【摘要】：該文采用單因子評(píng)價(jià)方法對(duì)昌平區(qū)淺層地下水的超標(biāo)因子進(jìn)行篩選,結(jié)合水文地球化學(xué)理論探討各因子超標(biāo)原因,分析淺層地下水水質(zhì)的空間分布特征,并采用BP神經(jīng)網(wǎng)絡(luò)法對(duì)水質(zhì)進(jìn)行綜合評(píng)級(jí)。從綜合評(píng)級(jí)結(jié)果來(lái)看,12眼監(jiān)測(cè)井中1眼為Ⅴ類水質(zhì),5眼為Ⅳ類水質(zhì),6眼為Ⅲ類水質(zhì)。單因子篩選結(jié)果表明,總硬度、總?cè)芙庑怨腆w、氮素、氟化物等為該區(qū)最主要的超標(biāo)因子。經(jīng)分析可知,山前平原地帶淺層地下水中氟化物為原生污染,氮素污染物主要來(lái)源于地表污染物下滲,總硬度和總?cè)芙庑怨腆w的升高主要受地表污染物下滲、氮素的遷移轉(zhuǎn)化等因素的影響。研究可為研究區(qū)地下水管理工作提供可靠數(shù)據(jù)。
[Abstract]:In this paper, the single factor evaluation method is used to screen the surpassing factors of shallow groundwater in Changping area, and the reasons for the surpassing of these factors are discussed in combination with hydrogeochemical theory, and the spatial distribution characteristics of shallow groundwater quality are analyzed. BP neural network was used to evaluate the water quality. According to the comprehensive rating results, one of 12 monitoring wells was of class V water quality, five of them were water quality of class 鈪，

本文編號(hào)：2419295