Characteristics of long series data of groundwater quality and level in Kunming basin
-
摘要:
通过对昆明盆地，特别是主城区长序列水质水位监测数据对比分析，采用水文地质法、数据统计法、Piper和Matlab软件建立模型进行水质水位动态特征和变化趋势分析研究。昆明盆地地下化学类型以HCO3-Ca和HCO3-Ca·Mg型为主。孔隙水超标项以Mn、NH
$_4^{+}$ $_3^{-}$ $_4^{+}$ ${\rm{SO}}_4^{2-}$ Abstract:Kunming basin is a representative of karst faulted basin, with a basin bottom area of 846.19 km2 and a fluctuation of 1-82 m averaging at 19 m. With the city development, Kunming has gradually become one of the megacities in China. However, as the center of intensive human settlements and activities, the contradiction between human and land is prominent, and the problems of resources and environment are serious. Since the 1960s, the dynamic monitoring of groundwater in the urban and suburban areas of Kunming has been carried out in a comprehensive and systematic manner. In this study, hydrogeology method, data statistics method, Piper and Matlab software were used to establish models to analyze the dynamic characteristics and change of water quality and water level, based on the comparative analysis of monitoring data of water quality and level in Kunming basin, especially in the main urban area. The main underground chemical types of Kunming basin are HCO3-Ca and HCO3-Ca·Mg. In recent years, with the gradual increase of Na+ + K+ and
${\rm{SO}}_4^{2-} $ $_4^{+}$ ${\rm{NO}}_3^{-}$ $_4^{+}$ ${\rm{SO}}_4^{2-}$ -
Key words:
- groundwater monitoring /
- water quality /
- water level /
- trend analysis /
- Kunming basin
-
-
表 1 昆明市5个主要降落漏斗中心水位统计表
Table 1. Statistics of central water level of 5 main falling funnels in Kunming City
地段名称 黑龙潭 北教场 马街 翠湖 黑林铺 原始水位/m 1 911.44 1 895.24 1 886.68 1 889.61 1 883.21 2002年水位 1 907.33 1 859.46 1 886.29 1 880.69 1 861.24 2021年水位 1 910.897 1 894.04 1 889.038 1 887.24 1 880.852 
下载: 导出CSV
-
[1] 王宇, 张华, 张贵, 王波, 彭淑惠, 何绕生, 周翠琼. 喀斯特断陷盆地环境地质分区及功能[J]. 中国岩溶, 2017, 36(3):283-295.
WANG Yu, ZHANG Hua, ZHANG Gui, WANG Bo, PENG Shuhui, HE Raosheng, ZHOU Cuiqiong. Zoning of environmental geology and functions in karst fault-depression basins[J]. Carsologica Sinica, 2017, 36(3):283-295.
[2] 张华, 王宇, 柴金龙. 滇池流域石漠化特征分析[J]. 中国岩溶, 2011, 30(2):181-186.
ZHANG Hua, WANG Yu, CHAI Jinlong. Analysis on the desert's characteristics in Dianchi watershed[J]. Carsologica Sinica, 2011, 30(2):181-186.
[3] 王宇. 昆明市区地表水与地下水联合调度系统研究[J]. 水资源研究, 1990, 11(4): 9-15.
WANG Yu. Study on the joint regulation system of surface water and groundwater in Kunming City[J]. Water Resource Research, 1990, 11(4): 9-15.
[4] 张华, 王波, 王宇, 张贵, 何绕生, 代旭升, 康晓波, 蓝芙宁. 云南泸西岩溶断陷盆地水循环系统及水资源循环利用方案[J]. 地球学报, 2021, 42(3):313-323.
ZHANG Hua, WANG Bo, WANG Yu, ZHANG Gui, HE Raosheng, DAI Xusheng, KANG Xiaobo, LAN Funing. The water circulation system and water resources recycling plan of the Luxi karst fault-depression basin in Yunnan[J]. Acta Geoscientica Sinica, 2021, 42(3):313-323.
