Quantitative exploration of the innovative trend method for evapotranspiration and its sensitivity to climatic variables: The case study of Southeast Vietnam

被引:0
作者
Ha, Phan Thi [1 ]
Phuong, Dang Nguyen Dong [1 ]
Anh, Hoang Ha [2 ]
Tu, Le Hoang [1 ]
Vuong, Nguyen Dinh [3 ]
Loi, Nguyen Kim [1 ]
机构
[1] Nong Lam Univ Ho Chi Minh City, Res Ctr Climate Change, Ho Chi Minh City, Vietnam
[2] Nong Lam Univ Ho Chi Minh City, Fac Econ, Ho Chi Minh City, Vietnam
[3] Southern Inst Water Resources Res, Ho Chi Minh City, Vietnam
关键词
Evapotranspiration; Sensitivity analysis; Variance-based sensitivity indices; Sobol technique; Improved ITA method; Climate variables; MANN-KENDALL; RIVER-BASIN; PRECIPITATION; VARIABILITY; SEASON;
D O I
10.1007/s12145-023-01176-4
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Understanding the characteristics and correlations between evapotranspiration and climate variables plays a crucial role in determining the probable impact of critical factors on crop water requirements, water resource management, and future planning. This work aims to evaluate the temporal trends of evapotranspiration and its sensitivity to climate variables from 1980 to 2019 in Southeast, Vietnam. The improved Innovative Sen Trend Analysis method was used to identify trends, and the Sobol technique, based on variance-based analysis, allowed for a rapid calculation of sensitivity indices. By estimating the changes in evapotranspiration, the study confirmed different quantitative trends, including a significant increase of 72-135 mm in annual and 12-84 mm in seasonal evapotranspiration. Results also conducted a sensitivity analysis of the historical meteorological quantiles obtained for three climate stations to analyze the sensitivity indices. The sensitivity analysis showed that evapotranspiration is more sensitive to solar radiation, relative humidity, and minimum temperature. The study presents pragmatic approaches for considering the possible interactions between evapotranspiration and climate variables, which may serve as a baseline for sustainable water management in areas with similar climate conditions and adaptation to climate change.
引用
收藏
页码:299 / 314
页数:16
相关论文
共 90 条
  • [1] Spatiotemporal analysis of precipitation variability in annual, seasonal and extreme values over upper Indus River basin
    Ahmad, Ijaz
    Zhang, Fan
    Tayyab, Muhammad
    Anjum, Muhammad Naveed
    Zaman, Muhammad
    Liu, Junguo
    Farid, Hafiz Umar
    Saddique, Qaisar
    [J]. ATMOSPHERIC RESEARCH, 2018, 213 : 346 - 360
  • [2] Alashan S., 2022, COMP SUBSERIES DIFFE
  • [3] Testing and improving type 1 error performance of Sen's innovative trend analysis method
    Alashan, Sadik
    [J]. THEORETICAL AND APPLIED CLIMATOLOGY, 2020, 142 (3-4) : 1015 - 1025
  • [4] An improved version of innovative trend analyses
    Alashan, Sadik
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2018, 11 (03)
  • [5] Ali M., 2004, J BANGLADESH AGRIC U, V2, P313
  • [6] RATIONAL USE OF THE FAO BLANEY-CRIDDLE FORMULA
    ALLEN, RG
    PRUITT, WO
    [J]. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 1986, 112 (02) : 139 - 155
  • [7] Trend Analyses Methodologies in Hydro-meteorological Records
    Almazroui, Mansour
    Sen, Zekai
    [J]. EARTH SYSTEMS AND ENVIRONMENT, 2020, 4 (04) : 713 - 738
  • [8] Ambas V., 2018, EUR GEOSCI UNION, V12, P620
  • [9] Trend Analysis and Identification of the Meteorological Factors Influencing Reference Evapotranspiration
    Aschale, Tagele Mossie
    Peres, David J.
    Gullotta, Aurora
    Sciuto, Guido
    Cancelliere, Antonino
    [J]. WATER, 2023, 15 (03)
  • [10] Batablinle Lamboni, 2021, Proceedings of the International Association of Hydrological Sciences, V384, P283, DOI 10.5194/piahs-384-283-2021