Stream-Reach Identification for New Run-of-River Hydropower Development through a Merit Matrix–Based Geospatial AlgorithmSource: Journal of Water Resources Planning and Management:;2014:;Volume ( 140 ):;issue: 008Author:M. Fayzul K. Pasha
,
Dilruba Yeasmin
,
Shih-Chieh Kao
,
Boualem Hadjerioua
,
Yaxing Wei
,
Brennan T. Smith
DOI: 10.1061/(ASCE)WR.1943-5452.0000429Publisher: American Society of Civil Engineers
Abstract: Even after a century of development, the total hydropower potential from undeveloped rivers is still considered to be abundant in the United States. However, unlike evaluating hydropower potential at existing hydropower plants or nonpowered dams, locating a feasible new hydropower plant involves many unknowns; hence, the total undeveloped potential is harder to quantify. In light of the rapid development of multiple national geospatial data sets for topography, hydrology, and environmental characteristics, a merit matrix–based geospatial algorithm is proposed to identify possible hydropower stream reaches for future development. These hydropower stream reaches—sections of natural streams with suitable head, flow, and slope for possible future development—are identified and compared by using three different scenarios. A case study was conducted in the Alabama-Coosa-Tallapoosa and Apalachicola-Chattahoochee-Flint hydrologic subregions. It was found that a merit matrix–based algorithm, which is based on the product of hydraulic head, annual mean flow, and average channel slope, can effectively identify stream reaches with high power density and small surface inundation. These identified stream reaches can then be evaluated for their potential environmental impact, land development cost, and other competing water usage in detailed feasibility studies. Given that the selected data sets are available nationally (at least within the conterminous U.S.), the proposed methodology will have wide applicability across the country.
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contributor author | M. Fayzul K. Pasha | |
contributor author | Dilruba Yeasmin | |
contributor author | Shih-Chieh Kao | |
contributor author | Boualem Hadjerioua | |
contributor author | Yaxing Wei | |
contributor author | Brennan T. Smith | |
date accessioned | 2017-05-08T22:06:36Z | |
date available | 2017-05-08T22:06:36Z | |
date copyright | August 2014 | |
date issued | 2014 | |
identifier other | 28290280.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/71527 | |
description abstract | Even after a century of development, the total hydropower potential from undeveloped rivers is still considered to be abundant in the United States. However, unlike evaluating hydropower potential at existing hydropower plants or nonpowered dams, locating a feasible new hydropower plant involves many unknowns; hence, the total undeveloped potential is harder to quantify. In light of the rapid development of multiple national geospatial data sets for topography, hydrology, and environmental characteristics, a merit matrix–based geospatial algorithm is proposed to identify possible hydropower stream reaches for future development. These hydropower stream reaches—sections of natural streams with suitable head, flow, and slope for possible future development—are identified and compared by using three different scenarios. A case study was conducted in the Alabama-Coosa-Tallapoosa and Apalachicola-Chattahoochee-Flint hydrologic subregions. It was found that a merit matrix–based algorithm, which is based on the product of hydraulic head, annual mean flow, and average channel slope, can effectively identify stream reaches with high power density and small surface inundation. These identified stream reaches can then be evaluated for their potential environmental impact, land development cost, and other competing water usage in detailed feasibility studies. Given that the selected data sets are available nationally (at least within the conterminous U.S.), the proposed methodology will have wide applicability across the country. | |
publisher | American Society of Civil Engineers | |
title | Stream-Reach Identification for New Run-of-River Hydropower Development through a Merit Matrix–Based Geospatial Algorithm | |
type | Journal Paper | |
journal volume | 140 | |
journal issue | 8 | |
journal title | Journal of Water Resources Planning and Management | |
identifier doi | 10.1061/(ASCE)WR.1943-5452.0000429 | |
tree | Journal of Water Resources Planning and Management:;2014:;Volume ( 140 ):;issue: 008 | |
contenttype | Fulltext |