【摘要】：2015年9月利用雙頻識(shí)別聲納DIDSON(Dual-Frequency Identification Sonar)對(duì)青草沙水庫(kù)的主要魚(yú)類資源進(jìn)行了探測(cè)評(píng)估。利用漁業(yè)聲學(xué)數(shù)據(jù)處理軟件Echoview對(duì)DIDSON采集的數(shù)據(jù)進(jìn)行處理分析,對(duì)圖像中的魚(yú)體進(jìn)行跟蹤計(jì)數(shù),結(jié)合人工目視計(jì)數(shù)驗(yàn)證了軟件計(jì)數(shù)的準(zhǔn)確性。運(yùn)用DIDSON統(tǒng)計(jì)魚(yú)類數(shù)量,并結(jié)合漁獲物的魚(yú)類體長(zhǎng)、體質(zhì)量等信息進(jìn)一步評(píng)估水庫(kù)中主要魚(yú)類的資源量。評(píng)估結(jié)果表明,運(yùn)用平面密度法統(tǒng)計(jì)水庫(kù)魚(yú)類數(shù)量約為1.16×10~7~1.24×10~7尾,水庫(kù)中小型魚(yú)類(體長(zhǎng)20 cm)在數(shù)量上所占比例較多(78.3%),而中大型魚(yú)類(體長(zhǎng)40 cm)所占比例較少(8.5%)。由庫(kù)區(qū)魚(yú)類的平均體長(zhǎng)體質(zhì)量關(guān)系可得出水庫(kù)漁業(yè)資源量約為4 620~4 980 t。利用GIS分析了各航線內(nèi)魚(yú)體質(zhì)量的空間分布狀態(tài),結(jié)果顯示水庫(kù)東南側(cè)深水區(qū)資源量較多,而水庫(kù)西北側(cè)資源量較少。本文創(chuàng)新性地利用DIDSON聲納數(shù)據(jù)進(jìn)行青草沙水庫(kù)漁業(yè)資源的評(píng)估,獲得了客觀的結(jié)果,并提出了一些建議及展望。
[Abstract]:In September 2015, the main fish resources of Qingcaosha Reservoir were evaluated by using dual frequency recognition sonar DIDSON (Dual-Frequency Identification Sonar). The data collected by DIDSON were processed and analyzed by using fishery acoustics data processing software Echoview, and the accuracy of the software was verified by tracking and counting the fish body in the image. DIDSON was used to calculate the fish quantity and the fish body length and body mass were used to evaluate the resources of the main fish in the reservoir. The results show that the number of fish in the reservoir is about 1.16 脳 10 ~ (7) ~ 1.24 脳 10 ~ (7) by using the plane density method, and the proportion of small and medium-sized fish (20 cm) in the reservoir is more (78.3%). The proportion of medium and large fish (40 cm body length) was less (8.5%). According to the average body length mass relationship of fish in the reservoir area, it can be concluded that the fishery resources of the reservoir is about 4 620 ~ 4 980 t. The spatial distribution of fish mass in each route was analyzed by GIS. The results showed that there were more resources in the southeastern side of the reservoir and less in the west and north side of the reservoir. This paper creatively uses DIDSON sonar data to evaluate fishery resources of Qingcaosha Reservoir, obtains objective results, and puts forward some suggestions and prospects.
【作者單位】： 上海海洋大學(xué)海洋科學(xué)學(xué)院;上海市海洋局河口海洋測(cè)繪工程技術(shù)研究中心;上海海洋大學(xué)海洋生態(tài)與環(huán)境學(xué)院;上海海洋大學(xué)水產(chǎn)與生命學(xué)院;
【基金】：國(guó)家自然科學(xué)基金青年科學(xué)基金(41606210) 上海市浦江人才計(jì)劃(16PJ1403900) 中國(guó)博士后科學(xué)基金(2015M581586)
【分類號(hào)】：S932.4

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