Yeşil Altyapı Uygulamaları Kapsamında Biyotutma Sistemlerinin Yağmur Suyu Kirletici Giderim Verimlerinin Değerlendirilmesi

Gökçen Bayrak; Cansu Küp

doi:10.35674/kent.961967

EN TR

Evaluation of Stormwater Pollutant Removal Efficiency of Bioretention Systems within the Scope of Green Infrastructure Applications

Abstract

The effects of climate change are seen as excessive rainfall, erosion, floods, air pollution, water scarcity and drought in cities. Green infrastructure applications are used to reduce the effects of climate change in urban areas and to ensure environmental sustainability. With green infrastructure applications, by using bioretention systems as an ecological solution instead of structural solutions, both the treatment of stormwater from pollutants and the urban hydrological cycle are provided. Depending on the different land uses, various organic and inorganic substances carried by stormwater deteriorate the surface water quality. Bioretention systems reduce the amount of stormwater while at the same time reducing the pollutants in the water through physical, chemical and biological processes. In this study, the removal efficiencies of nitrogen, phosphorus and some heavy metals obtained in field studies were examined by considering the removal processes of various bioretention systems. It has been seen that removal efficiency varies depending on the pollutant type and concentration, types of land use, soil mixture prepared as a bioretention medium and the amount of precipitation. In this study, the removal efficiencies of nitrogen, phosphorus and some heavy metals obtained in field studies were examined by considering the removal processes of various bioretention systems. It has been seen that removal efficiency varies depending on the pollutant type and concentration, types of land use, soil mixture prepared as a bioretention medium and the amount of precipitation.

Keywords

Bioretention , Green infrastructure , Pollutant removal efficiency , urban stormwater , diffuse pollution

Yeşil Altyapı Uygulamaları Kapsamında Biyotutma Sistemlerinin Yağmur Suyu Kirletici Giderim Verimlerinin Değerlendirilmesi

Öz

İklim değişikliğinin etkileri kentlerde aşırı yağışlar, erozyon, seller, hava kirliliği, su kıtlığı, kuraklık olarak görülmektedir. İklim değişikliğinin kentsel alanlarda etkilerini azaltmak ve çevresel sürdürülebilirliğin sağlanması için yeşil altyapı uygulamaları karşımıza çıkmaktadır. Yeşil altyapı uygulamaları ile, yapısal çözümler yerine ekolojik çözüm olarak biyotutma sistemlerinin kullanılması ile hem yağmur suyunun kirleticilerden arıtılması hem de kentsel hidrolojik döngü sağlanmaktadır. Farklı alan kullanımlarına bağlı olarak yağmur suyuyla taşınan çeşitli organik ve inorganik maddeler yüzey suyu kalitesini bozmaktadır. Biyotutma sistemleri, akışa geçen yağmur suyu miktarını azaltırken aynı zamanda sudaki kirleticileri fiziksel, kimyasal ve biyolojik süreçlerle azaltmaktadır. Bu çalışmada, çeşitli biyotutma sistemlerinin giderim süreçleri göz önünde bulundurularak saha çalışmalarında elde edilen azot, fosfor ve bazı ağır metallerin giderim verimleri incelenmiştir. Giderim veriminin; kirletici tür ve konsantrasyonu, arazi kullanım çeşitleri, biyotutma ortamı olarak hazırlanan toprak karışımı ve yağış miktarına bağlı olarak değiştiği görülmüştür.

Anahtar Kelimeler

Biyotutma , Yeşil altyapı , Kirletici giderim verimi , Kentsel yağmur suyu , yayılı kirlilik.

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

Çevresel Olarak Sürdürülebilir Mühendislik

Bölüm

Derleme

Yazarlar

Gökçen Bayrak ^*
0000-0002-0423-4731
Türkiye

Cansu Küp
0000-0002-1370-7545
Türkiye

Yayımlanma Tarihi

15 Eylül 2021

Gönderilme Tarihi

3 Temmuz 2021

Kabul Tarihi

14 Eylül 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 14 Sayı: 3

DOI

https://doi.org/10.35674/kent.961967

IZ

https://izlik.org/JA42BM33MJ

APA

Bayrak, G., & Küp, C. (2021). Yeşil Altyapı Uygulamaları Kapsamında Biyotutma Sistemlerinin Yağmur Suyu Kirletici Giderim Verimlerinin Değerlendirilmesi. Kent Akademisi, 14(3), 853-866. https://doi.org/10.35674/kent.961967

Cited By

Forecasting Precipitation by Machine Learning Algorithms to Adapt Climate Change

JENAS Journal of Environmental and Natural Studies

https://doi.org/10.53472/jenas.1150975

International Refereed and Indexed Journal of Urban Culture and Management | Kent Kültürü ve Yönetimi Uluslararası Hakemli İndeksli Dergi

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Evaluation of Stormwater Pollutant Removal Efficiency of Bioretention Systems within the Scope of Green Infrastructure Applications

Abstract

Keywords

Yeşil Altyapı Uygulamaları Kapsamında Biyotutma Sistemlerinin Yağmur Suyu Kirletici Giderim Verimlerinin Değerlendirilmesi

Öz

Anahtar Kelimeler

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster

Cited By

Forecasting Precipitation by Machine Learning Algorithms to Adapt Climate Change