Geographic Location System for Identifying Urban Road Sections Sensitive to Runoff Accumulation

ABSTRACT: This paper concerns the design of a geographic location system to identify urban road sections susceptible to runoff accumulation through the analysis of the efficiency of surface drainage networks. To this end, a combination of Geographic Information Systems (GISs) and stormwater models was proposed. First, GIS hydrology tools were employed to generate all the information required to characterise urban catchments geometrically. Then, a synthetic storm was created from precipitation data obtained through spatial interpolation for a given return period. Finally, the three main hydrological processes occurring in catchments (precipitation loss, transformation and routing) were simulated using the Hydrologic Modeling System (HEC-HMS). The system was tested through a case study of an urban catchment located in the city of Santander (Spain). The results demonstrate its usefulness in detecting critical points in terms of runoff accumulation, according to the efficiency of the existing surface drainage network

Decision support model for the selection of asphalt wearing courses in highly trafficked roads

The suitable choice of the materials forming the wearing course of highly trafficked roads is a delicate task because of their direct interaction with vehicles. Furthermore, modern roads must be planned according to sustainable development goals, which is complex because some of these might be in conflict. Under this premise, this paper develops a multi-criteria decision support model based on the analytic hierarchy process and the technique for order of preference by similarity to ideal solution to facilitate the selection of wearing courses in European countries. Variables were modelled using either fuzzy logic or Monte Carlo methods, depending on their nature. The views of a panel of experts on the problem were collected and processed using the generalized reduced gradient algorithm and a distance-based aggregation approach. The results showed a clear preponderance by stone mastic asphalt over the remaining alternatives in different scenarios evaluated through sensitivity analysis. The research leading to these results was framed in the European FP7 Project DURABROADS (No. 605404).The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007–2013) under Grant Agreement No. 605404

Fostering circular economy through the analysis of existing open access industrial symbiosis databases

Digital evolution underwent great progress in the late 20th century, democratizing the use of the Internet and, therefore, access to public sources of information. This technological shift caused great impacts on different fields, including Industrial Symbiosis (IS). IS stems from the concept of Circular Economy and requires well-structured information to encourage waste reuse. Under these premises, this investigation aimed at processing and analyzing existing open-access IS databases from several perspectives, including types of business areas, waste and new uses involved. In addition, existing IS data were explored with the support of different tools, such as correspondence, network and correlation analyses. The application of this methodology to a set of 496 shortlisted IS exchanges led to several findings, highlighting the strong relationship between metallurgy and the production of cement, the key role played by the electricity production sector both as a donor and a recipient, the versatility of the agriculture area due to their capacity for reusing a variety of waste as fertilizers and the importance of chemical products and steam and hot water as new uses. Overall, these results provide companies with efficient and understandable knowledge to donate or receive materials.This research was funded by the Spanish Ministry of Science, Innovation and Universities, grant number DPI2017-88127-R (AEI/FEDER, UE)

Systemic analysis of the contributions of co-located industrial symbiosis to achieve sustainable development in an industrial park in Northern Spain

Resource efficiency is a strategy with great potential to make progress towards the UN Sustainable Development Goals (SDGs), since it can contribute to meeting a variety of economic, environmental and social targets. In this context, this investigation developed a systemic analysis of co-located Industrial Symbiosis (IS) synergies in an industrial park formed of four companies. To this end, public data showing that the main activity in this park concerned materials, water and steam flows were supported with short visits to the companies for verification purposes. Then, the effects of nine exchange and twelve share synergies were analysed at different scales according to their impacts on sustainable development. The changes caused by these synergies in the flows in the industrial park enabled saving more than 10 k tonnes of raw materials and waste disposal and almost 10 Mm3 of raw water per year, as well as six auxiliary service systems. In the end, these figures might be translated into more than 200 kt CO2 eq. and EUR 6M saved per year, which in turn corresponds to 0.05% of the Gross Domestic Product (GDP) of the region in which the park is located. In terms of sustainable development, these modifications were translated into contributions to nine SDGs and 14 of their specific targets, proving the domino effect associated with the application of IS policies by governments and public entities.This research was funded by the Spanish Ministry of Science, Innovation and Universities, grant number DPI2017-88127-R (AEI/FEDER, UE)

