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Lu Zhuo

Researcher at University of Sheffield

Publications -  45
Citations -  655

Lu Zhuo is an academic researcher from University of Sheffield. The author has contributed to research in topics: Hydrological modelling & Water content. The author has an hindex of 12, co-authored 38 publications receiving 405 citations. Previous affiliations of Lu Zhuo include University of Bristol & Chinese Ministry of Education.

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Probabilistic thresholds for landslides warning by integrating soil moisture conditions with rainfall thresholds

TL;DR: In this article, a probabilistic threshold is proposed to integrate antecedent soil moisture conditions with rainfall thresholds, and the Bayesian analysis is applied to estimate the landslide occurrence probability given the various combinations of two factors.
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Evaluation of Remotely Sensed Soil Moisture for Landslide Hazard Assessment

TL;DR: An assessment has been carried out between the latest version of the European Space Agency Climate Change Initiative soil moisture product and the landslide events in a northern Italian region in the 14-year period 2002–2015, finding a clear correlation with the satellite soil moisture.
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Agent-based modelling and flood risk management: A compendious literature review

TL;DR: The review has shown that the potential contribution of ABM to future flood risk management lays in its practical application to decision-making in adaptation policy and strategy planning, and the limitation of ad hoc implementations of decision- making and behaviour in the ABM models that could make the application less realistic in the field.
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Appraisal of NLDAS-2 Multi-Model Simulated Soil Moistures for Hydrological Modelling

TL;DR: In this paper, a detailed evaluation of five sources of soil moisture products (NLDAS-2 multi-model simulated soil moistures: Noah, VIC, Mosaic and SAC; and a ground observation) against a widely used hydrological model Xinanjiang (XAJ) as a benchmark at a U.S. basin was carried out.
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A Scheme for Rain Gauge Network Design Based on Remotely Sensed Rainfall Measurements

TL;DR: In this paper, a new methodology for the design of a raingauge network using remotely-sensed rainfall data set is proposed, which aims to explore how many gauges are essential and where they should be placed.