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Identifying the spatiotemporal characteristics of individual red bed landslides: a case study in Western Yunnan, China

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Journal of Mountain Science 2022年第6期19卷 1748-1766页

作者： ZHAO Xin LI Guo ZHAO Zhi-fang LI Chun-xiao CHEN Qi YE Xian Institute of International Rivers and Eco-Security Yunnan UniversityKunming 650050China Broadvision Engineering Consultants Co. Ltd.Kunming 650031China Yunnan Key Laboratory of Digital Communications Kunming 650000China School of Earth Sciences Yunnan UniversityKunming 650050China Research Center of Domestic High-resolution Satellite Remote Sensing Geological Engineering Kunming 650500China MNR Key Laboratory ofSanjiang Metallogeny and Resources Exploration&Utilization Kunming 650051China

Strata in red bed areas have typical characteristics of soft-hard interbedding and high sensitivity to water. Under the comprehensive action of internal stratigraphic structure and external hydrological factors, red bed landslides have highly complex spatiotemporal characteristics, presenting significant challenges to the prevention and control of landslide disasters in red bed areas, especially for slope and tunnel engineering projects. In this study, we applied an interdisciplinary approach combining small baseline subset interferometric synthetic aperture radar(SBAS-InSAR), deep displacement monitoring, and engineering geological surveying to identify the deformation mechanisms and spatiotemporal characteristics of the Abi landslide, an individual landslide that occurred in the red bed area of Western Yunnan, China. Surface deformation time series indicated that a basic deformation range developed by March 2020. Based on In SAR results and engineering geological analysis, the landslide surface could be divided into three zones: an upper sliding zone(US), a lower uplifted zone(LU), and a toe zone(Toe). LU was affected by the structure of the sliding bed with variable inclination. Using deep displacement curves combined with the geological profile, a set of sliding surfaces were identified between different lithology. The groundwater level standardization index(GLSI) and deformation normalization index(DNI) showed different quadratic relationships between US and LU. Verification using the Pearson correlation analysis shows that the correlation coefficients between model calculated results and measured data are 0.7933 and 0.7577, respectively, indicating that the DNI-GLSI models are applicable. A fast and short-lived deformation sub stage(ID-Fast) in the initial deformation stage was observed, and ID-Fast was driven by concentrated rainfall.

关键词： Red bed landslide spatiotemporal characteristic SBAS-InSAR Deep displacement monitoring Engineering geological survey Western Yunnan

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spatiotemporal characteristics of GNSS-derived precipitable water vapor during heavy rainfall events in Guilin,China

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Satellite Navigation 2021年第1期2卷 175-191页

作者： Liangke Huang Zhixiang Mo Shaofeng Xie Lilong Liu Chuanli Kang Shitai Wang College of Geomatics and Geoinformation Guilin University of TechnologyGuilin 541004China Guangxi Key Laboratory of Spatial Information and Geomatics Guilin 541004China.3 School of Geodesy and GeomaticsWuhan UniversityWuhan 430079China.

Precipitable Water Vapor(PWV),as an important indicator of atmospheric water vapor,can be derived from Global Navigation Satellite System(GNSS)observations with the advantages of high precision and all-weather capacity.GNSS-derived PWV with a high spatiotemporal resolution has become an important source of observations in mete-orology,particularly for severe weather conditions,for water vapor is not well sampled in the current meteorological observing systems.In this study,an empirical atmospheric weighted mean temperature(Tm)model for Guilin is estab-lished using the radiosonde data from 2012 to 2017.Then,the observations at 11 GNSS stations in Guilin are used to investigate the spatiotemporal features of GNSS-derived PWV under the heavy rainfalls from June to July 2017.The results show that the new Tm model in Guilin has better performance with the mean bias and Root Mean Square(RMS)of−0.51 and 2.12 K,respectively,compared with other widely used models.Moreover,the GNSS PWV estimates are validated with the data at Guilin radiosonde station.Good agreements are found between GNSS-derived PWV and radiosonde-derived PWV with the mean bias and RMS of−0.9 and 3.53 mm,respectively.Finally,an investigation on the spatiotemporal characteristics of GNSS PWV during heavy rainfalls in Guilin is performed.It is shown that variations of PWV retrieved from GNSS have a direct relationship with the in situ rainfall measurements,and the PWV increases sharply before the arrival of a heavy rainfall and decreases to a stable state after the cease of the rainfall.It also reveals the moisture variation in several regions of Guilin during a heavy rainfall,which is significant for the moni-toring of rainfalls and weather forecast.

关键词： GNSS Precipitable water vapor Heavy rainfall spatiotemporal characteristic Atmospheric weighted mean temperature

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spatiotemporal characteristics and water budget of water cycle elements in different seasons in northeast China

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Chinese Physics B 2015年第4期24卷 563-570页

作者：周杰赵俊虎何文平龚志强 Department of Physical Science and Technology Yangzhou University Laboratory for Climate Studies National Climate Center China Meteorological Administration

