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L. Gao
State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao

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Journal article
Published: 08 July 2021 in Engineering Geology
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Landslides pose threats to the safety and property of people living in mountainous areas like Hong Kong. Dependence of landslide travel distance on initial conditions and travel routes has broad implications for assessing the landslide risks. In this study, the controlling topographic and geologic factors for travel distances of open hillslope landslides and channelized debris flows are examined based on the Enhanced Natural Terrain Landslide Inventory (ENTLI) in Hong Kong with 11,622 records during the period of 1984–2013. The mean values of the horizontal travel distances of open hillslope landslides and channelized debris flows are 24.1 and 86.3 m, respectively. Correlations combining horizontal travel distances, volumes and fall heights of open hillslope landslides have been derived. The horizontal travel distances (L) and fall heights (H) are closely related for both types of landslides. The use of the L/H ratio alone as a representation of natural terrain landslide mobility is not suggested. Because of the entrainment of loose materials, the travel distances of channelized debris flows are enlarged significantly on colluvium lands (with mean value of 142.6 m), compared with those on weathered mantles (with mean value of 74.2 m).

ACS Style

L. Gao; L.M. Zhang; H.X. Chen; K. Fei; Y. Hong. Topography and geology effects on travel distances of natural terrain landslides: Evidence from a large multi-temporal landslide inventory in Hong Kong. Engineering Geology 2021, 292, 106266 .

AMA Style

L. Gao, L.M. Zhang, H.X. Chen, K. Fei, Y. Hong. Topography and geology effects on travel distances of natural terrain landslides: Evidence from a large multi-temporal landslide inventory in Hong Kong. Engineering Geology. 2021; 292 ():106266.

Chicago/Turabian Style

L. Gao; L.M. Zhang; H.X. Chen; K. Fei; Y. Hong. 2021. "Topography and geology effects on travel distances of natural terrain landslides: Evidence from a large multi-temporal landslide inventory in Hong Kong." Engineering Geology 292, no. : 106266.

Journal article
Published: 11 March 2021 in Remote Sensing
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The accuracy of the rain distribution could be enhanced by assimilating the remotely sensed and gauge-based precipitation data. In this study, a new nonparametric general regression (NGR) framework was proposed to assimilate satellite- and gauge-based rainfall data over southeast China (SEC). The assimilated rainfall data in Meiyu and Typhoon seasons, in different months, as well as during rainfall events with various rainfall intensities were evaluated to assess the performance of this proposed framework. In rainy season (Meiyu and Typhoon seasons), the proposed method obtained the estimates with smaller total absolute deviations than those of the other satellite products (i.e., 3B42RT and 3B42V7). In general, the NGR framework outperformed the original satellites generally on root-mean-square error (RMSE) and mean absolute error (MAE), especially on Nash-Sutcliffe coefficient of efficiency (NSE). At monthly scale, the performance of assimilated data by NGR was better than those of satellite-based products in most months, by exhibiting larger correlation coefficients (CC) in 6 months, smaller RMSE and MAE in at least 9 months and larger NSE in 9 months, respectively. Moreover, the estimates from NGR have been proven to perform better than the two satellite-based products with respect to the simulation of the gauge observations under different rainfall scenarios (i.e., light rain, moderate rain and heavy rain).

ACS Style

Yuanyuan Zhou; Nianxiu Qin; Qiuhong Tang; Huabin Shi; Liang Gao. Assimilation of Multi-Source Precipitation Data over Southeast China Using a Nonparametric Framework. Remote Sensing 2021, 13, 1057 .

AMA Style

Yuanyuan Zhou, Nianxiu Qin, Qiuhong Tang, Huabin Shi, Liang Gao. Assimilation of Multi-Source Precipitation Data over Southeast China Using a Nonparametric Framework. Remote Sensing. 2021; 13 (6):1057.

Chicago/Turabian Style

Yuanyuan Zhou; Nianxiu Qin; Qiuhong Tang; Huabin Shi; Liang Gao. 2021. "Assimilation of Multi-Source Precipitation Data over Southeast China Using a Nonparametric Framework." Remote Sensing 13, no. 6: 1057.

Journal article
Published: 28 February 2021 in Water
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Detecting the characteristics and variability of droughts is of crucial importance. In this study, Guizhou Province in China is selected as the target area, and the dataset there covering daily precipitation and drought records from 1960 to 2016 is adopted. The spatial and temporal differences in yearly and seasonal Dnp (the drought indicator of continuous days without available precipitation) values and longest Dnp as well as their trends are examined. Then the Dnp values and droughts are classified into different categories, and the relationships between Dnp and droughts are revealed. There was a steep increasing trend in yearly Dnp with a rate of 6 d/10a, and the Mann–Kendall (MK) value was estimated to be 5.05 in the past 56 years. The seasonal Dnp values showed significant increasing trends. Yearly and seasonal Dnp varied significantly in the space domain. There were slight increases in yearly and four seasonal longest Dnp values in the time domain. Although the increases in the spring and summer were not significant, heavy droughts tended to occur at this time. As to the Dnp values corresponding to different levels of droughts, there was only a decrease in mild drought, while there were significant increases in mild, moderate, and heavy droughts. The mild droughts increased significantly in summer, and the moderate droughts increased significantly in spring. Different levels of Dnp also varied in the spatial domain. The elevation effect is not obvious in Guizhou province.

