LULU LIU

Dr. LULU LIU

Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 December 2019 in Earth's Future
Verified
Journal Article
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绍洪 吴绍洪绍洪 吴绍洪
绍洪 吴绍洪
LLLULU LIU
LULU LIU
Jiangbo GaoJiangbo Gao
Jiangbo Gao
WWWentao Wang
Wentao Wang
: Risk of climate‐related impacts results from the interaction of climate‐related hazards (including hazardous events and trends) with the vulnerability and exposure of human and natural systems. Despite the commitment of the Paris Agreement, the integrate research on climate change risk combining risk‐causing factors and risk‐bearing bodies, the regional differences in climate impacts are still missing. In this paper we provide a quantitative assessment of hazards and socioeconomic risks of extreme events, risks of risk‐bearing bodies in China under global warming of 1.5 and 2.0 °C based on future climate scenarios, and quantitative evaluation theory for climate change risk. For severe heat waves, hazards might significantly intensify. Affected population under 2.0 °C warming might increase by more than 60% compared to that of 1.5 °C. Hazards of severe droughts and floods might strengthen under Representative Concentration Pathway 8.5 scenario. Economic losses might double between warming levels of 1.5 and 2.0 °C, and the population affected by severe floods might continuously increase. Under the integrate effects of multiple disasters, the regions with high population and economic risks would be concentrated in eastern China. The scope would gradually expand to the west with socioeconomic development and intensification of extreme events. High ecological risks might be concentrated in the southern regions of the Yangtze River Basin, while the ecological risk in northern China would expand. High agriculture yield risks might be distributed mainly in south of the North China Plain, the Sichuan Basin, south of the Yangtze River, and west of Northwest China, and the risk levels might continuously increase.

29 July 2024 in Science of The Total Environment
Verified
Journal Article
Closed access
SZShuang Zhou
Shuang Zhou
SWShaohong Wu
Shaohong Wu
JGJiangbo Gao
Jiangbo Gao
LLLULU LIU
LULU LIU
Delong LiDelong Li
Delong Li
JWJie Wang
Jie Wang

21 March 2019 in Journal of Geographical Sciences
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Journal Article
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SWShaohong Wu
Shaohong Wu
LLLULU LIU
LULU LIU
YLYanhua Liu
Yanhua Liu
JGJiangbo Gao
Jiangbo Gao
EDErfu Dai
Erfu Dai
WWWentao Wang
Wentao Wang

31 March 2022 in Remote Sensing
Verified
Journal Article
Open access
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LLLULU LIU
LULU LIU
YJYuan Jiang
Yuan Jiang
Jiangbo GaoJiangbo Gao
Jiangbo Gao
AFAiqing Feng
Aiqing Feng
KJKewei Jiao
Kewei Jiao
RYRui Yan
Rui Yan
Global warming and its associated changes in temperature and precipitation have significantly affected the ecosystem in Southwest China, yet studies that integrate temperature and precipitation changes are inadequate for quantitatively assessing the impacts of extreme events on ecosystems. In this study, the return period of concurrent climate extremes characterized by precipitation deficit and extreme temperature and the spatial and temporal dynamic patterns of their impacts on ecosystems were assessed by using high-precision temperature and precipitation data, as well as NDVI and NPP data collected for the 1985–2015 period. The results show that the 2009 concurrent event had a return period of about 200 years. The return periods of individual climate factors are significantly overestimated or underestimated. Concurrent events significantly reduced the spring and annual Normalized Difference Vegetation Index (NDVI) and net primary productivity (NPP) in Southwest China. The magnitude of the reduction in vegetation greenness and productivity increased with the intensity of concurrent events. Concurrent events beginning in autumn 2009 reduced spring NDVI and NPP by 8.8% and 23%, and annual NDVI and NPP by 2.23% and 7.22%, respectively. Under future climate scenarios, the return period of concurrent events could be significantly shortened, which would have a more severe impact on regional ecosystems.

2 April 2020 in Big Earth Data
Verified
Journal Article
Open access
Jiangbo GaoJiangbo Gao
Jiangbo Gao
LLLULU LIU
LULU LIU
绍洪 吴绍洪绍洪 吴绍洪
绍洪 吴绍洪
Changes in the frequency and intensity of extreme events affect the risk pattern of risk-bearing bodies and the effectiveness of response measures. Based on future climate scenario data, in this study, we identify global warming periods of 1.5°C and 2°C above pre-industrial levels, and the temporal and spatial patterns of temperature and precipitation in China during the same period, propose a methodology for risk assessment and integrated analysis of extreme events, build a database of extreme events and their hazards in China in the context of climate change, and assess the hazards caused by extreme events (i.e., heatwaves, floods, and droughts) in China under different warming periods. Under the RCP4.5 and RCP8.5 scenarios, global temperatures increase by 1.5°C and 2°C above pre-industrial levels by 2029 and 2026 and by 2050 and 2040, respectively. The warming would be fast in the north and slow in the south, the warming of the Qinghai-Tibet Plateau would accelerate, and the precipitation would increase in the north and decrease in the south, but the trend of the precipitation reduction in the south would be more significant under the RCP8.5 scenario. For 2°C of warming, the hazard index of severe heatwaves in the North China Plain, parts of South China, and the western part of Inner Mongolia would double that of 1.5°C warming. Regional differences in extreme precipitation would increase, especially under the RCP8.5 scenario, the hazard index of severe floods in parts of East China would be about twice that of 1.5°C warming. Under the joint influence of rising temperature and changing precipitation, the drought situation would be alleviated under the RCP4.5 scenario, but it is intensified under the RCP8.5 scenario. For 2°C of warming, the hazard index of severe droughts in some areas would reach three times that of 1.5°C warming. For the integrated hazard of the three types of extreme events, the areas of high and medium hazards would expand, while the areas of low hazard would decrease. For 2°C of warming, the areas of high and medium hazards would be more than half the total area.

6 October 2020 in Mitigation and Adaptation Strategies for Global Change
Verified
Journal Article
Closed access
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WLWanlu Liu
Wanlu Liu
LLLULU LIU
LULU LIU
Jiangbo GaoJiangbo Gao
Jiangbo Gao