Begum Shaheen, Adnan Muhammad, McClean Colin J, Cresser Malcolm S
Environmental Sciences Department, Fatima Jinnah Women University, Rawalpindi, 46000, Pakistan.
Department of Botany, Kohat University of Science and Technology, Kohat, 26000, Pakistan.
Environ Monit Assess. 2016 May;188(5):305. doi: 10.1007/s10661-016-5305-4. Epub 2016 Apr 22.
Since mean nitrate concentration along single river channels increases significantly with percent arable land use upstream of sampling points and autumn/early winter flushes in nitrate concentration are widespread, it is generally concluded that farmers contribute most of the nitrate. For the River Derwent in North Yorkshire, the correlation between nitrate concentration and percent arable land use is much poorer when tributary data are included in the equation, because of greater variations in dilution by water draining upland areas and in other N input sources. For the whole river system therefore, percent upland moorland/rough grazing land cover is an appreciably better predictor than percent arable land use for nitrate concentration. Upland land use encompasses the higher precipitation and runoff in such areas, and the subsequent greater dilution downstream of both arable land runoff and effluent from treatment works, as well as an inverse correlation to percent arable land use. This is strongly supported by the observation that, for the Derwent, Meteorological Office rainfall data alone proved even better than percent moorland rough grazing for predicting nitrate concentration. The dilution effect is therefore substantial but highly seasonal; lower runoff and dilution in summer offset the lower leaching losses from arable land, and higher dilution and runoff in winter offset greater nitrate leaching losses from arable soils. Because of this, coupled to improved efficiency of nitrogen fertilizer use, seasonality trends in nitrate concentrations that were pronounced a decade ago now have all but disappeared in the catchment.
由于沿单一河道的平均硝酸盐浓度会随着采样点上游耕地使用比例的增加而显著上升,并且秋季/初冬时硝酸盐浓度的骤升现象很普遍,所以一般认为农民是硝酸盐的主要来源。对于北约克郡的德文特河而言,若将支流数据纳入方程,硝酸盐浓度与耕地使用比例之间的相关性就会差得多,这是因为来自高地地区的排水稀释以及其他氮输入源存在更大的变化。因此,对于整个河流系统而言,高地荒沼/粗放牧场覆盖比例比耕地使用比例更能显著地预测硝酸盐浓度。高地土地利用涵盖了这些地区较高的降水量和径流量,以及随后对下游耕地径流和处理厂废水的更大稀释作用,同时与耕地使用比例呈负相关。这一点得到了如下观测结果的有力支持:就德文特河而言,仅英国气象局的降雨数据在预测硝酸盐浓度方面就比荒沼粗放牧场比例表现得更好。因此,稀释效应很大但具有高度季节性;夏季较低的径流和稀释作用抵消了耕地较低的淋溶损失,而冬季较高的稀释和径流作用则抵消了耕地土壤中更大的硝酸盐淋溶损失。正因如此,再加上氮肥使用效率的提高,十年前明显的硝酸盐浓度季节性趋势如今在该集水区几乎已消失不见。