http://wiki.geodynamics.umaine.edu/api.php?action=feedcontributions&feedformat=atom&user=Bvandam 2026-10-22T16:22:52Z User contributions MediaWiki 1.30.0 http://wiki.geodynamics.umaine.edu/index.php?title=File:MWC18_MicrotopographyStorage.pdf&diff=1169 2018-04-04T20:05:38Z

<p>Bvandam: </p> <hr /> <div>'''&quot;Upland Microtopography and Implications to Surface Water Detention in Maine&quot;'''<br /> <br /> '''Authors''': Bea Van Dam&lt;sup&gt;1&lt;/sup&gt;, Sean Smith&lt;sup&gt;1,3&lt;/sup&gt;, Kate Beard&lt;sup&gt;2,3&lt;/sup&gt;<br /> <br /> 1: University of Maine, School of Earth and Climate Sciences<br /> 2: University of Maine, School of Computing and Information Science <br /> 3: Senator George J. Mitchell Center for Sustainability Solutions<br /> <br /> ''Poster presented at 2018 Maine Sustainability and Water Conference, March 29, 2018''</div>

Bvandam http://wiki.geodynamics.umaine.edu/index.php?title=Microtopography_and_Surface_Water_Detention&diff=1168 2018-04-04T20:03:48Z

<p>Bvandam: </p> <hr /> <div>&lt;big&gt;'''Upland Microtopography and Implications to Surface Water Detention in Maine'''&lt;/big&gt;<br /> <br /> '''Abstract:''' A notable characteristic of Maine’s forested landscape is the microtopography caused by a combination of factors related to surficial geology and tree fall. These features are often on the scale of single meters wide and decimeters to a meter in depth, appearing as “puddles” in the landscape during intense or high magnitude precipitation events. The surface water detention provided by the depressions can be substantial at the scale of a watershed and measurably affect runoff rates in low order streams. Generalized ranges for surface water storage capacity have been summarized in textbooks for varied landscape conditions, but little is known about how microtopography and related detention varies in Maine’s dominant physiographic settings defined by slope, surficial geology, and land cover conditions. With the increasing availability of high resolution elevation data, it has become possible to remotely evaluate the extent of these depressions and quantify the total upland storage capacity they may represent.<br /> <br /> In this poster we describe and quantify microtopography in several Maine settings using measurements of hillslope terrain ruggedness and depression volume. We then relate the distribution of microtopography to variations in landform and land use conditions. The implications of spatial and temporal patterns of storage to runoff generation and habitat are then considered. For our analysis, we use LiDAR data in several Maine watersheds: Webhannet River in Wells; Darling Marine Center campus in Walpole; two streams on Marsh Island in Orono; Cromwell Brook on Mount Desert Island; and our sole inland watershed on Lead Mountain in East Hancock.<br /> <br /> &lt;gallery heights=600px widths=800px&gt;<br /> Image:MWC18 MicrotopographyStorage png.png|Poster presented at 2018 Maine Sustainability and Water Conference, 29 March 2018|link=[[File:MWC18_MicrotopographyStorage.pdf]]<br /> &lt;/gallery&gt;</div>

Bvandam http://wiki.geodynamics.umaine.edu/index.php?title=Microtopography_and_Surface_Water_Detention&diff=1159 2018-04-04T19:44:57Z

<p>Bvandam: Added poster caption</p> <hr /> <div>==Upland Microtopography and Implications to Surface Water Detention in Maine==<br /> '''Abstract:''' A notable characteristic of Maine’s forested landscape is the microtopography caused by a combination of factors related to surficial geology and tree fall. These features are often on the scale of single meters wide and decimeters to a meter in depth, appearing as “puddles” in the landscape during intense or high magnitude precipitation events. The surface water detention provided by the depressions can be substantial at the scale of a watershed and measurably affect runoff rates in low order streams. Generalized ranges for surface water storage capacity have been summarized in textbooks for varied landscape conditions, but little is known about how microtopography and related detention varies in Maine’s dominant physiographic settings defined by slope, surficial geology, and land cover conditions. With the increasing availability of high resolution elevation data, it has become possible to remotely evaluate the extent of these depressions and quantify the total upland storage capacity they may represent.<br /> <br /> In this poster we describe and quantify microtopography in several Maine settings using measurements of hillslope terrain ruggedness and depression volume. We then relate the distribution of microtopography to variations in landform and land use conditions. The implications of spatial and temporal patterns of storage to runoff generation and habitat are then considered. For our analysis, we use LiDAR data in several Maine watersheds: Webhannet River in Wells; Darling Marine Center campus in Walpole; two streams on Marsh Island in Orono; Cromwell Brook on Mount Desert Island; and our sole inland watershed on Lead Mountain in East Hancock.<br /> <br /> &lt;gallery heights=600px widths=800px&gt;<br /> Image:MWC18 MicrotopographyStorage png.png|Poster presented at 2018 Maine Sustainability and Water Conference, 29 March 2018|link=[[File:MWC18_MicrotopographyStorage.pdf]]<br /> &lt;/gallery&gt;</div>

