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Green Space Optimization For SJZU Based On Stagnation Capacity

Posted on:2021-08-12Degree:MasterType:Thesis
Country:ChinaCandidate:C YuFull Text:PDF
GTID:2532306302972489Subject:Landscape architecture study
Abstract/Summary:PDF Full Text Request
With the massive construction of cities in China,the rapid expansion of the impervious underwater mat surface has blocked the natural impervious function of the soil.In the natural environment,"rainfall-water storage-infiltration-runoff-evaporation" The hydrological cycle is gradually missing.Ignoring the circulation process of rainwater in the natural environment.at the same time,the permeability of the ground surface is reduced,the vegetation interception function is largely missing,and it also indirectly increases the drainage pressure of the drainage system.The green space in the city is an important part of the urban ecosystem,especially the potential for mitigating urban floods,storing stormwater runoff,and reducing peak flow,etc.is considerable.By studying the maximum stagnant storage capacity of soil and vegetation in green space,to understand the amount of rainwater absorption and retention of green land in the process of rainfall,analyze the differences and causes of rainwater stagnant storage capacity of different vegetation structures and green land,and carry out Greenland planning provides ideas.Taking the green space and vegetation on the campus of Shenyang Jianzhu University as the experimental objects.the stagnation capacity of different vegetation structure types of green space on the campus is quantified by experimental measurement and remote sensing methods.The results showed that the stable infiltration rate of green soil in the campus had the greatest correlation with soil bulk density and capillary porosity,with an average of 0.12cm/min,and the green soil soil infiltration performance of the Qiao-irrigation-grass vegetation type was the best(P<0.05);Qiao-irrigation-grass vegetation type of green space has the strongest soil stagnant storage capacity per unit area(P<0.05)of 0.33m3,and the linear regression with soil bulk density is the most significant;20cm aquifer soil and vegetation on the campus can accumulate stagnant storage The total amount of rainwater reaches 63117.72m3.Under the condition of rainfall intensity once in 50 years,the amount of rainwater that can be stagnated in the green space on campus reaches 88.15%of the total rainfall on campus.Finally,based on the status quo of the green space retention capacity in the campus,according to the corresponding landscape requirements of the green space in different functional areas,combined with the analysis results of the green space retention capacity in the campus,on the basis of quantifying the green space retention capacity in the campus,different functions are summarized The optimization method of green space,and the optimization of the green space in the low-lying areas of the campus and the area prone to water accumulation on the campus,reduce the risk of waterlogging in the water-prone area on the campus,and improve the overall stagnant storage capacity of the green space on the campus.In this study,green land was used to intercept the surface runoff generated by the urban surface,reducing part of the surface runoff.At the same time,using natural means such as the structural form of the vegetation and the physical and chemical properties of the soil to regulate and store rainwater,the formation rate of waterlogging was mitigated.It can achieve the purpose of reducing the drainage pressure on urban municipal facilities and the cost of expansion and reconstruction.To provide a method for regenerating the detention and storage function of green land that needs to be controlled by rain and flood in the city,based on the rain and flood safety and the detention and storage function of green land,a method and relevant basis for optimizing the design of green land are proposed.
Keywords/Search Tags:stagnation capacity, soil infiltration, vegetation interception, campus green space
PDF Full Text Request
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