Empirical evaluation of sand filters to evolve practical designs for artificial recharge through dry wells

2021 ◽  
Vol 593 ◽  
pp. 125839
Author(s):  
Gopal Kumar ◽  
D.R. Sena ◽  
B.K. Rao ◽  
R.S. Kurothe ◽  
Nyonand Yadav ◽  
...  
1996 ◽  
Vol 33 (10-11) ◽  
pp. 381-390 ◽  
Author(s):  
Herman Bouwer

Interest in artificial recharge with normal water and sewage effluent continues to increase. Issues discussed in this paper include recharge with infiltration basins, soil-aquifer treatment of sewage effluent, potable use of water from aquifers recharged with sewage effluent, nitrogen removal, pre-treatment of sewage effluent, disinfection, well recharge, clogging parameters, superchlorination, disinfection byproducts, vadose zone wells, seepage trenches, and constructed aquifers used as intermittent sand filters.


1986 ◽  
Vol 47 (7) ◽  
pp. 1149-1154
Author(s):  
Le Quang Rang ◽  
D. Voslamber

2018 ◽  
Author(s):  
Timothy Newhouse ◽  
Daria E. Kim ◽  
Joshua E. Zweig

The diverse molecular architectures of terpene natural products are assembled by exquisite enzyme-catalyzed reactions. Successful recapitulation of these transformations using chemical synthesis is hard to predict from first principles and therefore challenging to execute. A means of evaluating the feasibility of such chemical reactions would greatly enable the development of concise syntheses of complex small molecules. Herein, we report the computational analysis of the energetic favorability of a key bio-inspired transformation, which we use to inform our synthetic strategy. This approach was applied to synthesize two constituents of the historically challenging indole diterpenoid class, resulting in a concise route to (–)-paspaline A in 9 steps from commercially available materials and the first pathway to and structural confirmation of emindole PB in 13 steps. This work highlights how traditional retrosynthetic design can be augmented with quantum chemical calculations to reveal energetically feasible synthetic disconnections, minimizing time-consuming and expensive empirical evaluation.


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