程模拟研究.生态学报,2017,37(13):4466~4475 本文二维码信息
二维码(扫一下试试看!)
基于WRF-Flexpart的一次褐飞虱回迁过程模拟研究
A modeling study of Nilaparvata lugens' return migration by using WRF-Flexpart
投稿时间:2015-12-31  最后修改时间:2017-01-12
DOI: 10.5846/stxb201512312615
关键词褐飞虱  天气条件  WRF-Flexpart模式  迁飞轨迹  迁入虫量分布
Key Words Nilaparvata lugens(Stål)  weather condition  WRF-FLEXPART model  migration trajectory  distribution of immigrating heads
基金项目国家自然科学基金(41475106,41075086);江苏省农业科技自主创新基金项目(CX(12)3056);江苏省高校自然科学研究项目(14KJA170003);江苏省普通高校研究生科研创新计划项目(CXLX13_496);江苏高校优势学科建设工程资助项目(IRT1147)
作者单位E-mail
刘垚 南京信息工程大学江苏省农业气象重点实验室, 南京 210044;南京信息工程大学, 气象灾害预报预警与评估协同创新中心, 南京 210044;中国气象局旱区特色农业气象灾害监测预警与风险管理重点实验室, 银川 750002  
包云轩 南京信息工程大学江苏省农业气象重点实验室, 南京 210044;南京信息工程大学, 气象灾害预报预警与评估协同创新中心, 南京 210044 baoyx@nuist.edu.cn 
陆明红 农业部全国农业技术推广服务中心, 北京 100125  
刘万才 农业部全国农业技术推广服务中心, 北京 100125  
摘要点击次数 86
全文下载次数 34
摘要:
褐飞虱是影响亚洲地区水稻生产的迁飞性害虫,其远距离迁飞与种群分布会受到大气环流和局地天气条件的影响。采用WRF-Flexpart耦合模式、GIS空间分析和Vincenty方位角/距离估计等方法,选取2009年9月30日-10月7日发生在中国15个植保站的褐飞虱迁入过程,并根据模式输出、GIS分析和轨迹计算结果探讨了多种大气物理胁迫共存下大气动力场、降水、温度场和湿度场对褐飞虱秋季回迁过程及其降落虫量分布的影响。研究结果表明:(1)此次重大迁飞过程中,大气动力场、降水、温度场和湿度场在不同地区、不同时间段对褐飞虱种群的迁入和降落起了不同的作用,因而造成了迁入虫量分布的时空差异。(2)从各虫源地迁出的褐飞虱种群是向着温暖而湿润的地方迁飞的,迁飞方向主要受所经区域盛行风向的影响,迁飞距离由途径区的风速所决定。(3)当迁飞种群途径局地降水较多的区域时,初期迁入量并不多,经过短暂的一段时间后降虫量会突然增加。(4)在一定的温度范围内,大气湿度条件会影响褐飞虱的迁入虫量:褐飞虱迁入虫量在近地面温度高于26℃、相对湿度(925 hPa)大于70%且下沉气流较强的地区分布最多,而在近地面温度低于24℃、相对湿度(925 hPa)小于50%、无明显下沉气流的地区未发现有褐飞虱的迁入。
Abstract:
Nilaparvata lugens (N. Lugens) is one of the pests which have a large detrimental impact on rice production in Asia. Long-distance migration and population distribution are highly dependent on large-scale atmospheric circulation and local weather condition. The observational data of light-trapped pests from 1979 to 2015 were analyzed to quantify the impact of large-scale atmospheric circulation on southward migration of N. Lugens. A typical heavy event of southward migration occurring in the major rice-growing regions of the southern China from September 30th to October 7th, 2009 was presented to discuss the impact of different weather conditions on immigration population of N. Lugens in different rice-growing areas in South or Southeast China. The event was characterized by large-range precipitation in South China. A large amount of precipitation and high temperature were observed in the coastal regions of Fujian Province, South Jiangxi Province, and Southwest Hunan Province. In contrast, the rainfall was much less and temperature was relatively lower in the middle and north parts of Jiangxi Province compared to other regions and the rainfall was sporadic and the temperature was high in Hubei Province. As a result, the amount of light-trapped N. Lugens was the largest in the coastal regions of Fujian Province, South Jiangxi Province, and Southwest Hunan Province, and the least in the middle and north parts of Jiangxi Province. The trapped amount in Hubei Province lied in between the two previous group regions. In this study, an online-coupling system of the Weather Research and Forecast Model (WRF) with FLEXible PARTicle dispersion model (FLEXPART) was utilized to simulate the meteorological conditions and to calculate the trajectories and the parameters associated with N. lugens' migration. ArcGIS (a geographic information system software) was used to perform detailed spatial analysis and the Vincenty's formula was applied to the calculation of azimuth and distance of migration. Several important results were identified from the study. First, meteorological factors including wind fields, rainfall, temperature, humidity conditions played vital and different roles in the immigration and land-falling of N. lugens in different areas during different periods and contributed the discrepancy of temporal and spatial distributions of N. lugens' migration population. Second, N. lugens tended to immigrate toward the warm and humid areas. Migrating direction and migrating distance were determined by wind direction and wind speed of prevailing winds, respectively. Third, the immigrating amount of N. lugens was small at the beginning but can be accumulated to a significant level in a short time period. Fourth, within the certain range of air temperature, air humidity is the key parameters in determining migration population and temporal-spatial distribution. Immigrating N. lugens were concentrated in the regions with 2 m temperature higher than 26℃ and the relative humidity higher than 70% at the 925 hPa level whereas very few immigrating N. lugens can be observed in the region with 2 m temperature lower than 24℃ and the relative humidity less than 50% at 925 hPa level.
HTML 查看全文   查看/发表评论  下载PDF阅读器

您是本站第 60634535 位访问者

Copyright © 2005-2019   京ICP备06018880号
地址:北京海淀区双清路18号
  邮编:100085    电话:010-62941099
  E-mail : shengtaixuebao@rcees.ac.cn
本系统由北京勤云科技发展有限公司提供技术支持