Vegetation as a driver of shifts in rainfall-runoff relationship: Synthesising hydrological evidence with remote sensing

被引:0
|
作者
Weligamage, Hansini Gardiya [1 ]
Fowler, Keirnan [1 ]
Ryu, Dongryeol [1 ]
Saft, Margarita [1 ]
Peterson, Tim [2 ]
Peel, Murray C. [1 ]
机构
[1] Univ Melbourne, Dept Infrastruct Engn, Melbourne, Australia
[2] Monash Univ, Dept Civil Engn, Melbourne, Australia
基金
澳大利亚研究理事会;
关键词
Multi-year drought; Shift in rainfall-runoff relationship; Vegetation Dynamics; Remotely sensed vegetation indices; MILLENNIUM DROUGHT; MULTIYEAR DROUGHT; NON-STATIONARITY; WATER-BALANCE; CLIMATE; VARIABILITY; ARCHIVE;
D O I
10.1016/j.jhydrol.2024.132389
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Drought-induced hydrological shifts and subsequent non-recovery have been reported globally, including in Australia. These phenomena involve changes in the rainfall-runoff relationship, so a year of given rainfall gives less streamflow than before. Some authors have indicated that vegetation dynamics played a key role in hydrological shifts during Australia's Millennium Drought (MD, 1997-2009), but such interactions are complex and are yet to be fully examined. This study investigates vegetation responses before, during, and after the MD for the same set of catchments in southeast Australia where hydrological shifts and non-recovery have been reported. The characterisation of vegetation behaviour relies on remotely sensed vegetation indices (VIs), namely Normalised Difference Vegetation Index (NDVI), Fraction of Photosynthetically Active Radiation (FPAR), Enhanced Vegetation Index (EVI), and Vegetation Optical Depth (VOD). Despite the severe multi-year drought, in most locations, the results indicate increased or maintained VIs over the entire period spanning pre-drought to post- drought. However, the link with hydrological shifts is nuanced and depends on how data are analysed. Contrary to expectations, an initial analysis (focussing on raw VI values) indicated that VI shifts were not correlated with hydrological shifts. It was only when the data were reanalysed to better account for the meteorological conditions that the expected correlations emerged. Overall, the results suggest that vegetation was able to maintain indices such as greenness and, by extension, actual evapotranspiration, leaving less rainfall for streamflow. More broadly, this approach provides greater insights into how vegetation affects hydrological behaviour through matched catchments during this and other multi-year droughts.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] The use of tracer hydrological time parameters to calibrate baseflow in rainfall-runoff modelling
    Mehlhorn, J
    Leibundgut, C
    INTEGRATED METHODS IN CATCHMENT HYDROLOGY: TRACER, REMOTE SENSING AND NEW HYDROMETRIC TECHNIQUES, 1999, (258): : 119 - 125
  • [32] Modeling rainfall-runoff relationship using multivariate GARCH model
    Modarres, R.
    Ouarda, T. B. M. J.
    JOURNAL OF HYDROLOGY, 2013, 499 : 1 - 18
  • [33] Rainfall-Runoff relationship for streamflow discharge forecasting by ANN modelling
    Areerachakul, Sirilak
    Junsawang, Prem
    2014 WORLD CONGRESS ON SUSTAINABLE TECHNOLOGIES (WCST), 2014, : 27 - 30
  • [34] Modeling of the daily rainfall-runoff relationship with artificial neural network
    Rajurkar, MP
    Kothyari, UC
    Chaube, UC
    JOURNAL OF HYDROLOGY, 2004, 285 (1-4) : 96 - 113
  • [35] Cascaded-ANFIS to simulate nonlinear rainfall-runoff relationship
    Rathnayake, Namal
    Rathnayake, Upaka
    Chathuranika, Imiya
    Dang, Tuan Linh
    Hoshino, Yukinobu
    APPLIED SOFT COMPUTING, 2023, 147
  • [36] Evaluation of remote-sensing-based rainfall products through predictive capability in hydrological runoff modelling
    Stisen, Simon
    Sandholt, Inge
    HYDROLOGICAL PROCESSES, 2010, 24 (07) : 879 - 891
  • [37] Spatiotemporal deep learning rainfall-runoff forecasting combined with remote sensing precipitation products in large scale basins
    Zhu, Shuang
    Wei, Jianan
    Zhang, Hairong
    Xu, Yang
    Qin, Hui
    JOURNAL OF HYDROLOGY, 2023, 616
  • [38] Hydrological control of large hurricane-induced lahars: evidence from rainfall-runoff modeling, seismic and video monitoring
    Capra, Lucia
    Coviello, Velio
    Borselli, Lorenzo
    Marquez-Ramirez, Victor-Hugo
    Arambula-Mendoza, Raul
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2018, 18 (03) : 781 - 794
  • [40] Comparison of Hydrological Platforms in Assessing Rainfall-Runoff Behavior in a Mediterranean Watershed of Northern Morocco
    Aqnouy, Mourad
    Ahmed, Mohamed
    Ayele, Gebiaw T.
    Bouizrou, Ismail
    Bouadila, Abdelmounim
    El Messari, Jamal Eddine Stitou
    WATER, 2023, 15 (03)