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IDENTIFYING HIGH RISK AREAS OF N LEACHING IN THE SALT LAKE VALLEY, UTAH, USA

机译:确定美国犹他州盐湖谷N淋洗的高风险区域

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nitrate (NO3-N) leaching,may pose a hazard to groundwater quality.This research utilized a Geographic Information System (GIS) approach to estimate NO3-N leaching mass from urban turf areas based on a one-dimensional N leaching model and to classify the NO3-N leaching risk in the Salt Lake Valley,Utah,USA,based on soil texture.The methodology integrated a calibrated and verified Hydrus-1D N model,soil textures and urban turf areas to predict NO3-N leaching to groundwater.Thirty United States Geological Survey (USGS) residential wells were installed and sampled in 1999 for NO3- N concentration.A relationship between estimated NO3-N leaching from urban landscapes and groundwater NO3-N concentration was developed to determine the effect of soil texture and landscaped area on NO3-N leaching from urban landscapes.The GIS approach was used to estimate the NO3- N leaching risk to groundwater under efficient irrigation and fertilization scenarios and over-irrigation and overfertilization scenarios.The results showed that soil texture played a role in NO3-N leaching from urban landscapes to groundwater,and shallow groundwater was more susceptible to surface contamination compared to deep groundwater.The GIS technique identified areas where improved irrigation and fertilization management could reduce landscape NO3-N leaching significantly,resulting in fewer NO3-N leaching risk areas in the Salt Lake Valley,Utah,USA.
机译:硝酸盐(NO3-N)的淋溶,可能会对地下水水质造成危害。本研究利用地理信息系统(GIS)方法,基于一维氮淋溶模型,估算了城市草坪区域的NO3-N淋溶质量,并进行了分类。该方法结合了经过校准和验证的Hydrus-1D N模型,土壤质地和城市草皮区域,以预测NO3-N淋溶到地下水中的情况。该方法结合了经过校准和验证的Hydrus-1D N模型,土壤质地和城市草皮区域。 1999年安装并采样了美国地质调查局(USGS)居民井中的NO3-N浓度,研究了估计的城市景观中NO3-N淋失与地下水NO3-N浓度之间的关系,以确定土壤质地和景观区域的影响在有效灌溉和施肥的情况下,以及过度灌溉和过度施肥的情况下,采用GIS方法估算地下水中NO3-N的淋溶风险。结果表明,土壤质地在从城市景观到地下水的NO3-N淋洗中发挥了作用,与深层地下水相比,浅层地下水更易受到表面污染的影响.GIS技术确定了改善灌溉和施肥管理可以减少景观的区域NO3-N淋洗明显,导致美国犹他州盐湖谷的NO3-N淋洗危险区域减少。

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