Bvandam http://wiki.geodynamics.umaine.edu/index.php?title=Microtopography_and_Surface_Water_Detention&diff=1158 2018-04-04T19:39:18Z

<p>Bvandam: Changed MWC18 poster from embedded pdf to gallery png with link to pdf File page</p> <hr /> <div>==Upland Microtopography and Implications to Surface Water Detention in Maine==<br /> '''Abstract:''' A notable characteristic of Maine’s forested landscape is the microtopography caused by a combination of factors related to surficial geology and tree fall. These features are often on the scale of single meters wide and decimeters to a meter in depth, appearing as “puddles” in the landscape during intense or high magnitude precipitation events. The surface water detention provided by the depressions can be substantial at the scale of a watershed and measurably affect runoff rates in low order streams. Generalized ranges for surface water storage capacity have been summarized in textbooks for varied landscape conditions, but little is known about how microtopography and related detention varies in Maine’s dominant physiographic settings defined by slope, surficial geology, and land cover conditions. With the increasing availability of high resolution elevation data, it has become possible to remotely evaluate the extent of these depressions and quantify the total upland storage capacity they may represent.<br /> <br /> In this poster we describe and quantify microtopography in several Maine settings using measurements of hillslope terrain ruggedness and depression volume. We then relate the distribution of microtopography to variations in landform and land use conditions. The implications of spatial and temporal patterns of storage to runoff generation and habitat are then considered. For our analysis, we use LiDAR data in several Maine watersheds: Webhannet River in Wells; Darling Marine Center campus in Walpole; two streams on Marsh Island in Orono; Cromwell Brook on Mount Desert Island; and our sole inland watershed on Lead Mountain in East Hancock.<br /> <br /> &lt;gallery heights=600px widths=800px&gt;<br /> Image:MWC18 MicrotopographyStorage png.png|link=[[File:MWC18_MicrotopographyStorage.pdf]]<br /> &lt;/gallery&gt;</div>

Bvandam http://wiki.geodynamics.umaine.edu/index.php?title=File:MWC18_MicrotopographyStorage.pdf&diff=1154 2018-04-04T19:33:38Z

<p>Bvandam: </p> <hr /> <div>&quot;Upland Microtopography and Implications to Surface Water Detention in Maine&quot;&lt;br&gt;<br /> Authors: Bea Van Dam, Sean Smith, Kate Beard&lt;br&gt;<br /> Poster presented at 2018 Maine Sustainability and Water Conference, March 29, 2018</div>

Bvandam http://wiki.geodynamics.umaine.edu/index.php?title=File:MWC18_MicrotopographyStorage_png.png&diff=1141 2018-04-04T19:08:56Z

<p>Bvandam: </p> <hr /> <div>&quot;Upland Microtopography and Implications to Surface Water Detention in Maine&quot; <br /> Authors: Bea Van Dam, Sean Smith, Kate Beard <br /> Poster presented at 2018 Maine Sustainability and Water Conference, March 29, 2018</div>

Bvandam http://wiki.geodynamics.umaine.edu/index.php?title=Microtopography_and_Surface_Water_Detention&diff=1135 2018-04-04T18:56:33Z

