Xiaoling Chen

Wuhan University

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Jianzhong Lu

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Lian Feng

Southern University of Science and Technology

Liqiao Tian

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Liqiong Chen

Fuzhou University

Qiangqiang Xu

China Geological Survey

Xuejiao Hou

Sun Yat-sen University

Xiaobin Cai

Chinese Academy of Sciences

Xingxing Han

First Affiliated Hospital of Anhui Medical University

Jue Huang

China Geological Survey

Xi Zhao

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Cooperative Institutions

Wuhan University

Chinese Academy of Sciences

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

University of Chinese Academy of Sciences

Nanjing University

Peking University

State Key Laboratory of Remote Sensing Science

Beijing Normal University

Zhejiang University

Ministry of Natural Resources

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Environmental change monitoring in the arid and semi-arid regions: a case study Al-Basrah Province, Iraq

Environmental Monitoring and Assessment (2009)

A. S. Hadeel Mushtak T. Jabbar Xiaoling Chen

Land Cover

10.1007/s10661-009-1056-9

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Citations (24)

Trend Analysis of Rainfall Time Series in Shanxi Province, Northern China (1957–2019)

Water (2020)

Feng Gao Yunpeng Wang Xiaoling Chen Wenfu Yang

Changes in rainfall play an important role in agricultural production, water supply and management, and social and economic development in arid and semi-arid regions. The objective of this study was to examine the trend of rainfall series from 18 meteorological stations for monthly, seasonal, and annual scales in Shanxi province over the period 1957–2019. The Mann–Kendall (MK) test, Spearman’s Rho (SR) test, and the Revised Mann–Kendall (RMK) test were used to identify the trends. Sen’s slope estimator (SSE) was used to estimate the magnitude of the rainfall trend. An autocorrelation function (ACF) plot was used to examine the autocorrelation coefficients at various lags in order to improve the trend analysis by the application of the RMK test. The results indicate remarkable differences with positive and negative trends (significant or non-significant) depending on stations. The largest number of stations showing decreasing trends occurred in March, with 10 out of 18 stations at the 10%, 5%, and 1% levels. Wutai Shan station has strong negative trends in January, March, April, November, and December at the level of 1%. In addition, Wutai Shan station also experienced a significant decreasing trend over four seasons at a significance level of 1% and 10%. On the annual scale, there was no significant trend detected by the three identification methods for most stations. MK and SR tests have similar power for detecting monotonic trends in rainfall time series data. Although similar results were obtained by the MK/SR and RMK tests in this study, in some cases, unreasonable trends may be provided by the RMK test. The findings of this study could benefit agricultural production activities, water supply and management, drought monitoring, and socioeconomic development in Shanxi province in the future.

Trend analysis

10.3390/w12092335

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Citations (30)

Satellite-based estimates of daily NO2 exposure in urban agglomerations of China and application to spatio-temporal characteristics of hotspots

Atmospheric Environment (2022)

Jiadan Dong Xiaobin Cai Liqiao Tian Fang Chen Qiangqiang Xu

Urban agglomeration

Hotspot (geology)

Ozone Monitoring Instrument

10.1016/j.atmosenv.2022.119453

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Citations (9)

Analysis of Sudan Vegetation Dynamics Using NOAA-AVHRR NDVI Data from 1982-1993

Asian Journal of Earth Sciences (2007)

Habib Aziz Salim Xiaoling Chen Jianya Gong

10.3923/ajes.2008.1.15

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Citations (13)

Drought offsets the vegetation greenness-induced gross primary productivity from 1982 to 2018 in China

Journal of Hydrology (2024)

Liang Zheng Jianzhong Lu Xiaoling Chen

10.1016/j.jhydrol.2024.130881

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Citations (8)

Spatial Data Management and Analysis System for Flood Hazard Mitigation of Poyang Lake Watershed, China

Annals of GIS (2007)

