简介:
冯松宝,男,1982年生,安徽宣城人,博士,教授,主要从事地质勘查与矿山环境保护相关工作。安徽省教学名师,安徽省线上教学新秀,煤炭行业技能大师,宿州学院优秀教师,宿州学院师德师风先进个人,现任宿州学院资源与土木工程学院副院长。
履历:
2002-2006年就读于安徽理工大学,获工学学士学位;
2006-2009年就读于安徽理工大学,获工学硕士学位;
2009-2012年就读于中国矿业大学(北京),获工学博士学位;
2013-2017年于合肥工业大学从事博士后科研工作;
2012年至今在宿州学院执教,硕士研究生导师(安徽理工大学),宿州学院第三批学术技术带头人后备人选。
教研经历:
主要从事本科生人才培养模式等方面的教学研究工作。主持完成了省级重点教研项目1项,省级一般项目1项,省级实践教育基地项目1项,省级创客实验室项目1项,省级一流课程项目1项,省级教学示范课项目1项,省级示范教研室项目1项,教育部产学研项目1项。在以上项目研究的基础上,获评省级特等教学成果奖1项,省级教学成果一等奖1项,省级教学成果二等奖1项。
科研经历:
近5年主要从事地质勘查和矿山环境保护方面的研究工作。完成了中国博士后基金项目1项,安徽省教育厅自然科学重点项目2项,安徽省教育厅国内访学项目1项,安徽省教育厅拔尖人才项目1项,横向项目10项。
近年来代表性成果:
[1] Feng Songbao.Source apportionment and health risk assessment of heavy metals in groundwater of rural area: a case study in Huaibei plain, China[J]. Human and Ecological Risk Assessment, 2024, 2301522.
[2] Yu hao, Feng Songbao, Qiu huseng. Interaction between the hydrochemical environment, dissolved organic matter, and microbialcommunities in groundwater: A case study of vegetable cultivation area in Huaibei Plain, China[J]. Science of total environmental, 2023, (895): 1-8.
[3] Chen mengyuan, Feng Songbao. Hydrochemical Characteristics and Water Quality Evaluation of Surface Water in Chating Mining Area, Xuancheng, Anhui, China[J]. Polish Journal of Environmental Studies, 2022, (6): 1-10.
[4] Feng Songbao. Relationship between dissolved organic matter and heavy metals in surface water of typical metal mining areas in southern China[J]. Fresenius Environmental Bulletin, 2022,31(11): 11139-11150.
[5] Feng Songbao, Sun linhua. Quality assessment of the ground water from the coal bearing aquifer in the xinji coalfield, anhui province, China[J]. Natural Environment and Pollution Technology, 2020, 19(3): 1295-1301.
[6] Feng, S.B., Sun, L.H.. Pollutions and source approximation of heavy metals in surface soil around the coalmine: a case study in the Wolonghu northern anhui province, China[J]. Fresenius Environmental bulletin, 2018, 11: 7725-7732.
[7] Feng, S.B., Sun,L.H.. Evaluation of environment background value of surface soil by spatial and statistical analyses[J]. Fresenius Environmental bulletin, 2019, 28(9): 6793-6800.