<p>Bvandam: </p> <hr /> <div>==Upland Microtopography and Implications to Surface Water Detention in Maine==<br /> '''Abstract:''' A notable characteristic of Maine’s forested landscape is the microtopography caused by a combination of factors related to surficial geology and tree fall. These features are often on the scale of single meters wide and decimeters to a meter in depth, appearing as “puddles” in the landscape during intense or high magnitude precipitation events. The surface water detention provided by the depressions can be substantial at the scale of a watershed and measurably affect runoff rates in low order streams. Generalized ranges for surface water storage capacity have been summarized in textbooks for varied landscape conditions, but little is known about how microtopography and related detention varies in Maine’s dominant physiographic settings defined by slope, surficial geology, and land cover conditions. With the increasing availability of high resolution elevation data, it has become possible to remotely evaluate the extent of these depressions and quantify the total upland storage capacity they may represent.<br /> <br /> In this poster we describe and quantify microtopography in several Maine settings using measurements of hillslope terrain ruggedness and depression volume. We then relate the distribution of microtopography to variations in landform and land use conditions. The implications of spatial and temporal patterns of storage to runoff generation and habitat are then considered. For our analysis, we use LiDAR data in several Maine watersheds: Webhannet River in Wells; Darling Marine Center campus in Walpole; two streams on Marsh Island in Orono; Cromwell Brook on Mount Desert Island; and our sole inland watershed on Lead Mountain in East Hancock.</div>

Bvandam http://wiki.geodynamics.umaine.edu/index.php?title=Microtopography_and_Surface_Water_Detention&diff=1130 2018-04-04T18:42:18Z

<p>Bvandam: Added 2018 MWC poster with abstract</p> <hr /> <div>==Upland Microtopography and Implications to Surface Water Detention in Maine==<br /> '''Abstract:''' A notable characteristic of Maine’s forested landscape is the microtopography caused by a combination of factors related to surficial geology and tree fall. These features are often on the scale of single meters wide and decimeters to a meter in depth, appearing as “puddles” in the landscape during intense or high magnitude precipitation events. The surface water detention provided by the depressions can be substantial at the scale of a watershed and measurably affect runoff rates in low order streams. Generalized ranges for surface water storage capacity have been summarized in textbooks for varied landscape conditions, but little is known about how microtopography and related detention varies in Maine’s dominant physiographic settings defined by slope, surficial geology, and land cover conditions. With the increasing availability of high resolution elevation data, it has become possible to remotely evaluate the extent of these depressions and quantify the total upland storage capacity they may represent.<br /> <br /> In this poster we describe and quantify microtopography in several Maine settings using measurements of hillslope terrain ruggedness and depression volume. We then relate the distribution of microtopography to variations in landform and land use conditions. The implications of spatial and temporal patterns of storage to runoff generation and habitat are then considered. For our analysis, we use LiDAR data in several Maine watersheds: Webhannet River in Wells; Darling Marine Center campus in Walpole; two streams on Marsh Island in Orono; Cromwell Brook on Mount Desert Island; and our sole inland watershed on Lead Mountain in East Hancock.<br /> <br /> &lt;pdf&gt;File:MWC18_MicrotopographyStorage.pdf&lt;/pdf&gt;</div>

Bvandam http://wiki.geodynamics.umaine.edu/index.php?title=File:MWC18_MicrotopographyStorage.pdf&diff=1127 2018-04-04T18:28:47Z

<p>Bvandam: &quot;Upland Microtopography and Implications to Surface Water Detention in Maine&quot; Authors: Bea Van Dam, Sean Smith, Kate Beard Poster presented at 2018 Maine Sustainability and Water Conference, March 29, 2018</p> <hr /> <div>&quot;Upland Microtopography and Implications to Surface Water Detention in Maine&quot;<br /> Authors: Bea Van Dam, Sean Smith, Kate Beard<br /> Poster presented at 2018 Maine Sustainability and Water Conference, March 29, 2018</div>

Bvandam http://wiki.geodynamics.umaine.edu/index.php?title=Surface_Hydrology&diff=1122 2018-04-04T18:13:48Z

<p>Bvandam: </p> <hr /> <div>Choose from:<br /> <br /> - [[Microtopography and Surface Water Detention|Microtopography and Surface Water Detention]]<br /> <br /> - [[Penobscot Watershed Hydrology and History|Penobscot Watershed Hydrology and History]]</div>

Bvandam http://wiki.geodynamics.umaine.edu/index.php?title=Microtopography_and_Surface_Water_Detention&diff=1120 2018-04-04T18:11:54Z

<p>Bvandam: Bvandam moved page Microtopography to Microtopography and Surface Water Detention</p> <hr /> <div>coming soon</div>

Bvandam http://wiki.geodynamics.umaine.edu/index.php?title=Microtopography&diff=1121 2018-04-04T18:11:54Z

<p>Bvandam: Bvandam moved page Microtopography to Microtopography and Surface Water Detention</p> <hr /> <div>#REDIRECT [[Microtopography and Surface Water Detention]]</div>

Bvandam