| 可视化非确定性河流水质模型的研究与应用 |
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| 引用本文： | 姜云超,南忠仁. 可视化非确定性河流水质模型的研究与应用[J]. 遥感技术与应用, 2007, 22(5): 598-601. DOI: 10.11873/j.issn.1004-0323.2007.5.598 |
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| 作者姓名： | 姜云超 南忠仁 |
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| 作者单位： | 兰州大学资源环境学院, 西部环境教育部重点实验室, 甘肃 兰州 730000 |
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| 摘 要： | 针对目前普遍使用的确定性水质模型的局限性,在对人工神经网络的传统算法进行改进的基础上将其与地理信息系统相结合对可视化的非确定性河流水质模型进行了研究,并应用黄河白银段的水质实测资料对模型进行了检验。模拟结果表明,这种可视化的非确定性河流水质模型能够很好地模拟河流水质,并且简单可行。
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| 关 键 词： | 人工神经网络 算法改进 非确定性河流水质模型 地理信息系统 可视化 |
| 文章编号： | 1004-0323（2007）05-0598-04 |
| 收稿时间： | 2007-02-10 |
| 修稿时间： | 2007-05-14 |
Research and Application of Visually Uncertain Model of River Water Quality |
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| JIANG Yun-chao,NAN Zhong-ren. Research and Application of Visually Uncertain Model of River Water Quality[J]. Remote Sensing Technology and Application, 2007, 22(5): 598-601. DOI: 10.11873/j.issn.1004-0323.2007.5.598 |
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| Authors: | JIANG Yun-chao NAN Zhong-ren |
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| Affiliation: | College of Resource and Environment Sciences Lanzhou University ＆ National Laboratoryof Western China's Environmental Systems,Lanzhou,730000,China |
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| Abstract: | Integrating Geographic Information System combined with an improved artificial neural network create a visually uncertain river water quality model to complement the limitations of deterministic models used commonly.The coupled model was tested by using the observed data of Baiyin section of Yellow River.The results indicate the proposed model can well simulate the water quality and easy to operate. |
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| Keywords: | Artificial neural network Improved algorithms Uncertain river water quality model Geographic information system Visualization |
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