| 引用本文: | 靳思佳,齐志明,桂东伟,等.预报式灌溉决策支持系统下棉田土壤氮磷的淋失与利用[J].灌溉排水学报,0,():-. |
| jinsijia,qizhiming,guidongwei,et al.预报式灌溉决策支持系统下棉田土壤氮磷的淋失与利用[J].灌溉排水学报,0,():-. |
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| 摘要: |
| 【目的】探究基于根区水质模型（Root Zone Water Quality Model, RZWQM2）预报作物水分胁迫系数的新型灌溉决策支持系统对新疆典型绿洲棉田土壤硝态氮和速效磷的淋失影响。【方法】采用双因素完全随机试验，设置3种灌溉决策方式（预报式灌溉（DSSIS）、墒情灌溉（SMS）、经验灌溉（E））和2个灌溉量水平（100%（FI）与75%（DI）），研究了不同灌溉决策和灌水量对土壤氮磷分布、棉花生物量、氮磷吸收和产量的影响。【结果】1）经验灌溉存在硝态氮淋失问题，预报式灌溉的硝态氮淋失风险大于墒情灌溉。2）灌溉决策的改变不会引起速效磷在各土层的差异分布。3）与E和SMS相比，DSSIS显著提高了28.5%和40.0%的棉花地上部全氮量。4）DSSIS可最大提高33.7%的籽棉产量， 80.7%的水分生产力， 25.2%的氮肥偏生产力和25.6%的磷肥偏生产力。【结论】预报式灌溉决策具有降低硝态氮淋失风险，促进棉花氮吸收，提高籽棉产量，提高水分生产力和氮磷肥偏生产力的综合优势。 |
| 关键词: 预报式灌溉；硝态氮淋失；速效磷淋失; 根区水质模型 |
| DOI： |
| 分类号:S513 |
| 基金项目: |
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| Leaching and Use of Soil Nitrogen and Phosphorus under the Decision Support System for Irrigation Scheduling in Cotton Fiend |
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jinsijia, qizhiming, guidongwei, lixiangyi, zengfanjiang, chenxiaoping
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XINJIANG INSTITUTE OF ECOLOGY AND GEOGRAPHY CHINESE ACADEMY OF SCIENCES
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| Abstract: |
| Abstract: 【Background】Based on water stress predicted by the Root Zone Water Quality Model (RZWQM2), we developed a new irrigation support system for irrigation scheduling, which was constructed and has been tested since 2016 in a cotton field in an oasis in Xinjiang. 【Objective】To investigate the effect of this new irrigation support system on the use and leaching of soil nitrate and available phosphorus (Olsen-P), an experiment on soil nutrient was conducted in 2019, through which the dynamics of NO3-N and Olsen-P under the new irrigation method were compared with two traditional irrigation control methods. 【Method】The experiment was conducted with three irrigation decision-making methods (predictive irrigation (DSSIS), moisture irrigation (SMS), empirical irrigation (E)) and two irrigation levels (100% (FI) and 75% (DI)). All treatments were organized in the two-factor randomized plots in the field. In each treatment, we measured soil NO3-N, soil Olsen-P, cotton biomass, cotton nitrogen and phosphorus content, cotton yield. 【Result】1) E had the problem of NO3-N leaching. The risk of NO3-N leaching of DSSSIS was greater than that of SMS. 2) 2) Changed irrigation decisions will not cause differential distribution of Olsen-P in each soil layer. 3) Compared with E and SMS, DSSIS significantly increased 28.5% and 40.0% of the total nitrogen of the aboveground cotton plants. 4) DSSIS can increased seed cotton yield by 33.7%, water productivity by 80.7%, partial productivity of nitrogen by 25.2% and partial productivity of phosphorus by 25.6%. 【Conclusion】DSSIS reduces the risk of NO3-N leaching and promotes cotton nitrogen uptake, improve seed cotton yield, improve water productivity and partial productivity of nitrogen and phosphorus fertilizer. |
| Key words: Predictive irrigation; NO3-N leaching; Olsen-P leaching; Root Zoon Water Quality Model |
