Study On Optimization Of Spatial Pattern Of Green Space In Waterlogging Risk Area Of Shenyang Based On Storage Effect

With the acceleration of China’s urbanization process,the problem of urban rain and flood has become increasingly serious.The urbanization construction has intensified the rigidity of the underlying surface,resulting in frequent urban waterlogging disasters.However,the traditional coping method that only relies on increasing the drainage capacity of urban municipal pipe networks has been difficult to meet the needs of urban stormwater management.Since the concept of "sponge city" was first proposed in 2012,it has aroused the attention of various professional fields to urban water environment governance.The urban green space system is an important component in the construction of the urban sponge system.The study of the impact of its spatial layout on the detention effect of green space will become an indispensable component.The combination of green space systems and municipal infrastructure will jointly increase the efficiency of rainwater storage and storage.More complex ecological requirements for sustainable development.Based on the actual situation in China,this thesis mainly researches the following three aspects: the simulation of the rainwater process in Shenyang and the identification of waterlogging risk areas;the impact of urban green space landscape patterns on the stagnant effect of green spaces;and the waterlogging risk areas under the target of increasing storage capacity Greenland system pattern optimization strategy.The paper mainly draws the following preliminary research conclusions:(1)Complete the evaluation of waterlogging risks in urban areas,and identify the areas of waterlogging risks.Based on the SCS hydrological model and GIS platform,the precipitation process in the study area was simulated,and the inundation range under different rainfall conditions in the central urban area of Shenyang was obtained.Then,a flood risk evaluation system was constructed based on hazard factors,disaster mitigation capabilities,and vulnerability levels.Screening of six types of evaluation indicators: flood intensity,local rainfall intensity,drainage capacity,surface hardening degree,land use type,and population density.The risk level is evaluated to identify the waterlogging risk areas within the urban area of Shenyang.(2)In this paper,the landscape pattern index method is used to evaluate the feedback landscape pattern of green space in urban and site scales in the study area,and an attempt is made to use mathematical and statistical methods such as correlation analysis and regression analysis to evaluate the green landscape pattern at two research scales.Analysis of the relationship with flood risk.It is concluded as follows: With a certain rate of urban green space,the spatial pattern of green space also affects the detention efficiency of green space.At the urban scale,the correlation pattern of various types of green space landscape pattern index and waterlogging risk is as follows: Greenland scale characteristic index> Greenland morphological feature index> Greenland distribution characteristic index;At the site scale,various greenland landscape pattern indexes affect the risk of waterlogging The size is: green space distribution characteristic index> green space scale characteristic index> green land shape characteristic index.(3)Based on the existing green space system characteristics of Shenyang urban area,the optimization factors and optimization hierarchy system of green land storage capacity are constructed from the two levels of urban area and waterlogging point.Aiming at the urban scale of the urban area and the site,a green space spatial pattern optimization strategy was proposed.