首页|气候变化、土地利用/覆被变化及CO2浓度升高对滦河流域径流的影响

气候变化、土地利用/覆被变化及CO2浓度升高对滦河流域径流的影响

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在构建分布式水文模型与生物地球化学模型的耦合模型(DTVGM-CASACNP)及应用元胞自动机-马尔科夫(CA-Markov)土地利用预测模型基础上,以滦河流域为例分析气候变化、土地利用/覆被变化(LUCC)及CO2浓度升高对径流的影响.研究结果表明:DTVGM-CASACNP耦合模型以及CA-Markov模型在滦河流域均具有较好的适用性;气候变化与土地利用/植被覆盖变化对滦河流域径流的影响较CO2浓度升高的影响程度大;未来不同情景下滦河流域2020-2049年径流呈减小趋势,大部分情景下年径流较基准年减少,与非汛期相比,滦河流域未来汛期径流对不同情景更敏感,总体上在汛期径流相对基准年减少,而在非汛期径流相对基准年增加.
Effects of climate change, land use and cover change and CO2 enrichment on runoff:A case study of the Luanhe River basin
Investigating the effects of climate change,land use and cover change (LUCC) and increased CO2 concentration on catchment runoff is important for acquiring an understanding of ecohydrological processes under changing environment at a basin scale.To analyze these effects,a model is developed through coupling a hydrological model (Distributed Time Variant Gain Model; DTVGM),a global terrestrial biogeochemical model for carbon,nitrogen and phosphorus (CASACNP) and a land use Cellular Automata-Markov (CA-Markov) model.The coupled model is then applied to the Luanhe River basin of Northern China.The model performs well during both model calibration and validation processes.The calibrated model is then used to study the effects of climate change,LUCC and CO2 enrichment on runoff over the basin.Results show the effects of climate change and LUCC on runoff are stronger than that of increased CO2 concentration.The annual runoff exhibits a decreasing trend for the period 2020-2049,and shows a reduced runoff as compared to the base year for most of the scenarios.The intra-annual analysis shows a decrease in runoff during wetter months and an increase during drier months.The monthly runoff during flood seasons would be more sensitive in the future as compared to non-flooding seasons.

climate changeland use and cover changeCO2runoffLuanhe River basin

曾思栋、夏军、杜鸿、张利平、陈向东、王任超、ADITYA Sood

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武汉大学水资源与水电工程科学国家重点实验室,湖北武汉430072

水资源安全保障湖北省协同创新中心,湖北武汉430072

中国水利水电科学研究院,北京100038

水利部珠江水利委员会水文局,广东广州510611

International Water Management Institute, Sunil Mawatha, Pelawatte, Battaramulla, Colombo 10120, Sri Lanka

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气候变化 土地利用/植被覆盖变化 CO2 径流 滦河流域

国家自然科学基金资助项目国家自然科学基金资助项目

51279140 51279139

2014

水科学进展
南京水利科学研究院 水利部 交通运输部 国家能源局 中国水利学会

水科学进展

CSTPCDCSCD北大核心EI
影响因子:1.931
ISSN:1001-6791
年,卷(期):2014.25(1)
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