吉林大学学报(地球科学版) ›› 2017, Vol. 47 ›› Issue (3): 860-867.doi: 10.13278/j.cnki.jjuese.201703206

• 地质工程与环境工程 • 上一篇    下一篇

基于土地利用类型的大气降水入渗补给量计算

张施跃1, 束龙仓1, 闵星2, 胡慧杰1, 邹志科1   

  1. 1. 河海大学水文水资源学院, 南京 210098;
    2. 南京水利科学研究院, 南京 210029
  • 收稿日期:2016-09-07 出版日期:2017-05-26 发布日期:2017-05-26
  • 通讯作者: 束龙仓(1964),男,教授,博士生导师,主要从事地下水资源评价与管理、地下水与地表水相互作用等方面的研究,E-mail:lcshu@hhu.edu.cn E-mail:lcshu@hhu.edu.cn
  • 作者简介:张施跃(1992-),男,硕士研究生,主要从事地下水资源评价与管理方面的研究,E-mail:591226309@qq.com
  • 基金资助:
    国家自然科学基金项目(41572210)

Calculation of Precipitation Infiltration Recharge Based on Land-Use Type

Zhang Shiyue1, Shu Longcang1, Min Xing2, Hu Huijie1, Zou Zhike1   

  1. 1. College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;
    2. Nanjing Hydraulic Research Institute, Nanjing 210029, China
  • Received:2016-09-07 Online:2017-05-26 Published:2017-05-26
  • Supported by:
    Supported by National Natural Science Foundation of China (41572210)

摘要: 影响大气降水入渗补给量的因素较为复杂,主要有土地利用类型、降水量、包气带厚度及岩性等。随着遥感影像解译技术的发展,人们能更精确地识别空间土地利用类型,从而更精确地计算大气降水入渗补给量,并了解其空间分布。综合考虑这些影响因素,本文提出了一种基于土地利用类型,并结合地理信息系统(GIS)和VBA(visual basic for applications)编程技术的大气降水入渗补给量计算方法(PIRCL)。以广州市广花盆地为例,利用PIRCL法计算得到该地多年平均大气降水入渗补给量为14 369万m3,该结果与水量平衡法计算得到的大气降水入渗补给量结果相近,相对误差约为2.4%;并且,计算得到的大气降水入渗补给量空间分布基本合理。与水量平衡法相比,PIRCL法计算大气降水入渗补给量只需区域遥感数据、区域降水量数据、对应时段地下水位动态变化及区域水文地质参数,不需要计算地下水其他的补给、排泄项,可以省略大量的工作量,且方便编程实现。

关键词: 大气降水入渗补给量, 遥感影像解译, 土地利用类型

Abstract: Factors that affect the recharge from precipitation infiltration into groundwater are complex, mainly land use types, precipitation, the thickness and lithology of aeration zone and so on. With the development of remote sensing image interpretation technology, people can identify the type of land use more accurately, so as to calculate the precipitation infiltration rate more accurately and know its spatial distribution more precisely. With the consideration of all these influencing factors, this paper presents a precipitation infiltration rate calculation method based on land use type, combining with GIS and VBA. The application of the PIRCL method in Guanghua basin shows that the annual average precipitation infiltration rate of this region is about 143.69 million m3. This result is close to the result calculated by using the water balance method, and the relative error is about 2.4%; Moreover, the calculated spatial distribution of precipitation infiltration rate is basically reasonable. Comparing with the water balance calculation method, the calculation of precipitation infiltration rate by the PIRCL method only needs regional remote sensing data, regional precipitation data, dynamic variation of groundwater level and regional hydrogeological parameters in the calculation time period, and you don't need to calculate the other recharge and discharge items of groundwater. It may save a lot of work and is convenient to be implemented by programming.

Key words: recharge from precipitation infiltration, remote sensing image interpretation, land-use type

中图分类号: 

