Tidal Energy: The benthic effects of an operational tidal stream turbine.
Tidal Energy: The benthic effects of an operational tidal stream turbine.
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DOI：
10.1016/j.marenvres.2017.06.007
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发表时间：
2017-08
影响因子：
3.3
通讯作者：
J. O'Carroll;R. Kennedy;A. Creech;G. Savidge
中科院分区：
文献类型：
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作者：
J. O'Carroll;R. Kennedy;A. Creech;G. Savidge
对世界上第一个符合电网要求的潮汐流涡轮机SeaGen附近的地表石礁群落进行了改进流量的影响评估。对SeaGen的尾迹进行建模，并将输出结果与位置和基质描述变量结合使用，以将地表外群落结构的变化与改变的物理环境联系起来。利用人工神经网络（ANN）和广义线性模型（GLM）预测了与海洋湍流尾流相关的地表层群落生态状态（ES）分布。ES采用高能硬基质（HEHS）指数进行分配。ES在整个调查区域都很高，无法利用人工神经网络或GLM对ES的空间分布进行预测。将研究区划分为3个处理区：D1区；在SeaGen中心的一个转子直径（16米）内，区域D2；转子直径在1 ~ 3之间，面积D3；三转子直径外。D1区在地表层群落结构、裸岩分布和ES方面的变化明显大于D2和D3区。
The effect of modified flow on epifaunal boulder reef communities adjacent to the SeaGen, the world's first grid-compliant tidal stream turbine, were assessed. The wake of the SeaGen was modelled and the outputs were used in conjunction with positional and substrate descriptor variables, to relate variation in epifaunal community structure to the modified physical environment. An Artificial Neural Network (ANN) and Generalised Linear Model (GLM) were used to make predictions on the distribution of Ecological Status (ES) of epifaunal communities in relation to the turbulent wake of the SeaGen. ES was assigned using the High Energy Hard Substrate (HEHS) index. ES was largely High throughout the survey area and it was not possible to make predictions on the spatial distribution of ES using an ANN or GLM. Spatial pattern in epifaunal community structure was detected when the study area was partitioned into three treatment areas: area D1; within one rotor diameter (16 m) of the centre of SeaGen, area D2; between one and three rotor diameters, and area D3; outside of three rotor diameters. Area D1 was found to be significantly more variable than D2 and D3 in terms of epifaunal community structure, bare rock distributions and ES.