不同矿化度咸水膜下滴灌棉花土壤盐分累积规律及其数值模拟
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国家自然科学基金-新疆联合基金重点项目(U1803244);兵团科技攻关计划项目(2021AB021);石河子大学科学技术研究项目(CXRC201801,RCZK2018C22,RCZK202026)


Soil salinity accumulation and model simulation of cotton under mulch drip irrigation with different salinity level water
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    摘要:

    咸水膜下滴灌技术是缓解干旱区灌溉水资源短缺的有效途径之一。该研究基于3 a不同梯度矿化度(2、3、4、5、6 g/L)水源膜下滴灌棉花测坑试验,分析棉花全生育期时段内不同土层盐分累积规律,并基于土壤水分及溶质运动理论构建了咸水滴灌棉田土壤盐分HYDRUS-2D数值模拟模型,分析数值模拟不同咸水矿化度下土壤盐分分布与运移累积特征的可行性。结果表明:1)3、4 g/L矿化度处理下盐分在时间水平上积累量少,且棉花株高、叶绿素、籽棉产量高于5、6 g/L矿化度处理,4 g/L为灌溉水源盐分阈值。2)土壤电导率随灌溉生育期整体呈现出逐渐累加的趋势,至吐絮期达到峰值;滴头位置处电导率随土层深度的增加均呈先增后减趋势,在60~70 cm土层达到峰值,该土层各不同矿化度处理土壤电导率分别为3.04、3.18、3.15、3.00、3.12 dS/m;3)盐分累积过程中呈锯齿型波动,灌溉水源矿化度越高累积趋势越显著;各土层盐分累积模拟精度以30 cm土层最高、10 cm土层最低,50 cm土层居中,不同土层实测值与模拟值的平均绝对误差小于等于0.168、平均相对误差小于等于15.321、均方根误差小于0.2、决定系数大于 0.79,土壤盐分实测值与模拟值具有很好的一致性,说明数值模拟的可行性。研究结果可为干旱区不同矿化度水源膜下滴灌棉花土壤盐分运移机理研究提供依据。

    Abstract:

    Mulch drip irrigation has great benefits to save water for high cotton production in Xinjiang, China. Among them, freshwater has widely been used in agricultural irrigation. Highly efficient exploitation and utilization of saltwater resources have been the potential urgent to alleviate the ongoing freshwater shortages. In this study, a three-year growing season field experiment was conducted with different salinity level water irrigation, thereby analyzing the soil salt content within the different soil layers during the whole growth period of cotton. A salinity threshold of cotton was determined under saltwater mulch drip irrigation. An HYDRUS-2D model of soil salt was also built in cotton field under saltwater drip irrigation using the theory of soil water and solute movement. A numerical simulation was conducted for the distribution and accumulation characteristics of soil salt. The experiment was carried out in Shihezi University, China. The base presented an average altitude of 450.8 m and a geographical location of 85°59′47″ E, 44°19′26″ N. Cotton was planted in each plot with the size of 2 m × 2 m× 2 m. The irrigation water was treated with five salinity levels: 2, 3, 4, 5, and 6 g/L. The ratio of chemicals NaHCO3, Na2SO4, NaCl, CaCl2, and MgCl2 were 1:7:8:1:1, according to the composition of local groundwater. The results showed that: 1) The salt accumulated less under 2, 3, and 4 g/L salinity treatments, where the plant height, chlorophyll, and yield of cotton were higher than those under 5 and 6 g/L salinity treatments. Therefore, 4 g/L salinity level was the threshold of irrigation water. 2) The soil salt gradually accumulated with the growth period of irrigationand reached the peak at the opening period. The soil electrical conductivity at the emitter increased at first and then decreased with the peak value in 60-70 cm soil layer, as the soil depth increased. The soil electrical conductivity of different salinity treatments were 3.04, 3.18, 3.15, 3.00, and 3.12 dS/m, respectively. 3) There was a more obvious accumulation trend with the increase in the salinity of irrigation water sources. The simulated salt accumulation was ranked in the order of 30 cm > 50 cm > 10 cm soil layers. There was in good agreement, where the Mean Absolute Error of (MAE)<0.168, Mean Relative Error of (MRE)< 15.321, root mean square error of (RMSE)<0.2, Coefficient of determination R2>0.79 between the measured and simulated values of different soil layers. Therefore, the 4 g/L salinity level was suitable for the mulch drip irrigation of cotton using saline water. The finding can provide promising guidance for further exploitation and utilization of saltwater resources, particularly for the sustainable development of irrigated agriculture in semi-arid and arid areas.

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杨广,李万精,任富天,何新林,王春霞,乔长录,李小龙,雷杰,李发东.不同矿化度咸水膜下滴灌棉花土壤盐分累积规律及其数值模拟[J].农业工程学报,2021,37(19):73-83. DOI:10.11975/j. issn.1002-6819.2021.19.009

Yang Guang, Li Wanjing, Ren Futian, He Xinlin, Wang Chunxia, Qiao Changlu, Li Xiaolong, Lei Jie, Li Fadong. Soil salinity accumulation and model simulation of cotton under mulch drip irrigation with different salinity level water[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2021,37(19):73-83. DOI:10.11975/j. issn.1002-6819.2021.19.009

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  • 收稿日期:2021-03-30
  • 最后修改日期:2021-09-13
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  • 在线发布日期: 2021-11-16
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