On stormwater management master plans: comparing developed and developing cities

Oneda, Tânia Mara Sebben; Barros, Virgínia Grace

doi:10.1080/02626667.2020.1853131

Cited by 7 publications

(5 citation statements)

References 26 publications

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“…A socio-behavioral measure considered to have greater top-down determination is policy preference, choice, action, or intention. In fact, 21% of the studies included variables representing a socio-behavioral dimension including policies or a policy (Liu et al, 2015;Srinivasan, 2015;Di Baldassarre et al, 2016;Garcia and You, 2016;Giuliani et al, 2016;Grames et al, 2016;Bakarji et al, 2017;Farjad et al, 2017;Gonzales and Ajami, 2017;Haeffner et al, 2017;Han et al, 2017;Khan et al, 2017;Kotir et al, 2017;Noël and Cai, 2017;Re et al, 2017;Sanderson et al, 2017;Essenfelder et al, 2018;Keys and Wang-Erlandsson, 2018;Robinne et al, 2018;Abebe et al, 2019a,b;York et al, 2019;Bradford et al, 2020;Du et al, 2020;Wilfong and Pavao-Zuckerman, 2020;Bou Nassar et al, 2021;Hanus, 2021;Oneda and Barros, 2021;Savelli et al, 2021;ZamanZad-Ghavidel et al, 2021).…”

Section: Social Components Used In Primary Studiesmentioning

confidence: 99%

A Systematic Review of Spatial-Temporal Scale Issues in Sociohydrology

et al. 2021

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Sociohydrology is a recent effort to integrate coupled human-water systems to understand the dynamics and co-evolution of the system in a holistic sense. However, due to the complexity and uncertainty involved in coupled human-water systems, the feedbacks and interactions are inherently difficult to model. Part of this complexity is due to the multi-scale nature across space and time at which different hydrologic and social processes occur and the varying scale at which data is available. This systematic review seeks to comprehensively collect those documents that conduct analysis within the sociohydrology framework to quantify the spatial-temporal scale(s) and the types of variables and datasets that were used. Overall, a majority of sociohydrology studies reviewed were primarily published in hydrological journals and contain more established hydrological, rather than social, models. The spatial extents varied by political and natural boundaries with the most common being cities and watersheds. Temporal extents also varied from event-based to millennial timescales where decadal and yearly were the most common. In addition to this, current limitations of sociohydrology research, notably the absence of an interdisciplinary unity, future directions, and implications for scholars doing sociohydrology are discussed.

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Section: Social Components Used In Primary Studiesmentioning

confidence: 99%

A Systematic Review of Spatial-Temporal Scale Issues in Sociohydrology

et al. 2021

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“…Stormwater drainage is not an isolated action for managing channels and pipes, as seen classically. It is an instrument for planning and water governance [9,67], as observed by the results presented in this work on public health.…”

Section: Discussionmentioning

confidence: 63%

“…The increasing complexity of urban environments [56], especially in issues related to urban water, encourages a series of studies [57], methodologies [58] and mechanisms capable of helping and improving stormwater systems [9]. Inefficient stormwater drainage management and unfinished stormwater drainage systems cause financial losses but also endanger the population with the propagation of waterborne diseases [59].…”

Section: Discussionmentioning

confidence: 99%

“…The incorrect destination and increasing generation of urban water (UW) flow, associated with the high cost of treatment, resulted in swelling volumes of untreated accumulated UW, producing severe environmental and public health problems. This kind of water management is fragmented [9]; it hinders governance and prevents a broader view of the connections in this coupled human-water system. In fact, there is deficient UW management and standing water observed throughout Brazil, consequently; diseases such as dengue, yellow fever, Zika and chikungunya are spread by the Aedes aegypti mosquito, breeding in aquatic habitats [10] that provide a favorable environment for their dissemination.…”

Section: Introductionmentioning

confidence: 99%

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Using Machine Learning to Improve Vector Control, Public Health and Reduce Fragmentation of Urban Water Management

Klafke,

Henning,

Barros

2024

Hygiene

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Urban waters (UW) are complex environments, and their definition is related to water systems in urban zones, whether in a natural system or an urban facility. The health of these environments is related to public health and the quality of life because public health is the focal point of environmental and anthropic impacts. Infrastructure is paramount for maintaining public health and social and economic development sanitation. Insufficient infrastructure favors disease vectors. The population and environment suffer from deficient urban water infrastructure in Brazil despite government efforts to manage the existing systems. In this work, machine learning (regression trees) demonstrates the deficiency of sanitation and UW management fragmentation on public health by using the Aedes aegypti infestation index (HI) and water supply, wastewater, stormwater and drainage indicators (SNIS data). The results show that each Brazilian region faces different problems. The more infested regions were Northeastern, Northern and Southeastern. Moreover, municipalities with better SNIS data have lower infestation rates. Minimizing problems related to sanitation through the integrated management of water and urban areas is extremely important in developing countries. UW governance is connected to public health. Water management fragmentation leads to more complex issues, and managers must confront them to improve the quality of life in urban zones.

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“…The core information was recorded and translated into English to further thematic code by NVivo Software (refer the question guide in Table 1). The nodes were used to code interview data and be input to the program (Oneda and Barros, 2020). All data were deleted after this study to ensure confidentiality.…”

Section: Semi-structured Interview and Focus Group Approachmentioning

confidence: 99%

Exploring the Development of the Sponge City Program (SCP): The Case of Gui'an New District, Southwest China

Chan

O’Donnell

et al. 2021

Front. Water

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Rapid urbanization has sharply increased the pressure of urban water issues (e.g., urban flooding and water pollution) in the Chinese megacities during last three decades. Sustainable urban water management approaches, such as Nature Based Solutions (NBS) and Low Impact Developments (LIDs), have successfully delivered long-term benefits to cities in Europe and North America. Similarly, the Chinese Sponge City Program (SCP) initiated in 2013 and experimented in 30 pilot Chinese cities. This paper reviewed the first stage of the SCP from 2015 to 2020 by using observation, Semi-Structured Interview (SSI) and Focus Group Approach (FGA) in context of Gui'an New Distinct, SW China to investigate the SCP progress and issues: (1). whether it is effectively solving urban water issues; (2). if there are any major challenges and barriers in the SCP practice. The findings of this case study provide potential solutions for improving the SCP and sustainable urban water management and possibly transform to other Sponge Cities in China.

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On stormwater management master plans: comparing developed and developing cities

Cited by 7 publications

References 26 publications

A Systematic Review of Spatial-Temporal Scale Issues in Sociohydrology

A Systematic Review of Spatial-Temporal Scale Issues in Sociohydrology

Using Machine Learning to Improve Vector Control, Public Health and Reduce Fragmentation of Urban Water Management

Exploring the Development of the Sponge City Program (SCP): The Case of Gui'an New District, Southwest China

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