China Geological Environmental Monitoring InstituteHost
Advanced Search
Previous Article Next Article
2021 Vol. 48, No. 3
Article Contents
Article navigation > Hydrogeology & Engineering Geology > 2021 > 48(3): 20-30
Next Article Previous Article

YIN Xiaowei, WU Yiping, ZHAO Wenzhi, ZHAO Fubo, SUN Pengcheng, SONG Yanni, QIU Linjing. Drought characteristics and sensitivity of potential evapotranspiration to climatic factors in the arid and semi-arid areas of northwest China[J]. Hydrogeology & Engineering Geology, 2021, 48(3): 20-30. doi: 10.16030/j.cnki.issn.1000-3665.202012012
Citation: YIN Xiaowei, WU Yiping, ZHAO Wenzhi, ZHAO Fubo, SUN Pengcheng, SONG Yanni, QIU Linjing. Drought characteristics and sensitivity of potential evapotranspiration to climatic factors in the arid and semi-arid areas of northwest China[J]. Hydrogeology & Engineering Geology, 2021, 48(3): 20-30. doi: 10.16030/j.cnki.issn.1000-3665.202012012
shu

Drought characteristics and sensitivity of potential evapotranspiration to climatic factors in the arid and semi-arid areas of northwest China

  • 1. School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi　710049, China

  • 2. Linze Inland River Basin Research Station/Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu　730000, China

More Information
Received Date:  05 December 2020
Revised Date:  17 January 2021
Publish Date:  15 May 2021
    Abstract

  • Potential evapotranspiration (PET) is an important part of drought monitoring and evaluation. It is very important to analyze the climatic sensitive factors of PET to reveal the mechanism of hydrological responses to climate change. However, the local sensitivity method commonly used in previous studies is not suitable for nonlinear models and it is difficult to evaluate the interaction among meteorological factors. In this study, based on the monitoring data of 163 meteorological stations in the arid and semi-arid areas of northwest China from 1964 to 2018, we use the Penman-Monteith equation and Sobol global sensitivity to analyze the climatic sensitive factors of PET in the study area and discuss the climatic causes of the PET change. We also calculate the scPDSI and analyze the evolution characteristics of drought in northwest China. The results show that the annual average PET of the study area is 1157.8 mm with substantial spatial variations. The high-value areas are located in the eastern part of Xinjiang and the western part of Inner Mongolia, and the low-value areas are located in the southern part of Qinghai Province. The year 1993 was identified as a turning point, and the PET changed from a significant downward trend to a significant upward trend, which was more apparent in the summer in that year. From 1964 to 1993, the net radiation, wind speed, and relative humidity had a relatively greater impact on PET, while in the period 1994-2018, wind speed and relative humidity had a relatively greater impact on PET. The spatio-temporal distribution of scPDSI show that the drought in northern Xinjiang, central Qinghai and Gansu is becoming less severe, while the drought severity in the southwest part of the Yellow River Basin is becoming more severe, exacerbating regional water resources shortage and threatening ecological security.

    • FullText(HTML)
  • 加载中
    • References
  • [1] 刘珂, 姜大膀. 基于两种潜在蒸散发算法的SPEI对中国干湿变化的分析[J]. 大气科学,2015,39(1):23 − 36. [LIU Ke, JIANG Dabang. Analysis of dryness/wetness over China using standardized precipitation evapotranspiration index based on two evapotranspiration algorithms[J]. Chinese Journal of Atmospheric Sciences,2015,39(1):23 − 36. (in Chinese with English abstract)

    Google Scholar

    [2] CHAHINE M T. The hydrological cycle and its influence on climate[J]. Nature,1992,359(6394):373 − 380. doi: 10.1038/359373a0

    CrossRef Google Scholar

    [3] LIU C M, ZENG Y. Changes of pan evaporation in the recent 40 years in the Yellow River Basin[J]. Water International,2004,29(4):510 − 516. doi: 10.1080/02508060408691814

    CrossRef Google Scholar

    [4] JHAJHARIA D, DINPASHOH Y, KAHYA E, et al. Trends in reference evapotranspiration in the humid region of northeast India[J]. Hydrological Processes,2012,26(3):421 − 435. doi: 10.1002/hyp.8140

    CrossRef Google Scholar

    [5] CONG Z T, ZHAO J J, YANG D W, et al. Understanding the hydrological trends of river basins in China[J]. Journal of Hydrology,2010,388(3/4):350 − 356.

