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Pages
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Posts
Blog Post number 4
Published:
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
Published:
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portfolio
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publications
SURFACE WATER AREA VARIATIONS MONITORING AND FLOOD HAZARDS USING LANDSAT IMAGE DATA IN DONGTING LAKE FROM 1988 TO 2016
Published in Fresen. Environ. Bull., 2010
Recommended citation: Zhang, X., Zhang, Q., Zhang, G., Nie, Z., Gui, Z., Que, H. Fresen. Environ. Bull. 2018, 27(9), 6168-6178.'
A Hybrid Model for Annual Runoff Time Series Forecasting Using Elman Neural Network with Ensemble Empirical Mode Decomposition
Published in Water, 2015
Recommended citation: Zhang, X., Zhang, Q., Zhang, G., Nie, Z., Gui, Z. Water. 2018, 10, 416.
A Comparison Study of Normalized Difference Water Index and Object-Oriented Classification Method in River Network Extraction from Landsat-TM Imagery
Published in 2017 2nd International Conference on Frontiers of Sensors Technologies, 2017
Recommended citation: Zhang, X., Zhang, Q., Zhang, G., Gui, Z. 2017 2nd International Conference on Frontiers of Sensors Technologies.
LANDSAT-BASED TWO DECADES LAND COVER ChANGE IN DONGTING LAKE REGION
Published in Fresen. Environ. Bull., 2018
Recommended citation: Zhang, X., Zhang, Q., Zhang, G., Gui, Z., Nie, Z. Fresen. Environ. Bull.. 2018, 27(3), 1563-1573.'
A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition
Published in Int. J. Environ. Res. Public Health, 2018
Recommended citation: Zhang, X., Zhang, Q., Zhang, G., Nie, Z., Gui, Z., Que, H. Int. J. Environ. Res. Public Health. 2018, 15, 1032.
A Novel Seed Spread Algorithm-based Approach for the Simulation of Rainstorm Water Logging in Urban Area
Published in Desalination and Water Treatment, 2018
Recommended citation: Zhang, Q., Yan, F., Shen, J., Ye, S., Ren, B., Zhang, X.. Desalin. Water. Treat. 2018, 121, 265-274.
A modified Multifractal Detrended Fluctuation Analysis (MFDFA) Approach for Multifractal Analysis of Precipitation in Dongting Lake Basin, China
Published in Water, 2019
Abstract
Multifractal detrended fluctuation analysis (MFDFA) method can examine higher-dimensional fractal and multifractal characteristics hidden in time series. However, removal of local trends in MFDFA is based on discontinuous polynomial fitting, resulting in pseudo-fluctuation errors. In this paper, we propose a two-stage modified MFDFA for multifractal analysis. First, an overlap moving window (OMW) algorithm is introduced to divide time series of the classic MFDFA method. Second, detrending by polynomial fitting local trend in traditional MFDFA is replaced by ensemble empirical mode decomposition (EEMD)-based local trends. The modified MFDFA is named OMW-EEMD-MFDFA. Then, the performance of the OMW-EEMD-MFDFA method is assessed by extensive numeric simulation experiments based on a p-model of multiplicative cascading process. The results show that the modified OMW-EEMD-MFDFA method performs better than conventional MFDFA and OMW-MFDFA methods. Lastly, the modified OMW-EEMD-MFDFA method is applied to explore multifractal characteristics and multifractal sources of daily precipitation time series data at the Mapoling and Zhijiang stations in Dongting Lake Basin. Our results showed that the scaling properties of the daily precipitation time series at the two stations presented a long-range correlation, showing a long-term persistence of the previous state. The strong q-dependence of H(q) and τ(q) indicated strong multifractal characteristics in daily precipitation time series data at the two stations. Positive Δf values demonstrate that precipitation may have a local increasing trend. Comparing the generalized Hurst exponent and the multifractal strength of the original precipitation time series data with its shuffled and surrogate time series data, we found that the multifractal characteristics of the daily precipitation time series data were caused by both long-range correlations between small and large fluctuations and broad probability density function, but the broad probability density function was dominant. This study may be of practical and scientific importance in regional precipitation forecasting, extreme precipitation regulation, and water resource management in Dongting Lake Basin.
Recommended citation: Zhang, X., Zhang, G., Qiu, L. Zhang, B., Sun, Y., Gui, Z., Zhang, Q. Water. 2018, 10, 416.
talks
A Comparison Study of Normalized Difference Water Index and Object-Oriented Classification Method in River Network Extraction from Landsat-TM Imagery
Published in Shenzhen University, Department of Computer Science, 2014
Oral Presentation of the research paper A Comparison Study of Normalized Difference Water Index and Object-Oriented Classification Method in River Network Extraction from Landsat-TM Imagery on the 2017 2nd International Conference on Frontiers of Sensors Technologies.
teaching
Teaching experience 1
Published in University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Published in University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.