利用马来西亚半岛土壤水分平衡模型估算油棕灌溉和作物需水量

Adesiji, A. Richard, N. Daud, N. Norsyahariati, Evarestus Osita, Jarumi Akila, Hassan Hassan, I. Idoko
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引用次数: 1

摘要

本研究对马来西亚油棕种植区2013年和2014年的灌溉用水进行了估算,以实现有效的灌溉用水管理。研究区分为4个样地:2000年、2002年、2006年和2010年,分别表示泥炭沼泽森林向油棕种植园转变的年份。采用水文模拟系统(HEC-HMS)和土壤水分平衡水文模型对流域降雨径流进行了模拟。采用决定系数(R2)和Nash-Sutcliffe效率系数(NSE)进行统计分析,评价两种水文模型的性能和相关性。结果表明,校准时的R2和NSE分别为0.94和0.90,月度验证时的NSE分别为0.92和0.54。结果表明,该模型能够较好地模拟泥炭地水文。在满足降雨径流模型的基础上,采用相同的土壤水分平衡模型确定研究地块的灌溉需求。2010年和2000年研究区灌溉需水量分别为0.893 ~ 160万立方米。灌溉需求根据土壤水分亏缺、油棕根区可利用水分和油棕根深而不同。建议使用土壤水分平衡模型对未来油棕的需水量进行估计,以供进一步研究,作为油棕管理者的咨询手册,以加强对油棕生产力的充分水资源规划。
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Irrigation and crop water requirement estimation for oil palms using soil moisture balance model in Peninsular Malaysia
This study presents the irrigation and crop water estimation in a Malaysian oil palm plantation for effective irrigation water management during water years 2013 and 2014. The study area was divided into four plots: 2000, 2002, 2006 and 2010, indicating years of peat swamp forest conversion to oil palm plantation. Hydrologic Engineering Centre-Hydrologic Modeling System (HEC-HMS) and Soil moisture balance hydrologic models were used to model the rainfall-runoff in the basin. Statistical analysis using coefficient of determination (R2) and Nash–Sutcliffe efficiency coefficient (NSE) were used to evaluate the performance and correlation of the two hydrologic models. The result showed that R2 and NSE were 0.94 and 0.90 respectively for calibration and 0.92 and 0.54 respectively, for monthly validation. This showed that the models performed well for simulation of the peatland hydrology. With the modelling of rainfall-runoff satisfied, the irrigation demand of the study plots was determined using the same soil moisture balance model. The irrigation demand ranged from 0.893 to 1.6 million cubic meters (MCM) in 2010 and 2000 study plots respectively. Irrigation demand is observed to be site specific which depends on the soil moisture deficit, readily available water in the oil palm root zone and oil palm rooting depth. Estimation of a future oil palm water requirement using the soil moisture balance model would be recommended for further studies for use as an advisory manual for the oil palm managers to enhance adequate water resources planning for oil palm productivity.
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