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Mobile GIS Based Study On Carrying Capacity And Optimal Allocation Of Water Resources In Shenyang

Posted on:2018-12-21Degree:MasterType:Thesis
Country:ChinaCandidate:H H WangFull Text:PDF
GTID:2370330545962790Subject:Environmental Science and Engineering
Abstract/Summary:PDF Full Text Request
The strength of the regional water resources carrying capacity and the quality of the optimal allocation scheme are becoming the key factors affecting the social and econom ic development of the region.Shenyang City,in order to ensure social stability and econ omic development,accurately grasp the carrying capacity of water resources change trend,reasonable optimal allocation of limited water resources,sustainable development has be come a pressing matter of the moment of Shenyang city water resources management.W ith the development of Internet,the rapid development of information technology,such as mobile GIS,database and wireless network,has become an inevitable trend.This paper from the natural geography,meteorology and hydrology and the economi c and social three aspects of Shenyang city water resources characteristic is analyzed,the study showed that the Shenyang area surface water shortage and uneven distribution of rainfall and water resources from the southeast to the northwest gradually reduced,groun dwater is small and there is the phenomenon of over exploitation of groundwater.Based on the evaluation of water quality and quantity of water resources in Shenyang City,the water resources in Shenyang are mainly groundwater,and the total amount of water res ources is short.Shenyang city surface water quality assessment using the single index ev aluation method,the results show that the Shenyang city surface water quality for IV wa ter quality standards,do not comply with water function zones compliance standard.Agri culture and domestic sewage have a great impact on the groundwater quality in Shenyan g.Based on the analysis of the present situation of water supply and the available water resources,this paper makes clear the problems existing in the development and utilizatio n of water resources in Shenyang.Based on the precipitation and water resources in total dry Feng analysis of changes,the right of Markov chain prediction method to predict the future of total water resourc es.Aiming at the problem of whether the total amount of water resources can support th e social and economic development of Shenyang in the future,the present situation of w ater resources carrying capacity is evaluated and predicted.Established in line with the c haracteristics of Shenyang water resources carrying capacity evaluation standard and evalu ation index system,fuzzy recognition model with variable processing,results in a weaker level of carrying capacity of water resources in Shenyang City,but has gradually impro ved the trend.This method on the relative membership degree with traditional evaluation method evaluation standard interval into value result calculation accuracy is not high,i mprove the precision and results of evaluation of water resources carrying capacity evalu ation level of credibility.BP neural network model was used to predict the bearing capac ity of water resources in the range of allowable error.Furthermore,the prediction of the future water resources is made,and the results show that the bearing capacity of Sheny ang can reach the 3-3.5 level,close to the general level,and gradually improve with the growth of the year.Refer to the future water resources planning in Shenyang,and forecast the water de mand of 2020 and long-term planning in the near future in 2030.The results show that the future water quantity is still short,the future water demand is the focus of life and i ndustrial water,so it is necessary to optimize the allocation of water resources in Shenya ng in the future.According to the actual use of water resources in Shenyang,the multi-objective optimal allocation model of water resources is established,and the genetic algor ithm is used to solve the problem.At the same time,considering the influence of North west Liaoning water project on the future of optimal allocation of water resources,calcul ation of recent planning and long-term planning in 2020 2030 in accordance with the exi sting configuration results,water source of Shenyang city and the future northwest route of water supply water supply scheme diagram is given.The results of optimal allocation and water demand prediction are compared and analyzed.The results show that the imb alance between supply and demand of water resources in the future has slowed down bu t still exists.Multi objective genetic algorithm can avoid the premature convergence of t he traditional method,which leads to the problem of low calculation accuracy,which is suitable for solving the multi-objective optimal allocation of water resources.Finally,based on the Android system,the mobile GIS technology is combined with the research data of water resources and the calculation model,and the water resources s ystem based on mobile GIS is compiled.The realization of GPS positioning,data entry and export,map zoom operation,model calculation,the results show that the visual oper ating functions.This system is based on Android system,which is convenient to use in the field compared with the traditional GIS client.With the development and popularizati on of 4G network,it also provides a platform for the development of the system.In ad dition,the system can also help managers to grasp the macro information and the chang e of the water resource,clear water resources carrying capacity of the current situation o f the development of the state and the future,the output of the optimal allocation of wa ter resources,greatly improve the management of water resources and the level of visuali zation.In order to promote the development of water resources informatization,it provid es some guidance for the construction of water resources information based on mobile G IS technology.
Keywords/Search Tags:Bearing capacity of water resources, Optimal allocation of water resources, Mobile GIS, Android
PDF Full Text Request
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