Application of the Self-organizing Map (SOM) to Characterize Nutrient Urban Runoff

Urban stormwater runoff is considered worldwide as one of the most critical diffuse pollutions since it transports contaminants that threaten the quality of receiving water bodies and represent a harm to the aquatic ecosystem. Therefore, a thorough analysis of nutrient build-up and wash-off from impervious surfaces is crucial for effective stormwater-treatment design. In this study, the self-organizing map (SOM) method was used to simplify a complex dataset that contains precipitation, flow rate, and water-quality data, and identify possible patterns among these variables that help to explain the main features that impact the processes of nutrient build-up and wash-off from urban areas. Antecedent dry weather, among the rainfall-related characteristics, and sediment transport resulted in being the most significant factors in nutrient urban runoff simulations. The outcomes of this work will contribute to facilitating informed decision making in the design of management strategies to reduce pollution impacts on receiving waters and, consequently, protect the surrounding ecological environment.

[1]  Cristiane Q. Surbeck,et al.  Flow fingerprinting fecal pollution and suspended solids in stormwater runoff from an urban coastal watershed. , 2006, Environmental science & technology.

[2]  R. Horton.  An Approach Toward a Physical Interpretation of Infiltration-Capacity1 , 1941 .

[3]  George B. Arhonditsis,et al.  Non-Point-Source Impacts on Stream Nutrient Concentrations Along a Forest to Urban Gradient , 2005, Environmental management.

[4]  A. Gioia,et al.  A Framework for Assessing Modeling Performance and Effects of Rainfall-Catchment-Drainage Characteristics on Nutrient Urban Runoff in Poorly Gauged Watersheds , 2019, Sustainability.

[5]  A. Gioia,et al.  A Rationale for Pollutograph Evaluation in Ungauged Areas, Using Daily Rainfall Patterns: Case Studies of the Apulian Region in Southern Italy , 2016 .

[6]  W. Baeyens,et al.  Correlations, partitioning and bioaccumulation of heavy metals between different compartments of Lake Balaton. , 2005, The Science of the total environment.

[7]  Yeyao Wang,et al.  Assessment of surface water quality using a growing hierarchical self-organizing map: a case study of the Songhua River Basin, northeastern China, from 2011 to 2015 , 2018, Environmental Monitoring and Assessment.

[8]  D. Maktav,et al.  Assessment of Surface Water Quality by Using Satellite Images Fusion Based on PCA Method in the Lake Gala, Turkey , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Anil K. Jain,et al.  Data clustering: a review , 1999, CSUR.

[10]  Seo Jin Ki,et al.  Advancing assessment and design of stormwater monitoring programs using a self-organizing map: characterization of trace metal concentration profiles in stormwater runoff. , 2011, Water research.

[11]  Sunny C. Jiang,et al.  Human and environmental health risks and benefits associated with use of urban stormwater , 2015 .

[12]  Bulent Sengorur,et al.  Water Quality Assessment Using Artificial Intelligence Techniques: SOM and ANN—A Case Study of Melen River Turkey , 2015, Water Quality, Exposure and Health.

[13]  MULTIFRACTALITY OF ITERATED PULSE PROCESSES WITH PULSE AMPLITUDES GENERATED BY A RANDOM CASCADE , 2002 .

[14]  Maria Di Modugno,et al.  Build-Up/Wash-Off Monitoring and Assessment for Sustainable Management of First Flush in an Urban Area , 2015 .

[15]  Karen Kafadar,et al.  Letter-Value Plots: Boxplots for Large Data , 2017 .

[16]  V. Iacobellis,et al.  Multiscaling pulse representation of temporal rainfall , 2002 .

[17]  W. G. Coldewey,et al.  Storm water runoff concentration matrix for urban areas. , 2007, Journal of contaminant hydrology.

[18]  Q. Lin,et al.  Spatial and Temporal Variations of Water Quality in Songhua River from 2006 to 2015: Implication for Regional Ecological Health and Food Safety , 2017 .

[19]  Fabián A. Bombardelli,et al.  Uncertainty in the parameterization of sediment build-up and wash-off processes in the simulation of sediment transport in urban areas , 2019, Environ. Model. Softw..

[20]  M. Palmer,et al.  Restoring streams in an urbanizing world , 2007 .

[21]  Michael K Stenstrom,et al.  Seasonal first flush phenomenon of urban stormwater discharges. , 2004, Water research.

[22]  M. Varol.  Spatio-temporal changes in surface water quality and sediment phosphorus content of a large reservoir in Turkey. , 2019, Environmental pollution.

[23]  P. Rousseeuw.  Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .