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Guangpo Geng  - - - 
Top co-authors See all
Xueli An

233 shared publications

Peijun Shi

108 shared publications

Academy of Disaster Reduction and Emergency Management; Ministry of Civil Affairs and Ministry of Education, Beijing Normal University; China

Zhenghong Tang

70 shared publications

Jinghui Liu

57 shared publications

Academy of Disaster Reduction and Emergency Management; Ministry of Civil Affairs and Ministry of Education, Beijing Normal University; China

Qianfeng Wang

23 shared publications

6
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Publication Record
Distribution of Articles published per year 
(2014 - 2016)
Total number of journals
published in
 
5
 
Publications
Article 0 Reads 1 Citation A comprehensively quantitative method of evaluating the impact of drought on crop yield using daily multi-scale SPEI and... Qianfeng Wang, Hongkui Zhou, Jianhua Yang, Guangpo Geng, Xue... Published: 25 November 2016
International Journal of Biometeorology, doi: 10.1007/s00484-016-1246-4
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The quantitative evaluation of the impact of drought on crop yield is one of the most important aspects in agricultural water resource management. To assess the impact of drought on wheat yield, the Environmental Policy Integrated Climate (EPIC) crop growth model and daily Standardized Precipitation Evapotranspiration Index (SPEI), which is based on daily meteorological data, are adopted in the Huang Huai Hai Plain. The winter wheat crop yields are estimated at 28 stations, after calibrating the cultivar coefficients based on the experimental site data, and SPEI data was taken 11 times across the growth season from 1981 to 2010. The relationship between estimated yield and multi-scale SPEI were analyzed. The optimum time scale SPEI to monitor drought during the crop growth period was determined. The reference yield was determined by averaging the yields from numerous non-drought years. From this data, we propose a comprehensive quantitative method which can be used to predict the impact of drought on wheat yields by combining the daily multi-scale SPEI and crop growth process model. This method was tested in the Huang Huai Hai Plain. The results suggested that estimation of calibrated EPIC was a good predictor of crop yield in the Huang Huai Hai Plain, with lower RMSE (15.4 %) between estimated yield and observed yield at six agrometeorological stations. The soil moisture at planting time was affected by the precipitation and evapotranspiration during the previous 90 days (about 3 months) in the Huang Huai Hai Plain. SPEIG90 was adopted as the optimum time scale SPEI to identify the drought and non-drought years, and identified a drought year in 2000. The water deficit in the year 2000 was significant, and the rate of crop yield reduction did not completely correspond with the volume of water deficit. Our proposed comprehensive method which quantitatively evaluates the impact of drought on crop yield is reliable. The results of this study further our understanding why the adoption of counter measures against drought is important and direct farmers to choose drought-resistant crops.
Conference 0 Reads 0 Citations Improving soil moisture estimation by assimilating remotely sensed data into crop growth model for agricultural drought ... Hongkui Zhou, Jianjun Wu, Xiaohan Li, Guangpo Geng, Leizhen ... Published: 01 July 2016
IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium, doi: 10.1109/igarss.2016.7730102
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Article 0 Reads 5 Citations A new framework for evaluating the impacts of drought on net primary productivity of grassland Tianjie Lei, Jianjun Wu, Xiaohan Li, Guangpo Geng, Changlian... Published: 01 December 2015
Science of The Total Environment, doi: 10.1016/j.scitotenv.2015.06.138
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This paper presented a valuable framework for evaluating the impacts of droughts (single factor) on grassland ecosystems. This framework was defined as the quantitative magnitude of drought impact that unacceptable short-term and long-term effects on ecosystems may experience relative to the reference standard. Long-term effects on ecosystems may occur relative to the reference standard. Net primary productivity (NPP) was selected as the response indicator of drought to assess the quantitative impact of drought on Inner Mongolia grassland based on the Standardized Precipitation Index (SPI) and BIOME-BGC model. The framework consists of six main steps: 1) clearly defining drought scenarios, such as moderate, severe and extreme drought; 2) selecting an appropriate indicator of drought impact; 3) selecting an appropriate ecosystem model and verifying its capabilities, calibrating the bias and assessing the uncertainty; 4) assigning a level