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1

Liwanag, Florife, Daniel S. Mostrales, Ma Teresa T. Ignacio, and Jerson N. Orejudos. "Flood Modeling Using GIS and PCSWMM." Engineering Journal 22, no. 3 (June 28, 2018): 279–89. http://dx.doi.org/10.4186/ej.2018.22.3.279.

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2

Munir, Bilal Ahmad, Sajid Rashid Ahmad, and Sidrah Hafeez. "Integrated Hazard Modeling for Simulating Torrential Stream Response to Flash Flood Events." ISPRS International Journal of Geo-Information 9, no. 1 (December 18, 2019): 1. http://dx.doi.org/10.3390/ijgi9010001.

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This study aims to monitor the flash flood response of Vidor/Wadore hill torrent in Pakistan by the integration of Personal Computer Storm Water Management Model PCSWMM (hydrologic) and HEC-RAS 5.x (hydraulic) models. The method leverages remote sensing and GIS derive estimates of measured and inferred parameters of Vidor rural catchment to quantify the flash flood events of the last four years: 2014–2017. The calibration of the PCSWMM is performed using the sensitivity-based radio tuning calibration (SRTC) tool. The Nash–Sutcliffe efficiency (NSE), coefficient of determination (R2), and relative error (RE) values were found between 0.75–0.97, 0.94–0.98, and −0.22–−0.09 respectively. The statistical indicators prove the accuracy of PCSWMM for rural catchments. The runoff response of Vidor torrent is also analyzed for 0.5/12.7, 1.5/38.1, and 2.0/50.8-inch/mm rainfall hyetographs. The generated hydrographs are used to simulate 2D-module in HEC-RAS 5.x for floodplain demarcation in the piedmont area. The accuracy of the flood extent is analyzed using spatial overlay analogy in the ArcGIS environment by comparing simulated and historically available flood extents. The simulated flood extent shows 76% accuracy with historic flood extent. The impact of flash flood events shows wheat, maize, and fruit orchards are the most effected agriculture in piedmont area. The results revealed that the integration of hydrological, hydraulic, and geospatial modeling approaches can be used to model a full picture of catchment response during flash flood events.
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3

Lee, Kil-Seong, and Sung-Eun Kim. "Temporal and Spatial Analysis of Extended Sewer Surcharge on Anyangcheon Watershed Using PCSWMM." Journal of Korea Water Resources Association 40, no. 4 (April 30, 2007): 345–57. http://dx.doi.org/10.3741/jkwra.2007.40.4.345.

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4

Yang, Q. Q., Z. D. Bao, Y. Fu, N. She, and Z. Y. Deng. "Diagnostic analysis of waterlogging in Zhenjiang City by using PCSWMM." IOP Conference Series: Earth and Environmental Science 344 (November 1, 2019): 012139. http://dx.doi.org/10.1088/1755-1315/344/1/012139.

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5

Azawi, Hayat Kareem Shukur, and Dawood Eisa Sachit. "Investigation of Permeable Pavement Implementation in Baghdad Using PCSWMM Model." Environment and Natural Resources Research 8, no. 3 (September 20, 2018): 117. http://dx.doi.org/10.5539/enrr.v8n3p117.

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One of the most important reasons for the frequent occurrence of rainwater flooding in Baghdad in general and Al-Huryai, part of Baghdad, in particular is the lack of runoff drainage systems in conventional pavement. Incidents of flooding have occurred on an average three times per year in many parts of the town due to heavy rain of high intensity and short duration. Using permeable pavement will help to control flooding and improve public health. The objective of this study is to investigate the important factors that describe the possible implementation of permeable pavement in Al-Huryai city using PCSWMM software and to quantify the effectiveness of this technique on the hydrologic response of the case study by comparing the simulation analyses of the site under its undeveloped condition, after development, and after implementing permeable pavement. The simulation results showed that permeable pavement approach has a significant impact on runoff reduction.
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6

Smith, D., J. Li, and D. Banting. "A PCSWMM/GIS-based water balance model for the Reesor Creek watershed." Atmospheric Research 77, no. 1-4 (September 2005): 388–406. http://dx.doi.org/10.1016/j.atmosres.2004.12.010.

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7

Liu, Mengqi, Zhiye Chen, and Lin Ma. "Test–retest reliability of perfusion of the precentral cortex and precentral subcortical white matter on three-dimensional pseudo-continuous arterial spin labeling." Journal of International Medical Research 46, no. 9 (June 21, 2018): 3788–95. http://dx.doi.org/10.1177/0300060518779716.

