國立虎尾科技大學 |

Mapping Stream Channel Head Locations in the State of Alabama.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Mapping Stream Channel Head Locations in the State of Alabama./
作者:	Burak, Avcioglu.
面頁冊數:	1 online resource (125 pages)
附註:	Source: Masters Abstracts International, Volume: 84-08.
Contained By:	Masters Abstracts International84-08.
標題:	Water resources management. -
電子資源:	click for full text (PQDT)
ISBN:	9798371922342

Mapping Stream Channel Head Locations in the State of Alabama.
Burak, Avcioglu.

Mapping Stream Channel Head Locations in the State of Alabama. - 1 online resource (125 pages)

Source: Masters Abstracts International, Volume: 84-08.

Thesis (M.Sc.)--Auburn University, 2015.

Includes bibliographical references

This study focuses on assessing the utility of the slope-area method for predicting channel head locations in forested areas in Alabama under different physiographic regions, improving this method by evaluating the other landscape parameters related to channel initiation, and lastly comparing the results to the widely used National Hydrographic Dataset. To achieve these objectives, the models developed and evaluated in this study, included three region-specific multi-variable models, a comprehensive state multi-variable model, and the slope-area model. A total of 163 stream channel head locations across three physiographic regions of Alabama, including Southwestern Appalachians (n=51), Piedmont (n=61), and Coastal Plains (n=51), were mapped with extensive field work using a GPS device. The field data were collected in national forests within each physiographic region, namely William B. Bankhead National Forest, Talladega National Forest, and Conecuh National Forest of Alabama, to capture the least disturbed (i.e. reference) conditions. The local slope and the drainage area had an inverse and strong correlation in the Piedmont/Ridge and Valley region (r2=0.71) and the Southwestern Appalachian region (r2=0.61). Among the three physiographic regions, the weakest correlation was observed in the Coastal Plain region (r2=0.45). Overall, calculated reliability and sensitivity indices indicated that model accuracy and reliance were weak to moderate; however, the slope-area method gave a much better estimation on the channel head locations compared to NHD. The region-specific multi-variable models provided the best predictions of stream channel head locations mapped in the field at each region. A comprehensive state-model was less accurate at locating the actual stream channel head locations compared to the region-specific models. However, the comprehensive model was comparable to the slope-area model, showing that it could be applied in regions where no field mapped stream channel head location data is available.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798371922342Subjects--Topical Terms:

1178858
Water resources management.
Index Terms--Genre/Form:

554714
Electronic books.

Mapping Stream Channel Head Locations in the State of Alabama.
LDR:03583ntm a22005297 4500 001 1149971
005 20241023120613.5
006 m o d
007 cr bn ---uuuuu
008 250605s2015 xx obm 000 0 eng d
020 $a 9798371922342
035 $a (MiAaPQ)AAI30266121
035 $a (MiAaPQ)Auburn104154875
035 $a AAI30266121
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Burak, Avcioglu. $3 1476359
245 1 0 $a Mapping Stream Channel Head Locations in the State of Alabama.
264 0 $c 2015
300 $a 1 online resource (125 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 84-08.
500 $a Advisor: Anderson, Christopher J.;Kalin, Latif.
502 $a Thesis (M.Sc.)--Auburn University, 2015.
504 $a Includes bibliographical references
520 $a This study focuses on assessing the utility of the slope-area method for predicting channel head locations in forested areas in Alabama under different physiographic regions, improving this method by evaluating the other landscape parameters related to channel initiation, and lastly comparing the results to the widely used National Hydrographic Dataset. To achieve these objectives, the models developed and evaluated in this study, included three region-specific multi-variable models, a comprehensive state multi-variable model, and the slope-area model. A total of 163 stream channel head locations across three physiographic regions of Alabama, including Southwestern Appalachians (n=51), Piedmont (n=61), and Coastal Plains (n=51), were mapped with extensive field work using a GPS device. The field data were collected in national forests within each physiographic region, namely William B. Bankhead National Forest, Talladega National Forest, and Conecuh National Forest of Alabama, to capture the least disturbed (i.e. reference) conditions. The local slope and the drainage area had an inverse and strong correlation in the Piedmont/Ridge and Valley region (r2=0.71) and the Southwestern Appalachian region (r2=0.61). Among the three physiographic regions, the weakest correlation was observed in the Coastal Plain region (r2=0.45). Overall, calculated reliability and sensitivity indices indicated that model accuracy and reliance were weak to moderate; however, the slope-area method gave a much better estimation on the channel head locations compared to NHD. The region-specific multi-variable models provided the best predictions of stream channel head locations mapped in the field at each region. A comprehensive state-model was less accurate at locating the actual stream channel head locations compared to the region-specific models. However, the comprehensive model was comparable to the slope-area model, showing that it could be applied in regions where no field mapped stream channel head location data is available.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Water resources management. $3 1178858
650 4 $a Transportation. $3 558117
650 4 $a Soil sciences. $3 1179645
650 4 $a Public policy. $3 1002398
650 4 $a Physical geography. $3 784466
650 4 $a Meteorology. $3 554820
650 4 $a Land use planning. $3 1182560
650 4 $a Information technology. $3 559429
650 4 $a Information science. $3 561178
650 4 $a Hydrologic sciences. $3 1179176
650 4 $a Geographic information science. $3 1372545
650 4 $a Biology. $3 599573
650 4 $a Area planning & development. $3 1179610
650 4 $a Aquatic sciences. $3 1178821
650 4 $a Rain. $3 1465443
650 4 $a Coastal plains. $3 1476362
650 4 $a Morphology. $3 1183868
650 4 $a Water transportation. $3 1476361
650 4 $a Geographic information systems. $3 554796
650 4 $a Watershed management. $3 557866
650 4 $a Mapping. $3 1215615
650 4 $a Maps. $3 889832
650 4 $a Watersheds. $3 679964
650 4 $a Hydrologic cycle. $3 670435
650 4 $a Groundwater. $3 680539
650 4 $a Geomorphology. $3 566098
650 4 $a Creeks & streams. $3 1465326
650 4 $a Geology. $3 670379
650 4 $a Hydrology. $3 642066
650 4 $a Sediment transport. $3 565600
650 4 $a Drainage. $3 789411
650 4 $a Basins. $3 1476360
650 4 $a Soil erosion. $3 682803
650 4 $a Topography. $3 1413624
655 7 $a Electronic books. $2 local $3 554714
690 $a 0372
690 $a 0484
690 $a 0287
690 $a 0792
690 $a 0341
690 $a 0306
690 $a 0370
690 $a 0388
690 $a 0723
690 $a 0489
690 $a 0536
690 $a 0454
690 $a 0557
690 $a 0368
690 $a 0630
690 $a 0481
690 $a 0709
690 $a 0595
710 2 $a Auburn University. $3 1189563
710 2 $a ProQuest Information and Learning Co. $3 1178819
773 0 $t Masters Abstracts International $g 84-08.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30266121 $z click for full text (PQDT)