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Research On Total Waste Load Control Based On Water Environmental Carrying Capacity

Posted on:2019-03-22Degree:DoctorType:Dissertation
Country:ChinaCandidate:C MengFull Text:PDF
GTID:1361330548970360Subject:Energy and Environmental Engineering
Abstract/Summary:PDF Full Text Request
The environmental problem of water resources has always been a major problem restricting the sustainable development of economy and society for a long time.In China,source pollution control has always been emphasized for water environment control,requiring water use efficiency improvement and total waste load control.Since the "9th Five-Year Plan",with the continuous development and improvement of the total waste load control system of water pollutants,the quality of water environment has been obviously improved in China.At the end of the“12th Five-Year Plan","The Action Plan for Prevention and Treatment of Water Pollution",put forward a plan to systematically promote water pollution control,water resources management and water ecological restoration,taking improving the quality of the water environment as the core.The "13th Five-Year Plan" Ecological Environmental Protection Planning Commission explicitly put forward to improve the environmental quality as the core,reform and perfect the total waste load control system,put forward higher requirements for water environmental protection,means that capacity gross control would be more scientific for water quality management.However,there is a phenomenon that the water quality is poor in the Yinma River Basin and the total pollutant load is far beyond the water environment capacity.Source reduction only is unrealistic because of the requirement of regional economic and social development.And on account of the complexity and uncertainty in the water environment management system,it is difficult to realize the scientific distribution of the total discharge quantity.This paper takes the Yinma River Basin as the research object,COD and ammonia nitrogen as the controlled pollutants.Based on the systematic evaluation of the water environment in the river basin,the study attempts to explore a novel way to establish the balance between the pollutant load and water environmental capacity,to provide a novel idea for the total capacity control in the river basin.Considering the uncertainty in the water environment system,reasonable programming model was developed for total waste load control in the river basin under uncertainties.The main research contents include:(I)Based on the evaluation and analysis of the water environment system in the Yinma River Basin.this paper attempts to combine the study of water pollution control and ecological restoration in the basin,puts forward the idea of,and establishes the index system of water environmental capacity improvement according to the construction principle of the evaluation index system.This study attempts to realize the dual control of "pollutant reduction" and "capacity improvement".It is expected to provide theoretical basis for carrying out the total capacity control and realizing the optimal allocation of the total amount of pollutants in the basin.(2)Taking the Yitong River,an important tributary of the Yinma River Basin,as the research object,taking into account the spatial-temporal and stochastic characteristics of the pollutant-accepting capacity brought by the runoff changes of water bodies,a two-stage stochastic programming method was adopted to construct the total pollutant control in the basin based on the enhancement of pollution-reducing capacity.The model will realize the reduction of total discharge volume based on the quality target of the environment,and the optimal allocation of total amount indicators for the sewage disposal departments at various stages,for the purpose of providing decision support for the total waste load control in the river basin.(3)Based on the interaction of economic and social development,optimal allocation of water resources and water environment governance,while considering the uncertainty in the water environment management,an interval two-stage stochastic programming model was developed for waste load allocation control based on capacity of water resource and environment.This study tried to realize waste load allocation control through water resource allocations among administrative units and sewerage departments,in order to provide decision support for the optimal of water resource management and water pollution prevention in the river basin.(4)Considering the uneven distribution risk of water resources under water quality constraints of the optimal model,in this part,a downside risk-based inexact model was developed for optimal water resource allocation and waste load control.The purpose of this model is to investigate the optimal solution to achieve total waste load control and balanced development of between regions and water users,through calculating and analyzing the optimal water resource allocations and total waste load control,which would promote sustainable development of socio-economic and environment.This study indicated that the index system of water environmental carrying capacity improvement would provide a new idea for capacity gross control,by combining "pollutant reduction and "capacity upgrade"in the water environment management.The study of intervaltwo-stage stochastic programming model for waste load control under water resource and environment capacities,showed a positive conclusion for waste load control by optimal water resource allocations,which would promote the capacity gross control in the Yinma River Basin.And the solutions of downside risk-based inexact model would support for the coordinated development of socioeconomy and eco-environmen.The study was in line with the requirements of water resource,environl,ment management and development.and would provide decision support for the management and planning of the water environmental system in the Yinma River Basin.
Keywords/Search Tags:water environment, water environment capacity, total waste load control, environment capacity improvement, uncertainty
PDF Full Text Request
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