  • TV121.1
[1] 赵雪梅.浅谈大气降水对地下水的补给[J].地下水,2011,33(2):9-10. Zhao Xuemei.Discussion on Recharge of Groundwater by Precipitation[J]. Groundwater,2011,33(2):9-10.
[2] 束龙仓,陶月赞.地下水水文学[M].北京:中国水利水电出版社,2009. Shu Longcang,Tao Yuezan.Groundwater Hydrology[M].Beijing: China Water Conservancy and Hydropower Press,2009.
[3] 李亚峰,李雪峰.降水入渗补给量随地下水埋深变化的实验研究[J].水文,2007,27(5):58-61. Li Yafeng,Li Xuefeng.Study on Precipitation Infiltration Recharge with Groundwater Depth Variation[J]. Journal of Hydrology, 2007, 27(5):58-61.
[4] 肖起模,邹连文,刘江.降水入渗补给系数与地层的相关分析与应用[J].水利学报,1998,29(10):32-35. Xiao Qimo,Zou Lianwen,Liu Jiang.Correlation Analysis and Application of Precipitation Infiltration Coefficient and Stratum Area Weight[J].Shuili Xuebao,1998,29(10):32-35.
[5] 高波,乔雷.临汾市地下水资源量计算[J].山西水利,2007 (4):26-28. Gao Bo,Qiao Lei.Calculation of Groundwater Resources in Linfen City[J]. Shanxi Water Resources,2007 (4):26-28.
[6] 赵军.大庆市水资源综合评价[D].北京:中国地质大学,2007. Zhao Jun.Water Resources Evaluation in Daqing City [D]. Beijing:China University of Geosciences,2007.
[7] 张岩祥.通化—白山地区地下水资源评价及合理开发利用研究[D].长春:吉林大学,2016. Zhang Yanxiang.Research on the Assessment and Reasonable Development of Groundwater Resources in Tonghua-Baishan Region[D].Changchun:Jilin University,2016.
[8] 朱琳,刘畅,李小娟,等.城市扩张下的北京平原区降水入渗补给量变化[J].地球科学:中国地质大学学报,2013,38(5):1065-1072. Zhu Lin,Liu Chang,Li Xiaojuan, et al. Precipitation on Infiltration Change in Beijing Plain in the Context of Urbanization[J].Earth Science: Journal of China University of Geosciences,2013,38(5):1065-1072.
[9] 彭令,徐素宁,彭军还.多源遥感数据支持下区域滑坡灾害风险评价[J].吉林大学学报(地球科学版),2016,46(1):175-186. Peng Ling,Xu Suning,Peng Junhuan.Regional Landslide Risk Assessment Using Multi-Source Remote Sensing Data[J]. Journal of Jilin University(Earth Science Edition),2016,46(1):175-186.
[10] 罗玉峰,郑强,彭世彰,等.基于GIS的区域潜水蒸发计算[J].水利学报,2014,45(1):79-86. Luo Yufeng,Zheng Qiang,Peng Shizhang,et al.Calculating Regional Ground-Water Evapotran Spiration Based on GIS[J]. Shuili Xuebao,2014,45(1):79-86.
[11] 刘雁,刘吉平,盛连喜.吉林省西部湿地土地利用格局变化的多情景模拟[J].吉林大学学报(地球科学版),2016,46(3):865-875. Liu Yan,Liu Jiping,Sheng Lianxi. Scenario Simulation on Changing Pattern of Land Use for Wetland in the West of Jilin Province[J]. Journal of Jilin University(Earth Science Edition),2016,46(3): 865-875.
[12] 张文明,董增川,钱蔚,等.遥感技术在水文水资源领域中的应用研究进展[J].节水灌溉,2007,28(5):24-29. Zhang Wenming,Dong Zengchuan,Qian Wei,et al.Advances in Applications of Remote Sensing Data to Hydrology and Water Resources[J].Water-Saving Irrigation,2007,28(5):24-29.
[13] 傅国斌,刘昌明.遥感技术在水文学中的应用与研究进展[J].水科学进展,2001,12(4):547-559. Fu Guobin,Liu Changming. Advances in Applications of Remote Sensing Data to Hydrology[J]. Aavances in Water Science,2001,12(4):547-559.
[14] 许昆.降水量与地下水补给量的关系分析[J].地下水,2009,26(4):272-274. Xu Kun.Analysis on Relationship Between the Precipitation & Groundwater Replenishment[J].Ground Water,2009,26(4):272-274.
[15] Chang K.基于VBA的Arcobjects编程:面向任务的方法[M].北京:科学出版社,2010. Chang K.Arcobjects Programming Based on Visual Basic for Applications:Task-Oriented Approach[M].Beijing:Science Press,2010.
[16] Luo Y F,Khan S,Peng S Z, et al.Effects of the Discretisation Cell Size on the Output Uncertainty of Regional Groundwater Evapotranspiration Modelling[J].Mathematical and Computer Modelling,2012,56:1-13.
[17] 广州市水务科学研究院.广州市地下水资源调查评价报告[R].广州:广州市水务科学研究院,2012. Guangzhou Water Science Research Institute.Investigation and Evaluation Report of Groundwater Resources in Guangzhou City[R].Guangzhou:Guangzhou Water Science Research Institute,2012.
[18] 王玉丽,马震.应用ENVI软件目视解译TM影像土地利用分类[J].现代测绘,2011,34(1):11-13. Wang Yuli, Ma Zhen.Visual Interpretation TM Image Land Use Classification by Applied the Software of ENVI[J].Modern Surveying and Mapping,2011,34(1):11-13.
[19] 邓书斌.ENVI遥感图像处理方法[M].2版.北京:高等教育出版社,2014. Deng Shubin. ENVI Remote Sensing Image Processing Method[M]. 2nd ed. Beijing: Higher Education Press,2014.
[20] 林坜,雷晓东,杨峰.地下水资源评价方法:水量均衡法的探讨[J].水资源,2011 (2):41-44. Lin Li,Lei Xiaodong,Yang Feng.Discussion on Groundwater Resource Evaluation Method:Water Balance Method[J].Water Recourses,2011 (2):41-44.
[21] 王璐.水均衡法在白杨河勘查区地下水资源计算中的应用[J].地下水,2016,33(5):23-24. Wang Lu.Application of Water-Balance Method in Groundwater Resources Calculation in Baiyang River Investigation Area[J]. Ground Water,2016,33(5):23-24.
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