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基于WRF-Flexpart的一次褐飞虱回迁过程模拟研究

刘垚 包云轩 陆明红 刘万才

生态学报2017,Vol.37Issue(13):4466-4475,10.
生态学报2017,Vol.37Issue(13):4466-4475,10.DOI:10.5846/stxb201512312615

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

刘垚 1包云轩 2陆明红 3刘万才1

作者信息

  • 1. 南京信息工程大学江苏省农业气象重点实验室,南京210044
  • 2. 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
  • 3. 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
  • 折叠

摘要

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 onlinecoupling 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 26C 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 24C and the relative humidity less than 50% at 925 hPa level.

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 (St(a)l)/weather condition/WRF-FLEXPART model/migration trajectory/distribution of immigrating heads

引用本文复制引用

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[J].生态学报,2017,37(13):4466-4475,10.

基金项目

国家自然科学基金(41475106,41075086) (41475106,41075086)

江苏省农业科技自主创新基金项目(CX(12) 3056) (CX(12)

江苏省高校自然科学研究项目(14KJA170003) (14KJA170003)

江苏省普通高校研究生科研创新计划项目(CXLX13_496) (CXLX13_496)

江苏高校优势学科建设工程资助项目(IRT1147) (IRT1147)

生态学报

OA北大核心CHSSCDCSCDCSTPCD

1000-0933

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