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基于MODIS數(shù)據(jù)的2016年黃海綠潮災(zāi)害動(dòng)態(tài)監(jiān)測(cè)研究

發(fā)布時(shí)間:2018-03-19 09:48

  本文選題:MODIS 切入點(diǎn):綠潮 出處:《海洋科學(xué)》2017年05期  論文類型:期刊論文


【摘要】:本研究利用高分辨率的GF-1衛(wèi)星影像對(duì)MODIS數(shù)據(jù)綠潮監(jiān)測(cè)的精度進(jìn)行驗(yàn)證,并在此基礎(chǔ)上利用MODIS數(shù)據(jù)對(duì)2016年黃海綠潮過程進(jìn)行連續(xù)動(dòng)態(tài)監(jiān)測(cè),結(jié)果表明:相較于GF-1衛(wèi)星影像,MODIS數(shù)據(jù)對(duì)綠潮的監(jiān)測(cè)誤差高于50%;2016年黃海綠潮移動(dòng)路徑總體呈先向北,然后沿山東半島海岸線向東北方向移動(dòng),并最終停滯于青島、威海附近海域;此次綠潮持續(xù)時(shí)間為80天左右,并呈現(xiàn)出與往年類似的"出現(xiàn)→發(fā)展→暴發(fā)→治理→消亡"的規(guī)律;其中"出現(xiàn)"的時(shí)間為5月12日,"發(fā)展"階段時(shí)間為5月中下旬,此時(shí)綠潮主體分布于蘇北渾水區(qū),適宜前置打撈治理,當(dāng)5月底6月初綠潮進(jìn)入清水區(qū)之后才開始進(jìn)入"暴發(fā)"階段,本年度綠潮災(zāi)害"暴發(fā)"規(guī)模較大,對(duì)山東沿海水產(chǎn)養(yǎng)殖業(yè)及旅游業(yè)影響嚴(yán)重。本研究成果對(duì)于綠潮預(yù)警和防控具有科學(xué)和實(shí)際意義。
[Abstract]:The high resolution GF-1 satellite image is used to verify the accuracy of green tide monitoring of MODIS data, and on this basis, the continuous dynamic monitoring of Huang Hai green tide process in 2016 is carried out by using MODIS data. The results show that compared with GF-1 satellite image, the monitoring error of green tide is higher than 50. In 2016, Huang Hai's green tide movement path was first northward, then moved northeast along the coast of Shandong Peninsula, and finally stagnated in Qingdao, near Weihai. The green tide lasted about 80 days and appeared to be similar to previous years. 鈫扗evelopment. 鈫扥utbreak. 鈫扜overnance. 鈫扵he law of extinction, in which the time of "appearing" is May 12th, and the period of "development" is the middle and late period of May, when the main body of green tide is distributed in the muddy water area of northern Jiangsu Province, which is suitable for pre-salvage treatment. When the green tide entered the clear water area at the end of May and the beginning of June, it began to enter the stage of "outbreak", and the scale of the "outbreak" of the green tide disaster in this year was relatively large. The results of this study are of scientific and practical significance for early warning and prevention and control of green tide.
【作者單位】: 中國(guó)科學(xué)院煙臺(tái)海岸帶研究所;中國(guó)科學(xué)院大學(xué);
【基金】:青島海洋科學(xué)與技術(shù)國(guó)家實(shí)驗(yàn)室鰲山科技創(chuàng)新計(jì)劃項(xiàng)目(2016ASKJ02) 中國(guó)科學(xué)院重點(diǎn)部署項(xiàng)目(KZZD-EW-14);中國(guó)科學(xué)院戰(zhàn)略性先導(dǎo)科技專項(xiàng)(A類)(XDA11020000);中國(guó)科學(xué)院煙臺(tái)海岸帶所人才引進(jìn)項(xiàng)目 科技部基礎(chǔ)支撐項(xiàng)目(2014FY210600)~~
【分類號(hào)】:X55;X87

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1 劉良明;周軍元;;MODIS數(shù)據(jù)的海洋表面溫度反演[J];地理空間信息;2006年02期

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