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In this study, an
interval probability-based inexact two-stage stochastic (IP-ITSP) model is
developed for environmental pollutants control and greenhouse gas (GHG)
emissions reduction management in regional energy system under uncertainties.
In the IP-ITSP model, methods of interval probability, interval-parameter programming
(IPP) and two-stage stochastic programming (TSP) are introduced into an integer
programming framework; the developed model can tackle uncertainties described
in terms of interval values and interval probability distributions. The
developed model is applied to a case of planning GHG -emission mitigation in a
regional electricity system, demonstrating that IP-ITSP is applicable to
reflecting complexities of multi-uncertainty, and capable of addressing the
problem of GHG-emission reduction. 4 scenarios corresponding to different GHG
-emission mitigation levels are examined; the results indicates that the model
could help decision makers identify desired GHG mitigation policies under
various economic costs and environmental requirements.
Utilizing the methods of documentary research, fieldwork, expert interviwing and so on, this paper have taken much survey in terms of cognition and value identity situation of Central Plains folk custom sports culture, the motivation of attending this activity, the development requirement trend and this culture heritage development and creation requirement trend and so on to realize the value identity and requirement of Central Plains folk custom sports cultural resources development from the public, further to wake up the attention from the public about this cultural resources which provide the culture and heritage protection, ecnomic constructure and culture constrcture with theoretical references and practical instruction.