Determination of chemical-constituent loads during base-flow and storm-runoff conditions near historical mines in Prospect Gulch, upper Animas River watershed, southwestern Colorado

1999 ◽  
Author(s):  
Laurie Wirt ◽  
K.J. Leib ◽  
D.J. Bove ◽  
M.A. Mast ◽  
J.B. Evans ◽  
...  
Keyword(s):  
Chemical Constituent ◽  
Base Flow ◽  
Storm Runoff ◽  
River Watershed ◽  
Animas River

Determination of pre-mining geochemical conditions and paleoecology in the Animas River Watershed, Colorado

1999 ◽  
Author(s):  
S.E. Church ◽  
D.L. Fey ◽  
E.M. Brouwers ◽  
C.W. Holmes ◽  
Robert Blair
Keyword(s):  
River Watershed ◽  
Geochemical Conditions ◽  
Animas River

scholarly journals Geochemical distribution and threshold values determination of heavy metals in stream water in the sub-basins of Vermelho and Sororó rivers, Itacaiúnas River watershed, Eastern Amazon, Brazil

2018 ◽  
Vol 32 (2) ◽  
pp. 180-198 ◽  
Author(s):  
Gabriel Salomão ◽  
Roberto Dall'Agnol ◽  
Prafulla Sahoo ◽  
Jair Ferreira-Júnior ◽  
Marcio Silva ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Stream Water ◽  
Threshold Values ◽  
River Watershed

scholarly journals Performance evaluation of optimization models in the determination of wastewater treatment efficiencies inside watersheds

RBRH ◽  
2016 ◽  
Vol 21 (4) ◽  
pp. 694-706 ◽  
Author(s):  
Mariana Coelho Santoro ◽  
José Antonio Tosta dos Reis ◽  
Antonio Sérgio Ferreira Mendonça
Keyword(s):  
Complex Analysis ◽  
Sewage Treatment ◽  
Pollutant Removal ◽  
Optimization Models ◽  
Computing Environment ◽  
River Watershed ◽  
Satisfactory Performance ◽  
Wide Range ◽  
Equity Measures

ABSTRACT Determination of sewage treatment plants pollutant removal efficiencies, considering the protection of water resources, is very difficult because it involves complex analysis that must take into account multiple discharges into watercourses presenting different self depuration capacities. The research aimed to evaluate different optimization models for determination of minimum sewage treatment efficiencies for plants located in a watershed. The analyzed optimization models involves minimization of the sum of treatment efficiencies and minimization of inequity between sewage treatment efforts. Water quality mathematical model and Genetic Algorithm were combined in a MatLab software computing environment. The Pardo river watershed is the study area. Pardo river is a tributary of the Itapemirim river, important watercourse located in the southern part of Espirito Santo State, in Brazil. The results indicate that the optimization models that incorporate measurement of equity as a problem restriction did not generate consistent answers, probably because of the wide range of sewage loads values considered in the Pardo river watershed. The models that incorporate equity measures in the objective function showed satisfactory performance and resulted in very close values for minimum sewage treatment efficiencies.

Geochemical and isotopic data from streambed sediment, Animas River watershed, Colorado, 1995-1999

2000 ◽  
Author(s):  
S.E. Church ◽  
D.L. Fey ◽  
D.M. Unruh ◽  
R.B. Vaughn ◽  
J.E. Taggart
Keyword(s):  
Isotopic Data ◽  
River Watershed ◽  
Streambed Sediment ◽  
Animas River
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