ACS Style

N.X. Qin; J.N. Wang; Y. Hong; Q.Q. Lu; J.L. Huang; M.H. Liu; L. Gao. The Drought Variability Based on Continuous Days without Available Precipitation in Guizhou Province, Southwest China. Water 2021, 13, 660 .

AMA Style

N.X. Qin, J.N. Wang, Y. Hong, Q.Q. Lu, J.L. Huang, M.H. Liu, L. Gao. The Drought Variability Based on Continuous Days without Available Precipitation in Guizhou Province, Southwest China. Water. 2021; 13 (5):660.

Chicago/Turabian Style

N.X. Qin; J.N. Wang; Y. Hong; Q.Q. Lu; J.L. Huang; M.H. Liu; L. Gao. 2021. "The Drought Variability Based on Continuous Days without Available Precipitation in Guizhou Province, Southwest China." Water 13, no. 5: 660.

Research article
Published: 13 October 2020 in International Journal of Climatology
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In a changing climate, drought and flood hazards become more frequent, posing high risks to human life and property. The Guangxi Zhuang Autonomous Region is selected as the study area. The flood and drought records, and the daily precipitation data at 23 stations from 1958 to 2016 are adopted. The temporal and spatial trends of precipitation intensities, precipitation days and the corresponding proportions relative to the total amounts are examined using the Mann‐Kendall trend test. The influence of the rainfall intensity on floods and droughts in Guangxi is also investigated. During the past 59 years in Guangxi, there is a significant decrease in light rain, and an increase in rainstorm in general. The larger the rainfall intensity is, the more stations show increasing trends of the corresponding rain events on different time scales (the monthly, seasonal or annual scale). Significant decreasing trends of the number of days with light precipitation are found over entire Guangxi, while increasing trends of the number of days with rainstorm events are widely distributed in most parts of Guangxi. There is a decrease in the number of stations indicating increases in proportion of light precipitation days, while an increase in the number of stations showing increases in proportion of rainstorm days. A significant increase in flood hazards is detected since the 1990s. The precipitation in Guangxi tends to be intensified in the future. The frequency and intensity of drought and flood events are very likely to increase, posing challenges to future agricultural production, water resources planning and management.

ACS Style

Nian Xiu Qin; Jun Neng Wang; Liang Gao; Yang Hong; Jia Li Huang; Qin Qin Lu. Observed trends of different rainfall intensities and the associated spatiotemporal variations during 1958–2016 in Guangxi , China. International Journal of Climatology 2020, 41, 1 .

AMA Style

Nian Xiu Qin, Jun Neng Wang, Liang Gao, Yang Hong, Jia Li Huang, Qin Qin Lu. Observed trends of different rainfall intensities and the associated spatiotemporal variations during 1958–2016 in Guangxi , China. International Journal of Climatology. 2020; 41 (S1):1.

Chicago/Turabian Style

Nian Xiu Qin; Jun Neng Wang; Liang Gao; Yang Hong; Jia Li Huang; Qin Qin Lu. 2020. "Observed trends of different rainfall intensities and the associated spatiotemporal variations during 1958–2016 in Guangxi , China." International Journal of Climatology 41, no. S1: 1.

Article
Published: 09 May 2019 in Water Resources Management
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The assessment of flash flood risks is the basis on which flash flood prevention measures and early-warning systems can be proposed and reasonably implemented. However, inadequate monitoring of flash flood data which mainly occurs in remote areas restricts quantitative risk assessment. This study aimed to address the problems of limited data availability. A new model that integrating the Cloud-based Information Diffusion (CID) model and Analytic Hierarchy Process (AHP) approach is developed to assess flash flood risks. The proposed method improves the information diffusion function by introducing cloud model, while converting single-valued observations with incomplete information into fuzzy set-valued samples. The new approach can perform comprehensive risk assessment tasks with various indexes that are composed of incomplete information. Another advantage of this approach is that it can illustrate fuzzy uncertainty, fuzziness, and randomness of risk indexes by coupling with the cloud model, the risk magnitude is quantified with membership degree. A mountainous watershed in Southern China named Yangshan County was selected as the study area. Compared with information diffusion (ID) and entropy-based information diffusion (EID), the assessment results of the three models are, in general, consistent with one another, and agree with the reported values. According to the principle of maximum membership degree, Yangshan County is determined as a high-risk region when confronting with flash flood hazards. This model provides a feasible and effective method on fuzzy risk assessment of flash flooding, and is expected to be applied in other multi-criteria decision with limited available information or small sample problems.

ACS Style

Ming Zhong; Jiao Wang; Liang Gao; Kairong Lin; Yang Hong. Fuzzy Risk Assessment of Flash Floods Using a Cloud-Based Information Diffusion Approach. Water Resources Management 2019, 33, 2537 -2553.

AMA Style

Ming Zhong, Jiao Wang, Liang Gao, Kairong Lin, Yang Hong. Fuzzy Risk Assessment of Flash Floods Using a Cloud-Based Information Diffusion Approach. Water Resources Management. 2019; 33 (7):2537-2553.

Chicago/Turabian Style

Ming Zhong; Jiao Wang; Liang Gao; Kairong Lin; Yang Hong. 2019. "Fuzzy Risk Assessment of Flash Floods Using a Cloud-Based Information Diffusion Approach." Water Resources Management 33, no. 7: 2537-2553.