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Objective This study was performed to evaluate the test–retest reliability of perfusion of the cortex and subcortical white matter on three-dimensional spiral fast spin echo pseudo-continuous arterial spin labeling (3D-ASL). Methods Eight healthy subjects underwent 3D-ASL and structural imaging at the same time each day for 1 week. ASL data acquisition was performed in the resting state and right finger-tapping state. Cerebral blood flow (CBF) images were calculated, and the CBF values of the precentral cortex (PCC) and precentral subcortical white matter (PCSWM) were automatically extracted based on the structural images and CBF images. Results In the resting state, the intraclass correlation coefficient (ICC) of the bilateral PCC was 0.84 (left) and 0.81 (right) and that of the bilateral SCWM was 0.89 (left) and 0.85 (right). In the finger-tapping state, the ICC of the bilateral PCC was 0.91 (left) and 0.87 (right) and that of the bilateral PCSWM was 0.87 (left) and 0.92 (right). The CBF value of the left PCC and PCSWM was not significantly different between the resting state and finger-tapping state on two ASL scans. Conclusion 3D-ASL provides reliable CBF measurement in the cortex and subcortical white matter in the resting or controlled state.
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8

Yim, S., C. Aing, S. Men, and C. Sovann. "Applying PCSWMM for Stormwater Management in the Wat Phnom Sub Catchment, Phnom Penh, Cambodia." Journal of Geography, Environment and Earth Science International 5, no. 3 (January 10, 2016): 1–11. http://dx.doi.org/10.9734/jgeesi/2016/23525.

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9

Pitt, Jerome L., and Nathan Jacobsen. "Evaluating the Impact from Stormwater Runoff from Proposed Developments in Southern California using PCSWMM." Proceedings of the Water Environment Federation 2004, no. 4 (January 1, 2004): 1128–45. http://dx.doi.org/10.2175/193864704790896973.

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10

Vieira de Paula, Ana Carolina, Maria Elisa Leite Costa, and Sergio Koide. "Estudo experimental e modelagem de lagoa de detenção em Brasília - DF: comportamento no amortecimento de cheias." Revista DAE 69, no. 232 (September 24, 2021): 30–44. http://dx.doi.org/10.36659/dae.2021.059.

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A ocupação do espaço urbano ocasiona, em geral, o aumento das áreas impermeabilizadas e a aceleração do escoamento para jusante, provocando maiores picos de vazão e volumes escoados superficialmente. De forma a minimizar os efeitos das cheias urbanas, várias medidas vêm sendo adotadas e, dentre elas, destacam-se as lagoas de detenção. No presente trabalho, teve-se por objetivo avaliar o comportamento da lagoa de detenção inserida no Parque Ezechias Heringer, na Região Administrativa do Guará/DF, por meio de monitoramento e modelagem utilizando o programa SWMM por meio da interface do PCSWMM, buscando avaliar a eficiência da lagoa quanto ao amortecimento dos picos de vazões. O afluente para a lagoa de detenção é oriundo de sistema convencional de drenagem urbana com 7,65 km2 de área de contribuição. A lagoa apresentou eficiência média de redução dos picos de cheia de 95,5%, mostrando-se capaz de receber maior volume de águas pluviais de áreas adjacentes ainda não atendidas. Palavras-chave: Drenagem urbana sustentável. Onda de cheia. Monitoramento.
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11

Hamouz, Vladimír, Per Møller-Pedersen, and Tone Merete Muthanna. "Modelling runoff reduction through implementation of green and grey roofs in urban catchments using PCSWMM." Urban Water Journal 17, no. 9 (October 12, 2020): 813–26. http://dx.doi.org/10.1080/1573062x.2020.1828500.

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12

Sousa, Mauro César de Brito, Renato Alves Pedrosa, Bruna De Freitas Iwata, and Sammya Vanessa Vieira Chaves. "Uso de telhados verdes para controle de águas pluviais urbanas em Teresina – Piauí." Revista de Geografia 38, no. 2 (July 23, 2021): 148. http://dx.doi.org/10.51359/2238-6211.2021.246116.

