Runoff Trend Analysis and Distributed Hourly Model Application Study of the Upper Reaches of Yangtze River

doi:10.3969/j.issn.1674-0696.2011.02.26

Journal of Chongqing Jiaotong University(Natural Science) ›› 2011, Vol. 30 ›› Issue (2): 291-294.DOI: 10.3969/j.issn.1674-0696.2011.02.26

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Runoff Trend Analysis and Distributed Hourly Model Application Study of the Upper Reaches of Yangtze River

HOU Baojian¹, WANG Miaolin¹, ²

1.School of River&Ocean Engineeing, Chongqing Jiaotong University, Chongqing 400074, China;2.Bureau of Hydrology&Water Resources Survey of the Upper Yangtze,Bureau of Hydrology,Changjiang Water Resources Commission, Chongqing 400014, China

Received:2010-12-06 Revised:2011-01-06 Online:2011-04-15 Published:2015-03-12

长江上游径流趋势分析及分布式小时模型应用

侯保俭¹，王渺林¹，²

1.重庆交通大学河海学院，重庆400074; 2.长江上游水文水资源勘测局，重庆400014

作者简介:侯保险(1985 — )，男，河南开封人，硕士研究生，主要从事流域水文模拟及3S技术研究。E-mail:houjunhao2008@yahoo.com.cn。

Abstract

Abstract: Kendall correlated method was employed to analyze the variations o f runoff of the upper Yangtze River based on the data collected by six major stations a long them a in stream. The results indicated runoff of some stations decreased differently while the Jinsha River and Wujiang River were exceptional; runoff of Jialing River, Minjiang River and Tuojiang River decreased greatly and that o f Cuntan Station decreased a little. Distributed hourly water balance model was established based on GIS and DEM and its application in Cuntan Station in 1981 showed accuracy with efficiency coefficient 0.982, relevant cofficient 0.955 and water amount balance coefficient 1.001.The average value of efficiency coefficient was above 0.85; the error of water balance was within 5%; there was little difference between runoff by simulation and that by survey.

Key words: The upper Yangtze River, Kendall correlated method, runoff change, distributed hourly water balance model;simulation of runoff

摘要： 以长江上游流域6个主要控制测站实测数据为研究基础,利用Kendall秩次相关法对长江上游流域径流变化趋势进行分析。结果表明:除金沙江屏山站全年和乌江武隆站汛期径流略有增加外,其它测站控制流域内径流均有不同程度减少,其中嘉陵江北碚站、岷江高场站和沱江富顺站径流均显著减少,长江上游干流控制站寸滩站径流则微弱减少。结合GIS和DEM建立分布式小时水量平衡模型,将模型应用寸滩站1981年特大洪水过程进行模拟, 模拟结果表明模型精度较高,效率系数0.982,相关系数0.955,水量平衡系数1.001,其它年份模拟效率系数均在 0.85以上,水量平衡误差均在5%以内,实测流量与模拟流量吻合较好。

关键词: 长江上游, Kendall秩次相关法, 径流变化, 分布式小时模型, 径流模拟

CLC Number:

TV121

HOU Baojian, WANG Miaolin. Runoff Trend Analysis and Distributed Hourly Model Application Study of the Upper Reaches of Yangtze River[J]. Journal of Chongqing Jiaotong University(Natural Science), 2011, 30(2): 291-294.

侯保俭，王渺林，. 长江上游径流趋势分析及分布式小时模型应用[J]. 重庆交通大学学报（自然科学版）, 2011, 30(2): 291-294.

