茶葉霜凍害精細(xì)化預(yù)警——以浙江省松陽縣為例
發(fā)布時間:2018-10-15 14:08
【摘要】:霜凍是茶葉生產(chǎn)最主要的氣象災(zāi)害,嚴(yán)重危害茶產(chǎn)業(yè)的可持續(xù)發(fā)展。本文根據(jù)浙江省70個基本氣象站、松陽縣25個區(qū)域自動氣象站的觀測數(shù)據(jù),以及最優(yōu)化集成釋用(OCF)精細(xì)化數(shù)值預(yù)報產(chǎn)品、30 m分辨率DEM數(shù)據(jù),通過GIS技術(shù)、混合插值法,建立了基于地理信息的日最低氣溫空間推算模型,并采用日最低氣溫作為茶葉霜凍害預(yù)警指標(biāo),結(jié)合ZY-3衛(wèi)星遙感數(shù)據(jù)提取的茶樹種植區(qū)分布圖,開展了浙江省松陽縣茶葉霜凍害精細(xì)化預(yù)警。結(jié)果表明:細(xì)網(wǎng)格日最低氣溫空間推算模型的絕對誤差平均0.35℃,相對誤差平均2.83%,推算精度高;茶葉霜凍害精細(xì)化預(yù)警時效8 d,空間分辨率30 m×30 m;2017年3月15日的茶樹霜凍害預(yù)警效果良好,預(yù)估茶園受災(zāi)面積2340.0 hm~2,占全縣茶園面積的30.6%;其中,輕度霜凍害面積1939.4 hm~2,中度霜凍害面積367.2 hm~2,重度霜凍害面積34.9 hm~2,分別占全縣茶園面積的25.35%、4.80%和0.46%;實地調(diào)查結(jié)果與預(yù)估結(jié)果基本一致。
[Abstract]:Frost is the main meteorological disaster in tea production, which seriously endangers the sustainable development of tea industry. Based on the observational data of 70 basic meteorological stations in Zhejiang Province and 25 regional automatic weather stations in Songyang County, as well as the optimized integrated interpretation of (OCF) refined numerical prediction products, 30m resolution DEM data, the GIS technique and the mixed interpolation method are used in this paper. The spatial estimation model of daily minimum temperature based on geographic information was established, and the daily minimum temperature was used as the early warning index of tea frost injury, and the distribution map of tea planting area was extracted by ZY-3 satellite remote sensing data. The fine warning of tea frost injury was carried out in Songyang County, Zhejiang Province. The results show that the absolute error and relative error of the model are 0.35 鈩,
本文編號:2272785
[Abstract]:Frost is the main meteorological disaster in tea production, which seriously endangers the sustainable development of tea industry. Based on the observational data of 70 basic meteorological stations in Zhejiang Province and 25 regional automatic weather stations in Songyang County, as well as the optimized integrated interpretation of (OCF) refined numerical prediction products, 30m resolution DEM data, the GIS technique and the mixed interpolation method are used in this paper. The spatial estimation model of daily minimum temperature based on geographic information was established, and the daily minimum temperature was used as the early warning index of tea frost injury, and the distribution map of tea planting area was extracted by ZY-3 satellite remote sensing data. The fine warning of tea frost injury was carried out in Songyang County, Zhejiang Province. The results show that the absolute error and relative error of the model are 0.35 鈩,
本文編號:2272785
本文鏈接:http://sikaile.net/kejilunwen/nykj/2272785.html
最近更新
教材專著