个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 副校长、党委常委
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:建设工程学院
学科:水文学及水资源. 人工智能. 计算机应用技术. 软件工程
办公地点:综合实验4号楼 411室
联系方式:0411-84708900
电子邮箱:czhang@dlut.edu.cn
Impact of human activities on stream flow in the Biliu River basin, China
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论文类型:期刊论文
发表时间:2013-08-15
发表刊物:HYDROLOGICAL PROCESSES
收录刊物:SCIE、EI、Scopus
卷号:27
期号:17
页面范围:2509-2523
ISSN号:0885-6087
关键字:impact of human activities; SWAT model; land use change; climate scenarios
摘要:The obvious decline in stream flow to the Biliu River reservoir over the period 1990-2005 has raised increasing concerns. Climate change and human activities, which mainly include land use changes, hydraulic constructions and artificial water consumption, are considered to be the most likely reasons for the decline in stream flow. This study centres on a detailed analysis of the runoff response to changes in human activities. Using a distributed hydrological model, (Soil and Water Assessment Tool), we simulated runoffs under different human activity and climate scenarios to understand how each scenario impacts stream flow. The results show that artificial water consumption correlates with the precipitation (wet, normal and dry) of the year in question and is responsible for most of the decrease in runoff during each period and for each different wetness year. A Fuzzy Inference Model is also used to find the relationship between the precipitation and artificial water consumption for different years, as well as to make inferences regarding the future average impact on runoff. Land use changes in the past have increased the runoff by only a small amount, while another middle reservoir (Yunshi) has been responsible for a decrease in runoff since operation began in 2001. We generalized the characteristics of the human activities to predict future runoff using climate change scenarios. The future annual flow will increase by approximately 10% from 2011 to 2030 under normal human activities and future climate change scenarios, as indicated by climate scenarios with a particularly wet year in the next 20years. This study could serve as a framework to analyse and predict the potential impacts of changes both in the climate and human activities on runoff, which can be used to inform the decision making on the river basin planning and management. Copyright (c) 2012 John Wiley & Sons, Ltd.