【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。更多还原

【Abstract】 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.更多还原