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Ao longo dos últimos anos, o meio científico tem exposto suas críticas quanto à flexibilidade limitada das soluções convencionais de drenagem no combate às inundações urbanas. Atualmente, novas tecnologias têm surgido com intuito de garantir soluções sustentáveis ao gerenciamento urbano de águas pluviais, sendo chamadas de Desenvolvimento Urbano de Baixo Impacto (Low Impact Development-LID). Este estudo avaliou o uso desses dispositivos na bacia hidrográfica PD14 localizada na cidade de Teresina, Piauí, observando os efeitos de sua implementação para mitigação de escoamentos superficiais. O software PCSWMM foi utilizado para modelagem de LIDs do tipo telhado verde na área de estudo, considerando dois cenários diferentes de abrangência das LIDs modeladas. A partir da análise dos cenários modelados, observou-se a redução do volume total de água escoada variando entre 4,7 % e 12,13%, além da redução do pico de escoamento e atraso no início do deflúvio. Os resultados demonstraram a utilidade prática do uso de telhados verdes como medida eficaz de controle e mitigação do escoamento superficial em bacias urbanas.
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13

Kamal, Norashikin Ahmad, Heekyung Park, and Sangmin Shin. "Assessing the viability of microhydropower generation from the stormwater flow of the detention outlet in an urban area." Water Supply 14, no. 4 (March 20, 2014): 664–71. http://dx.doi.org/10.2166/ws.2014.022.

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Small-scale hydropower is the generation of electrical power of 10 MW or less from the transformation of kinetic energy in flowing water to mechanical energy in a rotating turbine to electrical energy in a generator. The technology is especially useful when installed with a stormwater infrastructure in countries teeming with abundant rainfall. It is upon this concept that this study is being pursued to assess the implementation of microhydropower within a stormwater infrastructure. In order to achieve sustainability of development, small-scale hydropower should be beneficial in the implementation of stormwater infrastructure, especially in countries that have abundant rainfall. The aim of this study is to provide an assessment method for microhydropower implementation within a stormwater infrastructure. PCSWMM software was used to simulate the flowing water at a detention outlet. Modification of the current detention pond was made to optimise the quantity and quality of water supplied to the turbine. Two important parameters in the modification design are quantity and quality of storm water, which optimise the energy generated. The total power that can be harnessed from the design is theoretically from 500 W to 0.5 MW. Therefore, it can be safely concluded that the implementation of microhydropower within a stormwater infrastructure is technologically feasible.
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14

Tuấn Hải, Bùi, Lê Viết Sơn, Nguyễn Duy Quang, Phạm Văn Trình, and Bùi Thế Văn. "Nghiên cứu ứng dụng mô hình PCSWMM trong mô phỏng ngập úng hệ thống thủy lợi Bắc Nam Hà." Vietnam Journal of Hydrometeorology 729, no. 9 (September 25, 2021): 14–28. http://dx.doi.org/10.36335/vnjhm.2021(729).14-28.

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15

Costa, Maria Elisa Leite, Thays Mitsuko Tsuji, and Sérgio Koide. "Modelagem hidrológica e hidráulica usando o SWMM - Storm Water Management Model na bacia urbana do Riacho Fundo I - Distrito Federal." Research, Society and Development 10, no. 1 (January 3, 2021): e6010111458. http://dx.doi.org/10.33448/rsd-v10i1.11458.

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Este artigo trata-se de uma modelagem hidrológica e hidráulica do sistema de drenagem urbana na Região Administrativa do Riacho Fundo I no Distrito Federal a partir dos dados de chuva e vazão monitorados em 21 eventos entre 2018 e 2019 com o modelo SWMM - Storm Water Management Model. O objetivo do trabalho foi analisar a calibração do modelo chuva-vazão para a área de estudo a fim de validar o uso da ferramenta na gestão de drenagem urbana. Foi utilizado o programa PCSWMM que dispõe do calibrador automático SRTC, que permite a variação dos parâmetros por meio da análise de incertezas. A simulação foi feita de maneira contínua, com análise de cada evento individualmente, sendo o evento do dia 12/03/19 o que apresentou as melhores funções objetivos quando calibrados (ISE= 4,64, NSE= 0,851, R²=0,865, SEE=0,466, LSE=17,4, RMSE=3,28). Com o modelo calibrado, 20 eventos foram validados e apesar de 40% deles apresentarem o NSE negativo devido a superestimação da Qpico, o modelo foi considerado satisfatório, tendo em vista que este problema pode ser atribuído a dificuldade de medição de grandes vazões. Logo, o êxito na calibração e validação do modelo hidrológicos e hidráulico proposto para a região foi atingido. Essas ferramentas são importantes para o manejo das águas pluviais, inclusive para o dimensionamento dos sistemas com medidas compensatórias.
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16

Knight, Kathryn L., Guangyang Hou, Aditi S. Bhaskar, and Suren Chen. "Assessing the Use of Dual-Drainage Modeling to Determine the Effects of Green Stormwater Infrastructure on Roadway Flooding and Traffic Performance." Water 13, no. 11 (May 31, 2021): 1563. http://dx.doi.org/10.3390/w13111563.

