未来气候变化对淮河流域径流的可能影响

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高歌, 陈德亮, 徐影. 未来气候变化对淮河流域径流的可能影响[J]. 应用气象学报, 2008, 19(6): 741-748. 复制到剪切板

Gao Ge, Chen Deliang, Xu Ying. Impact of Climate Change on Runoff in the Huaihe River Basins[J]. Journal of Applied Meteorological Science, 2008, 19(6): 741-748 复制到剪切板

未来气候变化对淮河流域径流的可能影响

高歌^1,2, 陈德亮^1,2, 徐影¹

1. 国家气候中心, 北京 100081;
2. Regional Climate Group, Earth Sciences Center, Gothenburg University, Gothenburg, Sweden

2008-02-18 收到, 2008-05-28 收到修改稿.

资助项目: 科技部国际合作项目“区域气候变化的监测、模拟和影响研究”(2005DFA20940)、中意环保合作项目———中国南水北调工程 (东线) 可持续水资源综合管理研究项目 (SW IM ER-任务8) 及中国气象局气候变化专项 (CCFS2005-2-QH02) 共同资助

摘要: 采用新安江月分布式水文模型, 结合1961—2000年历史月气候资料和4个CGCMs的3个SRES排放情景下 (B1, A 2, A 1B) 未来降水和气温情景模拟结果, 对过去淮河流域的径流进行模拟检验并对未来2011—2040年的径流影响进行评估, 为水资源管理和规划提供依据。结果表明:水文模型能较好地反映年、月流量以及多年平均值和季节的变化; 年流量模拟一般好于月流量, 淮河干流主要控制水文站如王家坝、鲁台子、蚌埠的年流量模型效率系数均在80%以上; 多年平均值模拟效果好, 平均绝对相对误差为10%。多数CGCMs不同排放情景下气候模拟结果表明:未来2011—2040年, 淮河流域气候将趋于暖湿, 但年径流量将可能以减少趋势为主。这对淮河地区水资源的可持续发展以及东线调水工程水资源统一调配和管理提出了较大的挑战。淮河流域大部分区域2011—2040年月径流量减少将主要发生在1月和7—12月, 变化趋势较为确定; 4—6月, 径流量将以增加趋势为主, 不确定性较大; 2—3月, 径流具有增加趋势的地区多分布在淮河以北地区, 具有减少趋势的地区则多分布在淮河干流及以南地区和洪泽湖、平原区, 这些地区增加或减少趋势的不确定性较大。

关键词: 气候变化径流水文模型淮河流域

Impact of Climate Change on Runoff in the Huaihe River Basins

Gao Ge^1,2, Chen Deliang^1,2, Xu Ying¹

1. National Climate Center, Beijing 100081;
2. Regional Climate Group, Earth Sciences Center, Gothenburg University Gothenburg, Sweden

Abstract: The assessment about future climate change on runoff of the Huaihe River Basins in China is focused. The Xin'anjiang monthly distributed hydrological model is used to simulate the past and future runoffs. The model is run with observed monthly precipitation and air temperature during 1961—2000 and the simulated runoff is verified with the corresponding hydrological observations.The verifications show that annual and monthly runoff are simulated well and the Nash efficiency coefficients range from 60% to 80% for the monthly simulations but above 80% for annual runoff at major hydrological stations such as Wangjiaba, Lutaizi and Bengbu.For runoff average in many years, the simulation is better.The correlation coefficient between simulations and observations reaches 0.99 and the mean absolute relative error is about 10%.The verified model is then forced with future climate scenarios based on three emission ones (B1, A2 and A1B) during 2011—2040 period from four coupled atmospheric and oceanic general circulation models to simulate future changes in the runoff.In the simulated future, the climate of Huaihe River Basins will be warmer and more humid compared with the climate of the base period of 1961—1990.Future annual runoff in the periods would have decreasing trends, which poses a challenge to the sustainable development of the Huaihe River Basins and water management of the East Route in the South-north Division Project.Monthly runoff would decrease in January and from July to December with high certainty and to increase during April to June with high uncertainty in most area of the Huaihe River Basin.During February and March, the monthly runoff would increase in the north of the Basin and to decrease in the south area to the stem of the Huaihe River as well as the Hongze Lake and the plain area of lower reaches of the Huaihe River.

