象山港流域河流形态特征定量分析

袁麒翔; 李加林; 徐谅慧; 陈鹏程; 王明月

doi:10.3969/j.issn.1001-909X.2014.03.007

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海洋学研究 ›› 2014, Vol. 32 ›› Issue (3) : 50-57. DOI: 10.3969/j.issn.1001-909X.2014.03.007

研究论文

象山港流域河流形态特征定量分析

袁麒翔^1,2, 李加林^*1,2, 徐谅慧¹, 陈鹏程¹, 王明月¹

作者信息 +

Quantitative analysis of river morphological features in Xiangshan Bay Basin

YUAN Qi-xiang^1,2, LI Jia-lin^*1,2, XU Liang-hui¹, CHEN Peng-cheng¹, WANG Ming-yue¹

Author information +

文章历史 +

摘要

象山港流域发育有自低山流向海洋的众多山溪型河流,形成相对独立的小流域。本文采用流域地貌数学模型与地理信息系统技术相结合的方法,对港湾内小尺度河流特征进行了定量分析。结果表明:(1)象山港流域河流的河长分维值普遍较小,大嵩江的河长最长且主河道最为蜿蜒曲折;(2)凫溪和大嵩江的水系结构较象山港流域其它河流的结构更为复杂且发育更加充分;(3)除了颜公河和钱仓河外,流域内大部分河流纵剖面线呈现下凹型且主河道有多次阶梯状起伏;(4) 基岩性S-A模型的应用具有一定的局限性,凫溪和大嵩江的基岩河床处于均衡状态。

Abstract

There are many small-scale mountain rivers in Xiangshan Bay Basin, which flow from low mountains to the sea and form a relatively independent small watershed. In this study, the small-scale river features in the inner bay were quantitatively analyzed by the combined method of fluvial landform mathematical model and geographic information system technology. The results show that: (1)Dasong River is the longest and the most meandering river in Xiangshan Bay Basin, whose river fractal dimension value is generally small. (2)The river structures of Fuxi Stream and Dasong River are more complicated and well-developed than those of other rivers in Xiangshan Bay Basin. (3) Overall, apart from the some rivers (such as Yangong River and Qiancang River), other rivers show a trend of concave and stair-step shape. (4)The applications of S-A model has a certainty limitation. Fuxi Stream and Dasong River's bedrock riverbeds are in equilibrium in the S-A model.

导出引用

袁麒翔, 李加林, 徐谅慧, 陈鹏程, 王明月. 象山港流域河流形态特征定量分析[J]. 海洋学研究. 2014, 32(3): 50-57 https://doi.org/10.3969/j.issn.1001-909X.2014.03.007

YUAN Qi-xiang, LI Jia-lin, XU Liang-hui, CHEN Peng-cheng, WANG Ming-yue. Quantitative analysis of river morphological features in Xiangshan Bay Basin[J]. Journal of Marine Sciences. 2014, 32(3): 50-57 https://doi.org/10.3969/j.issn.1001-909X.2014.03.007

中图分类号： P931

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基金

国家自然科学基金项目资助(41171073,41471004);浙江省自然科学基金项目资助(Y5110321);浙江省哲学社会科学基金项目资助(12JDHY01Z);宁波市社科规划项目资助(G12-XK05);宁波大学优秀学位论文培育基金项目资助(py2013019);浙江省大学生科技创新活动暨新苗人才计划项目资助(2014R405091,2014R405076)