双频识别声呐提取沉水植物盖度的可行性初探
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摘要
沉水植物作为湖泊生态系统的初级生产者,在固定底泥、防止沉积物再悬浮、净化水质等方面具有重要的环境功能。因此,探究沉水植物的分布、群落结构及其演替规律,对于湖泊水生态环境修复工作有着重要意义。传统的沉水植物调查方法不仅调查效率低,而且在取样过程中会对沉水植物造成破坏,有必要探索更为高效科学的调查方法。由于双频识别声呐可实现在浑浊、黑暗的水下获得清晰的影像,利用双频识别声呐探测技术在不破坏沉水植物的情况下获取了太湖贡湖湾4种典型沉水植物在不同季节的影像数据,通过影像处理提取沉水植物盖度。结果表明该方法获得的盖度与传统调查结果较为接近,且该方法更加方便快捷,可为湖泊水生态环境修复提供支撑。
Submersed macrophyte, as a priliminary producer of lake ecosystems, have important environmental functions in fixing bottom sediment, preventing sediment resuspension, and purifying water quality. Probing into the distribution, community structure and succession law of submersed macrophyte in lake is of vital importance in protecting and restoring lake water eco-environment. Traditional investigation methods are inefficient, and will also cause damages to the submersed macrophytes. In view of this, by employing dual-frequency identification sonar(DIDSON) which could obtain clear image in turbid and dark water, we acquired the underwater images of four typical submersed macrophytes in Gonghu bay of Taihu Lake in different seasons on the premise of not disturbing submersed macrophytes. Furthermore, we extracted the coverage of submersed macrophytes through post-processing. Results manifested that the coverages of submersed macrophytes in Lake Taihu acquired by DIDSON were close to the results by traditional methods, and DIDSON is more convenient and efficient. The research results provide support for lake water eco-environment restoration.
Submersed macrophyte, as a priliminary producer of lake ecosystems, have important environmental functions in fixing bottom sediment, preventing sediment resuspension, and purifying water quality. Probing into the distribution, community structure and succession law of submersed macrophyte in lake is of vital importance in protecting and restoring lake water eco-environment. Traditional investigation methods are inefficient, and will also cause damages to the submersed macrophytes. In view of this, by employing dual-frequency identification sonar(DIDSON) which could obtain clear image in turbid and dark water, we acquired the underwater images of four typical submersed macrophytes in Gonghu bay of Taihu Lake in different seasons on the premise of not disturbing submersed macrophytes. Furthermore, we extracted the coverage of submersed macrophytes through post-processing. Results manifested that the coverages of submersed macrophytes in Lake Taihu acquired by DIDSON were close to the results by traditional methods, and DIDSON is more convenient and efficient. The research results provide support for lake water eco-environment restoration.
引文
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[3] 李威,符辉,曹特,等.抚仙湖沉水植物分布及其碳、氮和磷化学计量学特征[J].湖泊科学,2017,29(2):448-457.
[4] 方精云,王襄平,沈泽昊,等.植物群落清查的主要内容、方法和技术规范[J].生物多样性,2009,17(6):533-548.
[5] 王琪,周兴东,罗菊花,等.近30年太湖沉水植物优势种遥感监测及变化分析[J].水资源保护,2016,32(5):123-129.
[6] 宋挺,刘军志,顾征帆,等.利用多源遥感数据预警太湖沉水植物与藻类水华过程的实例研究[J].环境污染与防治,2016,38(4):12-17.
[7] 徐兆安,吴东浩,王玉.DT-X回声探测仪在太湖沉水植物调查中的应用[J].人民长江,2016,47(17):15-18.
[8] 吴东浩,王玉,徐兆安.基于水声学的太湖贡湖湾沉水植物盖度调查[J].水文,2016,36(4):44-47.
[9] 张进.基于双频识别声纳DIDSON的鱼群定量评估技术[D].上海:上海海洋大学,2012.
[10] 荣海北,潘卫凯,李志荣.双频识别声呐在三河船闸工程水下检测中的应用[J].水利建设与管理,2014,34(11):60-62.
[11] 陈星辰,陈斌.双频识别声呐水下影像监测系统及其应用[J].中国水能及电气化,2015(11):22-25,17.
[12] 赵凯,李振国,魏宏农,等.太湖贡湖湾水生植被分布现状(2012年)[J].湖泊科学,2015,27(3):421-428.
[13] 甘新华,林清.广西河池沉水植物多样性及分布初步调查[J].广西师范学院学报(自然科学版),2008,25(3):83-88.