典型山地蒸散发时空变化模拟研究

doi:10.18402/resci.2017.02.10

资源科学 ›› 2017, Vol. 39 ›› Issue (2): 276-287.doi: 10.18402/resci.2017.02.10

典型山地蒸散发时空变化模拟研究

王飞宇^1,²(), 占车生¹(), 胡实¹, 贾仰文³, 牛存稳³, 邹靖^4,⁵

1. 中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室,北京 100101
2. 中国科学院大学,北京 100049
3. 中国水利水电科学研究院流域水循环模拟与调控国家重点实验室, 北京100038
4. 山东省海洋环境监测技术重点实验室,青岛 266001
5. 山东省科学院海洋仪器仪表研究所,青岛 266001

收稿日期:2016-01-08 修回日期:2016-08-30 出版日期:2017-02-25 发布日期:2017-02-20
作者简介:
作者简介：王飞宇, 女,陕西西安人,硕士生,主要从事流域水循环模拟研究。E-mail：wangfy.14s@igsnrr.ac.cn
基金资助:
国家重点基础研究发展计划（2015CB452701）;国家自然科学基金项目（41571019,51209224）

Simulation of spatio-temporal changes in evapotranspiration in typical mountains

Feiyu WANG^1,²(), Chesheng ZHAN¹(), Shi HU¹, Yangwen JIA³, Cunwen NIU³, Jing ZOU^4,⁵

1. Key Laboratory of Water Cycle and Related Land Surface Processes,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China
2. University of Chinese Academy of Sciences,Beijing 100049,China
3. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin,China Institute of Water Resources and Hydropower Research,Beijing 100038,China
4. Shandong Provincial Key Laboratory of Ocean Environment Monitoring Technology,Qingdao 266001,China
5. Shandong Academy of Sciences Institute of Oceanographic Instrumentation,Qingdao 266001,China

Received:2016-01-08 Revised:2016-08-30 Online:2017-02-25 Published:2017-02-20

摘要/Abstract

摘要：

基于考虑了水资源开采利用方案和农作物生长的新型陆面模式CLM_CERES,利用CMIP5多模式集合数据集驱动该模式,使用基于全球通量观测网络（FLUXNET）的地表蒸散发估算数据（“MTE”数据）对模拟结果进行验证,系统分析了中国典型山地（太行山地、横断山地、黔桂喀斯特山地）基准期（1951-2005年）和预估期（2006-2060年）蒸散量时空变化。结果显示：三个区域CLM_CERES模拟蒸散量与MTE数据在月尺度上均具有较好的相关性,相关性均在0.76~0.88之间。1951-2060年太行山地和横断山地总蒸散量呈显著增加趋势,增幅分别为0.9806和0.7569mm/a（P<0.001）,以植被蒸散为主,黔桂喀斯特山地总蒸散量无显著增加趋势,以土壤蒸发为主;三个区域蒸散量的季节变化均呈现单峰曲线,峰值位于5-9月。太行山地和横断山地蒸散量的空间分布主要受气候和地形影响,黔桂喀斯特山地受其特殊的地表、地下水二元结构影响,对蒸散量的响应机制相对复杂。

关键词: 蒸散发, 时空变化, CLM, CERES, 太行山地, 横断山地, 黔桂喀斯特山地

Abstract:

Based on a new land surface model CLM_CERES,spatio-temporal changes in evapotranspiration（ET）in three typical mountains of China （Taihang Mountain,Hengduan Mountain,and Qiangui Karst Mountain） in baseline of 1951-2005 and estimation period of 2006-2060 were simulated. The CLM_CERES model was constructed by considering the scheme of water exploitation and utilization,and coupled with the crop growth and development model CERES. This new land surface model was driven by the atmosphere external forcing data of multi-model ensemble data of CMIP5. The simulated results were validated with a data-driven estimate of global land evapotranspiration （MTE data）derived from observations from a global network of micrometeorological tower sites（FLUXNET）. The results showed that ET simulated by CLM_CERES was consistent with the MTE data among all three regions at a monthly scale （R²= 0.76~0.88）. From 1951 to 2060,the total ET increased significantly with linear trends of 0.981 and 0.757 mm/a （P < 0.001）over Taihang Mountain and Hengduan Mountain,of which vegetation ET dominated. However,the total ET increased insignificantly over Qiangui Karst Mountain,of which soil evaporation dominated. Intra-annual variation of ET in all three regions from 1951 to 2060 showed unimodal curves with a peak region from May to September. The spatial distribution of ET was mainly influenced by climate change and topographic factors over Taihang Mountain and Hengduan Mountain. The spatial distribution of ET over Qiangui Karst Mountain was more complex due to the particularity of dualistic structure between surface and ground water.

Key words: evapotranspiration, spatio-temporal change, CLM, CERES, Taihang Mountain, Hengduan Mountain, Qiangui Karst Mountain

王飞宇, 占车生, 胡实, 贾仰文, 牛存稳, 邹靖. 典型山地蒸散发时空变化模拟研究[J]. 资源科学, 2017, 39(2): 276-287.

Feiyu WANG, Chesheng ZHAN, Shi HU, Yangwen JIA, Cunwen NIU, Jing ZOU. Simulation of spatio-temporal changes in evapotranspiration in typical mountains[J]. Resources Science, 2017, 39(2): 276-287.

图/表 7

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区域	1951-2005年	2006-2060年	1951-2060年
太行山地	0.188	0.713*	0.981***
横断山地	0.229	0.774***	0.757***
黔桂喀斯特山地	-0.107	0.086	0.190

典型山地蒸散发时空变化模拟研究

Simulation of spatio-temporal changes in evapotranspiration in typical mountains

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