Deep Tunnel for Regulating Combined Sewer Overflow Pollution and Flood Disaster: A Case Study in Guangzhou City, China

Wu, Haichun; Huang, Guoru; Meng, Qingqiang; Zhang, Mingzhu; Li, Licheng

doi:10.3390/w8080329

Cited by 43 publications

(23 citation statements)

References 21 publications

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“…Over 80% of the annual precipitation falls during the rainy season from April to September [12,34]. This area is well known for its dense interlocking river network and has gone through dramatic urbanization over the past 20 years; the impervious land changed from 12,998 ha in 1990 to 59,911 ha in 2009 [35,36]. In the Tianhe (Site/Rain gauge 2) and Panyu (Site/Rain gauges 1, 3-6) Districts, the imperious land ratio (based on Landsat images) Water 2017, 9, 411 3 of 18 increased from 16% to 71% and from 2% to 40% from 1990 to 2013, respectively.…”

Section: Study Areamentioning

confidence: 99%

Improvement to the Huff Curve for Design Storms and Urban Flooding Simulations in Guangzhou, China

Pan

Wang

Liu

et al. 2017

Water

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Abstract:The storm hyetograph is critical in drainage design since it determines the peak flooding volume in a catchment and the corresponding drainage capacity demand for a return period. This study firstly compares the common design storms such as the Chicago, Huff, and Triangular curves employed to represent the storm hyetographs in the metropolitan area of Guangzhou using minute-interval rainfall data during 2008-2012. These common design storms cannot satisfactorily represent the storm hyetographs in sub-tropic areas of Guangzhou. The normalized time of peak rainfall is at 33 ± 5% for all storms in the Tianhe and Panyu districts, and most storms (84%) are in the 1st and 2nd quartiles. The Huff curves are further improved by separately describing the rising and falling limbs instead of classifying all storms into four quartiles. The optimal time intervals are 1-5 min for deriving a practical urban design storm, especially for short-duration and intense storms in Guangzhou. Compared to the 71 observed storm hyetographs, the Improved Huff curves have smaller RMSE and higher NSE values (6.43, 0.66) than those of the original Huff (6.62, 0.63), Triangular (7.38, 0.55), and Chicago (7.57, 0.54) curves. The mean relative difference of peak flooding volume simulated with SWMM using the Improved Huff curve as the input is only 2%, −6%, and 8% of those simulated by observed rainfall at the three catchments, respectively. In contrast, those simulated by the original Huff (−12%, −43%, −16%), Triangular (−22%, −62%, −38%), and Chicago curves (−17%, −19%, −21%) are much smaller and greatly underestimate the peak flooding volume. The Improved Huff curve has great potential in storm water management such as flooding risk mapping and drainage facility design, after further validation.

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Section: Study Areamentioning

confidence: 99%

Improvement to the Huff Curve for Design Storms and Urban Flooding Simulations in Guangzhou, China

Pan

Wang

Liu

et al. 2017

Water

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“…In this study, the formula for storm intensity (Equation (5)) was applied to calculate rainfall in Guangzhou. On the foundation of storm rainfall data over the last 30 years, this formula was derived using the multi sample method and is as follows [25,26]:…”

Section: Rainfall Simulationmentioning

confidence: 99%

Approach for Evaluating LID Measure Layout Scenarios Based on Random Forest: Case of Guangzhou—China

Liao

Zheng

Huang

et al. 2018

Water

Self Cite

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Currently, with the rapid development of many cities, water problems, such as water logging and water quality deterioration, occur inevitably. Thus, sponge city construction and low impact development (LID) utilization have become more important worldwide. However, previous works have failed to address the problem of selecting an optimal LID measure layout scenario by simultaneously considering various evaluation indices without subjective factors. In this study, we applied a new and outstanding statistical classifier, random forest, to aid in addressing this conundrum. It was tested on a case study in LiWan district, Guangzhou city. The following conclusions were drawn. (1) To some extent, LID measures are capable of reducing water discharge and generation of pollutants. (2) Excluding subjective factors, random forest can select an optimal LID measure layout scenario when simultaneously considering multiple indices. This study proposed a novel and effective means to evaluate the hydrologic effects of LID measures when constructing sponge cities and provided a guide for optimizing LID layouts.

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“…Konsep terowongan air (tunnel) itu sendiri dapat digunakan dalam beberapa tujuan atau fungsi dalam mengatasi banjir, salah satunya menurut Wu et. al (2016) menyatakan bahwa suatu tunnel direncanakan dan di-design untuk menyediakan penyimpana sementara untuk aliran banjir dan sewage system yang tidak mampu dialirkan secara bersamaan dalam suatu badan air guna mengurangi debit puncak banjir di hilir.…”

Section: Pendahuluanunclassified

Pemodelan Penerapan Terowongan Air (Tunnel) dalam Mengatasi Banjir Akibat Luapan Sungai Deli

Indrawan

Siregar

2018

JTS ITB

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Keterbatasan lahan untuk sistem pengendalian banjir di daerah perkotaan juga menjadi salah satu permasalahan. Berdasarkan hal tersebut, maka akan dianalisis sistem pengendalian banjir akibat meluapnya Sungai Deli dengan terowongan air (tunnel) dari bagian titik banjir Sungai Deli menuju muara Sungai di daerah Belawan. Tujuannya untuk menganalisis daerah genangan banjir dan mengurangi debit aliran dan beban Sungai Deli jika terjadi kenaikan debit air saat intensitas hujan di Kota Medan dan hulu Sungai Deli meningkat. Penerapan terowongan air (tunnel) tersebut sudah dilakukan dibeberapa negara maju untuk menanggulangi banjir perkotaan akibat luapan sungai. Metode yang dilakukan adalah dengan melakukan analisis penelusuran debit banjir metode Hidrograf Satuan Sintetis kemudian dilakukan pemodelan kondisi Sungai Deli sebelum dan sesudah ada tunnel dengan bantuan software HEC-RAS. Hasil yang diharapkan mampu menjadi salah satu solusi alternatif pengendalian banjir Kota Medan. Luas genangan banjir akibat luapan Sungai Deli untuk debit banjir kala ulang 25 tahun sebesar 3.69 Ha. Daerah yang berpotensi adanya genangan banjir

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Deep Tunnel for Regulating Combined Sewer Overflow Pollution and Flood Disaster: A Case Study in Guangzhou City, China

Cited by 43 publications

References 21 publications

Improvement to the Huff Curve for Design Storms and Urban Flooding Simulations in Guangzhou, China

Improvement to the Huff Curve for Design Storms and Urban Flooding Simulations in Guangzhou, China

Approach for Evaluating LID Measure Layout Scenarios Based on Random Forest: Case of Guangzhou—China

Pemodelan Penerapan Terowongan Air (Tunnel) dalam Mengatasi Banjir Akibat Luapan Sungai Deli

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