Drought Occurring With Hot Extremes: Changes Under Future Climate Change on Loess Plateau, China

被引:61
|
作者
Sun, C. X. [1 ]
Huang, G. H. [2 ]
Fan, Y. [3 ]
Zhou, X. [4 ]
Lu, C. [4 ]
Wang, X. Q. [5 ]
机构
[1] North China Elect Power Univ, Key Lab Reg Energy & Environm Syst Optimizat, Minist Educ, Beijing, Peoples R China
[2] Beijing Normal Univ, Ctr Energy Environm & Ecol Res, UR BNU, Beijing, Peoples R China
[3] Brunel Univ, Coll Engn Design & Phys Sci, London, England
[4] Univ Regina, Fac Engn & Appl Sci, Regina, SK, Canada
[5] Univ Prince Edward Isl, Sch Climate Change & Adaptat, Charlottetown, PE, Canada
关键词
HYDROLOGIC RISK ANALYSIS; DATA ASSIMILATION; PRECIPITATION; TEMPERATURE; PROJECTIONS; INDEXES; MODEL; EVOLUTION; PARAMETER; VARIABLES;
D O I
10.1029/2018EF001103
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Drought is one of the most widespread and destructive hazards over the Loess Plateau (LP) of China. Due to climate change, extremely high temperature accompanied with drought (expressed as hot drought) may lead to intensive losses of both properties and human deaths in future. A hot drought probabilistic recognition system is developed to investigate how potential future climate changes will impact the simultaneous occurrence of drought and hot extremes (hot days exceeding certain values) on the LP. Two regional climate models, coupled with multiple bias-correction techniques and multivariate probabilistic inference, are innovative integrated into the hot drought probabilistic recognition system to reveal the concurrence risk of droughts and hot extremes under different Representative Concentration Pathway (RCP) scenarios. The hot-day index, TX90p, indicating the number of days with daily maximum temperature (T-max) exceeding the 90th percentile threshold, and the Standardized Precipitation Index are applied to identify the joint risks on the LP using copula-based methods. The results show that precipitation will increase throughout most of the LP under both RCP4.5 and RCP8.5 scenarios of 2036-2095, while T-max may increase significantly all over the LP (1.8-2.7 degrees C for RCP4.5 and 2.7-3.6 degrees C for RCP8.5). The joint return periods of Standardized Precipitation Index and TX90p show that fewer stations will experience severe drought with long-term hot extremes in two future scenarios. However, some stations may experience hot droughts that are more frequent and extreme, particularly certain stations in the southwest and south-central regions of the LP with recurrence period less than 10 years.
引用
收藏
页码:587 / 604
页数:18
相关论文
共 50 条
  • [1] Drought Under Global Warming and Climate Change: An Empirical Study of the Loess Plateau
    Li, Yang
    Xie, Zhixiang
    Qin, Yaochen
    Xia, Haoming
    Zheng, Zhicheng
    Zhang, Lijun
    Pan, Ziwu
    Liu, Zhenzhen
    [J]. SUSTAINABILITY, 2019, 11 (05):
  • [2] Mechanisms of climate change impacts on vegetation and prediction of changes on the Loess Plateau, China
    Gou, Yongcheng
    Jin, Zhao
    Kou, Pinglang
    Tao, Yuxiang
    Xu, Qiang
    Zhu, Wenchen
    Tian, Haibo
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2024, 83 (08)
  • [3] Evaluation of agricultural water demand under future climate change scenarios in the Loess Plateau of Northern Shaanxi, China
    Sun, S. K.
    Li, C.
    Wu, P. T.
    Zhao, X. N.
    Wang, Y. B.
    [J]. ECOLOGICAL INDICATORS, 2018, 84 : 811 - 819
  • [4] Changes of daily climate extremes in Loess Plateau during 1960-2013
    Gao Yan
    Feng Qi
    Liu Wei
    Lu Aigang
    Wang Yu
    Yang Jing
    Cheng Aifang
    Wang Yamin
    Su Yubo
    Liu Li
    Ma Qianqian
    [J]. QUATERNARY INTERNATIONAL, 2015, 371 : 5 - 21
  • [5] Potential productivity of the Miscanthus energy crop in the Loess Plateau of China under climate change
    Liu, Wei
    Sang, Tao
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2013, 8 (04):
  • [6] Changes of Climate-Vegetation Ecosystem in Loess Plateau of China
    Fan, Z. M.
    Li, J.
    Yue, T. X.
    [J]. 18TH BIENNIAL ISEM CONFERENCE ON ECOLOGICAL MODELLING FOR GLOBAL CHANGE AND COUPLED HUMAN AND NATURAL SYSTEM, 2012, 13 : 715 - 720
  • [7] Evaluating late spring frost risks of apple in the Loess Plateau of China under future climate change with phenological modeling approach
    Ru, Xiaoya
    Jiang, Yuan
    Luo, Qi
    Wang, Runhong
    Feng, Xinxin
    Wang, Jinghong
    Wang, Zhao
    Li, Meirong
    Qu, Zhenjiang
    Su, Baofeng
    Feng, Hao
    Zhang, Dong
    Liu, Deli
    Yu, Qiang
    He, Jianqiang
    [J]. SCIENTIA HORTICULTURAE, 2023, 308
  • [8] Streamflow regimes of the Yanhe River under climate and land use change, Loess Plateau, China
    Gao, Peng
    Jiang, Guantao
    Wei, Yongping
    Mu, Xingmin
    Wang, Fei
    Zhao, Guangju
    Sun, Wenyi
    [J]. HYDROLOGICAL PROCESSES, 2015, 29 (10) : 2402 - 2413
  • [9] Spatiotemporal changes of normalized difference vegetation index (NDVI) and response to climate extremes and ecological restoration in the Loess Plateau, China
    Anzhou Zhao
    Anbing Zhang
    Xianfeng Liu
    Sen Cao
    [J]. Theoretical and Applied Climatology, 2018, 132 : 555 - 567
  • [10] Spatiotemporal changes of normalized difference vegetation index (NDVI) and response to climate extremes and ecological restoration in the Loess Plateau, China
    Zhao, Anzhou
    Zhang, Anbing
    Liu, Xianfeng
    Cao, Sen
    [J]. THEORETICAL AND APPLIED CLIMATOLOGY, 2018, 132 (1-2) : 555 - 567