投稿中心

审稿中心

编辑中心

期刊出版

网站地图

友情链接

引用本文:刘健,张奇,左海军,靳晓莉,李丽娇,叶许春.鄱阳湖流域径流模型.湖泊科学,2009,21(4):570-578. DOI:10.18307/2009.0417
LIU Jian,ZHANG Qi,ZUO Haijun,JIN Xiaoli,LI Lijiao,YE Xuchun.A surface runoff model for Lake Poyang watershed. J. Lake Sci.2009,21(4):570-578. DOI:10.18307/2009.0417
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 3777次   下载 2575 本文二维码信息
码上扫一扫!
分享到: 微信 更多
鄱阳湖流域径流模型
刘健1,2, 张奇1, 左海军1,2, 靳晓莉1,2, 李丽娇1,2, 叶许春1,2
1.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;2.中国科学院研究生院, 北京 100049
摘要:
流域径流是鄱阳湖主要来水,建立鄱阳湖流域径流模型对揭示湖泊水量平衡及其受流域自然和人类活动的影响具有重要意义.针对鄱阳湖-流域系统的特点:流域面积大(16.22×104km2)、多条入湖河流、湖滨区坡面入湖径流等,研究了相应的模拟方法,建立了考虑流域土壤属性和土地利用空间变化的鄱阳湖流域分布式径流模型.采用6个水文站1991-2001年的实测河道径流对模型进行了率定和验证.结果显示,模型整体模拟精度较高.其中,赣江、信江和饶河均取得了较好的模拟结果,月效率系数为0.82-0.95;抚河和修水模拟精度略低,为0.65-0.78.模型揭示了研究时段内年平均入湖径流总量为1623×108m3,其中,赣江最多,占47%,其次为信江和抚河,分别占13%和12%,湖滨区坡面入湖径流约占4%,其余24%来自饶河、修水以及其它入湖支流.模型将用于评估流域下垫面或气候变化引起的入湖水量变化,为湖泊水量平衡计算提供依据.
关键词:  湖泊-流域系统  分布式径流模型  湖泊水量平衡  鄱阳湖
DOI:10.18307/2009.0417
分类号:
基金项目:中国科学院知识创新工程重要方向项目(KZCX2-YW-337);中国科学院重大项目(KZCX1-YW-08-01);国家自然科学基金(40871026,40471018)联合资助
A surface runoff model for Lake Poyang watershed
LIU Jian1,2, ZHANG Qi1, ZUO Haijun1,2, JIN Xiaoli1,2, LI Lijiao1,2, YE Xuchun1,2
1.State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P. R. China;2.Graduate School of Chinese Academy of Sciences, Beijing 100049, P. R. China
Abstract:
Hydrological modelling of surface runoff for Lake Poyang watershed is of significant importance since the surface runoff is the main source of water inflows of the lake. The hydrological model can be used to reveal the influences of changes of natural and human conditions in the watershed on the surface runoff and consequently on the water balance of the lake. Hydrological modeling of the Lake Poyang watershed is challenging due to the complexities of the system, e.g. the large size (162.2 ×104 Km2) of the area with high heterogeneity of soil types and land uses, contribution of stream flow from multiple rivers to the lake, and the overland flow at lake-side zone. Relevant methods to simulate the above features were presented and a distributed hydrological model was developed in this paper for Lake Poyang watershed. The model was well calibrated and validated against the observed daily stream flows at six stations from 1991 to 2001. The results were satisfactory inthe general model predictions, with high monthly efficiencies of 0.82-0.95 for Ganjiang, Xinjiang and Raohe rivers. Accuracy of model prediction for Fuhe and Xiushui rivers was slightly lower, with efficiencies ranging from 0.65 to 0.78. The model indicated that the average volume of annual surface runoff to the lake for the simulation period was 162.3 billion m3, of which Ganjiang, Xinjiang and Fuhe rivers contributed 47%, 13% and 12%, respectively. Direct overland flow to the lake at the lake-side zone accounted for about 4%. The rest (24%) was contributed via Raohe, Xiushui rivers and several tributaries. The model successfully simulated the hydrological processes of Lake Poyang watershed, and can be used to evaluate impacts of human activities on water variability and water balance of Lake Poyang.
Key words:  Lake-watershed system  distributed runoff model  lake water balance  Lake Poyang
分享按钮