Microtopography and Surface Water Detention - Revision history

Liam at 14:06, 20 April 2018

2018-04-20T14:06:14Z

Liam at 13:38, 6 April 2018

2018-04-06T13:38:51Z

Bvandam at 20:03, 4 April 2018

2018-04-04T20:03:48Z

Bvandam: Added poster caption

2018-04-04T19:44:57Z

Added poster caption

Bvandam: Changed MWC18 poster from embedded pdf to gallery png with link to pdf File page

2018-04-04T19:39:18Z

Changed MWC18 poster from embedded pdf to gallery png with link to pdf File page

Nick at 18:58, 4 April 2018

2018-04-04T18:58:18Z

Bvandam at 18:56, 4 April 2018

2018-04-04T18:56:33Z

Bvandam: Added 2018 MWC poster with abstract

2018-04-04T18:42:18Z

Added 2018 MWC poster with abstract

Bvandam: Bvandam moved page Microtopography to Microtopography and Surface Water Detention

2018-04-04T18:11:54Z

Bvandam moved page Microtopography to Microtopography and Surface Water Detention

Nick: Created page with "coming soon"

2018-04-04T17:57:34Z

Created page with "coming soon"

New page

coming soon

@@ Line 1: / Line 1: @@
-<big>'''Upland Microtopography and Implications to Surface Water Detention in Maine'''</big>
+<h2 id="mp-itn-h2" style="margin:0.5em; width:80em; background:#cedff2; font-family:inherit; font-size:110%; font-weight:normal; border:1px solid #a3b0bf; color:#000; padding:0.2em 0.4em;">
 '''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.
 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.
 <pdf>File:MWC18_MicrotopographyStorage.pdf</pdf>

← Older revision		Revision as of 13:38, 6 April 2018
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	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.		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.

−	<~~gallery heights=600px widths=800px~~>	+	<pdf>File:MWC18_MicrotopographyStorage.pdf</pdf>
−	~~Image:MWC18 MicrotopographyStorage png.png\|Poster presented at 2018 Maine Sustainability and Water Conference, 29 March 2018\|link=[[~~File:MWC18_MicrotopographyStorage.pdf]]
−	</~~gallery~~>

← Older revision		Revision as of 20:03, 4 April 2018
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−	==Upland Microtopography and Implications to Surface Water Detention in Maine==	+	<big>'''Upland Microtopography and Implications to Surface Water Detention in Maine'''</big>
		+
	'''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.		'''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.

@@ Line 5: / Line 5: @@
 <gallery heights=600px widths=800px>
-Image:MWC18 MicrotopographyStorage png.png|link=[[File:MWC18_MicrotopographyStorage.pdf]]
+Image:MWC18 MicrotopographyStorage png.png|Poster presented at 2018 Maine Sustainability and Water Conference, 29 March 2018|link=[[File:MWC18_MicrotopographyStorage.pdf]]
 </gallery>

← Older revision		Revision as of 19:39, 4 April 2018
Line 4:		Line 4:
	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.		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.

−	<~~pdf~~>~~File~~:MWC18 MicrotopographyStorage.pdf</~~pdf~~>	+	<gallery heights=600px widths=800px>
		+	Image:MWC18 MicrotopographyStorage png.png\|link=[[File:MWC18_MicrotopographyStorage.pdf]]
		+	</gallery>

← Older revision		Revision as of 18:58, 4 April 2018
Line 3:		Line 3:

	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.		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.
		+
		+	<pdf>File:MWC18 MicrotopographyStorage.pdf</pdf>

← Older revision		Revision as of 18:56, 4 April 2018
Line 3:		Line 3:

	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.		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.
−
−	~~<pdf>File:MWC18_MicrotopographyStorage.pdf</pdf>~~

← Older revision		Revision as of 18:42, 4 April 2018
Line 1:		Line 1:
−	~~coming soon~~	+	==Upland Microtopography and Implications to Surface Water Detention in Maine==
		+	'''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.
		+
		+	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.
		+
		+	<pdf>File:MWC18_MicrotopographyStorage.pdf</pdf>

← Older revision	Revision as of 18:11, 4 April 2018
(No difference)