[5] 王宇, 康晓波, 张华, 王燕. 昆明地热田的成因与外延[J]. 中国岩溶, 2016, 35(2): 125-133.
WANG Yu, KANG Xiaobo, ZHANG Hua, WANG Yan. The genesis and extension of Kunming geothermal field[J]. Carsologica Sinica, 2016, 35(2): 125-133.
[6] 叶许春. 近20年来昆明盆地北端孔隙水化学场演变过程及其驱动因素分析[D]. 昆明: 昆明理工大学, 2006.
YE Xuchun. Evolution process and driving factors of pore water chemical field in the northern end of Kunming basin in recent 20 years[D]. Kunming: Kunming University of Technology, 2006.
[7] 叶许春, 张奇, 宋学良, 张子雄. 昆明盆地城市化的孔隙水水质响应[J]. 自然资源学报, 2009, 24(4):640-649.
YE Xuchun, ZHANG Qi, SONG Xueliang, ZHANG Zixiong. Pore water quality response to urbanization in Kunming basin[J]. Journal of Natural Resources, 2009, 24(4):640-649.
[8] 彭淑惠, 王宇, 张贵, 李继红, 李玉辉. 昆明盆地土地利用对岩溶水质的影响[J]. 昆明理工大学学报(自然科学版), 2011, 36(6):1-7, 14.
PENG Shuhui, WANG Yu, ZHANG Gui, LI Jihong, LI Yuhui. Effect of Kunming basin land use on karst water quality[J]. Journal of Kunming University of Science and Technology (Natural Science Edition), 2011, 36(6):1-7, 14.
[9] 姜乃齐, 左小清, 王志红, 游洪, 赵永恒. 基于PS-InSAR和SBAS技术监测昆明市主城区地面沉降[J]. 贵州大学学报(自然科学版), 2020, 37(4):72-78.
JIANG Naiqi, ZUO Xiaoqing, WANG Zhihong, YOU Hong, ZHAO Yongheng. Monitoring land settlement in the main urban area of Kunming based on PS-InSAR and SBAS technology[J]. Journal of Guizhou University (Natural Science Edition), 2020, 37(4):72-78.
[10] 王宇, 何绕生, 刘海峰, 王梓溦, 晏祥省, 双灵, 彭淑惠. 昆明翠湖九龙池泉群断流原因及恢复措施[J]. 中国岩溶, 2014, 33(3):263-271.
WANG Yu, HE Raosheng, LIU Haifeng, WANG Ziwei, YAN Xiangsheng, SHUANG Ling, PENG Shuhui. Drought causes and restoration measures for Jiulongchi spring group within Cuihu lake, Kunming[J]. Carsologica Sinica, 2014, 33(3):263-271.
[11] 李芸, 张楠. 昆明盆地地下水超采区水资源评价[J]. 长江科学院院报, 2017, 34(6):35-38, 44.
LI Yun, ZHANG Nan. Assessment of groundwater overdraft zones in Kunming basin[J]. Journal of Yangtze River Scientific Research Institute, 2017, 34(6):35-38, 44.
[12] 郭艺, 秦大军, 王枫, 甘甫平, 闫柏琨. 基于时间序列分析法的岩溶泉水位预测[J]. 中国岩溶, 2021, 40(4): 689-697.
GUO Yi, QIN Dajun, WANG Feng, GAN Fuping, YAN Baikun. Prediction of karst spring water level based on the time series analysis method[J]. Carsologica Sinica, 2021, 40(4): 689-697.
[13] 殷秀兰, 李圣品. 基于监测数据的全国地下水质动态变化特征[J]. 地质学报, 2021, 95(5): 1356-1365.
YIN Xiulan, LI Shengpin. Research on dynamic characteristics of groundwater quality based on monitoring data in China[J] Acta Geologica Sinica, 2021, 95(5): 1356-1365.
[14] 李圣品, 李文鹏, 殷秀兰, 金爱芳. 全国地下水质分布及变化特征[J]. 水文地质工程地质, 2019, 46(6): 1-8.