Jianzhong Lu Xiaoling Chen Jian Zhang Yechao Sun Shuming Bao

Abstract Flood hazard Prevention and mitigation of Poyang Lake watershed is an emergent environmental problem because Poyang Lake watershed is one of the regions exposed most frequently to flood hazard in China. In order to meet the need of disaster reduction decision making of Poyang Lake watershed, Spatial Data Management and Analysis System of China Land Territory (not include islands in South Sea of China)for Flood Hazard Mitigation(short for SMAS-FHM) has been established making use of the methodology of spatial database technology based on Oracle9i&ArcSDE9. This paper, probes into designing and implementation of multi-resources and scales massive spatial database management system about flood hazard, and integral management between hazard thematic data and spatial data. Especially, a bitmap index adapted to primal TM/ETM+ image has been put forwards and realized to accelerate data search in the spatial database, which is turned out to be efficient and effective. Based on carrying out experiment, this paper has been also researched the key issues, including massive spatial data and flood hazard thematic data organization and storage, spatial index creating, spatial data searching, and flood hazard analysis models realizing and their effective organizing, such as flooding areas computing, 3-dimension flooding simulation, refuge location selection, refugee evacuation path analysis and relief material dispensing. Finally, important applications of SMAS-FHM in flood hazard mitigation have been also discussed for Poyang Lake watershed.

Thematic map

Watershed Management

10.1080/10824000709480627

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Citations (1)

Rapid assessment of riverine flood inundation in Chenab floodplain using remote sensing techniques

Geoenvironmental Disasters (2023)

Asif Sajjad Jianzhong Lu Xiaoling Chen Chikondi Chisenga Nausheen Mazhar

Abstract Introduction After flood occurrences, remote sensing images provide crucial information for mapping flood inundation extent. Optical satellite images can be utilized to generate flooded area maps when the flooded areas are free from clouds. Materials and Methods In this study flooded area was calculated using a variety of water indices and classification algorithms, calculated on Landsat data. Pre-flood, during flood, and post-flood satellite data were collected for in-depth flood investigation. The delineation of inundated areas was done using the Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), and Water Ratio Index (WRI). In order to detect and compare flooded areas with water indices, the supervised maximum likelihood algorithm was also used for land use and land cover mapping. Results The results of the investigation allowed for a flooded area and recession. The analysis revealed that the flooded area covered about 68% of the study area, and remained standing for seven weeks. We used the misclassified areas approach, as determined, using the classified results, to improve the results of the flooded areas, generated through the use of each of the 3 water indices. The result showed that the MNDWI images showed better accuracy of above 90%, which reflects the reliability of the results. Conclusion This proposed remote sensing (RS) technique provides a basis for the identification of inundated areas with less misclassified areas, which enable an emergency response to be targeted, for newly flooded areas. Thus, the present study provides a novel rapid flood mapping perspective and provides a considerable contribution to flood monitoring.

Land Cover

10.1186/s40677-023-00236-7

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Citations (11)

An innovative method for measuring the hysteresis effects of soil moisture on meteorological variables at various time scales and climate conditions

Geo-spatial Information Science (2023)

Qing Tian Jianzhong Lu Xiaoling Chen

Understanding the feedback and reactions of soil moisture to meteorological factors in meteorological-hydrological processes is essential due to the growing importance of soil moisture in energy and water cycles in critical zones. Using soil moisture and meteorological data from 1984 to 2018, based on Mann-Kendall and Sen slope trend, two possible patterns of land–atmosphere interaction were discovered in the Yangtze River Basin (YRB), low soil moisture model with less precipitation and higher evapotranspiration, and high-temperature mode with less soil moisture and less evapotranspiration. To measure the hysteresis between soil moisture and precipitation, temperature, and evapotranspiration, a novel method named Three-Step Method was put out. The lag times were measured at ground stations spread across various climatic zones and timescales. The findings demonstrated that the lag times are generally controlled by the regional climate, with shorter lag times in drier regions. Both long-term and short-term responses were seen in soil moisture to meteorological variables. On a monthly scale, soil moisture correlated positively with precipitation but negatively with temperature and evapotranspiration. On an annual scale, precipitation (temperature, evapotranspiration) lagged by roughly 0 to 2 months in the upper and middle regions and by -2 to -6 months in the lower region of the YRB. The contribution rates of meteorological elements on soil moisture were enhanced by taking lag time into account. This study provides a unique perspective for better understanding climate process forecasts and related drought management by considering the hysteresis of soil moisture on the feedback and responses of climate variables.

Hysteresis

10.1080/10095020.2023.2280574

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Citations (2)

Fifteen-year monitoring of the turbidity dynamics in large lakes and reservoirs in the middle and lower basin of the Yangtze River, China

Remote Sensing of Environment (2016)

Xuejiao Hou Lian Feng Hongtao Duan Xiaoling Chen Deyong Sun

Turbidity

Moderate-resolution imaging spectroradiometer

Yangtze river

10.1016/j.rse.2016.12.006

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