摘要
利用硝酸盐氮氧双同位素技术和同位素混合模型,对滨州市水体硝酸盐的氮氧同位素组成进行分析,在此基础上进行硝酸盐污染溯源,确定各污染源的贡献率.结果表明:研究区地表水和地下水硝酸盐质量浓度分别为0~168.07、0~336.04 mg·L^(−1),超标率分别为8.70%和27.78%;从河流上游到下游,地表水硝酸盐污染有加重的趋势,地下水硝酸盐污染空间变异性较大.地表水和地下水δ(^(15)N-NO_(3))范围分别为4.02‰~10.10‰、9.07‰~18.75‰,δ(^(18)O-NO_(3))范围分别为2.24‰~6.14‰、4.93‰~10.64‰;有机肥和污水是本地地表水和地下水硝酸盐污染的主要来源,其平均贡献率分别为45%和81%,其次为含氮化肥,分别占26%和17%.通过定量分析地表水及地下水硝酸盐污染来源,可以为本地区制定防治水体污染措施提供科学依据.
The Yellow River Delta area is well developed in both agriculture and industry,but with frequent nitrate pollution in surface water and groundwater.δ(^(15)N)andδ(^(18)O)isotopic tracing of nitrate was used in the present study to identify major pollution sources in Binzhou City.Nitrate concentrations in surface water and groundwater was found to range from 0 to 168.07 and 0 to 336.04 mg·L^(−1),with a over-standard rate of 8.70%and 27.78%,respectively.Surface water nitrate pollution became more serious down the river,nitrate concentrations in groundwater fluctuated greatly as well.δ(^(15)N-NO_(3))was found to range in surface water and groundwater from 4.02‰-10.10‰and 9.07‰-18.75‰,δ(^(18)O-NO_(3))from 2.24‰-6.14‰and 4.93‰-10.64‰,respectively.Manure and septic waste were found to be the major sources of nitrate pollution both in surface water and groundwater,with a contribution rate of 45%and 81%,respectively.Artificial N fertilizer was the second largest source of nitrate pollution in surface water and groundwater,with a contribution rate of 26%and 17%,respectively.These data will be helpful when making policies to prevent nitrate pollution in surface water and groundwater in the Yellow River Delta.
作者
魏守才
刘京涛
†夏江宝
马良
WEI Shoucai;LIU Jingtao;XIA Jiangbao;MA Liang(Shandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta,Binzhou University,256600,Binzhou,Shandong,China;Water Resources Research Institute of Shandong Province,250014,Jinan,Shandong,China)
出处
《北京师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2021年第1期29-35,共7页
Journal of Beijing Normal University(Natural Science)
基金
国家十三五重点研发计划资助课题(2017YFC0505904)
山东省自然科学基金资助项目(ZR2019PC023)
山东水土保持学会重点领域创新项目(2018001)。
