初京刚

Associate Professor   Supervisor of Master's Candidates

Gender:Male

Alma Mater:大连理工大学

Degree:Doctoral Degree

School/Department:水利工程系

E-Mail:jgchu@dlut.edu.cn


Paper Publications

Human-Induced Runoff Change in Northeast China

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Indexed by:Journal Papers

Date of Publication:2015-05-01

Journal:JOURNAL OF HYDROLOGIC ENGINEERING

Included Journals:SCIE、Scopus

Volume:20

Issue:5

ISSN No.:1084-0699

Key Words:Human-induced runoff change; Precipitation distribution; Northeast China; Soil water assessment tool model

Abstract:Human activities are known to increase interference with runoff. Conversely, human activities related to utilizing and managing water resources are primarily determined by annual runoff processes dominated by precipitation distribution. With this view, the soil and water assessment tool was used to quantify human-induced annual runoff changes at different periods and under different patterns of precipitation in seven catchments in Northeast China. The conclusions are as follows. First, although human activities have distinct regional characteristics, an increase in reduced runoff is found for the catchments under investigation; human-induced runoff changes are more significant in the catchment where water resources are limited. Second, the interannual runoff distribution is significantly disturbed in the catchment with large reservoirs. Third, human-induced runoff changes are similar under all patterns of precipitation in the catchment where annual precipitation is less than 500mm and intense human activities play a dominant role in runoff. Fourth, in general catchments, runoff changes more significantly during relatively drier years or years with uneven precipitation distribution. Finally, human-induced runoff change is related to both annual precipitation characteristics and operations of the reservoirs for catchments in which reservoirs played a significant role.

Pre One:Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction

Next One:A Heuristic Dynamically Dimensioned Search with Sensitivity Information (HDDS-S) and Application to River Basin Management