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Ying Wang
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China

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Journal article
Published: 30 August 2021 in Sustainability
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The spatiotemporal features of land use changes and the evolution process of landscape pattern from 1980 to 2017 were investigated using historical satellite images from a Landsat Thematic Mapper (TM) for 1980, 1990, 2000, 2005, 2010 and 2017 in the wetlands of Lake Baiyangdian in the North China Plain (NCP). Landscape pattern indices were used to quantify landscape changes in wetlands, and a redundancy analysis (RDA) was conducted to analyze the driving forces and quantitatively explain the effects of human activities and natural changes on wetland fragmentation. The results showed that the total wetland area was 234.4 km2 in 1980 but it decreased by 8.1% at an average decrease rate of 0.5 km2 per year. The dominant transition between land use types was from natural wetlands to artificial wetlands, and wetland conversion to dry land and residential land. The RDA results suggested that agricultural activities and total population were the main driving factors affecting wetland landscape. Additionally, climate change provided a potentially favorable environment for agricultural development, due to the increased temperatures and decreased wind speeds. Additionally, governmental policy changes and dam construction also played the roles in land use changes.

ACS Style

Cuiping Zhao; Jiaguo Gong; Qinghui Zeng; Miao Yang; Ying Wang. Landscape Pattern Evolution Processes and the Driving Forces in the Wetlands of Lake Baiyangdian. Sustainability 2021, 13, 9747 .

AMA Style

Cuiping Zhao, Jiaguo Gong, Qinghui Zeng, Miao Yang, Ying Wang. Landscape Pattern Evolution Processes and the Driving Forces in the Wetlands of Lake Baiyangdian. Sustainability. 2021; 13 (17):9747.

Chicago/Turabian Style

Cuiping Zhao; Jiaguo Gong; Qinghui Zeng; Miao Yang; Ying Wang. 2021. "Landscape Pattern Evolution Processes and the Driving Forces in the Wetlands of Lake Baiyangdian." Sustainability 13, no. 17: 9747.

Journal article
Published: 21 April 2021 in International Journal of Environmental Research and Public Health
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Wetland landscape patterns are the result of various ecological and hydrological processes. Based on the land use landscape types from 1980 to 2017, a transfer matrix, landscape pattern analysis index, and principal component analysis were used to analyze the landscape pattern evolution in the Xiong’an New Area of China, which has a large area with a lake and river wetlands. The results showed that the wetland area has changed greatly since 2000 and the beach land has decreased greatly, while the area of the lake and river wetlands has increased slightly. Beach land was the dominant landscape type of the wetland. The dominant degree of the wetland landscape showed a slightly decreasing trend, and the patches tended to be scattered. The shape complexity of the ponds was the lowest, while that of rivers was the highest. The fragmentation degree of the wetland patches increased, the proportion of landscape types tended to be equalized, and the landscape heterogeneity increased. The leading factors of the wetland landscape change can be summarized as socioeconomic, meteorological, and hydrological processes, with a cumulative contribution rate of 85.3%, among which socioeconomic development was the most important factor. The results have important guiding significance for the ecological restoration and management of wetlands in the Xiong’an New Area and other wetland ecosystems with rivers and lakes.

ACS Style

Miao Yang; Jiaguo Gong; Yong Zhao; Hao Wang; Cuiping Zhao; Qin Yang; Yingshen Yin; Ying Wang; Bo Tian. Landscape Pattern Evolution Processes of Wetlands and Their Driving Factors in the Xiong’an New Area of China. International Journal of Environmental Research and Public Health 2021, 18, 4403 .

AMA Style

Miao Yang, Jiaguo Gong, Yong Zhao, Hao Wang, Cuiping Zhao, Qin Yang, Yingshen Yin, Ying Wang, Bo Tian. Landscape Pattern Evolution Processes of Wetlands and Their Driving Factors in the Xiong’an New Area of China. International Journal of Environmental Research and Public Health. 2021; 18 (9):4403.

Chicago/Turabian Style

Miao Yang; Jiaguo Gong; Yong Zhao; Hao Wang; Cuiping Zhao; Qin Yang; Yingshen Yin; Ying Wang; Bo Tian. 2021. "Landscape Pattern Evolution Processes of Wetlands and Their Driving Factors in the Xiong’an New Area of China." International Journal of Environmental Research and Public Health 18, no. 9: 4403.

