| 摘要: |
| 湖泊水华是全世界面临的严重生态环境问题之一,对人类和生态系统健康都有重大影响.以太湖为研究区域,基于近年的蓝藻水华及水环境监测数据,结合自组织特征映射神经网络和模糊风险评价方法,对太湖不同监测点蓝藻水华的发生风险进行综合评价,并借助GIS地学统计分析方法对全太湖蓝藻水华发生风险进行区划,绘制太湖蓝藻水华发生风险区划图.结果表明:太湖被分为重度风险区、中度风险区、轻度风险区、微风险区,各风险区基本呈带状分布.从各风险区面积来看,重度风险区、中度风险区、轻度风险区的面积约各占太湖总面积的1/5,而微风险区约占太湖总面积的2/5;从各风险区位置来看,重度风险区主要分布在西北部区域,且从整个湖区来看,蓝藻水华的发生风险等级自西北到东南依次递减.本研究揭示太湖水华灾害风险的空间分布规律,对支撑水环境监测和水华灾害防治方案的制定具有一定的意义. |
| 关键词: 太湖 蓝藻水华 风险评价 风险区划 |
| DOI：10.18307/2015.0619 |
| 分类号: |
| 基金项目:中国科学院科技服务网络计划(STS)资助. |
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| Algae bloom risk zoning of Lake Taihu |
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ZHANG Yanhui1,2, LI Weifeng2, CHEN Qiuwen3
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1.Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P.R.China;2.State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P.R.China;3.Eco-Environmental Research Center, Nanjing Hydraulic Research Institute, Nanjing 210029, P.R.China
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| Abstract: |
| Water bloom is one of the most serious ecological environmental problems, which threaten the health of human being and local ecosystems. In this study, we took Lake Taihu in China as the study area,and accessed the occurrence risk of blue-green algae blooms comprehensively based on the individual site,combining self-organizing feature map neural network and fuzzy risk assessment method.Then We exploited the blue-green algae bloom risk zoning and draw the zoning map based on the individual site specific blue-green algae bloom risk assessment through GIS geological statistics analysis method. The assessment results showed that the whole Lake Taihu was divided into four risk zones: sever zone, moderate zone, mild zone and none risk zone, distributing along the aclinic aspect of the slope from northwest to southeast. As a whole, 3/5 of Lake Taihu faced blue-green algae bloom occurrence risk and only less than 2/5 lake area was little or no risk. The blue-green algae bloom occurrence risk presented an obvious mitigation from the northwest to the southeast, where the most sever risk zone was on the north-west. In summary,this study revealed the spatial distribution of blue-green algae bloom occurrence and these method and result would be helpful to support efficient blue-green algae bloom monitoring and risk management. |
| Key words: Lake Taihu blue-green algae bloom risk assessment risk zoning |