LI Shengpin, LI Wenpeng, YIN Xiulan, JIN Aifang. Distribution and evolution characteristics of national groundwater quality from 2013 to 2017[J]. Hydrogeology & Engineering Geology, 2019, 46(6): 1-8.
[15] 王雅茹. 基于Piper三线图的矿井水化学特征分析[J]. 山东煤炭科技, 2019(4):145-147, 150.
WANG Yaru. AnaIysis of chemical characteristics of mine water based on Piper trilinear diagram[J]. Shandong Coal Science and Technology, 2019(4):145-147, 150.
[16] 彭康宁, 张卫, 朱恒华, 周建伟, 万豪杰, 赵骏. 山东招远市地下水水化学特征及水质评价[J]. 安全与环境工程, 2018, 25(4):106-138.
PENG Kangning, ZHANG Wei, ZHU Henghua, ZHOU Jianwei, WAN Haojie, ZHAO Jun. Hydrochemical characteristics and water quality evaluation of groundwater in Zhaoyuan City, Shandong Province[J]. Safety and Environmental Engineering, 2018, 25(4):106-138.
[17] 刘江涛, 蔡五田, 曹月婷, 蔡月梅, 边超, 吕永高, 陈远铭. 沁河冲洪积扇地下水水化学特征及成因分析[J]. 环境科学, 2018, 39(12): 5428-5439.
LIU Jiangtao, CAI Wutian, CAO Yueting, CAI Yuemei, BIAN Chao, LV Yonggao, Chen Yuanming. Hydrochemical characteristics of groundwater and the origin in alluvial-proluvial fan of Qinhe river[J]. Environmental Science, 2018, 39(12): 5428-5439.
[18] 中国地质环境监测院. 中国地质环境监测地下水位年鉴[M]. 北京: 中国大地出版社, 2013-2017.
[19] 苏伟杰. 张家口市内陆平原区20年间地下水位变化趋势分析[J]. 河北建筑工程学院学报, 2015, 33(1): 56-59.
SU Weijie. Analysis on the change trend of groundwater in plain area of the city for 20 years Zhangjiakou inland[J]. Journal of Hebei Institute of Architecture and Engineering, 2015, 33(1): 56-59.
[20] 徐淑波, 徐立荣, 梅泽本. 济南引黄灌区近20年地下水位动态变化及趋势分析[J]. 中国农村水利水电, 2016, (5): 68-71, 76.
XU Shubo, XU Lirong, MEI Zeben. The dynamic change and trend of groundwater level in Jinan yellow river irrigation region more than twenty years[J]. China Rural Water and Hydropower, 2016, (5): 68-71, 76.
[21] 叶许春, 张世涛, 宋学良, 张子雄, 莫美仙, 李长才, 金德山, 和怀中, 孙有国. 昆明盆地浅层地下水氮的分布及污染机理[J]. 水土保持学报, 2007, 21(4):185-188, 200. doi: 10.3321/j.issn:1009-2242.2007.04.043
YE Xuchun, ZHANG Shitao, SONG Xueliang, ZHANG Zixiong, MO Meixian, LI Changcai, JIN Deshan, HE Huaizhong, SUN Youguo. Nitrogen distribution and pollution mechanism of shallow groundwater in Kunming basin[J]. Journal of Soil and Water Conservation, 2007, 21(4):185-188, 200. doi: 10.3321/j.issn:1009-2242.2007.04.043
[22] Harris J H, Silveira R. Large-scale assessments of river health using an index of biotic integrity with low-diversity fish communities[J]. Freshwater Biology, 1999, 41(2):235-252. doi: 10.1046/j.1365-2427.1999.00428.x
[23] 文冬光, 何江涛, 孙继朝. DZ/T0290-2015《地下水水质标准》解读[M]. 北京: 地质出版社, 2016.
-
图(7)
表(1)
计量
- 文章访问数: 956
- PDF下载数: 66
- 施引文献: 0