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引用本文:王震,吴挺峰,邹华,贾小网,黄列,梁朝荣,张志浩.太湖不同湖区风浪的季节变化特征.湖泊科学,2016,28(1):217-224. DOI:10.18307/2016.0125
WANG Zhen,WU Tingfeng,ZOU Hua,JIA Xiaowang,HUANG Lie,LIANG Chaorong,ZHANG Zhihao.Changes in seasonal characteristics of wind and wave in different regions of Lake Taihu. J. Lake Sci.2016,28(1):217-224. DOI:10.18307/2016.0125
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太湖不同湖区风浪的季节变化特征
王震1, 吴挺峰2, 邹华1, 贾小网3, 黄列4, 梁朝荣4, 张志浩4
1.江南大学环境与土木工程学院, 无锡 214122;2.中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 南京 210008;3.江苏省水文水资源勘测局无锡分局, 无锡 214031;4.河海大学水文水资源学院, 南京 210098
摘要:
为明晰太湖风浪的空间分布及季节变化,在湖心区设立波浪观测站,利用其记录的波浪数据证明SWAN模型能够较好地模拟太湖风浪.基于所建模型,对2013年自然风场条件下太湖不同湖区风浪季节动态进行模拟分析,结果表明:受岸线、地形和岛屿等地理因素影响,大太湖的风浪总是最强,其有效波高均值为0.523m;而东太湖风浪最小,有效波高均值为0.305m.受盛行风场季节变化影响,太湖春、夏季有效波高均值明显大于秋、冬季.太湖波浪的能量主要来源于风场,其有效波高随风速增大而增大,两者呈极显著正相关.而风向则可以通过改变风区长度来影响风浪生消.在偏东风作用下,太湖湖西区的风浪大于东部湖区;而受盛行于冬季的偏北风影响,太湖南部水域风浪要大于北部.同时,太湖风浪的时空分布特征是造成太湖水质参数、沉积物和水生植物空间分布差异的重要原因之一.
关键词:  太湖分区  风浪  季节动态  空间分布  SWAN模型  水生植物
DOI:10.18307/2016.0125
分类号:
基金项目:国家水体污染控制与治理科技重大专项(2012ZX07503-002-01)和国家自然科学基金项目(41230744,41471021,41301531)联合资助.
Changes in seasonal characteristics of wind and wave in different regions of Lake Taihu
WANG Zhen1, WU Tingfeng2, ZOU Hua1, JIA Xiaowang3, HUANG Lie4, LIANG Chaorong4, ZHANG Zhihao4
1.School of Environment and Civil Engineering, Jiangnan University, Wuxi 214122, P. R. China;2.State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P. R. China;3.Wuxi Branch of Jiangsu Province Hydrology and Water Resource Investigation Bureau, Wuxi 214031, P. R. China;4.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. China
Abstract:
To understand the spatial and temporal distribution of wind and wave in Lake Taihu, wave observatory was set up in the center of lake. It was found that SWAN model could simulate the waves well in Lake Taihu by using the wave data recorded. Based on the calibrated model, waves of different seasons in Lake Taihu were simulated under the natural wind conditions in 2013. The results showed that due to shoreline, topography and islands, waves in the large Taihu water always showed the strongest with the mean significant wave height of 0.523m, while waves in east Lake Taihu were the smallest with the mean significant wave height of 0.305m. The values of mean significant wave height were higher in spring and summer than in autumn and winter because of seasonal changes. Wave energy in Lake Taihu was driven mainly by wind, leading to the significant wave height increased with wind speed. A significant positive correlation was found between significant wave height and wind speed. The wind direction affected growth and extinction of waves with changing the length of wind fetch. Under the easterly wind, waves in western lake was greater than that in eastern lake; while under northerly wind in winter, waves in southern lake was greater than that in northern lake. Meanwhile, the spatial and temporal distribution of waves was one of the major reasons to form a different spatial distribution of water quality, sediment and aquatic macrophytes in Lake Taihu.
Key words:  Partitions of Lake Taihu  wind and wave  seasonal dynamics  spatial distribution  SWAN model  aquatic macrophytes
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