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Agricultural land use and its relationship to nutrient levels in four eastern Iowa river systems.

机译:爱荷华州东部四个河系的农业土地利用及其与养分含量的关系。

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Concentrated animal feeding operations (CAFO) and fertilizer application to row crops may contribute to poor water quality in surface waters. To test this hypothesis, we evaluated nutrient concentrations and fluxes in four Eastern Iowa watersheds sampled between 1996 and 2004. We found that these watersheds contribute nearly 10% of annual nitrate flux entering the Gulf of Mexico, while representing only 1.5% of the contributing drainage basin. Mass budget analysis shows stream flow to be a major loss of nitrogen (18% of total N output), second only to crop harvest (80%). The major watershed inputs of nitrogen include applied fertilizer for corn (52% of total N input) and nitrogen fixation by soybeans (25%). Despite the relatively small input from animal manure (∼7.5%), the results of spatial analysis indicate that row crop and CAFO densities are significantly and independently correlated to higher nitrate concentration in streams. Pearson Correlation Coefficients of 0.59 and 0.89 were found between nitrate concentration and row crop and CAFO density, respectively. Multiple linear regression analysis produced a correlation for nitrate concentration with an R2 value of 85%. High spatial density of row crops and CAFOs are linked to the highest river nitrate concentrations (up to 15 mg/l normalized over five years).; We constructed a network model with the capability to predict nitrate concentration and flux for the Cedar, Iowa, Skunk and Wapsipinicon Rivers in eastern Iowa. This model accounts for nitrate flux from agricultural activities, point source emissions and from upstream river sections. We found evidence suggesting that denitrification plays a small but measurable role in estimating river nitrate concentrations. Using our water quality database and network model, we evaluated several mitigation strategies to reduce nitrate concentration below the USEPA limit of 10 mg/l. Eliminating CAFOs from some sub-watersheds, as well as redistributing CAFOs within watersheds, showed promising results. Reducing row crop acreage was not universally successful in reducing nitrate below the 10 mg/l target and reductions in point source emissions had little effect on riverine nitrate concentrations. Our analysis of riparian buffer zones around streams was inconclusive in that statistical correlations and confidence levels.
机译:集中饲养动物的操作(CAFO)和对大田作物施肥可能会导致地表水的水质变差。为了验证这一假设,我们评估了1996年至2004年之间四个爱荷华州东部流域采样的养分浓度和通量。我们发现,这些流域贡献了进入墨西哥湾的年度硝酸盐通量的近10%,而仅占贡献排水量的1.5%盆地。大量预算分析表明,水流是氮的主要损失(占氮总产量的18%),仅次于作物收成(80%)。氮的主要流域投入包括玉米施用的肥料(占总氮输入的52%)和大豆固氮(25%)。尽管来自动物粪便的投入相对较小(约7.5%),但空间分析结果表明,大田作物和CAFO的密度显着且独立地与溪流中较高的硝酸盐浓度相关。硝酸盐浓度与大田作物和CAFO密度之间的皮尔森相关系数分别为0.59和0.89。多元线性回归分析得出硝酸盐浓度的相关性,R2值为85%。大田作物和CAFOs的高空间密度与最高的硝酸盐河浓度有关(五年内最高标准化为15 mg / l)。我们构建了一个网络模型,能够预测爱荷华州东部的雪松河,爱荷华州,臭鼬河和Wapsipinicon河的硝酸盐浓度和通量。该模型考虑了农业活动,点源排放和上游河段的硝酸盐流量。我们发现证据表明,反硝化作用在估算硝酸盐浓度方面起着很小但可测量的作用。使用我们的水质数据库和网络模型,我们评估了几种缓解策略,以将硝酸盐浓度降低至低于USEPA限值10 mg / l。从某些子流域消除CAFO以及在流域内重新分配CAFO均显示出令人鼓舞的结果。减少行间作物的种植面积并不能成功地将硝酸盐含量降低到10 mg / l的目标以下,减少点源排放对河流硝酸盐浓度的影响很小。我们对河流周围河岸缓冲区的分析在统计相关性和置信度方面尚无定论。

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