References

[1]王艳君, 姜彤, 施雅风.长江上游流域1961?? 2000 年气候及径流变化趋势[J] .冰川冻土, 2005, 27(5 ): 709-714.
WANG Yan-jun, JIANG Tong, SHI Ya-feng.Changing trends of climate and run of over the upper reaches of the Yangtze River from 1961 to 2000[J] .Journal of Glaciology and Geocryology, 2005, 27(5) : 709-714.
[2]王渺林.长江上游流域径流变化[J] .水土保持研究, 2007, 14 (5) : 110-112.
WANG Miao-lin.Runoff changes in the upper reaches of the Yangtze River[J] .Research of Soil and Water Conservation, 2007, 14(5) : 110-112.
[3]李林, 王振宇, 秦宁生, 等.长江上游径流量变化及其与影响因子关系分析[J] .自然资源学报, 2004, 19(6 ): 694-700.
LI Lin, WANG Zhen-yu, QIN Ning-sheng, et a1.Analysis of the relation ship between run of amount and its impacting factor in the upper Yangtze River[J ].Journal of Natural Resources, 2004, 19 (6 ): 694-700.
[4]夏军, 王渺林.长江上游流域径流变化与分布式水文模拟[J ]. 资源科学, 2008, 30(7 ): 962-967.
XIA Jun, WANG Miao-lin.Run of changes and distributed hydrologic simulation in the upper reaches of Yangtze River[J ]. Resources Science, 2008, 30(7) : 962-967.
[5]王渺林, 侯保俭.长江上游流域人类活动对径流影响初步分析 [J] .河海大学学报: 自然科学版, 2010, 83(2) : 13-16.
WANG Miao-lin, HOU Bao-jian.The upper Yangtze river bas in run off affect human activities on the preliminary an alysis[J ]. Journal of Hehai Univers ity, 2010, 83(2) : 13-16.
[6]许继军, 杨大文, 刘志雨, 等.长江上游大尺度分布式水文模型的构建及应用[J] .水利学报, 2007, 83(2) : 182-190.
XU J i-jun, YANG Da-wen, LIU Zhi-yu.Large scaledistributed hydro logical m odel and its application to the ups tream of Yangtze R iver[J] .ShuiliXuebao, 2007, 83(2) : 182-190.
[7]叶爱中, 夏军, 王纲胜, 等.基于数字高程模型的河网提取及子流域生[J] .水利学报, 2005, 36(5) : 1-9.
YE A i-zhong, XIA Jun, WANG Gang-sheng.Drainage net work extraction and subcatchment delineation based on digitalele vation model[J].ShuiliXuebao, 2005, 36(5 ): 1-9.
[8]王渺林, 郭生练.基于月水量平衡模型的黄河中游径流变化分析[J] .西北水资源与水工程, 1999(2) : 1-6.
WANG Miao-lin, GUO Sheng-lian.Based on the water balance model the middle reaches of the Yellow River runoff analysis[J ]. Northwest Water Resources and Water Engineering, 1999(2 ): 1-6.
[9]XIA Jun.Realtime rain fall runoff forecasting by time variant gain models and updating approaches[C]//Research Report of the 6th International Work shop on River Flow Forecasting.Ireland: UCG, 1995.
[10] 王纲胜, 夏军, 谈戈, 等.潮河流域时变增益分布式水循环模型研究[J].地理科学进展, 2002, 21(6) : 573-582.
WANG Gang-sheng, XIA Jun, TAN Ge, et al .A research on distributed time variant gain model: a case study on chaohe river basin[J] .Progress in Geography, 2002, 21(6 ): 573-582.
[11] XIA Jun, WANG Gang-sheng, TAN Ge, et a.l Development of distributed time variant gain model for nonlinear hydrological systems [J] .Science in China Series D : Earth Sciences, 2005, 48(6 ): 713-723.
[12] 王渺林, 傅华, 高攀宇.地球信息科学方法在分布式水文模型中的应用研究综述[J] .重庆交通大学学报: 自然科学版, 2006, 25(2) : 134-153.
WANG Miao-lin, FU Hua, GAO Pan-yu.Research review on the appl ications of geo-information sciencein the distributed hydrolog icalmode[J] .Journal of Chongqing Jiaotong University, 2006, 25(2) : 134-153.

Runoff Trend Analysis and Distributed Hourly Model Application Study of the Upper Reaches of Yangtze River

长江上游径流趋势分析及分布式小时模型应用

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