scholarly journals Social change innovations, citizen science, miniSASS and the SDGs

Water Policy ◽  
2021 ◽  
Author(s):  
Jim Taylor ◽  
Mark Graham ◽  
Adrienne Louw ◽  
Ayanda Lepheana ◽  
Bonani Madikizela ◽  
...  

Abstract The United Nations Sustainable Development Goals (SDGs) describe a course of action to address poverty, protect the planet and ensure prosperity for all (https://sdgs.un.org/goals). More specifically, SDG 6 clarifies how water quality, quantity and access are crucial to human well-being, and yet human activities are compromising water resources through over-exploitation, pollution, as well as contributing to the spread of disease. Globally aquatic ecosystems are highly threatened and concerted efforts by governments and civil society to ‘turn the situation around’ are simply not working. Human-created problems require human-centred solutions and these require different ways of thinking and acting to those behaviour patterns that are contributing to the challenges. In this paper, we first consider causal approaches to attitude change and behaviour modification that are simply not working as intended. We then explore enabling responses such as citizen science and co-engaged action learning as more tenable alternatives. SDG 6 has a focus on clean water and sanitation for all. The SDGs further clarify how the extent to which this goal can be realized depends, to a large extent, on stakeholder engagements and education. Through stakeholder engagements and educational processes, people can contribute towards SDG 6 and the specific indicator and target in SDG 6.b – Stakeholder participation. Following a three-year research process, that investigated a wide range of participatory tools, this paper explores how the Stream Assessment Scoring System (miniSASS; www.minisass.org) can enable members of the public to engage in water quality monitoring at a local level. The paper continues to demonstrate how miniSASS can contribute to the monitoring of progress towards Sustainable Development Goal 6.3.2., as a Level Two indicator. miniSASS is proving popular in southern Africa as a methodology for engaging stakeholder participation in water quality monitoring and management. The technique costs very little to implement and can be applied by children and scientists alike. As a biomonitoring approach, it is based on families of macroinvertebrates that are present in most perennial rivers of the world. The paper concludes by describing how useful the miniSASS technique can be for addressing SDG 6.3.2 and that it can be applied in most regions of the world.

2021 ◽  
Vol 10 (4) ◽  
pp. 207
Author(s):  
Annie Gray ◽  
Colin Robertson ◽  
Rob Feick

Citizen science initiatives span a wide range of topics, designs, and research needs. Despite this heterogeneity, there are several common barriers to the uptake and sustainability of citizen science projects and the information they generate. One key barrier often cited in the citizen science literature is data quality. Open-source tools for the analysis, visualization, and reporting of citizen science data hold promise for addressing the challenge of data quality, while providing other benefits such as technical capacity-building, increased user engagement, and reinforcing data sovereignty. We developed an operational citizen science tool called the Community Water Data Analysis Tool (CWDAT)—a R/Shiny-based web application designed for community-based water quality monitoring. Surveys and facilitated user-engagement were conducted among stakeholders during the development of CWDAT. Targeted recruitment was used to gather feedback on the initial CWDAT prototype’s interface, features, and potential to support capacity building in the context of community-based water quality monitoring. Fourteen of thirty-two invited individuals (response rate 44%) contributed feedback via a survey or through facilitated interaction with CWDAT, with eight individuals interacting directly with CWDAT. Overall, CWDAT was received favourably. Participants requested updates and modifications such as water quality thresholds and indices that reflected well-known barriers to citizen science initiatives related to data quality assurance and the generation of actionable information. Our findings support calls to engage end-users directly in citizen science tool design and highlight how design can contribute to users’ understanding of data quality. Enhanced citizen participation in water resource stewardship facilitated by tools such as CWDAT may provide greater community engagement and acceptance of water resource management and policy-making.


2020 ◽  
Vol 728 ◽  
pp. 137843
Author(s):  
Anna San Llorente Capdevila ◽  
Ainur Kokimova ◽  
Saunak Sinha Ray ◽  
Tamara Avellán ◽  
Jiwon Kim ◽  
...  

