2012
DOI: 10.3390/w4040815
|View full text |Cite
|
Sign up to set email alerts
|

Characterization of the Water Quality Status on a Stretch of River Lérez around a Small Hydroelectric Power Station

Abstract: The renewable energy emerged as a solution to the environmental problems caused by the conventional sources of energy. Small hydropower (SHP) is claimed to cause negligible effects on the ecosystem, although some environmental values are threatened and maintenance of an adequate water quality should be ensured. This work provides a characterization of the water quality status in a river stretch around a SHP plant on river Lérez, northwest Spain, for four years after its construction. The ecological and chemica… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
22
0
1

Year Published

2014
2014
2022
2022

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 33 publications
(26 citation statements)
references
References 25 publications
1
22
0
1
Order By: Relevance
“…The PCHs of water quality datasets based on the regression equation were approximately 30%, except the water quality dataset for station 05291000 since the PCH was 13.6%. Notes: (1) MFE: mean flow (CMS) of estimation data; (2) R. MFC: required MFC (CMS) by the regression equation (Equation (8)); (3) MFC: mean flow (CMS) of calibration data; (4) Original: calibration data from Park and Engel [21]; (5) Regression: calibration data after the exclusion of minimum flow data; (6) Num. data: the number of data in calibration data; (7) PCH: Percentage of calibration data from high flow (%).…”
Section: Improvement Of the Poorest Annual Sediment Load Estimatesmentioning
confidence: 99%
See 1 more Smart Citation
“…The PCHs of water quality datasets based on the regression equation were approximately 30%, except the water quality dataset for station 05291000 since the PCH was 13.6%. Notes: (1) MFE: mean flow (CMS) of estimation data; (2) R. MFC: required MFC (CMS) by the regression equation (Equation (8)); (3) MFC: mean flow (CMS) of calibration data; (4) Original: calibration data from Park and Engel [21]; (5) Regression: calibration data after the exclusion of minimum flow data; (6) Num. data: the number of data in calibration data; (7) PCH: Percentage of calibration data from high flow (%).…”
Section: Improvement Of the Poorest Annual Sediment Load Estimatesmentioning
confidence: 99%
“…Therefore, water quality samples are collected by various sampling strategies which are based on flow, time, or flow and time composited [1,2]. Fixed frequency sampling strategies collect samples based on time and represent the sampling being conducted with equal time intervals (e.g., 52, 26, and 12 per year in cases of weekly, fortnightly, and monthly, respectively) [3][4][5], while stratified sampling strategies are conducted based on flow proportion (e.g., 10 mm volumetric depth). Water quality data samples may not be consecutive or associated with the range of flow data, and therefore a straightforward annual load estimate (e.g., sum of daily loads) may not be possible.…”
Section: Introductionmentioning
confidence: 99%
“…Despite the environmental benefits of the SHP, some ecological values are still threatened by this form of renewable energy. SHP plants are located in such important stream ecosystems, generally in areas of high ecological value (Valero, 2012). The aim of this research is to describe the quality of the riverine ecosystem on a river stretch which includes a SHP plant, on river Mandeo, Galicia (Spain).…”
Section: Introductionmentioning
confidence: 99%
“…The main negative environmental impacts are: lack of proper fish and wildlife passages, inadequate quantity of environmental flow and monthly distribution, mortality of fish due to the turbines, lack of control over environmental flow, high-voltage power lines, inadequate rehabilitation and restoration of habitat, illegal hunting, waste accumulation, dust and noise pollution (Čada, 2001;Trussart et al, 2002;Kucukali and Baris, 2009;Rojanamon et al, 2009;Valero, 2012;Karunarathna, 2013;Kucukali, 2014;Kumar and Katoch, 2014;Vowles et al, 2014).…”
Section: Introductionmentioning
confidence: 99%