The Role of Snowmelt on the Spatio-Temporal Variability of Spring Recharge in a Dolomitic Mountain Group, Italian Alps

被引:29
|
作者
Lucianetti, Giorgia [1 ,2 ]
Penna, Daniele [3 ]
Mastrorillo, Lucia [2 ]
Mazza, Roberto [2 ]
机构
[1] Paneveggio Pale San Martino Nat Pk, Villa Welsperg,Local Castelpietra 2, I-38054 Primiero San Martino Cas, Trento, Italy
[2] Univ Roma Tre, Dept Sci, Viale Guglielmo Marconi 446, I-00146 Rome, Italy
[3] Univ Florence, Dept Agr Food Environm & Forestry, Via San Bonaventura 13, I-50145 Florence, Italy
关键词
springs; recharge; isotopes; snowmelt; aquifer; mixing model; Dolomites; CLIMATE-CHANGE; HYDROGRAPH SEPARATION; ISOTOPIC COMPOSITION; STREAMFLOW RESPONSE; GROUNDWATER STORAGE; STABLE-ISOTOPES; TRANSIT-TIME; ALPINE; PRECIPITATION; CATCHMENT;
D O I
10.3390/w12082256
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Springs play a key role in the hydrology of mountain catchments and their water supply has a considerable impact on regional livelihood, biodiversity, tourism, and power generation. However, there is still limited knowledge of how rain and snow contribute to the recharge of Alpine springs. This study presents a four-year investigation of stable isotopes in precipitation and spring water at the scale of a 240 km(2)wide dolomitic massif (Dolomites, Italian Alps) with the aim of determining the proportions of snowmelt and rain in spring water and to provide insights on the variability of these contributions in space and time. Four precipitation sampling devices were installed along a strong elevation gradient (from 725 to 2660 m a.s.l.) and nine major springs were monitored seasonally. The monitoring period comprised three extreme weather conditions, i.e., an exceptional snowpack melting period following the highest snowfall in 30 years, an intense precipitation event (386.4 mm of rain in 48 h), and one of the driest periods ever observed in the region. Isotope-based mixing analysis revealed that rain and snowmelt contributions to spring water were noticeably variable, with two main recharge time windows: a late spring-summer snowmelt recharge period with an average snowmelt fraction in spring water up to 94 +/- 9%, and a late autumn-early winter period with a rain fraction in spring water up to 68 +/- 17%. Overall, during the monitoring period, snowmelt produced high-flow conditions and sustained baseflow more than rain. We argue that the seasonal variability of the snowmelt and rain fractions during the monitoring period reflects the relatively rapid and climate-dependent storage processes occurring in the aquifer. Our results also showed that snowmelt fractions in spring water vary in space around the mountain group as a function of the elevation of their recharge areas. High-altitude recharge areas, above 2500 m a.s.l., are characterized by a predominance of the snowmelt fraction (72% +/- 29%) over the rain contribution. Recharge altitudes of approximately 2400 m a.s.l. also show a snow predominance (65 +/- 31%), while springs recharged below 2000 m a.s.l. are recharged mostly from rain (snowmelt fraction of 46 +/- 26%). Results from this study may be used to develop more accurate water management strategies in mountain catchments and to cope with future climate-change predictions that indicate a decline in the snow volume and duration in Alpine regions.
引用
收藏
页数:26
相关论文
共 50 条
  • [1] Spatio-temporal variability of avalanche risk in the French Alps
    Taline Zgheib
    Florie Giacona
    Anne-Marie Granet-Abisset
    Samuel Morin
    Aurore Lavigne
    Nicolas Eckert
    Regional Environmental Change, 2022, 22
  • [2] Spatio-temporal variability of avalanche risk in the French Alps
    Zgheib, Taline
    Giacona, Florie
    Granet-Abisset, Anne-Marie
    Morin, Samuel
    Lavigne, Aurore
    Eckert, Nicolas
    REGIONAL ENVIRONMENTAL CHANGE, 2022, 22 (01)
  • [3] Spatio-temporal snowmelt variability across the headwaters of the Southern Rocky Mountains
    Fassnacht, S. R.
    Lopez-Moreno, J. I.
    Ma, C.
    Weber, A. N.
    Pfohl, A. K. D.
    Kampf, S. K.
    Kappas, M.
    FRONTIERS OF EARTH SCIENCE, 2017, 11 (03) : 505 - 514
  • [4] Spatio-temporal snowmelt variability across the headwaters of the Southern Rocky Mountains
    S. R. Fassnacht
    J. I. López-Moreno
    C. Ma
    A. N. Weber
    A. K. D. Pfohl
    S. K. Kampf
    M. Kappas
    Frontiers of Earth Science, 2017, 11 : 505 - 514
  • [5] Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms
    Tuoliewubieke, Dilinuer
    Mao, Weiyi
    Yao, Junqiang
    Zhang, Xu
    Li, Shujuan
    Chen, Ping
    Ma, Liyun
    Chen, Jing
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2025, 57
  • [6] Spatio-temporal variability and controlling factors for postglacial denudation rates in the Dora Baltea catchment (western Italian Alps)
    Serra, Elena
    Valla, Pierre G.
    Delunel, Romain
    Gribenski, Natacha
    Christl, Marcus
    Akcar, Naki
    EARTH SURFACE DYNAMICS, 2022, 10 (03) : 493 - 512
  • [7] Satellite Monitoring of Italian Vineyards and Spatio-Temporal Variability Assessment
    Zanchin, Alessandro
    Cogato, Alessia
    Sozzi, Marco
    Tomasi, Diego
    Marinello, Francesco
    AGRIENGINEERING, 2024, 6 (04): : 4107 - 4134
  • [8] Quantification of groundwater recharge and its spatio-temporal variability in the Ganga river basin
    Dharpure, Jaydeo K.
    Goswami, Ajanta
    Patel, Akansha
    Kulkarni, Anil V.
    GEOCARTO INTERNATIONAL, 2022, 37 (18) : 5376 - 5399
  • [9] SPATIO-TEMPORAL VARIABILITY IN ANTARCTIC SNOWMELT BASED ON MICROWAVE RADIOMETER DATA (1978-2017)
    Wang, X. D.
    Wu, Zh. K.
    Li, B.
    Yan, J. P.
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2018, 122 : 46 - 46
  • [10] Spatio-temporal rainfall variability in the Himalayan mountain catchment of the Bagmati River in Nepal
    Tuladhar, Dinesh
    Dewan, Ashraf
    Kuhn, Michael
    Corner, Robert J.
    THEORETICAL AND APPLIED CLIMATOLOGY, 2020, 139 (1-2) : 599 - 614