Secondary benefits of urban flood protection

Doeffinger, Tess; Rubinyi, Steven

doi:10.1016/j.jenvman.2022.116617

Cited by 8 publications

(6 citation statements)

References 30 publications

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“…As shown in the figure, the bioretention drainage channel is made of an outer casing (1), which contains four side walls (2) and a connecting bottom wall (3), in which there are drainage holes (4). In the inner space of the channel, a filter-insert ( 5) is hung, containing four vertical walls (6) and a bottom wall (7) connecting them. To the vertical walls of the filter-insert, handles are fixed (8).…”

Section: Characteristics Of a New Bioretention Drainage Channel Solutionmentioning

confidence: 99%

“…Traditional drainage systems that were designed years ago for different terrain and hydrological conditions are often unable to drain large amounts of rainwater in a short period of time, leading to the occurrence of so-called urban floods [4,5]. These events are often catastrophic in their consequences, causing not only economic but also social losses [6,7].…”

Section: Introductionmentioning

confidence: 99%

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New Bioretention Drainage Channel as One of the Low-Impact Development Solutions: A Case Study from Poland

Stec

Słyś

2023

Resources

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In recent years, as a result of intensive urbanisation, a significant increase in the surface of impermeable areas has been observed, which results in changes in the hydrological cycle of catchments. In order to counteract these changes, low-impact development (LID) solutions are increasingly being implemented in urban catchments, including bioretention systems. Taking this into account, a new bioretention drainage channel (BRC) was designed, whose main task is retention, infiltration, and pre-treatment of rainwater. The pilot laboratory tests carried out on two BRC prototypes (K1 and K2) showed that the average rate of reduction of mineral-suspended solids from rainwater was 69% and 57%, respectively, for K1 and K2. Analysing the results of the research, it was found that the bioretention drainage channel is characterised by very high efficiency in removing petroleum hydrocarbons from rainwater, and the reduction rate of these pollutants for both the K1 and K2 channels was close to 100%. In turn, hydrodynamic studies carried out on the model of the urban catchment showed that the implementation of BRCs will reduce the peak runoff by more than 82%, and the maximum flow in the sewage network by 83%.

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Section: Characteristics Of a New Bioretention Drainage Channel Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

New Bioretention Drainage Channel as One of the Low-Impact Development Solutions: A Case Study from Poland

Stec

Słyś

2023

Resources

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“…MCA berbasis GIS dapat dianggap sebagai seperangkat teknik dan prosedur yang mengubah dan menggabungkan data geografis dan preferensi pembuat keputusan untuk mendapatkan informasi pengambilan keputusan (Pham et al, 2023). Integrasi MCA dengan GIS untuk menganalisis zona bahaya banjir bergantung pada distribusi geografis alternatif dan pertimbangan nilai yang tergabung dalam proses pengambilan keputusan, dan menyediakan peta dasar untuk perencanaan dan perumusan yang lebih fleksibel dan keputusan risiko yang akurat (Doeffinger & Rubinyi, 2023). Penelitian ini merupakan penelitian pertama terkait pemetaan daerah rawan banjir berbasis spasial di Kecamatan Sirimau, Kota Ambon, sebelumnya sudah ada penelitian serupa di Kota Ambon tentang banjir tetapi lokasi kajian masih kecil seperti yang dilakukan oleh Tentua et al, (2018) Tantangan utama dalam menghasilkan peta zonasi bahaya banjir adalah untuk mengidentifikasi faktor-faktor penyebab bencana banjir dan faktor-faktor lingkungan penyebab bencana berdasarkan kondisi aktual wilayah studi dan karakteristik banjir lokal, dan menyiapkan peta-peta tematik yang sesuai dalam format geospasial.…”

Section: Pendahuluanunclassified

Pemodelan Daerah Rawan Banjir di Kecamatan Sirimau Menggunakan Metode Multi-Criteria Analysis (MCA)

Philia

Septory²,

Somae³

et al. 2023

JPWK

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Kecamatan Sirimau merupakan salah satu kecamatan di Kota Ambon yang sering terjadi banjir. Salah satu upaya awal untuk mitigasi bencana banjir yaitu dengan memetakan daerah rawan banjir di Kecamatan Sirimau. Penelitian ini bertujuan untuk memodelkan daerah rawan banjir Di Kecamatan Sirimau menggunakan metode Multi-Criteria Analysis (MCA). Variabel-variabel penyebab banjir yang digunakan yaitu kemiringan lereng, ketinggian, penggunaan lahan, buffer sungai, jenis tanah dan curah hujan yang kemudian dilakukan overlay menggunakan metode Multi-Criteria Analysis (MCA). Bahaya banjir di Kecamatan Sirimau dibagi menjadi tiga kelas yaitu kelas tinggi yang memiliki luas 540,09 ha atau 14,59%, kelas sedang seluas 1.607,14 ha atau 43,41% dan kelas rendah seluas 1.555,34 ha atau sebesar 42,01%. Daerah permukiman yang terdampak banjir di Kecamatan Seirmau berada pada kelas sedang seluas 660,16 ha (58,20 %) dan kelas tinggi yaitu seluas 474,21 ha atau sebesar 41,80 %. Desa yang memiliki presentasi luasan bahaya banjir terbesar pada setiap kelas bahaya banjir yaitu Desa Batu Merah. Hasil penelitian ini diharapkan dapat membantu pemerintah dan masyarakat setempat untuk metigasi bencana banjir kedepannya.

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“…Floods rank among the most severe natural disasters, resulting in substantial economic losses and tragic loss of human life on an annual basis. Between 1980 and 2016, flood-related incidents caused more than 240,000 deaths and caused damages amounting to almost USD 1 trillion [1]. The economic impact of floods in Australia is considerable, with the average annual flood damage amounting to more than AUD 377 million and infrastructure that necessitates design flood estimates valued at over AUD 1 billion per year.…”

Section: Introductionmentioning

confidence: 99%

Peaks-Over-Threshold-Based Regional Flood Frequency Analysis Using Regularised Linear Models

Pan,

Yildirim,

Rahman

et al. 2023

Water

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Regional flood frequency analysis (RFFA) is widely used to estimate design floods in ungauged catchments. Most of the RFFA techniques are based on the annual maximum (AM) flood model; however, research has shown that the peaks-over-threshold (POT) model has greater flexibility than the AM model. There is a lack of studies on POT-based RFFA techniques. This paper presents the development of POT-based RFFA techniques, using regularised linear models (least absolute shrinkage and selection operator, ridge regression and elastic net regression). The results of these regularised linear models are compared with multiple linear regression. Data from 145 stream gauging stations of south-east Australia are used in this study. A leave-one-out cross-validation is adopted to compare these regression models. It has been found that the regularised linear models provide quite accurate flood quantile estimates, with a median relative error in the range of 37 to 47%, which outperform the AM-based RFFA techniques currently recommended in the Australian Rainfall and Runoff guideline. The developed RFFA technique can be used to estimate flood quantiles in ungauged catchments in the study region.

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Secondary benefits of urban flood protection

Cited by 8 publications

References 30 publications

New Bioretention Drainage Channel as One of the Low-Impact Development Solutions: A Case Study from Poland

New Bioretention Drainage Channel as One of the Low-Impact Development Solutions: A Case Study from Poland

Pemodelan Daerah Rawan Banjir di Kecamatan Sirimau Menggunakan Metode Multi-Criteria Analysis (MCA)

Peaks-Over-Threshold-Based Regional Flood Frequency Analysis Using Regularised Linear Models

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