Recent changes of water discharge and sediment load in the Zhujiang (Pearl River) Basin, China

Zhang, Shurong; Lu, Xixi; Higgitt, David; Chen, Chen‐Tung Arthur; Han, Jianqiao; Sun, Huiguo

doi:10.1016/j.gloplacha.2007.04.003

Cited by 312 publications

(220 citation statements)

References 41 publications

(37 reference statements)

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“…These factors make it challenging to forecast flood events prior to the periods of runoff concentration. The region is characterized by a subtropical-to-tropical monsoon climate [18]. Mean annual rainfall over the last three decades varied between 900 and 2200 mm ( Figure 2).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Optimized WRF Precipitation Forecast over a Complex Topography Region during Flood Season

Liu

et al. 2016

Atmosphere

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Abstract:In recent years, the Weather Research and Forecast (WRF) model has been utilized to generate quantitative precipitation forecasts with higher spatial and temporal resolutions. However, factors including horizontal resolution, domain size, and the physical parameterization scheme have a strong impact on the dynamic downscaling ability of the WRF model. In this study, the influence of these factors has been analyzed in precipitation forecasting for the Xijiang Basin, southern China-a region with complex topography. The results indicate that higher horizontal resolutions always result in higher Critical Success Indexes (CSI), but higher biases as well. Meanwhile, the precipitation forecast skills are also influenced by the combination of microphysics parameterization scheme and cumulus convective parameterization scheme. On the basis of these results, an optimized configuration of the WRF model is built in which the horizontal resolution is 10 km, the microphysics parameterization is the Lin scheme, and the cumulus convective parameterization is the Betts-Miller-Janjic scheme. This configuration is then evaluated by simulating the daily weather during the 2013-2014 flood season. The high Critical Success Index scores and low biases at various thresholds and lead times confirm the high accuracy of the optimized WRF model configuration for Xijiang Basin. However, the performance of the WRF model varies from different sub-basins due to the complexity of the mesoscale convective system (MCS) over this region.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Optimized WRF Precipitation Forecast over a Complex Topography Region during Flood Season

Liu

et al. 2016

Atmosphere

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“…Only two of these methods, the Pettitt and Hubert methods,93 are described in detail here. One of the most commonly used is the 94 Pettitt test (Pettitt, 1979;Zhang et al, 2008).…”

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confidence: 99%

Comparison of statistical algorithms for detecting homogeneous river reaches along a longitudinal continuum

et al. 2012

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International audienceSeven methods designed to delineate homogeneous river segments, belonging to four families, namely -- tests of homogeneity, contrast enhancing, spatially constrained classification, and hidden Markov models -- are compared, firstly on their principles, then on a case study, and on theoretical templates. These templates contain patterns found in the case study but not considered in the standard assumptions of statistical methods, such as gradients and curvilinear structures. The influence of data resolution, noise and weak satisfaction of the assumptions underlying the methods is investigated. The control of the number of reaches obtained in order to achieve meaningful comparisons is discussed. No method is found that outperforms all the others on all trials. However, the methods with sequential algorithms (keeping at order n + 1 all breakpoints found at order n) fail more often than those running complete optimisation at any order. The Hubert-Kehagias method and Hidden Markov Models are the most successful at identifying subpatterns encapsulated within the templates. Ergodic Hidden Markov Models are, moreover, liable to exhibit transition areas

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“…The scientific framework for the analysis of land use systems have changed by the modelling tools which can addresses both spatial and temporal dynamics. It is a universal concern the changes in land use and land cover in river basins resulted in flooding events that has increased sediment loads [2][3][4][5][6]. There are some proportional alterations in the basin condition and hydrological response as a result of changes in land cover and land use scenarios.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of SWAT Model for Land Use and Land Cover Changes under different Climatic Conditions: A Review

Kiros¹,

Shetty²,

Nandagiri³

et al. 2015

Hydrol Current Res

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Recent changes of water discharge and sediment load in the Zhujiang (Pearl River) Basin, China

Cited by 312 publications

References 41 publications

Evaluation of Optimized WRF Precipitation Forecast over a Complex Topography Region during Flood Season

Evaluation of Optimized WRF Precipitation Forecast over a Complex Topography Region during Flood Season

Comparison of statistical algorithms for detecting homogeneous river reaches along a longitudinal continuum

Performance Evaluation of SWAT Model for Land Use and Land Cover Changes under different Climatic Conditions: A Review

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