of unacceptable impact of drought on the indicator; 5) determining the response of the indicator to drought and normal weather state under global-change; and 6) investigating the unacceptable impact of drought at different spatial scales. We found NPP losses assessed using the new framework were more sensitive to drought and had higher precision than the long-term average method. Moreover, the total and average losses of NPP are different in different grassland types during the drought years from 1961-2009. NPP loss was significantly increased along a gradient of increasing drought levels. Meanwhile, NPP loss variation under the same drought level was different in different grassland types. The operational framework was particularly suited for integrative assessing the effects of different drought events and long-term droughts at multiple spatial scales, which provided essential insights for sciences and societies that must develop coping strategies for ecosystems for such events.
Article 0 Reads 7 Citations Agricultural drought hazard analysis during 1980-2008: a global perspective Guangpo Geng, Jianjun Wu, Qianfeng Wang, Tianjie Lei, Bin He... Published: 27 April 2015
International Journal of Climatology, doi: 10.1002/joc.4356
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Various studies have been performed on drought hazard assessment at the national or regional scales, but few studies to date at the global scale, especially on global agriculture. In this paper, we utilized an agricultural drought hazard index (DHI), based on both drought severity and drought occurrence rate, derived from 3‐month scale Standardized Precipitation Index (SPI) and the phenology data of main crops (rice, maize, wheat, barley, sorghum and soybean) to assess the agricultural drought hazard grades of the world during 1980–2008. The results indicated that area percentages of high and very high agricultural drought hazard zones were approximately 23.57 and 27.19% of the total agricultural area in the world. Moreover, those zones mostly were distributed in central United States, southeastern South America, most of Europe, southwestern Russia, both southern Congo and Nigeria, east‐central and southwest China, Southeast Asia and eastern Australia, and most of those areas were also located in semi‐humid or humid climate zones. In addition, some regions above were also found to be the very high agricultural drought hazard zones for the main crops: East‐central and southwest China for wheat, maize, rice and soybean; Europe for wheat, maize and barley; Southeast Asia for rice; both central United States and southeastern South America for wheat, maize, soybean and sorghum.
Article 0 Reads 12 Citations The alleviating trend of drought in the Huang-Huai-Hai Plain of China based on the daily SPEI Qianfeng Wang, Peijun Shi, Tianjie Lei, Guangpo Geng, Jinghu... Published: 08 January 2015
International Journal of Climatology, doi: 10.1002/joc.4244
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Drought is a major natural hazard that can have devastating impacts on regional agriculture, water resources and the environment. To assess the variability and pattern of drought characteristics in the Huang‐Huai‐Hai (HHH) Plain, the daily Standardized Precipitation Evapotranspiration Index (SPEI) is developed based on daily meteorological data in this study. The daily SPEI data are used, including Annual Total Drought Severity (ATDS), Annual Total Drought Duration (ATDD) and Annual Drought Frequency (ADF), which were calculated from 1981 to 2010 at 28 meteorological stations. We used the indices (ATDS, ATDD and ADF), Hovmöller diagrams and the reliable no parameter statistical methods of the Mann–Kendall test to assess the variability and pattern of drought characteristics for the period from 1981 to 2010 in the HHH plain. The results suggested that severe drought occurred in the 1980s, the late 1990s and the early 2000s, severe drought events occurred in 1981, 1986, 1997 and 2002. Decreasing trends for both ATDS and ATDD were found, and the drought situation did not worsen under global warming during the past 30 years, and the drought situation is alleviating in the entire HHH plain. The northeast and southwest regions of the HHH plain have suffered from more severe drought, and the north region is prone to drought. The results of the study can provide a scientific understanding for the adoption of countermeasures of regional defence against drought and also may serve as a reference point for drought hazard vulnerability analysis.
Article 0 Reads 22 Citations Temporal-spatial characteristics of severe drought events and their impact on agriculture on a global scale Qianfeng Wang, Jianjun Wu, Tianjie Lei, Bin He, Zhitao Wu, M... Published: 01 October 2014
Quaternary International, doi: 10.1016/j.quaint.2014.06.021
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