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Jianjun Wu      
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Jianjun Wu published an article in February 2016.
Top co-authors
Weiguo Jiang

61 shared publications

State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, China

Zhenghong Tang

50 shared publications

Community and Regional Planning Program, University of Nebraska–Lincoln, Lincoln, USA

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Publication Record
Distribution of Articles published per year 
(2011 - 2016)
Total number of journals
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3
 
Publications
Article 0 Reads 8 Citations Variations in water storage in China over recent decades from GRACE observations and GLDAS X. Mo, J. J. Wu, Qianfeng Wang, H. Zhou Published: 17 February 2016
Natural Hazards and Earth System Sciences, doi: 10.5194/nhess-16-469-2016
DOI See at publisher website ABS Show/hide abstract
We applied Gravity Recovery and Climate Experiment (GRACE) Tellus products in combination with Global Land Data Assimilation System (GLDAS) simulations and data from reports, to analyze variations in terrestrial water storage (TWS) in China as a whole and eight of its basins from 2003 to 2013. Amplitudes of TWS were well restored after scaling, and showed good correlations with those estimated from models at the basin scale. TWS generally followed variations in annual precipitation; it decreased linearly in the Huai River basin (−0.56cm yr−1) and increased with fluctuations in the Changjiang River basin (0.35cm yr−1), Zhujiang basin (0.55cm yr−1) and southeast rivers basin (0.70cm yr−1). In the Hai River basin and Yellow River basin, groundwater exploitation may have altered TWS's response to climate, and TWS kept decreasing until 2012. Changes in soil moisture storage contributed over 50% of variance in TWS in most basins. Precipitation and runoff showed a large impact on TWS, with more explained TWS in the south than in the north. North China and southwest rivers region exhibited long-term TWS depletions. TWS has increased significantly over recent decades in the middle and lower reaches of Changjiang River, southeastern coastal areas, as well as the Hoh Xil, and the headstream region of the Yellow River in the Tibetan Plateau. The findings in this study could be helpful to climate change impact research and disaster mitigation planning.
Article 0 Reads 4 Citations Evaluating the Vegetation Recovery in the Damage Area of Wenchuan Earthquake Using MODIS Data Wei-Guo Jiang, Kai Jia, Jian-Jun Wu, Zheng-Hong Tang, Wen-Ji... Published: 13 July 2015
Remote Sensing, doi: 10.3390/rs70708757
DOI See at publisher website ABS Show/hide abstract
The catastrophic 8.0 Richter magnitude earthquake that occurred on 12 May 2008 in Wenchuan, China caused extensive damage to vegetation due to widespread landslides and debris flows. In the past five years, the Chinese government has implemented a series of measures to restore the vegetation in the severely afflicted area. How is the vegetation recovering? It is necessary and important to evaluate the vegetation recovery effect in earthquake-stricken areas. Based on MODIS NDVI data from 2005 to 2013, the vegetation damage area was extracted by the quantified threshold detection method. The vegetation recovery rate after five years following the earthquake was evaluated with respect to counties, altitude, fault zones, earthquake intensity, soil texture and vegetation types, and assessed over time. We have proposed a new method to obtain the threshold with vegetation damage quantitatively, and have concluded that: (1) The threshold with vegetation damage was 13.47%, and 62.09% of the field points were located in the extracted damaged area; (2) The total vegetation damage area was 475,688 ha, which accounts for 14.34% of the study area and was primarily distributed in the central fault zone, the southwest mountainous areas and along rivers in the Midwest region of the study area; (3) Vegetation recovery in the damaged area was better in the northeast regions of the study area, and in the western portion of the Wenchuan-Maoxian fracture; vegetation recovery was better with increasing altitude; there is no obvious relationship between clay content in the topsoil and vegetation recovery; (4) Meadows recovered best and the worst recovery was in mixed coniferous broad-leaved forest; (5) 81,338 ha of vegetation in the damage area is currently undergoing degradation and the main vegetation types in the degradation area are coniferous forest (31.39%) and scrub (34.17%); (6) From 2009 to 2013, 41% has been restored to the level before the earthquake, 9% has not returned but 50% will continue to recover. The Chinese government usually requires five years as a period for post-disaster reconstruction. This paper could be regarded as a guidance for Chinese government departments, whereby additional investment is encouraged for vegetation recovery.
Article 1 Read 0 Citations [Monitoring method of underground coal fire based on night thermal infrared remote sensing technology]. Wei-Guo Jiang, Jian-Jun Wu, Lei Gu, Bo Yang, Qiang Chen, Xia... Published: 01 February 2011
Guang pu xue yu guang pu fen xi = Guang pu,
PubMed View at PubMed
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