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Lu Zhang

Researcher at Commonwealth Scientific and Industrial Research Organisation

Publications -  223
Citations -  19147

Lu Zhang is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Evapotranspiration & Streamflow. The author has an hindex of 65, co-authored 210 publications receiving 15957 citations. Previous affiliations of Lu Zhang include Beijing Normal University & Cooperative Research Centre.

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Assessing the impact of climate variability and human activities on streamflow from the Wuding River basin in China

TL;DR: In this paper, a nonparametric Mann-Kendall-Sneyers rank test was employed to detect trends and changes in annual streamflow for the period of 1961 to 1997.
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Vegetation control on water and energy balance within the Budyko framework

TL;DR: In this article, a simple parameterization for the Budyko curve parameter based solely on remotely sensed vegetation information is proposed, which improves predictions of annual actual evapotranspiration by reducing the root mean square error (RMSE) from 76 mm to 47 mm.
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Improving water use efficiency of irrigated crops in the North China Plain : measurements and modelling

TL;DR: In this paper, the authors examined the relationship between irrigation, evapotranspiration (ET), crop growth and water use efficiency (WUE) of a corn-wheat rotation common in the region.
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Developing a decision support tool for China's re-vegetation program: Simulating regional impacts of afforestation on average annual streamflow in the Loess Plateau

TL;DR: In this article, a decision support tool called ReVegetation Impacts on Hydrology (ReVegIH) has been developed to increase the awareness of the hydrologylanduse change implications in the region, which provides a means for users to determine where priority (and target) re-vegetation activities should be undertaken; ascertain what species are suitable for a specific location; and simulate the related hydrological impact on an average annual basis.
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Estimating the sensitivity of mean annual runoff to climate change using selected hydrological models

TL;DR: In this paper, the authors measured the hydrological sensitivity, measured as the percentage change in mean annual runoff, of two lumped parameter rainfall-runoff models, SIMHYD and AWBM and an empirical model, Zhang01, to changes in rainfall and potential evaporation.