In this paper, we study the spatiotemporal characteristics of precipitable water, precipitation, evaporation, and watervapor flux divergence in different seasons over northeast China and the water balance of that area. The data used in this paper is provided by the European Center for Medium-Range Weather Forecasts （ECMWF）. The results show that the spatial distributions of precipitable water, precipitation, and evaporation feature that the values of elements above in the southeastern area are larger than those in the northwestern area; in summer, much precipitation and evaporation occur in the Changbai Mountain region as a strong moisture convergence region; in spring and autumn, moisture divergence dominates the northeast of China; in winter, the moisture divergence and convergence are weak in this area. From 1979 to 2010, the total precipitation of summer and autumn in northeast China decreased significantly; especially from 1999 to 2010, the summer precipitation always demonstrated negative anomaly. Additionally, other elements in different seasons changed in a truly imperceptible way. In spring, the evaporation exceeded the precipitation in northeast China; in summer, the precipitation was more prominent; in autumn and winter, precipitation played a more dominating role than the evaporation in the northern part of northeast China, while the evaporation exceeded the precipitation in the southern part. The Interim ECMWF Re-Analysis （ERA-Interim） data have properly described the water balance of different seasons in northeast China. Based on ERA-Interim data, the moisture sinks computed through moisture convergence and moisture local variation are quite consistent with those computed through precipitation and evaporation, which proves that ERA- Interim data can be used in the research of water balance in northeast China. On a seasonal scale, the moisture convergence has a greater influence than the local moisture variation on a moisture sink, and the latter is variable slightly, generally as a constant. Likewi

关键词： ERA-Interim data water cycle moisture budget spatiotemporal characteristic

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Quantifying the spatiotemporal characteristics of ecosystem services and livelihoods in China’s poverty-stricken counties

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Frontiers of Earth Science 2021年第3期15卷 553-579页

作者： Lilei ZHOU Dongjie GUAN Xingzhong YUAN Mengjie ZHANG Weijun GAO Faculty of Architecture and Urban planning Chongqing UniversityChongqing 400030China Key Lab of Three Gorges Reservoir Region Eco-Environment(Ministry of Education) Chongqing UniversityChongqing 400030China Faculty of Environmental Engineering University of KitakyushuKitakyushu 808-0135Japan College of Architecture and Urban Planning Chongqing Jiaotong UniversityChongqing 400074China

Understanding the coupling relationship between ecosystem services and poverty livelihoods is a prerequisite for poverty eradication and ecological protection in China.In this paper,we intended to quantify the coupling relationship between ecosystem services and poverty livelihoods in 717 poverty-stricken counties in China.First,we identified distinct levels of ecosystem services and poverty respectively in the poverty-stricken areas based on the ecosystem services subsystem index and poverty livelihoods subsystem index.Then,we calculated the coupling degree and coupling coordination degree between the ecosystem services and the poverty livelihoods in China^poverty-stricken counties from 2000 to 2015.Finally,we analyzed the temporal and spatial evolution of the coupling between ecosystem services and poverty livelihoods.The results indicate that the ecosystem services showed a trend of first decreasing and then increasing,while the poverty level showed an increased trend.In addition,the coupling relationship between ecosystem services and poverty livelihoods in poverty-stricken counties was also improved from 2000 to 2015.However,the coupling degree value or coupling coordination degree values in some counties or contiguous impoverished areas showed a decreased trend,the coupling relationship between ecosystem services and poverty livelihoods in those counties or areas was higher conflict.Future more,the coupling relationship in China's poverty-stricken counties was mainly intermediate conflict and low conflict,which need to improve in the future.Thus,it is suggested that effective measures are required to lift ecosystem services out of the poverty trap and into sustainable livelihoods.

关键词： ecosystem services poverty livelihoods coupling degree coupling coordination degree coupling relationship spatiotemporal characteristic

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Land cover change and multiple remotely sensed datasets consistency in China

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Ecosystem Health and Sustainability 2022年第1期8卷 35-49页

作者： Hui Wang Liping Cai Xiaojin Wen Donglin Fan Yuejun Wang School of Geography and Tourism Qufu Normal UniversityRizhaoShandongChina School of Ecology Resources and EnvironmentDezhou UniversityDezhouShandongChina Department of Ecology and Resources Engineering Hetao CollegeBayannurInner MongoliaChina

Introduction:Although numerous land cover datasets can act as references for understanding land cover change in China,the inconsistencies between the datasets can also provide understanding.Previous studies on the consistency between land cover datasets have mostly focused on land cover type consistencies and have ignored data consistencies in land cover change.Outcomes:Therefore,we aim to analyse the consistencies in land cover changes through likelihood assessment methods.We compared the spatiotemporal changes in forest,grassland,cropland,and bare land in the Climate Change Initiative land cover dataset(CCI-LC),Moderateresolution Resolution Imaging Spectroradiometer land cover dataset(MCD12Q1),China’s National Land Use and Cover Change(CNLUCC),Globeland30 and Global Land Cover Fine Surface Covering 30(GLC-FCS30)datasets in 2010.The results showed that the percentages and changes in each land cover type in MCD12Q1 were different from those in the other datasets.Discussion:For example,the proportion of grassland in MCD12Q1 was the highest,reaching 48.04%.The places with high consistency were the places where the land cover types were concentrated,and the bare land had the highest consistency.However,the consistency of China’s land cover change was quite low,and the percentage of low consistency was more than 87%from 2000-2018.Comparison of the data with the global artificial impervious area(GAIA)and Hansen-Global Forest Change(Hansen-GFC)datasets showed that the percentage of high construction gain consistency(38.83%)was higher than the forest change consistency,and the percentage forest loss high consistency(8.85%)was lower than the forest gain high consistency(12.76%).Conclusion:The results not only provide a basis for the use of land cover datasets but also give a clearer understanding of the pattern of land cover changes.

关键词： spatiotemporal characteristic MCD12Q1 CCI-LC consistency assessment RMSE

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