Tracy A. Campbell, Kevin C. Masarik, Emily Marrs Heineman, Christopher J. Kucharik
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引用次数: 0
Abstract
The Wisconsin Central Sands is home to large scale vegetable production on sandy soils and managed with frequent irrigation, fertigation, and widespread nitrogen fertilizer application, all of which make the region highly susceptible to nitrate loss to groundwater. While the groundwater is used as the primary source of drinking water for many communities and rural residences across the region, it is also used for irrigation. Considering the high levels of nitrate found in the groundwater, it has been proposed that growers more accurately account for the nitrate in their irrigation water as part of nitrogen management plans. Our objectives were to 1) determine the magnitude of nitrate in irrigation water, 2) quantify the spatiotemporal variability of nitrate, and 3) determine key predictors of nitrate concentration in the region. We sampled irrigation water from 38 fields across six farms from 2018 to 2020. Across the 3 years of our study, nitrate concentration varied more across space than time. On average, our samples were tested at 19.0 mg L−1 nitrate-nitrogen, or nearly two times the U.S. Environmental Protection Agency (EPA) threshold for safe drinking water, equivalent to 48.1 kg ha−1 of applied nitrate-nitrogen with 25.4 cm (or 10 in.) of irrigation. To better understand the spatiotemporal variability in nitrate levels, week of sampling, year, well depth, well casing, and nitrogen application rate were analyzed for their role as predictor variables. Based on our linear mixed effects model, nitrogen application rate was the greatest predictor of the nitrate concentration of irrigation water (p < 0.05).
威斯康辛州中央金沙(WCS)是沙质土壤上大规模蔬菜生产的所在地,并通过频繁的灌溉、灌溉和广泛施用氮肥进行管理,所有这些都使该地区极易受到地下水中硝酸盐流失的影响。虽然地下水被用作该地区许多社区和农村居民的主要饮用水来源,但它也被用于灌溉。考虑到地下水中的硝酸盐含量很高,有人建议种植者在氮管理计划中更准确地解释灌溉水中的硝酸盐。我们的目标是1)确定灌溉水中硝酸盐的含量,2)量化硝酸盐的时空变异性,3)确定该地区硝酸盐浓度的关键预测因素。从2018年到2020年,我们对六个农场的38块田地的灌溉水进行了采样。在我们三年的研究中,硝酸盐浓度在空间上的变化大于在时间上的变化。平均而言,我们的样本在19.0 mg L-1的硝酸盐氮下进行测试,这几乎是EPA安全饮用水阈值的两倍,相当于在25.4厘米(或10英寸)的灌溉下施用48.1 kg ha-1的硝酸盐。为了更好地了解硝酸盐水平的时空变化,分析了采样周、年份、井深、套管和施氮率作为预测变量的作用。基于线性混合效应模型,施氮量是灌溉水硝酸盐浓度的最大预测因子(p