Consideration of Grid Cell Size to Represent Stream Networks for the Conterminous United States

IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
Groundwater Pub Date : 2025-03-24 DOI:10.1111/gwat.13484
Brandon J. Fleming, Kenneth Belitz, Courtney D. Killian
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This commentary focuses only on geometry and does not address other important aspects of modeling stream –aquifer interactions such as small-scale sinuosity (Cardenas <span>2009</span>) or developing sound conceptual hydrogeologic models (Anderson et al. <span>2015</span>).</p><p>The overall approach for assessing accuracy to answer these questions is presented in the methods section, including how the relationship between cell size and stream order is evaluated. The approach is applied to 18 representative surface water basins distributed across CONUS (Van Metre et al. <span>2020</span>). The Delaware River Basin is used to illustrate the approach and for the purposes of discussion.</p><p>A uniform-square grid that accurately represents the geometry of a stream network is one in which contributing areas can be differentiated from streams, such that most of the cells do not contain a stream. 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These 18 river basins were identified as candidates for future intensive monitoring and assessment by the USGS (Van Metre et al. <span>2020</span>) per a ranking scheme that represents the range of physiographic, climatic, and land use characteristics within CONUS. For each river basin, we used the Multi-Order Hydrologic Position (MOHP) dataset (Belitz et al. <span>2019</span>; Moore et al. <span>2019</span>) derived from the NHDPlusV2 stream network (McKay et al. <span>2012</span>) as the basis for investigating the relationship between stream order and grid spacing. The MOHP provides a means for computing the distance of a point on the landscape to the nearest stream (DS) for a given stream order. The MOHP provides CONUS-wide, 30-m resolution metrics of lateral position (LP) and distance from stream to divide (DSD) for Thiessen watersheds (Johnston et al. <span>2009</span>) of stream orders 1-9. For a given stream order, multiplying LP and DSD results in a DS for every 30-m pixel in a watershed. For this analysis, we compute the DS at the 18 representative river basins for stream orders 1-5 (Killian et al. <span>2024</span>). With over 2.7 million stream reaches nationally, the number of reaches in the 18 river basins varies from under 8000 to over 86,000. The 18 river basins range in size from approximately 30,000 to 290,000 km<sup>2</sup>, and therefore, the number of points used to characterize the distance of a point to a stream ranges from approximately 33 million to 326 million.</p><p>The Delaware River Basin is used to illustrate our approach to evaluating stream order and grid spacing. By Equation 1, using a 1-km grid spacing (<i>x</i>), the distance (<i>d</i>) where a 1-km grid cell will contain a stream is 707 m. With 250- and 100-m grid spacing, that distance is 177 and 71 m, respectively. 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引用次数: 0

Abstract

Recent modeling of groundwater at the scale of the Conterminous United States (CONUS) has often relied on relatively large square grid cells (Maxwell et al. 2015; Zell and Sanford 2020). Consequently, features such as streams can become generalized. An important issue, therefore, is the relationship between grid-cell size and representation of the stream network. This technical commentary addresses two questions related to this issue. First, what cell size is required to accurately represent all mapped streams in CONUS (McKay et al. 2012)? Second, given a 1-km cell, what order stream network can be accurately represented? This commentary focuses only on geometry and does not address other important aspects of modeling stream –aquifer interactions such as small-scale sinuosity (Cardenas 2009) or developing sound conceptual hydrogeologic models (Anderson et al. 2015).

The overall approach for assessing accuracy to answer these questions is presented in the methods section, including how the relationship between cell size and stream order is evaluated. The approach is applied to 18 representative surface water basins distributed across CONUS (Van Metre et al. 2020). The Delaware River Basin is used to illustrate the approach and for the purposes of discussion.

A uniform-square grid that accurately represents the geometry of a stream network is one in which contributing areas can be differentiated from streams, such that most of the cells do not contain a stream. A grid where every cell contains one or more streams would not accurately represent the geometry of the network. For the purposes of discussion, the criterion for accurate representation is that streams are in no more than 20% of all cells. A different criterion could be chosen depending on the purpose of a particular study. The graphs presented in this commentary allow for a different criterion.

The question of developing an accurate grid also depends on stream order. Representation of the geometry of a first-order stream network (headwaters) requires a smaller cell size than the representation of higher-order stream networks (large rivers). In this paper, we evaluate stream networks ranging from first through fifth stream orders across the CONUS.

The relationship between grid-cell size and stream network geometry is evaluated in 18 river basins distributed across CONUS (Figure 1; Table 1). These 18 river basins were identified as candidates for future intensive monitoring and assessment by the USGS (Van Metre et al. 2020) per a ranking scheme that represents the range of physiographic, climatic, and land use characteristics within CONUS. For each river basin, we used the Multi-Order Hydrologic Position (MOHP) dataset (Belitz et al. 2019; Moore et al. 2019) derived from the NHDPlusV2 stream network (McKay et al. 2012) as the basis for investigating the relationship between stream order and grid spacing. The MOHP provides a means for computing the distance of a point on the landscape to the nearest stream (DS) for a given stream order. The MOHP provides CONUS-wide, 30-m resolution metrics of lateral position (LP) and distance from stream to divide (DSD) for Thiessen watersheds (Johnston et al. 2009) of stream orders 1-9. For a given stream order, multiplying LP and DSD results in a DS for every 30-m pixel in a watershed. For this analysis, we compute the DS at the 18 representative river basins for stream orders 1-5 (Killian et al. 2024). With over 2.7 million stream reaches nationally, the number of reaches in the 18 river basins varies from under 8000 to over 86,000. The 18 river basins range in size from approximately 30,000 to 290,000 km2, and therefore, the number of points used to characterize the distance of a point to a stream ranges from approximately 33 million to 326 million.

