Mapping Groundwater Recharge Potential in High Latitude Landscapes Using Public Data, Remote Sensing, and Analytic Hierarchy Process

Mapping Groundwater Recharge Potential in High Latitude Landscapes Using Public Data, Remote Sensing, and Analytic Hierarchy Process
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DOI:
10.3390/rs15102630
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发表时间:
2023-05
期刊:
Remote. Sens.
影响因子:
--
通讯作者:
Edgar J. Guerrón-Orejuela;K. C. Rains;Tyelyn M. Brigino;W. Kleindl;S. Landry;P. Spellman;C. Walker;M. Rains
Edgar J. Guerrón-Orejuela;K. C. Rains;Tyelyn M. Brigino;W. Kleindl;S. Landry;P. Spellman;C. Walker;M. Rains
中科院分区:
其他
文献类型:
--
作者:
Edgar J. Guerrón-Orejuela;K. C. Rains;Tyelyn M. Brigino;W. Kleindl;S. Landry;P. Spellman;C. Walker;M. Rains

文献摘要

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了解地下水补给在哪里发生,对于管理地下水资源,特别是保护水源至关重要。在访问和数据可用性有限的偏远山区环境中,这可能尤其困难。通过文献综述,我们基于6个现成的数据集:降水、地质、土壤质地、坡度、排水密度和土地覆盖,绘制了这样一个景观的地下水补给潜力(GWRP)图。我们使用现场观测、社区知识和层次分析过程对GWRP模型中的空间数据集进行排名和加权。我们发现,在降雨量相对较大、地质沉积物粗粒和松散、土壤是沙砾的变体、地形平坦、排水密度低、土地覆盖不发达的地区,GWRP最高。我们使用地理信息系统创建了GWRP地图,确定该地区83%以上的地区具有中等或更高的地下水补给能力。我们使用了两种方法来验证这张地图,并评估其准确率约为87%。这项研究为在这种和其他类似的偏远山区做出明智的地下水管理决策提供了一个重要的工具。
Understanding where groundwater recharge occurs is essential for managing groundwater resources, especially source-water protection. This can be especially difficult in remote mountainous landscapes where access and data availability are limited. We developed a groundwater recharge potential (GWRP) map across such a landscape based on six readily available datasets selected through the literature review: precipitation, geology, soil texture, slope, drainage density, and land cover. We used field observations, community knowledge, and the Analytical Hierarchy Process to rank and weight the spatial datasets within the GWRP model. We found that GWRP is the highest where precipitation is relatively high, geologic deposits are coarse-grained and unconsolidated, soils are variants of sands and gravels, the terrain is flat, drainage density is low, and land cover is undeveloped. We used GIS to create a map of GWRP, determining that over 83% of this region has a moderate or greater capacity for groundwater recharge. We used two methods to validate this map and assessed it as approximately 87% accurate. This study provides an important tool to support informed groundwater management decisions in this and other similar remote mountainous landscapes.