- -

Linking El Niño Southern Oscillation for early drought detection in tropical climates: The Ecuadorian coast

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Linking El Niño Southern Oscillation for early drought detection in tropical climates: The Ecuadorian coast

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Zambrano Mera, Yeriel Elizabeth es_ES
dc.contributor.author Rivadeneira Vera, Jonny Fernando es_ES
dc.contributor.author Pérez-Martín, Miguel Ángel es_ES
dc.date.accessioned 2018-07-16T06:58:44Z
dc.date.available 2018-07-16T06:58:44Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0048-9697 es_ES
dc.identifier.uri http://hdl.handle.net/10251/105860
dc.description.abstract [EN] El Niño Southern Oscillation (ENSO) is the most determining climate pattern in the tropics of the Pacific coast of America that regulate flood and drought periods. Over the last decades, Ecuador has incurred in significant economic losses due to drought events, around 4% of the GDP, mainly in the agricultural and livestock sectors and the hydropower generation. The use of Drought Indicators and the Early Drought Detection can contribute to reduce the impacts of these events. A drought forecasting system, based on ENSO and Drought Indicators, is presented to determine the possibility of appearance of drought events in Manabí River Basin District (MRBD). This system can help to the decision makers, in December (short-term drought, seasonal) and in May (long-term drought, annual), to activate the drought measures in the following months. Six climate indices are used for ENSO: Oceanic Niño Index (ONI), Southern Oscillation Index (SOI), and Sea Surface Temperature (SST) for Niño regions: 4, 3.4, 3 and 1+2. On the other hand, two drought indices are used: spatially distributed Standardized Precipitation Index (SPI) -1, 3, 6 and 12 months-, and a modified Palmer Drought Severity Index (PDSI), derived from a calibrated water balance model. This system allows early drought detection, assessing SST 1+2 (lag -7), 3 (lag -9) and 3.4 (lag -9) anomalies and drought indices, in December for a season drought and May for an annual drought. These analyses demonstrates that, drought may forecasting up to seven - nine months before their occurrence, through SST regions observations, based on strong relationship between ENSO and droughts occurrence. es_ES
dc.description.sponsorship The authors thank the Secretariat of Higher Education, Science, Technology and Innovation of Ecuador (Secretaria de Educacion Superior, Ciencia, Tecnologia e Innovacion, SENESCYT) for funding this research in the scholarship program: "CONVOCATORIA ABIERTA 2012, 2<SUP>a</SUP> FASE" (contract 323-2012). en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof The Science of The Total Environment es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Early drought detection es_ES
dc.subject Droughts indicators es_ES
dc.subject Drought management es_ES
dc.subject ENSO es_ES
dc.subject Tropical climate es_ES
dc.subject SST Niño regions es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Linking El Niño Southern Oscillation for early drought detection in tropical climates: The Ecuadorian coast es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.scitotenv.2018.06.160 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/SENESCYT//323-2012/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.description.bibliographicCitation Zambrano Mera, YE.; Rivadeneira Vera, JF.; Pérez-Martín, MÁ. (2018). Linking El Niño Southern Oscillation for early drought detection in tropical climates: The Ecuadorian coast. The Science of The Total Environment. 643:193-207. https://doi.org/10.1016/j.scitotenv.2018.06.160 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.scitotenv.2018.06.160 es_ES
dc.description.upvformatpinicio 193 es_ES
dc.description.upvformatpfin 207 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 643 es_ES
dc.relation.pasarela S\364998 es_ES
dc.contributor.funder Secretaría de Educación Superior, Ciencia, Tecnología e Innovación, Ecuador


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem