Multi-decadal variations in annual maximum peak flows in semi-arid and temperate regions of Chile

Pizarro, Roberto; Vera, Mauricio; Valdés, Rodrigo; Helwig, Bridget; Olivares, Claudio

doi:10.1080/02626667.2013.803182

Cited by 5 publications

(3 citation statements)

References 33 publications

(32 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A trend analysis was performed on annual peak river flows between 1975 and 2008 for rivers in the semi-arid (29−32 • S) and temperate (36−38 • S) zone of the Chilean Andes (Pizarro et al, 2014). Negative trends were identified in 87% of the stations in the semi-arid zone while positive trends were found in 57% of the stations in the temperate zone.…”

Section: Extratropical Andesmentioning

confidence: 99%

High Impact Weather Events in the Andes

et al. 2020

View full text Add to dashboard Cite

Owing to the extraordinary latitudinal extent, a strong orographic variability with very high mountain tops, and the presence of deep valleys and steep slopes, the Andes and the population of the region are highly prone and vulnerable to the impacts of a large suite of extreme weather events. Here we provide a review of the most salient events in terms of losses of human and animal lives, economic and monetary losses in costs and damages, and social disruption, namely: (1) extreme precipitation events and related processes (Mesoscale Convective Systems, lightning), (2) cold spells, frosts, and high winds, (3) the impacts of ENSO on extreme hydro-meteorological events, (4) floods, (5) landslides, mudslides, avalanches, and (6) droughts, heat waves and fires. For our purposes, we focus this review on three distinctive regions along the Andes: Northern tropical (north of 8 • S), Southern tropical (8 • S-27 • S) and Extratropical Andes (south of 27 • S). Research gaps are also identified and discussed at the end of this review. It is very likely that climate change will increase the vulnerability of the millions of inhabitants of the Andes, impacting their livelihoods and the sustainable development of the region into the twenty first century amidst urbanization, deforestation, air, soil and water pollution, and land use changes.

show abstract

Section: Extratropical Andesmentioning

confidence: 99%

High Impact Weather Events in the Andes

et al. 2020

View full text Add to dashboard Cite

show abstract

“…This latitudinal range of precipitation results from the winter retreat of the Southern East Pacific Anticyclone (SEPA), which allows stronger low-level frontal systems to enter the continent [73,74]. Additionally, orographic effects can more than double precipitation westerly as they progress towards the Andes [75], which allows Andean rivers to sustain streamflows from snow and glacier melt, especially during summer months [76].…”

Section: Mediterranean-type Ecosystems Of Central Chile and Catchment...mentioning

confidence: 99%

The Large-Scale Effect of Forest Cover on Long-Term Streamflow Variations in Mediterranean Catchments of Central Chile

et al. 2022

Self Cite

View full text Add to dashboard Cite

Forest ecosystems play an important role in surface and subsurface runoff, as well as the availability of water. Therefore, it is important to have a greater understanding of the interactions between forests and the production of water in watersheds. In this sense, this study evaluates the long-term effect of native forests and forest plantations on streamflow variations in central Chile, an unusual climatic area characterized by a well-marked annual cycle with dry summers and wet winters. Thus, the temporal pattern of monthly streamflow was evaluated for mean flow (Qmean), maximum flow (Qmax), and minimum flow (Qmin) in 42 large watersheds. Each series of monthly streamflow data was QA/QC, and then evaluated using the Mann–Kendall’s non-parametric statistical test to detect temporal variations between 1994 and 2015. In addition to the previous analysis, the monthly series were grouped into wet seasons (April–September) and dry seasons (October–April), to determine if there were any significant differences within the annual hydrological cycle. The areas covered with native and forest plantations and their relative changes were evaluated for each catchment through the relationship between streamflow variations and forest cover indicators. Results suggest that streamflow variations are positive and significant when more forest cover exists. The intra-catchment relationships observed during dry seasons for both species revealed the significant role of native forests and mixed masses as key ecosystems for the conservation of long-term streamflow variations in Mediterranean catchments of central Chile. These findings encourage an urgent need to create highland afforestation programs on degraded areas of central Chile, to maximize water storage in a region that is quickly drying out due to unsustainable water and land use management practices and the effects of global warming.

show abstract

“…Recently, the impacts of human activities on the groundwater system have become more pronounced, and also the effects of climate change have become increasingly evident (Miao et al 2013). For effective disaster risk management and adaptation to climate extremes, it is essential to pay more attention to the effects of human activities and extreme climate change on the hydrological cycle (Pizarro et al 2014).…”

Section: Introductionmentioning

confidence: 99%

A statistical model for karst spring discharge estimation under extensive groundwater development and extreme climate change

Zhong

Hao

Huo

et al. 2016

Hydrological Sciences Journal

View full text Add to dashboard Cite

To acquire better understanding of spring discharge under extreme climate change and extensive groundwater pumping, this study proposed an extreme value statistical decomposition model, in which the spring discharge was decomposed into three items: a long-term trend; periodic variation; and random fluctuation. The long-term trend was fitted by an exponential function, and the periodic variation was fitted by an exponential function whose index was the sum of two sine functions. A general extreme value (GEV) model was used to obtain the return level of extreme random fluctuation. Parameters of the non-linear long-term trend and periodic variation were estimated by the Levenberg-Marquardt algorithm, and the GEV model was estimated by the maximum likelihood method. The extreme value statistical decomposition model was applied to Niangziguan Springs, China to forecast spring discharge. We showed that the modelled spring discharge fitted the observed data very well. Niangziguan Springs discharge is likely to continue declining with fluctuation, and the risk of cessation by August 2046 is 1%. The extreme value decomposition model is a robust method for analysing the nonstationary karst spring discharge under conditions of extensive groundwater development/pumping, and extreme climate changes.

show abstract

Multi-decadal variations in annual maximum peak flows in semi-arid and temperate regions of Chile

Cited by 5 publications

References 33 publications

High Impact Weather Events in the Andes

High Impact Weather Events in the Andes

The Large-Scale Effect of Forest Cover on Long-Term Streamflow Variations in Mediterranean Catchments of Central Chile

A statistical model for karst spring discharge estimation under extensive groundwater development and extreme climate change

Contact Info

Product

Resources

About