基于综合评价模型的微咸水滴灌设施黄瓜水氮耦合方案优化

曹曼; 马新超; 谭占明; 吴馨舒; 王钰洁; 刘梓煜; 张瑞; 王一帆

曹曼,马新超,谭占明,吴馨舒,王钰洁,刘梓煜,张瑞,王一帆.基于综合评价模型的微咸水滴灌设施黄瓜水氮耦合方案优化[J].干旱地区农业研究,2026,(3):193~201

基于综合评价模型的微咸水滴灌设施黄瓜水氮耦合方案优化

Optimizing water\|nitrogen coupling for greenhouse cucumber under brackish drip irrigation using a comprehensive evaluation model

DOI：10.7606/j.issn.1000-7601.2026.03.18

中文关键词: 设施黄瓜微咸水滴灌品质产量 GRA-TOPSIS耦合回归模型

英文关键词:greenhouse cucumber brackish drip irrigation quality yield GRA-TOPSIS coupling regression model

基金项目:新疆自治区兵团财政科技计划项目（2023AB071）；塔里木大学研究生科研创新项目（TDGRI202329）；第一师阿拉尔市科技计划项目（2024NY04）;塔里木大学校长基金（TDZKSS202346）

作者	单位
曹曼	塔里木大学园艺与林学学院,南疆设施农业兵团重点实验室,新疆阿拉尔 843300
马新超	塔里木大学园艺与林学学院,南疆设施农业兵团重点实验室,新疆阿拉尔 843300
谭占明	塔里木大学园艺与林学学院,南疆设施农业兵团重点实验室,新疆阿拉尔 843300
吴馨舒	塔里木大学园艺与林学学院,南疆设施农业兵团重点实验室,新疆阿拉尔 843300
王钰洁	塔里木大学园艺与林学学院,南疆设施农业兵团重点实验室,新疆阿拉尔 843300
刘梓煜	塔里木大学园艺与林学学院,南疆设施农业兵团重点实验室,新疆阿拉尔 843300
张瑞	塔里木大学园艺与林学学院,南疆设施农业兵团重点实验室,新疆阿拉尔 843300
王一帆	塔里木大学园艺与林学学院,南疆设施农业兵团重点实验室,新疆阿拉尔 843300

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中文摘要:

研究不同微咸水矿化度下水肥制度对黄瓜产量和综合品质的影响，旨为南疆设施黄瓜优质高产提供适宜的水氮盐调控方案。设置微咸水矿化度、灌水水平和施氮量三因素，采用二次饱和D-最优设计（P=3的10点设计）并以淡水灌溉下（矿化度0.7 g·L^-1）常规水肥管理作为对照（CK），测定黄瓜的9个品质指标与产量，解析在不同微咸水矿化度下的水肥制度对黄瓜品质产量的调控效应，采用层次分析法和熵权法以及基于博弈论的组合赋权法计算各指标权重，采用灰色关联度分析法和优劣解距离法对各处理进行评分，建立以微咸水矿化度、灌水水平、施氮量编码值为变量因子、黄瓜品质综合评分值和黄瓜产量为目标函数的二次多项式回归模型。通过对模型解析寻优，微咸水矿化度、灌水水平、施氮量对黄瓜品质综合评分值和黄瓜产量均有显著影响，分别表现为施氮量影响最大、灌水水平次之、微咸水矿化度最小，微咸水矿化度影响最大、施氮量次之、灌水水平最小；微咸水矿化度与灌水水平、微咸水矿化度与施氮量、灌水水平与施氮量对黄瓜品质综合评分值和黄瓜产量存在明显的交互作用。本试验条件下，最佳水氮耦合方案为微咸水矿化度2.00～2.18 g·L^-1、灌水水平(80.70%～92.53%)θ_f、施氮量434.4～580.0 kg·hm^-2。

英文摘要:

This study investigated the effects of water and fertilizer regimes on cucumber yield and overall quality under different salinity levels of brackish water. The objective was to develop water\|nitrogen\|salt regulation strategies suitable for achieving high\|quality, high\|yield greenhouse cucumber production in southern Xinjiang. The salinity of brackish water, irrigation level, and nitrogen application rate were set as three factors, and nitrogen application rate was conducted using a second\|order saturated D-optimal design (10-point design with P=3). Conventional water\|fertilizer management under freshwater irrigation (salinity 0.7 g·L^-1) served as the control (CK). Nine quality indicators and yield were measured to evaluate the regulatory effects of different water\|fertilizer regimes. The weights of each indicator were determined using the analytic hierarchy process, entropy weighting, and a game\|theory\|based combination weighting method. A comprehensive evaluation of treatments was then performed by applying grey relational analysis and the technique for order preference by similarity to an ideal solution. Subsequently, a quadratic polynomial regression model was established, with coded values of salinity, irrigation level, and nitrogen application as independent variables, and the integrated quality score and yield as dependent variables. Model analysis revealed that salinity, irrigation, and nitrogen application all had significant effects on both integrated quality and yield. The quality score was most strongly affected by nitrogen, followed by irrigation, while salinity had the weakest effect. In contrast, yield was primarily influenced by salinity, followed by nitrogen, with irrigation exerting the least influence. Significant interactions were also observed among salinity, irrigation, and nitrogen. Under the experimental conditions, the optimal water\|nitrogen coupling scheme was identified as a brackish water salinity of 2.00-2.18 g·L^-1, an irrigation level of (80.70%-92.53%)θ_f, and a nitrogen application rate of 434.4-580.0 kg·hm^-2.

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