Seasonal stratification and mixing in a recently flooded mining void in tropical Australia

Lakes and Reservoirs: Science, Policy and Management for Sustainable Use

Volumn 7, Issue 2, 2002, Pages 125-131

  Boland, K T ^a   Padovan, A V ^b  

^a Tropical Water Solutions   (Australia)

^b Department of Lands Planning and Environment   (Australia)

Author keywords

Mining voids; Mixing; Oxygen depletion; Pit lakes; Productivity; Stratification; Sulphide oxidation

Indexed keywords

LAKE; MINING; MIXING; STRATIFICATION; WATER QUALITY;

AUSTRALIA; ENTERPRISE PIT LAKE; NOTHERN TERRITORY;

EID: 0036071841     PISSN: 13205331     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1440-169X.2002.00176.x     Document Type: Article

References (24)

1. An analysis of dynamic stability in two inland lakes of Northern Australia
2. Seasonal water quality variations in the rum jungle voids
3. Hypolimnion oxygen consumption in lakes: Discussion of productivity and morphometry effects
4. Settling behaviour of natural aquatic particulates
5. Rehabilitation of final voids at Pine Creek goldfields
6. The role of coagulation in natural waters
7. On the concept of lake stability
8. Particulate matter in the sediment-water interface in coastal environment
9. The hydrology and water quality of final mining voids
10. Flume studies in the transport of sediment in esturial shoaling processes
11. The aqueous geochemistry of the abondoned Spenceville copper pit, Nevada County, California
12. Understanding the water quality of pit lakes
13. Differential mixed-layer deepening in lakes and reservoirs
14. Uber den energie-gehalt der seen. Mit beispielen von lunzer untersee nach messungen mit einen einfachen temperaturlot
15. Uber temperatur und stabilitatsverhaltnisse von see
16. The underwater light climate as a controlling factor in the production ecology of freshwater phytoplankton
17. Deposition, transportation and erosion of mud
18. The influence of retention time and wind exposure on stratification and mixing in two tropical Australian reservoirs
19. Statistical models for predicting hypolimnetic oxygen depletion rates