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Green stormwater infrastructure (GSI) is increasingly used to reduce stormwater input to the subsurface stormwater network. This work investigated how GSI interacts with surface runoff and stormwater structures to affect the spatial extent and distribution of roadway flooding and subsequent effects on the performance of the traffic system using a dual-drainage model. The model simulated roadway flooding using PCSWMM (Personal Computer Stormwater Management Model) in Harvard Gulch, Denver, Colorado, and was then used in a microscopic traffic simulation using the Simulation of Urban Mobility Model (SUMO). We examined the effect of converting between 1% and 5% of directly connected impervious area (DCIA) to bioretention GSI on roadway flooding. The results showed that even for 1% of DCIA converted to GSI, the extent and mean depth of roadway flooding was reduced. Increasing GSI conversion further reduced roadway flooding depth and extent, although with diminishing returns per additional percentage of DCIA converted to GSI. Reduced roadway flooding led to increased average vehicle speeds and decreased percentage of roads impacted by flooding and total travel time. We found diminishing returns in the roadway flooding reduction per additional percentage of DCIA converted to GSI. Future work will be conducted to reduce the main limitations of insufficient data for model validation. Detailed dual-drainage modeling has the potential to better predict what GSI strategies will mitigate roadway flooding.
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17

Rangari, V. A., R. Gonugunta, N. V. Umamahesh, A. K. Patel, and C. M. Bhatt. "1D-2D MODELING OF URBAN FLOODS AND RISK MAP GENERATION FOR THE PART OF HYDERABAD CITY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 445–50. http://dx.doi.org/10.5194/isprs-archives-xlii-5-445-2018.

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<p><strong>Abstract.</strong> Space for water is now becoming guiding principle of urban planning because urban flooding is the major problem facing by most of the cities in India. Urban development in developing countries like India usually occurs with high population concentrating in small areas, with poor drainage conditions. People occupy floodplain areas in low flood years and when larger flood occurs it causes high damage. The origin for urban floods is floodplains encroachment and unplanned drainage systems. Complexities in the urban environment and drainage infrastructure have an inherent influence on surface runoff. This runoff generates urban flooding which poses challenges to modeling urban flood hazard and risk. As like in river flooding satellite images are not available for unban flooding scenario. So better modelling provides minimizing loss of life and property. The present study focuses on recognizing the highly effected areas which are liable to flooding when extreme rainfall occurs for part of Hyderabad city (Zone XIII). The entire Hyderabad city is divided into 16 zones and each zone having details of existing drain network. A coupled 1D-2D flood modelling approach is used to identify flood prone areas and develop flood inundation and flood risk maps. 1D model for pilot area is developed using storm water management model (SWMM) and coupled with 2D PCSWMM. A web based GIS platform INPPINS is used to geo reference the existing network details and exported to 1D SWMM model. The model is simulated for extreme flood event occurred in past. The simulation run results identifies overflowing drainage nodes and flood inundation maps and risk maps prepared. The flood risk maps identify the low lying areas which need immediate attention in case of emergency. The overflowing nodes suggest the need of improvement of drainage in the area to safely dispose of the storm water and minimize the flooding.</p>
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18

Akhter, Muhammad, and Guna Hewa. "The Use of PCSWMM for Assessing the Impacts of Land Use Changes on Hydrological Responses and Performance of WSUD in Managing the Impacts at Myponga Catchment, South Australia." Water 8, no. 11 (November 4, 2016): 511. http://dx.doi.org/10.3390/w8110511.

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19

McGill, Julie A., Greg Barden, Gibson Chen, and Rob James. "Modeling Approach using PCSWMM to Support Infiltration/Inflow Remediation Area Studies." Journal of Water Management Modeling, 2007. http://dx.doi.org/10.14796/jwmm.r227-17.

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20

"Mathematical Modelling of Wastewater Collection System in Cha-Am Municipality using PCSWMM." International Journal of Advances in Agricultural and Environmental Engineering 3, no. 2 (January 11, 2017). http://dx.doi.org/10.15242/ijaaee.c1216203.

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21

Finney, Karen, Rob James, William James, and Tiehong Xiao. "Efficiency and Accuracy of Importing HEC-RAS Datafiles into PCSWMM and SWMM5." Journal of Water Management Modeling, 2013. http://dx.doi.org/10.14796/jwmm.r246-05.

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22

Perrelli, Mary, and Kim Irvine. "Planning Level Modeling of E. coli levels in a Suburban Watershed Using PCSWMM." Journal of Water Management Modeling, 2013. http://dx.doi.org/10.14796/jwmm.r246-23.

