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Using an integrated linkage method t...

Chen, Mi.

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Using an integrated linkage method to predict hydrological responses of a mixed land use watershed.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Using an integrated linkage method to predict hydrological responses of a mixed land use watershed./
Author:	Chen, Mi.
Description:	394 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-10, Section: B, page: 4832.
Contained By:	Dissertation Abstracts International64-10B.
Subject:	Hydrology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3109120

Using an integrated linkage method to predict hydrological responses of a mixed land use watershed.
Chen, Mi.

Using an integrated linkage method to predict hydrological responses of a mixed land use watershed. - 394 p.

Source: Dissertation Abstracts International, Volume: 64-10, Section: B, page: 4832.

Thesis (Ph.D.)--The Ohio State University, 2003.

In this study, an integrated methodology that linked the three existing hydrologic models ADAPT, REMM, SWMM, and utilized a GIS and remotely sensed database to assess flow, sediment, nitrate on a mixed land use watershed, was developed and evaluated.Subjects--Topical Terms:

545716
Hydrology.

Using an integrated linkage method to predict hydrological responses of a mixed land use watershed.
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035 $a (UnM)AAI3109120
035 $a AAI3109120
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100 1 $a Chen, Mi. $3 1949828
245 1 0 $a Using an integrated linkage method to predict hydrological responses of a mixed land use watershed.
300 $a 394 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-10, Section: B, page: 4832.
500 $a Adviser: Andrew D. Ward.
502 $a Thesis (Ph.D.)--The Ohio State University, 2003.
520 $a In this study, an integrated methodology that linked the three existing hydrologic models ADAPT, REMM, SWMM, and utilized a GIS and remotely sensed database to assess flow, sediment, nitrate on a mixed land use watershed, was developed and evaluated.
520 $a The integrated linkage method was able to continuously simulate hydrological processes in the rural areas, urban areas, and riparian buffer systems respectively using ADAPT, SWMM, and REMM. In the modeling process, a large watershed was further delineated into several subwatersheds. A set of Hydrological Response Units (HRU) that reflected the impacts of land use, soil type, management practice, etc. was formed. Double triangle unit hydrograph methodology was applied for routing flow and constituents from the edge of the field to their subwatershed outlet. These two steps solved the two modeling issues regarding (1) modeling scale limitations caused by ADAPT, SWMM, and REMM models; and (2) land use spacial distributions in a watershed. The Transport block of SWMM was applied for routing hydrological responses from the subwatershed outlets to a watershed outlet along streams. A set of computer programs was developed to interface all the procedures and obtain compatible inputs and outputs.
520 $a The modeling method was evaluated with measured stream flow and its constituents, including sediment and nitrate data for six years on the 1400 km2 Big Darby Creek Watershed in Ohio. Both urbanization and riparian ecosystem impacts on a watershed were assessed respectively using this method.
520 $a It was found that (1) the predicted results from the linkage model had fairly consistent agreement with the observed data; (2) the stream flow, sediment and nitrogen discharges were decreased after REMM was added to simulate riparian buffer systems; (3) stream flow was increased, especially the peak flow, and sediment and nitrogen discharges were continuously decreased after SWMM was added into the model to simulate the urban lands; and (4) the agreement between the predictions and observations had significant improvement after the routing scheme was used. The model evaluations confirmed the feasibility and effectiveness of the linkage method and its limitations.
590 $a School code: 0168.
650 4 $a Hydrology. $3 545716
650 4 $a Engineering, Agricultural. $3 1019504
650 4 $a Engineering, Environmental. $3 783782
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710 2 0 $a The Ohio State University. $3 718944
773 0 $t Dissertation Abstracts International $g 64-10B.
790 1 0 $a Ward, Andrew D., $e advisor
790 $a 0168
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3109120