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生态相关水文指标的优选及其演变归因分析
The health of a river ecosystem is the foundation of the sustainable development of a basin, while the natural variability of the hydrological regime is a key factor for maintaining and protecting the ecological health of a river. Therefore, variation attribution of the hydrological regime in the changing environment becomes more important. In this study, the Laohahe basin was selected as a case study area and its hydro-meteorological data during 1964-2016 were collected to achieve the study aim. Firstly, the study period was divided according to the trend and change points test results of Mann-Kendall, Pettitt and precipitation-streamflow double cumulative curve method. Then, the natural streamflow series was reconstructed using the Variable Infiltration Capacity (VIC) model. After that, the principal component analysis (PCA) was used to select the most ecologically relevant hydrological indicators (ERHIs). Then the degree of the change of the hydrological indicators was evaluated by the range of variability approach. Finally, the ' simulated-observed' comparison method was adapted to quantify the impacts of climate change and human activities on the variations of streamflow and ERHIs. The results showed that the annual streamflow series of the basin had a significant downward trend (α < 0.05) and its change points appeared in 1979 and 1999, respectively. Then the whole study period could be divided into base period, changed period I and II based on the above two change points. Then, 7 ERHIs were selected, including February flow, June flow, annual maximum 7-day flow, Julian day of each annual 1-day minimum, number of low pulse each year, mean duration of high pulse within each year, and rise rate. The 6 ERHIs, February flow, June flow, annual maximum 7-day flow, number of low pulse each year, mean duration of high pulse within each year, and rise rate, had a downward trend. While the Julian day of each annual 1-day minimum showed a slight upward trend. Also, the comprehensive degree of change of the 7 ERHIs ...
- Hong Kong Polytechnic University China (People's Republic of)
- Hong Kong University of Science and Technology (香港科技大學) China (People's Republic of)
- Hong Kong University of Science and Technology Hong Kong
- Hong Kong University of Science and Technology (香港科技大學) China (People's Republic of)
Human activity, Principal component analysis (PCA), 气候变化, Climate change, 主成分分析, 人类活动, 演变归因, Indicators of hydrological alteration (IHA), 水文改变指标, Variation attribution, 333
Human activity, Principal component analysis (PCA), 气候变化, Climate change, 主成分分析, 人类活动, 演变归因, Indicators of hydrological alteration (IHA), 水文改变指标, Variation attribution, 333
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
