Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

生态相关水文指标的优选及其演变归因分析

生态相关水文指标的优选及其演变归因分析

Abstract

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 ...

Country
China (People's Republic of)
Keywords

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

  • BIP!
    Impact byBIP!
    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
Powered by OpenAIRE graph
Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average