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23

Charbonneau, Caroline, and Andrea Bradford. "Wetland Modeling in PCSWMM: Exploring Options to Define Wetland Features and Incorporate Groundwater Exchanges." Journal of Water Management Modeling, 2016. http://dx.doi.org/10.14796/jwmm.c411.

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24

Ertezaei, Bahareh, Lisa Ponce, Anthony Dietrich, and Cyndee L Gruden. "Realtime Water Depth Logger Data as Input to PCSWMM to Estimate Tree Filter Performance." Journal of Water Management Modeling, 2018. http://dx.doi.org/10.14796/jwmm.c457.

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25

Irvine, Kim, Ian Droppo, T. P. Murphy, and Mark Stirrup. "Annual Loading Estimates of Selected Metals and PAHs in CSOs, using a Continuous PCSWMM Approach." Journal of Water Management Modeling, 1998. http://dx.doi.org/10.14796/jwmm.r200-20.

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26

Talbot, Michael, Olivia McGuire, Cecilio Olivier, and Ryan Fleming. "Parameterization and Application of Agricultural Best Management Practices in a Rural Ontario Watershed Using PCSWMM." Journal of Water Management Modeling, 2016. http://dx.doi.org/10.14796/jwmm.c400.

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27

Bhowmick, Anuva, Kim Irvine, and Ranjna Jindal. "Mathematical Modeling of Effluent Quality of Cha-Am Municipality Wastewater Treatment Pond System Using PCSWMM." Journal of Water Management Modeling, 2017. http://dx.doi.org/10.14796/jwmm.c423.

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Irvine, Kim, B. G. Loganathan, Ellen Pratt, and H. C. Sikka. "Calibration of PCSWMM to Estimate Metals, PCBs and HCB in CSOs from an Industrial Sewershed." Journal of Water Management Modeling, 1993. http://dx.doi.org/10.14796/jwmm.r175-10.

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Finney, Karen, and Bahram Gharabaghi. "Using the PCSWMM 2010 SRTC Tool to Design a Compost Biofilter for Highway Stormwater Runoff Treatment." Journal of Water Management Modeling, 2011. http://dx.doi.org/10.14796/jwmm.r241-09.

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30

Irvine, Kim, and Lloyd Chua. "Modeling Stormwater Runoff from an Urban Park, Singapore Using PCSWWM." Journal of Water Management Modeling, 2016. http://dx.doi.org/10.14796/jwmm.c410.

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31

Shaneyfelt, Kathryn M., Jeffrey P. Johnson, and William F. Hunt. "Hydrologic Modeling of Distributed Stormwater Control Measure Retrofit and Examination of Impact of Subcatchment Discretization in PCSWMM." Journal of Sustainable Water in the Built Environment 7, no. 3 (August 2021). http://dx.doi.org/10.1061/jswbay.0000938.

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32

Beganskas, Sarah, Robert J. Ryan, Evelyn Walters, Manahel Soro, Elizabeth Cushman, and Laura Toran. "Coupling PCSWMM and WASP to Evaluate Green Stormwater Infrastructure Impacts to Storm Sediment Loads in an Urban Watershed." JAWRA Journal of the American Water Resources Association, December 2, 2020. http://dx.doi.org/10.1111/1752-1688.12896.

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Rivard, Gilles, Richard Frenette, Mikhail Bolgov, and Serguey Pozgniakov. "Modeling Surface Runoff, Groundwater Flow and their Interaction with PCSWMM and MODFLOW - for the City of Rostov the Great, Russia." Journal of Water Management Modeling, 2004. http://dx.doi.org/10.14796/jwmm.r220-04.

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Shrestha, Ashish, Thitirat (Aliz) Chaosakul, Dedduwa P. M. P. Priyankara, Ly Hong Chuyen, Su Su Myat, Nan Kham Syne, Kim Irvine, Thammarat Koottatep, and M. S. Babel. "Application of PCSWMM to Explore Possible Climate Change Impacts on Surface Flooding in a Peri-Urban Area of Pathumthani, Thailand." Journal of Water Management Modeling, 2014. http://dx.doi.org/10.14796/jwmm.c377.

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35

Irvine, Kim, Chansopheaktra Sovann, Sthiannopkao Suthipong, Sothea Kok, and Eliyan Chea. "Application of PCSWMM to Assess Wastewater Treatment and Urban Flooding Scenarios in Phnom Penh, Cambodia: A Tool to Support Eco-City Planning." Journal of Water Management Modeling, 2015. http://dx.doi.org/10.14796/jwmm.c389.

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