摘要
为了简化地下水化学类型分区的流程,客观地反映地下水化学类型的空间分布特征,基于GIS技术设计了地下水化学类型分区空间分析模型,利用K~++Na~+、Ca~(2+)、Mg~(2+)、HCO_3~-、SO_4~(2-)、Cl~-毫克当量百分数栅格数据,对阴阳离子进行组合排序编码,自动完成水化学类型的识别与空间分区,并使用ArcGIS的ModelBuilder实现了模型构建。以实际样本数据为例对该模型进行了验证,对地下水化学类型分区结果与传统方法进行了对比分析。结果表明,采用空间分析模型进行地下水化学类型分区的方法高效可行,水化学分区整体效果与传统方法基本一致,空间分析模型方法能够更好地反映地下水化学类型的空间演化特征。
This study is carried out to simplify the procedure of regionalization of groundwater hydrochemical type, and to objectively reflect spatial distribution characteristics of groundwater hydrochemical types. Based on the geographic information system(GIS) technology, the spatial analysis model for regionalization of groundwater hydrochemical type is designed and built by ArcGIS ModelBuilder. Using milligrams equivalent percent raster data of K~++Na~+、Ca~(2+)、Mg~(2+)、HCO_3~-、SO_4~(2-) and Cl~-, the combinations and sequence of cations and anions are encoded, and the identification and spatial regiona-lization of groundwater hydrochemical type are automatically completed. The model is validated by measured sample data, and the results of the regionalization of groundwater hydrochemical types are compared with traditional methods. The result shows that the method is efficient and feasible by using spatial analysis model to identify and regionalize the groundwater hydrochemical type, and the overall effect of hydrochemical type regionalization is consistent with that of traditional methods, and the spatial analysis model can better reflect the spatial evolution characteristics of groundwater hydrochemical types.
引文
[1] Qian Hui,Ma Zhiyuan.Hydrogeochemistry[M].Beijing:Geological Publishing House,2005(钱会,马致远.水文地球化学[M].北京:地质出版社,2005)
[2] Stephen U N,Celestine O O,Solomon O O.Analysis of Hydrogeochemical Facies in Groundwater of Upper Part of Cross River Basin,Southeastern Nigeria[J].Journal of African Earth Sciences,2017,131:145-155
[3] Bonotto D M.Hydrogeochemical Study of Spas Groundwaters from Southeast Brazil[J].Journal of Geochemical Exploration,2016,169:60-72
[4] Castro R P,Avila J P,Ye M,et al.Groundwater Quality:Analysis of Its Temporal and Spatial Variability in a Karst Aquifer[J].Groundwater,2018,56(1):62-72
[5] Mir A,Piri J,Kisi O.Spatial Monitoring and Zoning Water Quality of Sistan River in the Wet and Dry Years Using GIS and Geostatistics[J].Computers and Electronics in Agriculture,2017,135:38-50
[6] Ma Lei,Qian Jiazhong,Zhao Weidong.GIS-Based Approaches for Spatially Dividing Groundwater Chemical Types[J].Journal of China Coal Society,2012,37(3):490-494(马雷,钱家忠,赵卫东.基于GIS的地下水化学类型空间分区方法[J].煤炭学报,2012,37(3):490-494)
[7] Wang Bangsong,Zhang Jixian,Lu Lijun,et al.A Space-Borne InSAR Image Registration Aided by a Voronoi Diagram[J].Geomatics and Information Science of Wuhan University,2016,41(10):1 339-1 343(王邦松,张继贤,卢丽君,等.利用Voronoi图辅助星载干涉雷达配准[J].武汉大学学报·信息科学版,2016,41(10):1 339-1 343)
[8] Li J,Konietzky H,Fruhwirt T.Voronoi-Based DEM Simulation Approach for Sandstone Considering Grain Structure and Pore Size[J].Rock Mechanics and Rock Engineering,2017,50(10):2 749-2 761
[9] Durgut I,Reed M.Modeling Spreading of Oil Slicks Based on Random Walk Methods and Voronoi Diagrams[J].Marine Pollution Bulletin,2017,118(1-2):93-100
[10] Guo Gaoxuan,Zhu Lin,Shen Yuanyuan,et al.Regional Groundwater Concentration Mapping and Quality Assessment Based on ArcGIS[J].Yellow River,2014,36(3):43-45(郭高轩,朱琳,沈媛媛,等.基于ArcGIS的地下水浓度场绘制及质量评价[J].人民黄河,2014,36(3):43-45)
[11] Darwishe H,El Khattabi J,Chaaban F,et al.Prediction and Control of Nitrate Concentrations in Groundwater by Implementing a Model Based on GIS and Artificial Neural Networks (ANN)[J].Environmental Earth Sciences,2017,76(19):649
[12] Zhang Xiaoxiang.Spatial Analysis in the Era of Big Data[J].Geomatics and Information Science of Wuhan University,2014,39(6):655-659(张晓祥.大数据时代的空间分析[J].武汉大学学报·信息科学版,2014,39(6):655-659)
[13] Li Y K.Determining Topographic Shielding from Digital Elevation Models for Cosmogenic Nuclide Analysis:A GIS Model for Discrete Sample Sites[J].Journal of Mountain Science,2018,15(5):939-947
[14] Tischler M A.Accelerating Geospatial Modeling in ArcGIS with Graphical Processor Units[J].International Journal of Applied Geospatial Research,2016,7(4):41-52
[15] Alonso G,Hagen G.Geo-Opera:Workflow Concepts for Spatial Processes[C]// Proceedings of Advances in Spatial Databases.Berlin,Heidellberg,New York:Springer Verlag,1995:238-257
[16] Fang Fang,Xu Shiwu,Wan Bo.Research Progress on GIS Spatial Analysis Modeling[J].Science of Surveying and Mapping,2010,35(6):137-163(方芳,徐世武,万波.GIS空间分析建模技术研究进展[J].测绘科学,2010,35( 6):137-163)
[17] Tang Guoan.ArcGIS Geographic Information System Spatial Analysis Experiment Course[M].Beijing:Science Press,2011(汤国安.ArcGIS地理信息系统空间分析实验教程[M].北京:科学出版社,2011)
[18] Xu Bin.Groundwater Environment Evolution Analysis System Based on Spatial Analysis and Modeling[D].Xi’an:Chang’an University,2015(徐斌.基于空间分析建模的地下水环境演化分析系统[D].西安:长安大学,2015)
[19] Qu Wei,Wang Yunsheng,Xu Chao,et al.Tectonic Stress Field of the Weihe Basin Using the Finite Element Method[J].Geomatics and Information Science of Wuhan University,2017,42(12):1 749-1 755(瞿伟,王运生,徐超,等.渭河盆地构造应力场有限元数值模拟[J].武汉大学学报·信息科学版,2017,42(12):1 749-1 755)
[20] Yang Hai,Wang Chuanhai,Ma Tengfei,et al.Application in Accuracy Assessment for DEM Interpolation Methods Based on a Variance-Scale Law[J].Geomatics and Information Science of Wuhan University,2016,41(12):1 605-1 612(杨海,王船海,马腾飞,等.方差-尺度规律在DEM插值方法评价中的应用[J].武汉大学学报·信息科学版,2016,41(12):1 605-1 612)