2018 ◽  
Vol 7 (2.32) ◽  
pp. 170 ◽  
Author(s):  
K Bhagavan ◽  
R Vamsi Krishna ◽  
A Chandu Lakshmi Gangadhar ◽  
M Arun

In this day and age, Internet of Things (IoT) and Remote Sensing (RS) procedures are being utilized as a part of various regions of research for observing, gathering and breaking down information from remote areas. Drinking water is a valuable product for every single individual as drinking water utilities confront a considerable measure of new difficulties progressively activity. These difficulties start in light of restricted water assets, developing populace, maturing foundation and so on in this way there is a requirement for better techniques to screen the water quality. Keeping in mind the end goal to guarantee the protected and providing of drinking water the quality ought to be checked progressively. In this paper we intend to present the arrangement and development of a minimal attempt framework for genuine observing of water quality in an IoT situation. The structure comprises of a few sensors which are utilized for estimating physical and substance parameters of water [1]. The frameworks, for example, temperature, pH, turbidity, conductivity, broke down oxygen of the water can be estimated. Utilizing this framework a man can recognize toxins from a water body from anyplace in the world. 


2019 ◽  
Vol 38 (2) ◽  
pp. 342-351 ◽  
Author(s):  
Patricia Pérez-Belmont ◽  
Jannice Alvarado ◽  
Nallely Vázquez-Salvador ◽  
Erika Rodríguez ◽  
Elsa Valiente ◽  
...  

2021 ◽  
Vol 13 (8) ◽  
pp. 4153
Author(s):  
Angeliki Mentzafou ◽  
Momčilo Blagojević ◽  
Elias Dimitriou

Among the Sustainable Development Goals (SDGs) established in the 2030 Agenda, goals 6.3, regarding clean water and improve of water quality, and 6.5, regarding integrated water resources management, highlight the need for the implementation of successful environmental water quality monitoring programs of transboundary river waterbodies. In the present study, the designation of high priority areas for water quality monitoring of Drin transboundary watershed is performed using a suitability model, a GIS-based multicriteria decision analysis (GIS-MCDA) approach that takes into consideration the most important conditioning factors that impose pressures on rivers. Based on the results, the methodological approach used manages to sufficiently delimit the areas with increased need for water quality monitoring in the Drin watershed, and the validation procedure produces a correlation coefficient of 0.454 (statistically significant at a 0.01 level). Limitations arise in the case of a lack of detailed information or inaccurate input data and due to the inconsistency among the input data and the different methodological approaches regarding the information collection of each country involved. These restrictions foreground the need for cooperation between the countries involved regarding the exchange of scientific knowledge and common legislation, so as to achieve integrated, effective, and sustainable management of water resources of the area.


HardwareX ◽  
2021 ◽  
pp. e00241
Author(s):  
Jiansheng Feng ◽  
Banafsheh Khakipoor ◽  
Jacob May ◽  
Melissa Mulford ◽  
Joshua Davis ◽  
...  

2017 ◽  
Vol 580 ◽  
pp. 168-177 ◽  
Author(s):  
David J. Farnham ◽  
Rebecca A. Gibson ◽  
Diana Y. Hsueh ◽  
Wade R. McGillis ◽  
Patricia J. Culligan ◽  
...  

2015 ◽  
Vol 7 (1) ◽  
pp. 28-46 ◽  
Author(s):  
Lule Ahmedi ◽  
Besmir Sejdiu ◽  
Eliot Bytyçi ◽  
Figene Ahmedi

Wireless sensor networks (WSNs) are aiding water quality monitoring with support for real-time and remote quality measurements in terrain. Environmental monitoring portals receiving data from sensors have been a practice since a while among researchers. However, the Web portal introduced here is essentially an integrated portal since it supports modeling and management of both, the observational stream data on water quality coming from wireless sensors – dynamic data, as well as of the data describing the WSN itself, its devices and the corresponding site allocation data – static data. Access is given to a wide range of individuals, from water experts to WSN engineers, to general public. Experts' module infers statistics about water parameters given the experts' data and rules. The portal is further distinguished for its level of scalability: it allows adding with ease new components, like add certain new regulatory documents for water quality, and directly compare data measured by sensors with corresponding quality standards. The aim is to enrich the portal with semantics in future.


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