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Predicting future water demand for Long Xuyen Quadrangle under the impact of climate variability

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Long Xuyen Quadrangle is one of the important agricultural areas of the Mekong Delta of Vietnam accounting for 25% of rice production. In recent years, the area faces drought and salinization problems, as part of climate change impact and sea level rise. These are the main causes that led to the crop water deficits for agricultural production. Therefore, this work was conducted to predict crop water requirement (CWR) based on consideration of other related meteorological factors and further redefine the crop planting calendar (CPC) for three main cropping seasons including winter–spring (WS), summer–autumn (SA) and autumn–spring (AS) using the Cropwat crop model based on the current climate conditions and future climate change scenarios. Meteorological data for the baseline period (2006–2016) and future corresponding to timescales 2020s, 2055s and 2090s of Representative Concentration Pathways (RCP)4.5 and RCP8.5 scenarios are used to predict CWR and CPC for the study area. The results showed that WS and SA crops needed more irrigation water than AS crop and the highest irrigation water requirement of the WS and SA crops occurred on developmental stage, while the AW crop appeared on growth, developmental and late stage for the baseline and timescales of RCP4.5 and RCP8.5 scenarios. Calculation results of the shift of CPC indicated that the CWR of the AW crop decreased lowest approximately 6.6–20.6% for timescales of RCP4.5 scenario and 20.6–25.5% for RCP8.5 scenario compared with the baseline.
Czasopismo
Rocznik
Strony
1081--1092
Opis fizyczny
Bibliogr. 52 poz.
Twórcy
autor
  • Sustainable Management of Natural Resources and Environment Research Group, Faculty of Environment and Labour Safety Ton Duc Thang University Ho Chi Minh City Vietnam
autor
  • .VNUHCM-University of Science Ho Chi Minh City Vietnam
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a794e754-54f9-4322-b2f8-ad7cc0b111f8
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