    Google Scholar

    [6] 刘昌明, 张丹. 中国地表潜在蒸散发敏感性的时空变化特征分析[J]. 地理学报,2011,66(5):579 − 588. [LIU Changming, ZHANG Dan. Temporal and spatial change analysis of the sensitivity of potential evapotranspiration to meteorological influencing factors in China[J]. Acta Geographica Sinica,2011,66(5):579 − 588. (in Chinese with English abstract)

    Google Scholar

    [7] GOYAL R K. Sensitivity of evapotranspiration to global warming: a case study of arid zone of Rajasthan (India)[J]. Agricultural Water Management,2004,69(1):1 − 11. doi: 10.1016/j.agwat.2004.03.014

    CrossRef Google Scholar

    [8] DINPASHOH Y, JHAJHARIA D, FAKHERI-FARD A, et al. Trends in reference crop evapotranspiration over Iran[J]. Journal of Hydrology,2011,399(3/4):422 − 433.

    Google Scholar

    [9] 杨林山, 李常斌, 王帅兵, 等. 洮河流域潜在蒸散发的气候敏感性分析[J]. 农业工程学报,2014,30(11):102 − 109. [YANG Linshan, LI Changbin, WANG Shuaibing, et al. Sensitive analysis of potential evapotranspiration to key climatic factors in Taohe River Basin[J]. Transactions of the Chinese Society of Agricultural Engineering,2014,30(11):102 − 109. (in Chinese with English abstract)

    Google Scholar

    [10] 张永生, 陈喜, 高满, 等. 不同气候区潜在蒸散发全局敏感性分析[J]. 河海大学学报(自然科学版),2017,45(2):137 − 144. [ZHANG Yongsheng, CHEN Xi, GAO Man, et al. Global sensitivity analysis of potential evapotranspiration in different climatic regions[J]. Journal of Hohai University (Natural Sciences),2017,45(2):137 − 144. (in Chinese with English abstract)

    Google Scholar

    [11] GUO D L, WESTRA S, MAIER H R. Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones[J]. Hydrology and Earth System Sciences,2017,21(4):2107 − 2126. doi: 10.5194/hess-21-2107-2017

    CrossRef Google Scholar

    [12] XU Y P, PAN S L, FU G T, et al. Future potential evapotranspiration changes and contribution analysis in Zhejiang Province, East China[J]. Journal of Geophysical Research: Atmospheres,2014,119(5):2174 − 2192. doi: 10.1002/2013JD021245

    CrossRef Google Scholar

    [13] ZHANG S N, WU Y P, SIVAKUMAR B, et al. Climate change-induced drought evolution over the past 50 years in the southern Chinese Loess Plateau[J]. Environmental Modelling & Software,2019,122:104519.

    Google Scholar

    [14] PALMER W C. Meteorological drought[M]. Washington, DC: Bureau, 1965.

    Google Scholar

    [15] WELLS N, GODDARD S, HAYES M J. A self-calibrating palmer drought severity index[J]. Journal of Climate,2004,17(12):2335 − 2351. doi: 10.1175/1520-0442(2004)017<2335:ASPDSI>2.0.CO;2

    CrossRef Google Scholar

    [16] 王文, 许志丽, 蔡晓军, 等. 基于PDSI的长江中下游地区干旱分布特征[J]. 高原气象,2016,35(3):693 − 707. [WANG Wen, XU Zhili, CAI Xiaojun, et al. Aridity characteristic in middle and lower reaches of Yangtze River area based on palmer drought severity index analysis[J]. Plateau Meteorology,2016,35(3):693 − 707. (in Chinese with English abstract)

    Google Scholar

    [17] 陈亚宁, 杨青, 罗毅, 等. 西北干旱区水资源问题研究思考[J]. 干旱区地理,2012,35(1):1 − 9. [CHEN Yaning, YANG Qing, LUO Yi, et al. Ponder on the issues of water resources in the arid region of northwest China[J]. Arid Land Geography,2012,35(1):1 − 9. (in Chinese with English abstract)

    Google Scholar

    [18] ALLEN R G, PEREIRA L S, RAES D, et al. Crop evapotranspiration. guidelines for computing crop water requirements[EB/OL]. 1998.

    Google Scholar

    [19] SOBOL I M. Sensitivity estimates for nonlinear mathematical models[J]. Math Model Comput Exp,1993,1(1):112118.

