基于长时间序列遥感数据的澎湖列岛地下水潜力填图

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Geoscience Data Journal Pub Date : 2022-09-25 DOI:10.1002/gdj3.173
Zijian Cheng, Huiru Cui, Daqing Wang, Haoli Xu, Yi Wang, Zhao Lu, Xiaoning Zhao, Yue Shi, Xiaoying Lian, Guolin Tao
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引用次数: 1

摘要

岛屿是被海水包围的特殊陆地。随着对地下水需求的增加,许多岛屿正面临缺水问题,这突出了岛屿地下水资源评估、规划和管理的重要性和紧迫性。为此,首次利用遥感(RS)、地理信息系统(GIS)和层次分析法(AHP)对中国澎湖群岛的地下水潜力进行了评估。还进行了长期系列遥感研究,以监测地下水潜力的动态变化,并确定地下水潜力区域。在本研究中,基于RS和GIS的AHP对地质环境因素进行了归一化,并对其权重进行了分配。利用加权综合算法建立的地下水潜力评价指数(GPA),对地下水潜力进行分析,划分地下水潜力区。最后,利用长期系列遥感数据分析了地下水潜力的时空变化趋势。2015年至2021年的结果显示,澎湖群岛可划分为五个不同等级的地下水潜力区,如一级6.3%-8.1%、二级22.2%-24.2%、三级23%-24.4%、四级19.6%-21%和五级25.1%-25.5%。通过将GPA的结果与水文地质图中含水量岩层的丰度进行比较,验证了其结果,相关系数为78.3%-88.9%。总体而言,研究区不同级别的地下水潜力区全年趋于稳定,包括I级和II级。这项研究的结果强调了基于长期系列遥感数据预测地下水潜力的可靠性,以及当地人员在适当的地下水资源规划和管理中的可用性。
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Groundwater potential mapping based on long time series remote sensing data in Penghu Islands, China

Islands are special bodies of land surrounded by seawater. Many islands are facing water shortages as the demand for groundwater increases, thus, highlighting the importance and urgency of the assessment, planning, and management of island groundwater resources. To facilitate the same, the groundwater potential of the Penghu Islands in China was assessed for the first time using remote sensing (RS), geographic information system (GIS), and the analytic hierarchy process (AHP). Long-term series remote sensing studies were also conducted to monitor the dynamic change in groundwater potential and to identify groundwater potential areas. In this study, the geological environment factors were normalized, and their weight was allocated based on the AHP of RS and GIS. The groundwater potential assessment (GPA) index, established using the weighted comprehensive algorithm, was used to analyse groundwater potential and demarcate groundwater potential zones. Finally, the trend in the spatio-temporal variation of groundwater potential was analysed using long-term series remote sensing data. The results from 2015 to 2021 showed that the Penghu Islands can be divided into five groundwater potential zones of different grades, such as 6.3%–8.1% of grade I, 22.2%–24.2% of grade II, 23%–24.4% of grade III, 19.6%–21% of grade IV, and 25.1%–25.5% of grade V. The results of the GPA were verified by comparing them with the abundance of water-content rock formation in hydrogeologic maps, which yielded correlation coefficients of 78.3%–88.9%. Overall, the groundwater potential zones of different grades in the study area tended to be stable all year-round, including the zones of grades I and II. The results of this study highlighted the reliability of predicting groundwater potential based on long-term series remote sensing data and its usability to local personnel in appropriate groundwater resource planning and management.

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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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