本文選題：改進(jìn)的ArcNLET + 飽和-非飽和氮素運(yùn)移　； 參考：《四川大學(xué)學(xué)報(bào)(工程科學(xué)版)》2016年04期

【摘要】：針對(duì)流域點(diǎn)源氮素對(duì)地表水體污染負(fù)荷的定量計(jì)算問題,基于ArcGIS平臺(tái)改進(jìn)了飽和-非飽和氮素運(yùn)移轉(zhuǎn)化和氮素對(duì)地表水體的負(fù)荷計(jì)算模型ArcNLET,該模型可考慮水流和氮素在土壤中的1維垂向運(yùn)動(dòng)和在地下水中的2維水平運(yùn)動(dòng),計(jì)算從點(diǎn)源排出經(jīng)土壤消減到達(dá)地下水面的硝態(tài)氮和銨態(tài)氮濃度及其在地下水中的濃度分布,并最終計(jì)算氮素對(duì)地表水體的負(fù)荷。將該模型應(yīng)用于美國佛羅里達(dá)州Julington Creek流域點(diǎn)源氮素污染和負(fù)荷計(jì)算,定量分析了當(dāng)?shù)攸c(diǎn)源氮素出流對(duì)地表水體的污染風(fēng)險(xiǎn)。結(jié)果表明:由于地形和土壤性質(zhì)的差異,從點(diǎn)源到達(dá)地下水面的氮素濃度具有很強(qiáng)的空間變異性;該流域氮素進(jìn)入地表水體的負(fù)荷中,銨態(tài)氮比例占26%,說明忽略地下水中銨態(tài)氮會(huì)低估氮素污染風(fēng)險(xiǎn)。該模型各模塊相互獨(dú)立,參數(shù)較少,利用ArcGIS對(duì)輸入數(shù)據(jù)和輸出數(shù)據(jù)進(jìn)行可視化處理,是定量評(píng)估流域點(diǎn)源氮素對(duì)地表水體污染負(fù)荷的有效工具。
[Abstract]:Aiming at the problem of quantitative calculation of surface water pollution load caused by point source nitrogen, Based on the ArcGIS platform, an improved model, ArcNLET, for calculating the transport and transformation of saturated-unsaturated nitrogen and the load of nitrogen to surface water is developed. The model can take into account the vertical motion of water flow and nitrogen in soil and the horizontal movement of nitrogen in groundwater. The concentration and distribution of nitrate nitrogen and ammonium nitrogen in groundwater were calculated by soil subtractive from point source, and the load of nitrogen on surface water was calculated. The model is applied to the calculation of point source nitrogen pollution and load in Julington Creek watershed, Florida, USA. The risk of surface water pollution caused by local point source nitrogen efflux is analyzed quantitatively. The results show that the nitrogen concentration from point source to underground surface has strong spatial variability due to the difference of topographic and soil properties, and nitrogen in the basin is loaded into the surface water body. The ratio of ammonium nitrogen to ammonium nitrogen is 26%, which indicates that ignoring ammonium nitrogen in groundwater will underestimate the risk of nitrogen pollution. Each module of the model is independent of each other and has few parameters. Using ArcGIS to visualize the input and output data is an effective tool to quantitatively evaluate the surface water pollution load caused by point source nitrogen.
【作者單位】： 武漢大學(xué)水資源與水電工程科學(xué)國家重點(diǎn)實(shí)驗(yàn)室;佛羅里達(dá)州立大學(xué)計(jì)算科學(xué)系;中水珠江規(guī)劃勘測(cè)設(shè)計(jì)有限公司;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(51409192) 中國博士后基金面上項(xiàng)目資助(2014M560627)
【分類號(hào)】：X52

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