Groundwater Impacts of Radioactive Wastes and Associated Environmental Modeling Assessment

2019 ◽  
pp. 101-111
Author(s):  
Rui Ma ◽  
Chunmiao Zheng ◽  
Chongxuan Liu
2008 ◽  
Author(s):  
Michael I. Ojovan ◽  
Galina A. Varlakova ◽  
Zoya I. Golubeva ◽  
Alexander S. Barinov ◽  
Igor A. Sobolev
Keyword(s):  

1967 ◽  
Author(s):  
Dewey Richard Andersen
Keyword(s):  

2001 ◽  
Vol 19 (4) ◽  
pp. 43-63 ◽  
Author(s):  
Christian Hunold

In this essay I examine the dispute between the German GreenParty and some of the country’s environmental nongovernmentalorganizations (NGOs) over the March 2001 renewal of rail shipmentsof highly radioactive wastes to Gorleben. My purpose indoing so is to test John Dryzek’s 1996 claim that environmentalistsought to beware of what they wish for concerning inclusion in theliberal democratic state. Inclusion on the wrong terms, arguesDryzek, may prove detrimental to the goals of greening and democratizingpublic policy because such inclusion may compromise thesurvival of a green public sphere that is vital to both. Prospects forecological democracy, understood in terms of strong ecologicalmodernization here, depend on historically conditioned relationshipsbetween the state and the environmental movement that fosterthe emergence and persistence over time of such a public sphere.


1989 ◽  
Vol 21 (8-9) ◽  
pp. 1045-1056 ◽  
Author(s):  
Thomas O. Barnwell ◽  
Linfield C. Brown ◽  
Wiktor Marek

Computerized modeling is becoming an integral part of decision making in water pollution control. Expert systems is an innovative methodology that can assist in building, using, and interpreting the output of these models. This paper reviews the use and evaluates the potential of expert systems technology in environmental modeling and describes elements of an expert advisor for the stream water quality model QUAL2E. Some general conclusions are presented about the tools available to develop this system, the level of available technology in knowledge-based engineering, and the value of approaching problems from a knowledge engineering perspective.


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