Abstract
Regional development planning systems contain multiple uncertainties which come from economic restructuring, resource management, carbon peak action, environmental protection, and other factors, it is difficulty to handle all of these uncertainties in one method. In order to solve this problem, a new model developed in this study combines an interval fuzzy program with an environmental quality model for regional development planning in order to provide optimal solutions. The interval fuzzy program is put forward based on interval parameter programming (IPP) and fuzzy programing (FP). The environmental quality model is used to calculate water environmental capacity and atmospheric capacity, which are set as constraint conditions in the model. In order to meet the requirements of carbon peak action, a low carbon development constraint is added to the model. In this model, decision makers can choose the satisfaction level of constraints based on their preferences. The results suggest that the methodology is applicable for the regional development planning system within the planning period. The developed model can be used to generate a series of optimization schema under multiple credibility levels, ensuring that the regional development planning system can meet both societal demands and environmental quality requirements, considering a proper balance between the expected system benefits and risks of violating the resource constraint and low carbon development constraint.
Highlights
Introduction published maps and institutional affilClimate change has become a hot topic in the world; extreme weather caused by climate change has led to a series of disasters, and greenhouse gas emissions, represented by carbon dioxide, have a major impact on climate change [1]
In order to overcome the aforementioned complexities, uncertainties and limitations, this study developed an interval fuzzy programming combined with environmental quality model (IFP-WQ) for regional development planning
Various sources of Various uncertainty are important for the development planning sources of uncertainty areregional important for the regional development planning system, and they were expressed as uncertain parameters and credibility levels, such as levels, such as the system, and they were expressed as uncertain parameters and credibility the performance ofperformance constraints for all Chinese cities of resources constraintsand forenergy
Summary
The Qingpu district belongs to the plains river network area, with a high density of river systems significantly regulated by pump-sluice projects, so the regional water environmental capacity was calculated with the water district as the basic unit. The river self-purification capacity and dilution capacity in each water district were each calculated; the self-purification capacity refers to the self-purification of the channel storage, and the dilution capacity mainly denotes the dilution capacity of input water in the region and upstream water. The specific calculation equation is as follows: WL = Q0 (CS − C0 ) + qCS + KVCS (1). Where WL is the river environment capacity, CS is the water quality target, Q0 is the upstream inflow quantity, C0 is the upstream inflow quality, q is the input quantity K is the river pollutant degradation coefficient, and V is the river storage and flood control capacity
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