Changes of reference evapotranspiration in the Haihe River Basin: Present observations and future projection from climatic variables through multi-model ensemble

被引:53
|
作者
Xing, Wanqiu [1 ,2 ]
Wang, Weiguang [1 ,2 ]
Shao, Quanxi [3 ]
Peng, Shizhang [1 ]
Yu, Zhongbo [1 ,2 ,4 ]
Yong, Bin [1 ]
Taylor, John [5 ]
机构
[1] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China
[2] Hohai Univ, Coll Water Resources & Hydrol, Nanjing 210098, Jiangsu, Peoples R China
[3] CSIRO Math Informat & Stat, Wembley, WA 6913, Australia
[4] Univ Nevada, Dept Geosci, Las Vegas, NV 89154 USA
[5] CSIRO Math Informat & Stat, Canberra, ACT 2601, Australia
基金
美国国家科学基金会;
关键词
Reference evapotranspiration; Multi-model ensemble; The Haihe River Basin; Bayesian model averaging (BMA); Projection; PAN EVAPORATION TRENDS; BAYESIAN DECISION METHOD; POTENTIAL EVAPOTRANSPIRATION; SPATIAL-DISTRIBUTION; REGIONAL EVAPOTRANSPIRATION; COMPLEMENTARY RELATIONSHIP; SENSITIVITY; FORECASTS; PLATEAU; BALANCE;
D O I
10.1016/j.gloplacha.2014.01.004
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
As the most excellent indicator for hydrological cycle and a central link to water-balance calculations, the reference evapotranspiration (ET0) is of increasing importance in assessing the potential impacts of climate change on hydrology and water resources systems since the climate change has been becoming more pronounced. In this study, we conduct an investigation on the spatial and temporal changes in ET0 of the Haihe River Basin in present and future stages. The ET0 in the past five decades (1961-2010) are calculated by the Penman-Monteith method with historical climatic variables in 40 sites while the ET0 estimation for the future period of 2011-2099 is based on the related climatic variables projected by Coupled General Circulation Model (CGCM) multimodel ensemble projections in Phase 3 of the Coupled Model Intercomparison Project (CMIP3) using the Bayesian Model Average (BMA) approach. Results can be summarized for the present and future as follows. (1) No coherent spatial patterns in ET0 changes are seen in the whole basin. Half of the stations distributed mainly in the eastern and southeastern plain regions present significant negative trends, while only 3 stations in the western mountainous and plateau basin show significant positive trends. Radiation is mainly responsible for the ET0 change in the southern and eastern basin, whereas relative humidity and wind speed are the leading factors in the eastern coastal and north parts. (2) BMA ensemble method is competent to produce lower bias in comparison with other common methods in this basin. Future spatiotemporal ET0 pattern analysis by means of the BMA method based on the ensembles of four CGCMs suggested that although the spatial patterns under three scenarios are different in the forthcoming two decades, generally increasing trends can be found in the 21st century, which is mainly attributed to the significant increasing temperature. In addition, the implication of future ET0 change in agriculture and local water resources is discussed as an extension of this work. The results can provide beneficial reference and comprehensive information to understand the impact of climate change on the future water balance and improve the regional strategy for water resource and eco-environment management in the Haihe River Basin. Crown Copyright (C) 2014 Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 15
页数:15
相关论文
共 29 条
  • [1] Statistical downscaling of reference evapotranspiration in Haihe River Basin: applicability assessment and application to future projection
    Xing, Wanqiu
    Wang, Weiguang
    Shao, Quanxi
    Taylor, John
    Ding, Yimin
    Fu, Jianyu
    Feng, Xiaozhou
    [J]. HYDROLOGICAL SCIENCES JOURNAL, 2017, 62 (01) : 15 - 27
  • [2] CMIP6 multi-model ensemble projection of reference evapotranspiration using machine learning algorithms
    Nouri, Milad
    Veysi, Shadman
    [J]. Agricultural Water Management, 2024, 306
  • [3] Projecting future reference evapotranspiration in Iran based on CMIP6 multi-model ensemble
    Modaresi, Fereshteh
    Araghi, Alireza
    [J]. THEORETICAL AND APPLIED CLIMATOLOGY, 2023, 153 (1-2) : 101 - 112
  • [4] Projecting future reference evapotranspiration in Iran based on CMIP6 multi-model ensemble
    Fereshteh Modaresi
    Alireza Araghi
    [J]. Theoretical and Applied Climatology, 2023, 153 : 101 - 112
  • [5] Study of Multi-Model Ensemble High-Resolution Projections of Major Climatic Variables Over the Indus River Basin and Pakistan
    Dars, Ghulam Hussain
    Sattar, Mehran
    Tauseef, Muhammad
    Strong, Courtenay
    Najafi, Muhammad Raza
    [J]. MEHRAN UNIVERSITY RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY, 2021, 40 (01) : 104 - 115
  • [6] Multi-Model Ensemble Machine Learning Approaches to Project Climatic Scenarios in a River Basin in the Pyrenees
    Bilbao-Barrenetxea, Nerea
    Martinez-Espana, Raquel
    Jimeno-Saez, Patricia
    Faria, Sergio Henrique
    Senent-Aparicio, Javier
    [J]. EARTH SYSTEMS AND ENVIRONMENT, 2024,
  • [7] Future Changes in Precipitation Over Northern Europe Based on a Multi-model Ensemble from CMIP6: Focus on Tana River Basin
    Moradian, Sogol
    Haghighi, Ali Torabi
    Asadi, Maryam
    Mirbagheri, Seyed Ahmad
    [J]. WATER RESOURCES MANAGEMENT, 2023, 37 (6-7) : 2447 - 2463
  • [8] Future Changes in Precipitation Over Northern Europe Based on a Multi-model Ensemble from CMIP6: Focus on Tana River Basin
    Sogol Moradian
    Ali Torabi Haghighi
    Maryam Asadi
    Seyed Ahmad Mirbagheri
    [J]. Water Resources Management, 2023, 37 : 2447 - 2463
  • [9] Multi-model ensemble simulation and projection in the climate change in the Mekong River Basin. Part I: temperature
    Huang, Yong
    Wang, Fengyou
    Li, Yi
    Cai, Tijiu
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2014, 186 (11) : 7513 - 7523
  • [10] Multi-model ensemble projection of mean and extreme streamflow of Brahmaputra River Basin under the impact of climate change
    Alam, Sarfaraz
    Ali, Md. Mostafa
    Rahaman, Ahmmed Zulfiqar
    Islam, Zahidul
    [J]. JOURNAL OF WATER AND CLIMATE CHANGE, 2021, 12 (05) : 2026 - 2044