Methodology for the development of a new Sustainable Infrastructure Rating System for Developing Countries (SIRSDEC)

The improvement of infrastructures in developing countries has become a priority for the most advanced economies, which have founded a broad range of international development organizations to undertake infrastructure projects worldwide. Infrastructure is the key driver that can accelerate the balance among the economic, social and environmental aspects forming the Triple Bottom Line (TBL) in these countries. Given the lack of appropriate tools to ensure the achievement of this goal, this paper describes the methodology conceived for the development of a Sustainable Infrastructure Rating System (SIRSDEC) aimed at promoting the design, construction and operation of sustainable infrastructure projects in these geographical areas. SIRSDEC is structured into a hierarchical decision-making tree consisting of three levels of elements (requirements, criteria and indicators) selected to assess infrastructure systems according to sustainability principles. The methodology on which SIRSDEC is based combines the action of two multi-criteria decision-making methods (MCDM) such as the Analytical Hierarchy Process (AHP) and the Integrated Value Model for Sustainable Assessment (MIVES). AHP is proposed to weight the elements forming the decision-making tree after processing the opinions provided by a group of international experts regarding the importance of requirements, criteria and indicators, whilst MIVES is suggested to value infrastructure projects according to their contribution to the TBL. The article emphasizes the added value provided by the combination of AHP and MIVES in the design of an ad-hoc rating system aimed at fostering the implementation of sustainable infrastructure projects in developing countries

Application of the Sustainable Infrastructure Rating System for Developing Countries (SIRSDEC) to a case study

A large amount of international public and private not-for-profit organizations strives to enhance the conditions of less developed economies under the flagship of sustainability throughout a wide range of infrastructure projects. However, the results are uncertain. Sustainable development in poorer countries requires effective frameworks to ensure the balanced consideration of social, economic and environmental dimensions. This paper discusses the application of the Sustainable Infrastructure Rating System for Developing Countries (SIRSDEC) to a mining infrastructure project located in Peru, in order to validate the methodology developed for this framework. The opinions returned from a questionnaire addressed to international experts according to the pairwise comparison scale of the Analytic Hierarchy Process (AHP) method were processed to obtain the weights of the elements forming the decision-making tree of SIRSDEC. The Integrated Value Model for Sustainable Assessment (MIVES) was introduced to assess infrastructure projects through the definition of value functions for each sustainability indicator, which enables the integration of variables measured in different units into a standardized value index. The weights obtained for SIRSDEC reflected the balance of the three pillars of sustainability, with a slight predominance of the social dimension. The case study highlighted the contribution of the new system to identify key sustainability issues which were omitted in the original project and posed several actions to improve community?s perception and facilitate the development of the project

Evaluation of existing sustainable infrastructure rating systems for their application in developing countries

Several sustainable building rating systems were created worldwide during the last decades due to economic growth and the significance of environmental impact associated with the building industry. Similar infrastructure rating tools have started to be developed and implemented, being highly necessary to promote its development. Even though the existing sustainable infrastructure rating systems are focused on advanced economies, growing environmental concerns are increasing the need for new systems in the Developing World. This research analyses some of the mainstream infrastructure rating frameworks such as Envision (USA), Civil Engineering Environmental Quality (CEEQUAL) assessment (UK) and Infrastructure Sustainability (IS) Rating Tool (Australia) from the perspective of the Triple Bottom Line (economy, environment and society), in order to determine the effectiveness of their application in the context of the least developed countries. The analysis revealed that the three tools are biased towards the environmental dimension and are mainly oriented to developed countries. Consequently, the foundations on which these systems are based need to be further developed and enhanced to be of real relevance in poorer nations by balancing the weight of sustainable pillars, incorporating effective management guidelines and development goals set by United Nations declarations, and considering impacts beyond the single project framework

ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments

ABSTRACT: Surface runoff determination in urban areas is crucial to facilitate ex ante water planning, especially in the context of climate and land cover changes, which are increasing the frequency of floods, due to a combination of violent storms and increased imperviousness. To this end, the spatial identification of urban areas prone to runoff accumulation is essential, to guarantee effective water management in the future. Under these premises, this work sought to produce a tool for automated determination of urban surface runoff using a geographic information systems (GIS). This tool, which was designed as an ArcGIS add-in called ArcDrain, consists of the discretization of urban areas into subcatchments and the subsequent application of the rational method for runoff depth estimation. The formulation of this method directly depends on land cover type and soil permeability, thereby enabling the identification of areas with a low infiltration capacity. ArcDrain was tested using the city of Santander (northern Spain) as a case study. The results achieved demonstrated the accuracy of the tool for detecting high runoff rates and how the inclusion of mitigation measures in the form of sustainable drainage systems (SuDS) and green infrastructure (GI) can help reduce flood hazards in critical zonesThis research was funded by the Spanish Ministry of Science, Innovation, and Universities, with funds from the State General Budget (PGE) and the European Regional Development Fund (ERDF), grant number RTI2018-094217-B-C32 (MCIU/AEI/FEDER, UE)

Simulation of the hydraulic performance of highway filter drains through laboratory models and stormwater management tools

Road drainage is one of the most relevant assets in transport infrastructure due to its inherent influence on traffic management and road safety. Highway filter drains (HFDs), also known as ?French Drains?, are the main drainage system currently in use in the UK, throughout 7000 km of its strategic road network. Despite being a widespread technique across the whole country, little research has been completed on their design considerations and their subsequent impact on their hydraulic performance, representing a gap in the field. Laboratory experiments have been proven to be a reliable indicator for the simulation of the hydraulic performance of stormwater best management practices (BMPs). In addition to this, stormwater management tools (SMT) have been preferentially chosen as a design tool for BMPs by practitioners from all over the world. In this context, this research aims to investigate the hydraulic performance of HFDs by comparing the results from laboratory simulation and two widely used SMT such as the US EPA?s stormwater management model (SWMM) and MicroDrainage®. Statistical analyses were applied to a series of rainfall scenarios simulated, showing a high level of accuracy between the results obtained in laboratory and using SMT as indicated by the high and low values of the Nash-Sutcliffe and R2 coefficients and root-mean-square error (RMSE) reached, which validated the usefulness of SMT to determine the hydraulic performance of HFDs.The laboratory research was part of a wider research project funded by the company Carnell Group Services Ltd. Daniel Jato-Espino’s research internship at Coventry University and its participation in the research that led to this article was jointly funded by the CAWR, Coventry University, and the Spanish Ministry of Economy and Competitiveness through the research projects RHIVU (Ref. BIA2012-32463) and SUPRIS-SUReS (Ref. BIA2015-65240-C2-1-R MINECO/FEDER, UE), financed by the Spanish Ministry of Economy and Competitiveness with funds from the State General Budget (PGE) and the European Regional Development Fund (ERDF). A further acknowledgement to XP Solutions for providing a licence to use MicroDrainage®

Flood Risk Assessment in Urban Catchments Using Multiple Regression Analysis

Flood assessment in urban catchments is usually addressed through the combination of geographic information systems (GISs) and stormwater models. However, the coupled use of these tools involves a level of detail in terms of hydrological modeling that can be beyond the scope of overall flood management planning strategies. This research consists of the development of a methodology based on multiple regression analysis (MRA) to assess flood risk in urban catchments according to their morphologic characteristics and the geometrical and topological arrangement of the drainage networks into which they flow. Stormwater models were replaced by a combination of multiple linear regression (MLR), multiple nonlinear regression (MNLR), and multiple binary logistic regression (MBLR), which enabled identifying influential parameters in the maximum runoff rates generated in urban catchments, modeling the magnitude of peak flows across them, and estimating flood risk in the nodes of sewer networks, respectively. The results obtained through a real urban catchment located in Espoo, Finland, demonstrated the usefulness of the proposed methodology to provide an accurate replication of flood occurrence in urban catchments due to intense storm events favored by climate change, information that can be used to plan and design preventative drainage strategies.This paper was possible thanks to the research projects SUPRIS-SUReS (Ref. BIA2015-65240-511 C2-1-R MINECO/FEDER, UE) and SUPRIS-SUPeI (Ref. BIA2015-65240-C2-2-R 512 MINECO/FEDER, UE), financed by the Spanish Ministry of Economy and Competitiveness 513 with funds from the State General Budget (PGE) and the European Regional Development 514 Fund (ERDF