Plataforma de big data para la administración de recursos hídricos en cuencas chilenas

Orlando Saldaña; Ania Cravero; Roberto Espinosa

Plataforma de big data para la administración de recursos hídricos en cuencas chilenas

Translated title of the contribution: Big data platform for the administration of water resources in chilean basins

Orlando Saldaña
, Ania Cravero
, Roberto Espinosa

Universidad de la Frontera

Research output: Contribution to journal › Article › peer-review

Abstract

Over time, the world's water resources have been affected by various factors such as climate change, vegetation change, population growth, increased agriculture, among others. The combination of growing water demand, climate and the hydrological gap prompted decision makers and water managers to seek strategies for effective water resources management. In recent years, Big Data solutions have been proposed for problems of water resources management in general. This paper proposes a Big Data platform to improve decision making by analyzing the variables that influence the state of the water resource in Chile.

Translated title of the contribution	Big data platform for the administration of water resources in chilean basins
Original language	Spanish
Pages (from-to)	13-23
Number of pages	11
Journal	RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Issue number	E15
State	Published - 1 Apr 2018
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Cite this

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title = "Plataforma de big data para la administraci{\'o}n de recursos h{\'i}dricos en cuencas chilenas",

abstract = "Over time, the world's water resources have been affected by various factors such as climate change, vegetation change, population growth, increased agriculture, among others. The combination of growing water demand, climate and the hydrological gap prompted decision makers and water managers to seek strategies for effective water resources management. In recent years, Big Data solutions have been proposed for problems of water resources management in general. This paper proposes a Big Data platform to improve decision making by analyzing the variables that influence the state of the water resource in Chile.",

keywords = "Basin, Big data, Platform, Water resources",

author = "Orlando Salda{\~n}a and Ania Cravero and Roberto Espinosa",

note = "Publisher Copyright: {\textcopyright} AISTI 2016.",

year = "2018",

month = apr,

day = "1",

language = "Spanish",

pages = "13--23",

journal = "RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao",

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TY - JOUR

T1 - Plataforma de big data para la administración de recursos hídricos en cuencas chilenas

AU - Saldaña, Orlando

AU - Cravero, Ania

AU - Espinosa, Roberto

N1 - Publisher Copyright: © AISTI 2016.

PY - 2018/4/1

Y1 - 2018/4/1

N2 - Over time, the world's water resources have been affected by various factors such as climate change, vegetation change, population growth, increased agriculture, among others. The combination of growing water demand, climate and the hydrological gap prompted decision makers and water managers to seek strategies for effective water resources management. In recent years, Big Data solutions have been proposed for problems of water resources management in general. This paper proposes a Big Data platform to improve decision making by analyzing the variables that influence the state of the water resource in Chile.

AB - Over time, the world's water resources have been affected by various factors such as climate change, vegetation change, population growth, increased agriculture, among others. The combination of growing water demand, climate and the hydrological gap prompted decision makers and water managers to seek strategies for effective water resources management. In recent years, Big Data solutions have been proposed for problems of water resources management in general. This paper proposes a Big Data platform to improve decision making by analyzing the variables that influence the state of the water resource in Chile.

KW - Basin

KW - Big data

KW - Platform

KW - Water resources

UR - https://www.scopus.com/pages/publications/85048561379

M3 - Article

AN - SCOPUS:85048561379

SN - 1646-9895

SP - 13

EP - 23

JO - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

JF - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

IS - E15

ER -

Plataforma de big data para la administración de recursos hídricos en cuencas chilenas

Abstract

UN SDGs

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