| Title |
Integrating water quality responses to best management practices in Portugal
|
|---|---|
| Published in |
Environmental Science and Pollution Research, November 2017
|
| DOI | 10.1007/s11356-017-0610-1 |
| Pubmed ID | |
| Authors |
André Fonseca, Rui A. R. Boaventura, Vítor J. P. Vilar |
| Abstract |
Nutrient nonpoint pollution has a significant impact on water resources worldwide. The main challenge of this work was to assess the application of best management practices in agricultural land to comply with water quality legislation for surface waters. The Hydrological Simulation Program-FORTRAN was used to evaluate water quality of Ave River in Portugal. Best management practices (infiltration basin) (BMP) were applied to agricultural land (for 3, 6, 9, 12, and 15% area) with removal efficiencies of 50% for fecal coliforms and 30% for nitrogen, phosphorus, and biochemical oxygen demand. The inflow of water quality constituents was reduced for all scenarios, with fecal coliforms achieving the highest reduction between 5.8 and 28.9% and nutrients and biochemical oxygen demand between 2 and 13%. Biochemical oxygen demand and orthophosphates concentrations achieved a good water quality status according to the European Legislation for scenarios of BMP applied to 3 and 12% agricultural area, respectively. Fecal coliform levels in Ave River basin require further treatment to fall below the established value in the abovementioned legislation. This study shows that agricultural watersheds such as Ave basins demand special attention in regard to nonpoint pollution sources effects on water quality and nutrient loads. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 18% |
| Student > Master | 3 | 11% |
| Other | 3 | 11% |
| Student > Doctoral Student | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Other | 8 | 29% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 8 | 29% |
| Chemical Engineering | 3 | 11% |
| Unspecified | 2 | 7% |
| Earth and Planetary Sciences | 2 | 7% |
| Social Sciences | 2 | 7% |
| Other | 5 | 18% |
| Unknown | 6 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 November 2017.
All research outputs
#19,440,618
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#5,443
of 9,883 outputs
Outputs of similar age
#257,389
of 332,564 outputs
Outputs of similar age from Environmental Science and Pollution Research
#166
of 288 outputs
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