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Predicting soil salinity in response to different irrigation practices, soil types and rainfall scenarios

机译:根据不同的灌溉方式,土壤类型和降雨情况预测土壤盐分

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摘要

A model was developed to predict rootzone salinity under different irrigation practices on different soil types, with similar rainfall but different monthly distributions. A rootzone daily water and salt balance was performed using eight scenarios: two soil types (coarse textured vs. fine textured), two multi-year series of actual rainfall data and two irrigation practices (surface with fixed number of irrigations and ET-based sprinkler irrigation). All factors influenced the mean electrical conductivity (EC) of the rootzone in the growing season (ECeS): (i) Surface irrigation led to lower ECeS than sprinkler irrigation; (ii) Winter-concentrated rainfall caused lower ECeS than rainfall distributed uniformly throughout the year; and (iii) Coarser-textured soil usually resulted in lower ECeS than the finer textured. The ECeS was related to the total precipitation of the hydrologic year and to the annual leaching fraction (LF) but surprisingly not to the seasonal LF. In most cases, the model predicted lower ECeS than the FAO steady-state approach. Therefore, considering these site-specific features could lead to lower leaching requirements and the safe use of higher salinity water.
机译:建立了一个模型来预测在不同土壤类型,降雨相似但月度分布不同的不同灌溉方式下的根区盐度。使用八个方案进行了根区每日水和盐的平衡:两种土壤类型(粗纹理对细纹理),两个多年系列的实际降雨数据和两种灌溉实践(具有固定灌溉数量的地面和基于ET的洒水器灌溉)。所有因素都会影响生长期根区的平均电导率(ECeS):(i)地面灌溉导致的ECeS低于喷灌; (ii)冬季集中降雨造成的ECeS低于全年均匀分布的降雨; (iii)较粗糙的土壤通常会导致ECeS低于较精细的土壤。 ECeS与水文年的总降水量和年浸出率(LF)有关,但令人惊讶的是与季节LF不相关。在大多数情况下,该模型预测的ECeS低于粮农组织的稳态方法。因此,考虑这些特定地点的功能可能会导致较低的浸出要求和安全使用较高盐度的水。

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