Juan Saldarriaga

Prof. Juan Saldarriaga

Universidad de Los Andes (Bogotá-Colombia)
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 February 2016 in Nature
Verified
Journal Article
Closed access
PDF file
LPLourens Poorter
Lourens Poorter
FBFrans Bongers
Frans Bongers
TAT. Mitchell Aide
T. Mitchell Aide
Angelica Almeyda ZambranoAngelica Almeyda Zambrano
Angelica Almeyda Zambrano
PBPatricia Balvanera
Patricia Balvanera
DRDanaë M. A. Rozendaal
Danaë M. A. Rozendaal

6 May 2016 in Science Advances
Verified
Journal Article
Open access
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RCRobin Chazdon
Robin Chazdon
Eben BroadbentEben Broadbent
Eben Broadbent
DRDanaë M. A. Rozendaal
Danaë M. A. Rozendaal
FBFrans Bongers
Frans Bongers
Angelica Almeyda ZambranoAngelica Almeyda Zambrano
Angelica Almeyda Zambrano
LPLourens Poorter
Lourens Poorter
Regrowth of tropical secondary forests following complete or nearly complete removal of forest vegetation actively stores carbon in aboveground biomass, partially counterbalancing carbon emissions from deforestation, forest degradation, burning of fossil fuels, and other anthropogenic sources. We estimate the age and spatial extent of lowland second-growth forests in the Latin American tropics and model their potential aboveground carbon accumulation over four decades. Our model shows that, in 2008, second-growth forests (1 to 60 years old) covered 2.4 million km2 of land (28.1% of the total study area). Over 40 years, these lands can potentially accumulate a total aboveground carbon stock of 8.48 Pg C (petagrams of carbon) in aboveground biomass via low-cost natural regeneration or assisted regeneration, corresponding to a total CO2 sequestration of 31.09 Pg CO2. This total is equivalent to carbon emissions from fossil fuel use and industrial processes in all of Latin America and the Caribbean from 1993 to 2014. Ten countries account for 95% of this carbon storage potential, led by Brazil, Colombia, Mexico, and Venezuela. We model future land-use scenarios to guide national carbon mitigation policies. Permitting natural regeneration on 40% of lowland pastures potentially stores an additional 2.0 Pg C over 40 years. Our study provides information and maps to guide national-level forest-based carbon mitigation plans on the basis of estimated rates of natural regeneration and pasture abandonment. Coupled with avoided deforestation and sustainable forest management, natural regeneration of second-growth forests provides a low-cost mechanism that yields a high carbon sequestration potential with multiple benefits for biodiversity and ecosystem services.

1 July 2014 in Journal of Water Resources Planning and Management
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Journal Article
Closed access
AMAngela Marchi
Angela Marchi
Elad SalomonsElad Salomons
Elad Salomons
Avi OstfeldAvi Ostfeld
Avi Ostfeld
ZKZoran Kapelan
Zoran Kapelan
ASAngus R. Simpson
Angus R. Simpson
MAMasoud Asadzadeh
Masoud Asadzadeh
The Battle of the Water Networks II (BWN-II) is the latest of a series of competitions related to the design and operation of water distribution systems (WDSs) undertaken within the Water Distribution Systems Analysis (WDSA) Symposium series. The BWN-II problem specification involved a broadly defined design and operation problem for an existing network that has to be upgraded for increased future demands, and the addition of a new development area. The design decisions involved addition of new and parallel pipes, storage, operational controls for pumps and valves, and sizing of backup power supply. Design criteria involved hydraulic, water quality, reliability, and environmental performance measures. Fourteen teams participated in the Battle and presented their results at the 14th Water Distribution Systems Analysis (WDSA 2012) conference in Adelaide, Australia, September 2012. This paper summarizes the approaches used by the participants and the results they obtained. Given the complexity of the BWN-II problem and the innovative methods required to deal with the multi-objective, high dimensional and computationally demanding nature of the problem, this paper represents a snap-shot of state of the art methods for the design and operation of water distribution systems. A general finding of this paper is that there is benefit in using a combination of heuristic engineering experience and sophisticated optimization algorithms when tackling complex real-world water distribution system design problems.Angela Marchi...Angus R. Simpson, Aaron C. Zecchin, Holger R. Maier...Christopher Stokes, Wenyan Wu, Graeme C. Dandy...et al

1 February 2021 in Water Research
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Journal Article
Closed access
CMCarlos Montes
Carlos Montes
ZKZoran Kapelan
Zoran Kapelan
Juan SaldarriagaJuan Saldarriaga
Juan Saldarriaga

1 September 2016 in Environmental Modelling & Software
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Journal Article
Closed access
Maria CunhaMaria Cunha
Maria Cunha
JZJoao Zeferino
Joao Zeferino
Nuno SimõesNuno Simões
Nuno Simões
Juan SaldarriagaJuan Saldarriaga
Juan Saldarriaga

12 February 2010 in Urban Water Journal
Verified
Journal Article
Closed access
Juan SaldarriagaJuan Saldarriaga
Juan Saldarriaga
SOS. Ochoa
S. Ochoa
MMM. E. Moreno
M. E. Moreno
NRN. Romero
N. Romero
OCO. J. Cortés
O. J. Cortés
This paper presents a new prioritisation approach to the problem of rehabilitation of water distribution systems. It consists in a algorithm that, based on the resilience index and on the unitary power concepts, selects the most important pipes to be replaced in order to achieve two main objectives: first, to reduce loss of water due to leakage by decreasing and levelling pressures along the entire network; second, to reduce the dissipated energy in the system, making it more efficient and reliable. Additionally, the implemented algorithm finds profitable rehabilitation schemes and allows the identification of the appropriate point at which, according to the economic and hydraulic criteria established by the user, the process of replacing pipes should be stopped. This paper includes three case studies – one hypothetical and two real water distribution systems – in which the algorithm was tested. For these networks hydraulically and economically near-optimal rehabilitation schemes were achieved.