水稻灌溉调度研究CROPWAT模式在孟加拉国西部地区的应用

M. Hossain, S. Yesmin, M. Maniruzzaman, J. Biswas
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引用次数: 19

摘要

了解作物需水量对任何特定地区的灌溉计划和种植方式的选择都是必不可少的。采用CROPWAT模型估算了孟加拉国西部地区T. Aman(湿季)和Boro(旱季灌溉)水稻的灌溉需求,并制定了灌溉计划。该地区三个气象站的历史气候数据以及土壤和作物数据被用作粮农组织Penman-Monteith方法的输入,以估计参考蒸散量(ETo)。有效降雨量采用美国农业部土壤保持法计算。模型估计研究区年ETo为1408 mm,其中4月最大,为175 mm, 12月最小,为70 mm。年平均降雨量为1592 mm,其中有利于植物生长发育的降雨量为986 mm。该模型估计BRRI dhan49的ETc值为473 ~ 458mm,取决于其移栽日期为7月15日~ 8月15日。7月15日移栽的水稻不需要灌溉,而8月15日移栽则需要3次补灌,灌溉量为279毫米。CROPWAT模型估计1月15日移植的BRRIdhan28的季节性灌溉需水量为1212 mm(12个溢出应用)。该模型也可用于其他作物的灌溉调度。农学家2017;15 (1) 19-27
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Irrigation Scheduling of Rice ( Oryza sativa L.) Using CROPWAT Model in the Western Region of Bangladesh
Understanding of crop water requirement is essential for irrigation scheduling and selection of cropping pattern in any particular area. A study was conducted to estimate irrigation requirement and made irrigation scheduling of T. Aman (wet season) and Boro (dry season irrigated) rice in the western region of Bangladesh using CROPWAT model. Historical climate data from three weather stations in the region along with soil and crop data were used as input to FAO Penman-Monteith method to estimate reference evapotranspiration (ETo). Effective rainfall was calculated using USDA soil conservation method. The model estimated1408 mm annual ETo in the study area, of which the highest amounts of 175 mm was in April and the lowest (70 mm) in December. The average annual rainfall was 1592 mm of which 986 mm was effective for plant growth and development. The model estimated ETc of BRRI dhan49, which was 473 to 458 mm, depending on its transplanting dates from 15 July to 15 August. Rice transplanted on 15 July required no irrigation, whereas three supplemental irrigations amounting 279 mm were required for transplanting on 15 August. The CROPWAT model estimated seasonal irrigation water requirement of 1212 mm (12 spilt applications) for BRRIdhan28 transplanted on 15 January. This model has also a potentiality to make irrigation scheduling of other crops. The Agriculturists 2017; 15(1) 19-27
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