Optimizing drain depth and spacing to minimize nitrogen loss in southwest Punjab using DRAINMOD-NII

IF 1.5 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
Mehraj U. Din Dar, J. P. Singh
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引用次数: 0

Abstract

The DRAINMOD-NII model was used to evaluate the water table behavior and nitrate movement using field data from the Thehri experimental field in Muktsar district, southwest Punjab, India. To optimize the drainage design parameters for efficient nitrogen management, a scenario analysis of water table depth, drain outflows, and nitrogen load was carried out for different drain depths and spacings. The rice–wheat cropping system was followed for 2 years, from 2018 to 2020. The conventional subsurface drainage system was installed in the study area. The recorded data consisted of daily drain outflows, water table depths, daily nitrate concentrations in the drain outflows, and relative crop yields. The DRAINMOD-NII model was calibrated and validated for 2018–2019 and 2019–2020, respectively. The model's reliability was assessed by comparing the measured and predicted values of daily drain outflows, water table depth, daily nitrate loads, and relative crop yields during each season. A better agreement was found between the observed and simulated values. Root mean square error, Nash–Sutcliffe model efficiency, R2, and percentage bias values during the calibration period ranged from 1.76 to 7.5; 0.48 to 0.88; 0.70 to 1.00; and −6.04 to 5.02, respectively, for the recorded parameters. A similar statistical evaluation was also performed during the validation period. The scenario analysis of drain depth and spacing concluded that a depth of 1.3 m and spacing of 42 m could be optimal for better crop yield and lesser nitrogen losses. Hence DRAINMOD NII model is a tool for drainage systems design.

Abstract Image

利用 DRAINMOD-NII 优化排水深度和间距,尽量减少旁遮普西南部的氮流失
利用印度旁遮普省西南部穆克扎尔地区 Thehri 试验田的实地数据,采用 DRAINMOD-NII 模型评估了地下水位行为和硝酸盐移动情况。为了优化排水设计参数以实现有效的氮管理,对不同排水深度和间距的地下水位深度、排水流出量和氮负荷进行了情景分析。从 2018 年到 2020 年,对水稻-小麦种植系统进行了为期两年的跟踪研究。研究区域安装了传统的地下排水系统。记录的数据包括每天的排水口出水量、地下水位深度、排水口出水量中每天的硝酸盐浓度以及作物的相对产量。DRAINMOD-NII 模型分别在 2018-2019 年和 2019-2020 年进行了校准和验证。通过比较每个季节的日排水量、地下水位深度、日硝酸盐负荷和作物相对产量的测量值和预测值,评估了模型的可靠性。结果发现,观测值和模拟值之间的一致性较好。校准期间,记录参数的均方根误差、纳什-苏特克利夫模型效率、R2 和偏差百分比值分别为 1.76 至 7.5;0.48 至 0.88;0.70 至 1.00;以及 -6.04 至 5.02。在验证期间也进行了类似的统计评估。对排水沟深度和间距的情景分析得出结论,排水沟深度为 1.3 米,间距为 42 米是提高作物产量和减少氮损失的最佳方案。因此,DRAINMOD NII 模型是排水系统设计的一个工具。
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来源期刊
Clean-soil Air Water
Clean-soil Air Water 环境科学-海洋与淡水生物学
CiteScore
2.80
自引率
5.90%
发文量
88
审稿时长
3.6 months
期刊介绍: CLEAN covers all aspects of Sustainability and Environmental Safety. The journal focuses on organ/human--environment interactions giving interdisciplinary insights on a broad range of topics including air pollution, waste management, the water cycle, and environmental conservation. With a 2019 Journal Impact Factor of 1.603 (Journal Citation Reports (Clarivate Analytics, 2020), the journal publishes an attractive mixture of peer-reviewed scientific reviews, research papers, and short communications. Papers dealing with environmental sustainability issues from such fields as agriculture, biological sciences, energy, food sciences, geography, geology, meteorology, nutrition, soil and water sciences, etc., are welcome.
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