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Sheng Yue

Publications and source records attributed to Sheng Yue.

3 recordsLinked to original sources

Statistical interpretation of the impact of forest growth on streamflow of the Sameura basin, Japan.

A forested mountainous basin, the Sameura basin, located in Shikoku Island of Japan, experienced increased forest growth in the period from 1953 to 1994, like which occurred across the country. The impact of the forest growth on streamflow of the basin was assessed using statistical trend analysis. Annual maximum daily flow, annual minimum 5-day flow, and annual total runoff decreased by 55.8, 75.8, and 39.6%, respectively, over the period. However, the annual maximum 6-day, annual minimum 41-day, and annual total precipitation, respectively associated with annual maximum daily flow, annual minimum 5-day streamflow, and annual total runoff did not decrease. Annual and monthly temperature, which evapotranspiration positively related to, did not increase except in January. This demonstrates that the forest growth is responsible for the decrease in all these three flow regimes. The increase in evapotranspiration due to the forest growth resulted in the decrease in both total runoff and low flow. Thus, it seems that forest can hardly function to both reduce flood peaks during flood periods and increase water supply during drought periods.

Data Interpretation, Statistical↗

Detecting climate-related trends in streamflow data.

This paper reviews the results of a number of studies that have investigated streamflow data for the existence of trend. These studies provide evidence that trends in various, but not all, streamflow regimes are occurring at rates that are higher than one might attribute to chance alone. Results of different studies using different approaches were compared and were shown, at times, to have dramatic differences. These differences might potentially be due to pre-conditioning of data prior to trend detection in attempts to minimize the impacts of serial correlation on testing procedures. It was also evident that patterns of trend can vary over small spatial scales and that a relatively high-density network is required to effectively comprehend trend and how it might be altering across an area. A global network of streamflow sites representing pristine or stable conditions is needed to assess patterns of change. Selection criteria for sites within such a network are provided, and it is highlighted that local knowledge is required to perform this selection.

Climate↗