The Delaware River Basin is used to illustrate our approach to evaluating stream order and grid spacing. By Equation 1, using a 1-km grid spacing (x), the distance (d) where a 1-km grid cell will contain a stream is 707 m. With 250- and 100-m grid spacing, that distance is 177 and 71 m, respectively. Figure 2 shows the stream network for the Delaware River Basin, with the blue representing the Basin proportion where a 1-km grid will contain first-, third-, or fifth-order streams.

By computing the cumulative distribution function of DS for a given stream order (Figure 3), we can determine the river basin proportion where 1-km grid cells contain streams. For example, in the Delaware River Basin, the Basin proportion in which 1-km grid cells intersect a stream ranges from 72% for 1st order streams to 6% for 5th order streams (Figure 3; Table 2). In contrast, for 100-m grid discretization, the proportion of grid cells that intersect a stream ranges from 11% for 1st order streams to 2% for 5th order streams (Figure 3; Table 2).

The methods demonstrated on the Delaware River Basin are applied to 18 river basins shown in Figure 1. Cumulative distribution functions for each basin are computed and shown in Figure S2. The proportion of each river basin where 1-km grids contain streams is listed in Table S1, and their distributions are shown in Figure 4a for stream orders 1–5. The median river basin proportion where a 1-km grid contains a first order stream is approximately 70% across the 18 river basins. The median value where 1-km grids contain second order streams is approximately 30%. For third order streams, the median value where 1-km grids contain a stream is less than 20%, with exceptions for river basins with the densest stream networks: Lower Tennessee River, Lower Mississippi—St. Francis River, and San Joaquin River.

Figure 4b and 4c show the river basin proportions where 250- and 100-m grids contain streams for stream orders 1-5. For the 18 river basins across CONUS, the median river basin proportion for 250-m grids (Figure 4b) ranges from 25% for first-order streams to 2% for fifth-order streams. The median river basin proportion where 100-m grids contain first-order streams is about 10%. River basin proportions for combinations of grid spacing (1 km, 250 m, and 100 m) and stream order (1-5) for 18 river basins are in Table S1.

We assessed the accuracy of using grids of various sizes to represent stream networks in 18 representative surface water basins distributed across CONUS. Within each basin, we evaluated the accuracy of three different grid cell sizes: 1 km, 250 m, and 100 m. Within each basin, we evaluated stream networks from order 1 through order 5. As a criterion of accuracy, we assumed that a grid should contain less than 20% stream cells, and based on this criterion, a 1-km grid accurately represents the fourth-order stream network. To accurately represent the first-order stream network, a grid spacing of 100 m or less is required. If a criterion other than 20% was chosen, then the approach presented in this technical commentary could be used to address questions related to accurate grid representation of stream network geometry.

The authors do not have any conflicts of interest or financial disclosures to report. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Abstract Image

考虑用网格单元大小来表示美国周边的流网络。
计算了每个流域的累积分布函数,如图S2所示。表S1列出了每个流域在1公里网格中包含溪流的比例,它们的分布如图4a所示,溪流顺序为1-5。在18个流域中,在1公里网格中包含一级河流的中位流域比例约为70%。1公里网格中包含二阶流的中值约为30%。对于第三级河流,1公里网格中包含一条河流的中位数值小于20%,但具有最密集的河流网络的流域除外:下田纳西河,下密西西比- st。弗朗西斯河和圣华金河。图4b和图4c显示了流域比例,其中250米和100米网格包含溪流顺序1-5的溪流。对于横跨CONUS的18个河流流域,250米网格的流域比例中位数(图4b)从一级河流的25%到五级河流的2%不等。在100米网格中包含一级河流的流域比例中位数约为10%。18个流域网格间距(1 km, 250 m和100 m)组合的流域比例和溪流顺序(1-5)见表S1。我们评估了使用不同大小的网格来表示分布在CONUS的18个代表性地表水流域的河流网络的准确性。在每个流域内,我们评估了三种不同网格单元尺寸的精度:1公里、250米和100米。在每个流域内,我们从顺序1到顺序5评估了河流网络。作为精度标准,我们假设一个网格应该包含少于20%的流单元,基于这个标准,一个1公里的网格准确地表示了四阶流网络。为了准确地表示一阶流网络,需要100米或更小的网格间距。如果选择20%以外的标准,那么本技术评论中提出的方法可用于解决与流网络几何形状的精确网格表示相关的问题。作者没有任何利益冲突或财务披露报告。任何贸易、公司或产品名称的使用仅用于描述目的,并不意味着美国政府的认可。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Groundwater
Groundwater 环境科学-地球科学综合
CiteScore
4.80
自引率
3.80%
发文量
0
审稿时长
12-24 weeks
期刊介绍: Ground Water is the leading international journal focused exclusively on ground water. Since 1963, Ground Water has published a dynamic mix of papers on topics related to ground water including ground water flow and well hydraulics, hydrogeochemistry and contaminant hydrogeology, application of geophysics, groundwater management and policy, and history of ground water hydrology. This is the journal you can count on to bring you the practical applications in ground water hydrology.
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