Key words: climate change runoff the Xin'anjiang hydrological model the Huaihe River Basins

[1]	黄荣辉, 蔡榕硕, 陈际龙, 等. 我国旱涝气候灾害的年代际变化及其与东亚气候系统变化的关系. 大气科学, 2006, 30, (5): 730–743.
[2]	陈峪, 高歌, 任国玉, 等. 中国十大流域近40多年降水量时空变化特征. 自然资源学报, 2005, 20, (5): 637–643.
[3]	任国玉. 气候变化与水资源. 北京: 气象出版社, 2007: 1-313.
[4]	张建云, 王国庆. 气候变化对水文水资源影响研究. 北京: 科学出版社, 2007.
[5]	张建云.气候异常对水资源影响评估分析模型∥课题执行专家组课题办公室编.气候异常对国民经济影响评估业务系统的研究.北京:气象出版社, 2001:91-98
[6]	郝振纯, 苏凤阁. 分布式月水文模型研究及其在淮河流域的应用. 水科学进展, 2000, 11, (增刊): 36–43.
[7]	汪美华, 谢强, 王红亚. 未来气候变化对淮河流域径流深的影响. 地理研究, 2003, 22, (1): 79–88.
[8]	陈英, 刘新仁. 淮河流域气候变化对水资源的影响. 河海大学学报, 1996, 24, (5): 111–114.
[9]	Guo S L, Wang J X, Xiong L H, et al. A macroseale and semi distributed monthly water balance model to predict climate change impacts in China. J Hydrol, 2002, 268: 1–15. DOI:10.1016/S0022-1694(02)00075-6
[10]	Program for Climate Model Diagnosis and Intercomparison webpage: http: // www-pcmdi. llnl. gov/about/index. phphttp: // www-pcmdi. link gov/llnl. gov/ipec/standard_output.html
[11]	徐影, 赵宗慈, 高学杰, 等. 南水北调东线工程流域未来气候变化预估. 气候变化研究进展, 2005, (4): 176–178.
[12]	高歌.气候变化对水资源影响模式评估业务应用研究∥课题执行专家组课题办公室编.短期气候预测系统的总装与业务化试验研究.北京:气象出版社, 2004:207-214
[13]	Gellens D, Roulin E, Streamflow response of Belgian catchments to IPCC climate change scenarios. J Hydrol, 1998, 210: 242–258. DOI:10.1016/S0022-1694(98)00192-9
[14]	邓慧平, 吴正方, 唐来华. 气候变化对水文、水资源影响研究综述. 地理学报, 1996, 51, (增刊): 161–169.
[15]	陈德亮, 高歌. 气候变化对长江流域汉江和赣江径流的影响. 湖泊科学, 2003, 15, (增刊): 105–114.


图 1. 淮河流域及气象站和水文控制站点分布图 Fig 1. The study area and locations of the meteorological and hydrological stations over the Huaihe River Basins


图 2. 1961-1987年淮河流域蚌埠站实测值与模拟值月流量对比 Fig 2. Monthly stream flow simulations in comparison to observations in Bengbu during 1961-1987


图 3. 2011-2040年降水和气温变化对淮河流域年径流变化的影响 Fig 3. Projections of annual runoff to change of precipitation and temperature under different climate scenarios during 2011-2040 in the Huaihe River Basins


图 4. 2011-2040年淮河流域各月降水量 (a) 及月平均气温 (b) 不同情景下UKMO, MRI, MPI模式平均变化幅度 (相对1961-1990年) Fig 4. Mean changs of monthly precipitation and monthly mean temperature from 2011 to 2040 averaged from the results of UNKM, MRI and MPI compared to the baseline 1961-1990 in the Huaihe River Basins


图 5. 不同CGCMs模式和排放情景下2011-2040年淮河流域各月径流可能变化范围 (相对1961-1990年) Fig 5. Possible relative variation of monthly runoff during 2011-2040 in the Huaihe River Basins (baseline is 1961-1990)


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