    Google Scholar

    [20] SOBOL I M. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates[J]. Mathematics & Computers in Simulation,2001,55(1/2/3):271 − 280.

    Google Scholar

    [21] DAI Y J, SHANGGUAN W, DUAN Q Y, et al. Development of a China dataset of soil hydraulic parameters using pedotransfer functions for land surface modeling[J]. Journal of Hydrometeorology,2013,14(3):869 − 887. doi: 10.1175/JHM-D-12-0149.1

    CrossRef Google Scholar

    [22] TANG Y, REED P, WAGENER T, et al. Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation[J]. Hydrology and Earth System Sciences,2007,11(2):793 − 817. doi: 10.5194/hess-11-793-2007

    CrossRef Google Scholar

    [23] 陈亚宁, 徐长春, 杨余辉, 等. 新疆水文水资源变化及对区域气候变化的响应[J]. 地理学报,2009,64(11):1331 − 1341. [CHEN Yaning, XU Changchun, YANG Yuhui, et al. Hydrology and water resources variation and its responses to regional climate change in Xinjiang[J]. Acta Geographica Sinica,2009,64(11):1331 − 1341. (in Chinese with English abstract)

    Google Scholar

    [24] 倪广恒, 李新红, 丛振涛, 等. 中国参考作物腾发量时空变化特性分析[J]. 农业工程学报,2006,22(5):1 − 4. [NI Guangheng, LI Xinhong, CONG Zhentao, et al. Temporal and spatial characteristics of reference evapotranspiration in China[J]. Transactions of the Chinese Society of Agricultural Engineering,2006,22(5):1 − 4. (in Chinese with English abstract)

    Google Scholar

    [25] 尹云鹤, 吴绍洪, 戴尔阜. 1971—2008年我国潜在蒸散时空演变的归因[J]. 科学通报,2010,55(22):2226 − 2234. [YIN Yunhe, WU Shaohong, DAI Erfu. Attribution of temporal and spatial evolution of potential evapotranspiration in China from 1971 to 2008[J]. Chinese Science Bulletin,2010,55(22):2226 − 2234. (in Chinese) doi: 10.1360/csb2010-55-22-2226

    CrossRef Google Scholar

    [26] 曹雯, 申双和, 段春锋. 西北地区生长季参考作物蒸散变化成因的定量分析[J]. 地理学报,2011,66(3):407 − 415. [CAO Wen, SHEN Shuanghe, DUAN Chunfeng. Quantification of the causes for reference crop eapotranspiration changes in growing season in northwest China[J]. Acta Geographica Sinica,2011,66(3):407 − 415. (in Chinese with English abstract)

    Google Scholar

    [27] 王小静, 李志, 赵姹, 等. 西北旱区1961—2011年参考作物蒸散量的时空分异[J]. 生态学报,2014,34(19):5609 − 5616. [WANG Xiaojing, LI Zhi, ZHAO Cha, et al. Spatiotemporal variations of the reference crop evapotranspiration in the arid region of northwest China during 1961—2011[J]. Acta Ecologica Sinica,2014,34(19):5609 − 5616. (in Chinese with English abstract)

    Google Scholar

    [28] HE IM, RICHARD R. A review of twentieth-century drought indices used in the United States[J]. Bulletin of the American Meteorological Society,2002,83(8):1149 − 1165. doi: 10.1175/1520-0477(2002)083<1149:AROTDI>2.3.CO;2

    CrossRef Google Scholar

    [29] 杨庆, 李明星, 郑子彦, 等. 7种气象干旱指数的中国区域适应性[J]. 中国科学: 地球科学,2017,47(3):337 − 353. [YANG Qing, LI Mingxing, ZHENG Ziyan, et al. Regional adaptability of 7 meteorological drought indices in China[J]. Scientia Sinica(Terrae),2017,47(3):337 − 353. (in Chinese)

    Google Scholar

    [30] DAI A G. Characteristics and trends in various forms of the Palmer Drought Severity Index during 1900–2008[J]. Journal of Geophysical Research Atmospheres,2011,116(D12):D12115. doi: 10.1029/2010JD015541

    CrossRef Google Scholar

    • Relative Articles
  • Cited by
  • Supplements
    • Proportional views
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Figures(12)

Tables(4)

Export Citation
PDF
XML

Article Metrics

Article views(2749) PDF downloads(200) Cited by(0)

Access History

Other Articles By Authors

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    版权所有：中国地质调查局发展研究中心 copyright @2020