Research article
Published: 23 November 2019 in Frontiers of Earth Science
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Physical models used to forecast the temporal occurrence of rainfall-induced shallow landslides are based on deterministic laws. Owing to the existing measuring technology and our knowledge of the physical laws controlling landslide initiation, model uncertainties are due to an inability to accurately quantify the model input parameters and rainfall forcing data. An uncertainty analysis of slope instability prediction provides a rationale for refining the geotechnical models. The Transient Rainfall Infiltration and Grid-based Regional Slope Stability-Probabilistic (TRIGRS-P) model adopts a probabilistic approach to compute the changes in the Factor of Safety (FS) due to rainfall infiltration. Slope Infiltration Distributed Equilibrium (SLIDE) is a simplified physical model for landslide prediction. The new code (SLIDE-P) is also modified by adopting the same probabilistic approach to allow values of the SLIDE model input parameters to be sampled randomly. This study examines the relative importance of rainfall variability and the uncertainty in the other variables that determine slope stability. The precipitation data from weather stations, China Meteorological Administration Land Assimilation System 2.0 (CLDAS2.0), China Meteorological Forcing Data set precipitation (CMFD), and China geological hazard bulletin are used to drive TRIGRS, SLIDE, TRIGRS-P and SLIDE-P models. The TRIGRS-P and SLIDE-P models are used to generate the input samples and to calculate the values of FS. The outputs of several model runs with varied input parameters and rainfall forcings are analyzed statistically. A comparison suggests that there are significant differences in the simulations of the TRIGRS-P and SLIDE-P models. Although different precipitation data sets are used, the simulation results of TRIGRS-P are more concentrated. This study can inform the potential use of numerical models to forecast the spatial and temporal occurrence of regional rainfall-induced shallow landslides.

ACS Style

Yueli Chen; Linna Zhao; Ying Wang; Qingu Jiang; Dan Qi. Precipitation data and their uncertainty as input for rainfall-induced shallow landslide models. Frontiers of Earth Science 2019, 13, 695 -704.

AMA Style

Yueli Chen, Linna Zhao, Ying Wang, Qingu Jiang, Dan Qi. Precipitation data and their uncertainty as input for rainfall-induced shallow landslide models. Frontiers of Earth Science. 2019; 13 (4):695-704.

Chicago/Turabian Style

Yueli Chen; Linna Zhao; Ying Wang; Qingu Jiang; Dan Qi. 2019. "Precipitation data and their uncertainty as input for rainfall-induced shallow landslide models." Frontiers of Earth Science 13, no. 4: 695-704.

Journal article
Published: 30 June 2018 in Water
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In recent years, land subsidence in the plain areas of Hebei Province has caused a tremendous potential safety hazard, and has seriously hindered the social and economic development of Hebei Province. Therefore, the relevant ministries and commissions of China decided to implement comprehensive treatments to restore and protect groundwater in Hebei Province from 2014. This paper evaluates the effect of the comprehensive treatments implemented at Quzhou County in 2014 and 2015. Based on socio-economic and surface and groundwater data, the study converted “electricity to water amount” to obtain the actual amount of agricultural groundwater exploitation, and then drew the effective precipitation and agricultural groundwater exploitation amount (P-W) curve. Finally, the study calculated the restriction amount of agricultural groundwater exploitation and validated the groundwater exploitation restriction effect by the variation of groundwater depth. The restriction amounts of agricultural groundwater exploitation of the projects (including water conservancy projects, agricultural projects, and forestry projects) implemented in 2014 and 2015 were 10.54 million m3 and 5.65 million m3, respectively. The target completion ratios were 79.1% in 2014 and 100.8% in 2015, respectively. The groundwater depths of the project regions and the county have restored to some extent. Therefore, this study illustrated that the comprehensive treatments have played an effective role in groundwater recovery and the restriction of groundwater exploitation has not caused the reduction of grain production. The results of this study can also provide effective references and technical supports of the comprehensive treatments of groundwater overdraft for other similar regions.

ACS Style

Ting Xu; Dengming Yan; Baisha Weng; Wuxia Bi; Pierre Do; Fang Liu; Ying Wang; Jun Ma. The Effect Evaluation of Comprehensive Treatment for Groundwater Overdraft in Quzhou County, China. Water 2018, 10, 874 .

AMA Style

Ting Xu, Dengming Yan, Baisha Weng, Wuxia Bi, Pierre Do, Fang Liu, Ying Wang, Jun Ma. The Effect Evaluation of Comprehensive Treatment for Groundwater Overdraft in Quzhou County, China. Water. 2018; 10 (7):874.

Chicago/Turabian Style

Ting Xu; Dengming Yan; Baisha Weng; Wuxia Bi; Pierre Do; Fang Liu; Ying Wang; Jun Ma. 2018. "The Effect Evaluation of Comprehensive Treatment for Groundwater Overdraft in Quzhou County, China." Water 10, no. 7: 874.