scholarly journals NONPOINT POLLUTION CONTROL STRATEGIES FOR MOSES LAKE, WASHINGTON

1986 ◽  
Vol 2 (1) ◽  
pp. 170-176
Author(s):  
Richard C. Bain ◽  
Richard R. Horner ◽  
Leigh Nelson
Author(s):  
X. H. Zhang ◽  
T. H. Wang ◽  
W. Q. Yuan ◽  
H. L. Duan ◽  
W. H. Zhang ◽  
...  

1999 ◽  
Vol 81 (5) ◽  
pp. 1210-1215 ◽  
Author(s):  
Richard D. Horan ◽  
James S. Shortle ◽  
David G. Abler

2002 ◽  
Vol 45 (8) ◽  
pp. 47-52 ◽  
Author(s):  
Anil Agarwal

Small-scale industrial enterprises play a highly important role in the development of countries such as India and China since they tend to be labour-intensive, contribute to decentralised industrial development, and are flexible and responsive to emerging demands. However they also often use outdated and highly polluting technologies and, operating in very competitive environments, have very limited financial reserves to invest in “non-productive” pollution control technologies. There has been very little research anywhere into low-cost pollution-control technologies or more applicable pollution control strategies for this sector.


2017 ◽  
Author(s):  
Qijing Bian ◽  
Badr Alharbi ◽  
Mohammed M. Sharee ◽  
Tahir Husai ◽  
Mohammad J. Pasha ◽  
...  

Abstract. Knowledge of the sources of carbonaceous aerosol affecting air quality in Riyadh, Saudi Arabia is limited, but needed for the development of pollution control strategies. We conducted sampling of PM2.5 from April to September, 2012 at various sites in the city, and used a thermo-optical semi-continuous method to quantify the organic carbon (OC) and elemental carbon (EC) concentrations. The average OC and EC concentrations were 4.7 ± 4.4 and 2.1 ± 2.5 μg  m


2003 ◽  
Vol 48 (7) ◽  
pp. 57-63 ◽  
Author(s):  
M.C. Sekhar ◽  
Ch. Indira

Chloride discharge relationships at several monitoring stations on the River Krishna in South India are investigated, both qualitatively and quantitatively, to identify probable source contributions. The chloride behaviour along the waterway is studied in detail to assess the source contributions at various monitoring stations falling within the study area. Seasonal variations in the intensity of rainfall cause wide variations in the quality of the River Krishna. As there is strong seasonal dependence between the flow in the river and chlorides, seasonal models are developed for prediction of concentrations and loads. Linear regression analysis is carried out to determine the model parameters. The predicted concentrations and loads are in agreement with the observed values within the uncertainty of data. As the area is characterized by distinct dry and wet seasons (based on rainfall distribution over the year), mass balances are used to differentiate between point and non-point source contributions to the river. In large river basins, monitoring all individual sources is difficult and/or impossible and expensive; hence the presented approach based on receiving water quality and flow serves as an alternative for modeling chlorides in the river basin. Results of the study can be used to emphasise water pollution control strategies.


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