Quiahua, the First Citizen Science Rainfall Monitoring Network in Mexico: Filling Critical Gaps in Rainfall Data for Evaluating a Payment for Hydrologic Services Program

Shinbrot, Xoco A.; Muñoz-Villers, Lyssette E.; Mayer, Alex; López-Portillo, Melissa; Jones, Kelly W.; López-Ramírez, Sergio; Alcocer-Lezama, Carlos; Ramos-Escobedo, Miriam; Manson, Robert H.

doi:10.5334/cstp.316

Cited by 8 publications

(5 citation statements)

References 62 publications

(63 reference statements)

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“…El presente trabajo es el primero en estudiar el comportamiento hidrológico de la cuenca del río Los Gavilanes, cubierta mayormente por bosque de niebla (51 %) sobre suelo Andosol, para lo cual fue indispensable instrumentarla, debido a la ausencia de estaciones hidrometeorológicas oficiales dentro de la cuenca. De haber utilizado datos de estaciones meteorológicas cercanas, las entradas de precipitación en la cuenca hubieran sido subestimadas en aproximadamente 300 mm para la época de lluvias (Shinbrot et al 2020).…”

Section: Discussionunclassified

Comportamiento hidrológico de una mesocuenca de montaña en el centro oriente de México

Guzmán-Huerta¹,

Muñoz-Villers²

2021

Bosque (Valdivia)

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Cloud forests are ecosystems with high hydrological value, however, land use change and the modification of climate patterns are increasingly threatening their existence. This study examined the hydrological behavior of the Los Gavilanes river catchment (~ 35 km 2 ) that supplies 90 % of water to the city of Coatepec (Veracruz, México) and surrounding areas. Rainfall was registered using automatic rain gauges and streamflow was measured using water level readings from pressure transducers in combination with stream gauging methods. Annual rainfall (2015-2016) was 2,692 mm distributed in 177 events with mean rainfall amounts and average intensities of 22.6 mm and 6.5 mm hr -1 during the wet season, respectively, and 11.4 mm and 1.6 mm hr -1 during the dry season. Annual streamflow was 1,394 mm, of which 90 % was baseflow with no seasonal differences observed. In general, the catchment's hydrological response shows a clear signal of its high rainfall infiltration and water storage capacity, characteristics preserved by the forest cover allowing to sustain streamflow and the provision of water sources for the region throughout the year. Finally, maximum rain event intensities and amounts were the key variables explaining quickflow and baseflow generation and total discharge in the study catchment.

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Section: Discussionunclassified

Comportamiento hidrológico de una mesocuenca de montaña en el centro oriente de México

Guzmán-Huerta¹,

Muñoz-Villers²

2021

Bosque (Valdivia)

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“…Citizen science is also widely used in research on climate change mitigation 162,163 , adaptation 164,165 , effects and impacts 166,167 . Citizen science is being applied across many topics, including -but not limited to -investigating soil moisture 120 , groundwater 168 , flood levels 169 , sea ice 170 , snow depth 35 and snow algae blooms and observing changes in local phenological patterns 171 , bird migration 116 , cloud formation 172 or coral reef damage 173 .…”

Section: Climate Change Researchmentioning

confidence: 99%

Citizen science in environmental and ecological sciences

Fraisl

Hager

Bedessem

et al. 2022

Nat Rev Methods Primers

224

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Citizen science, broadly defined as public participation in scientific research and knowledge production, is becoming an increasingly well developed and valued approach with global reach and used in a wide range of scientific domains [1][2][3] . Much of this growth is driven by the availability of information technology infrastructures such as mobile phones and low-cost sensors for gathering and reporting data, the internet for sharing data, and cloud storage for hosting and storing data 4,5 . Growing literacy levels and educational attainment in many parts of the world also make it possible for many more people to contribute to knowledge creation in a meaningful way 6,7 .Citizen science initiatives involve the public in the research process to generate genuine scientific outcomes [8][9][10][11] . These outcomes include discoveries, such as in astrophysics 12 and archaeology projects 13 ; new insights, such as in epidemiology 14 and socio-linguistics projects 15 ; evidence-based policymaking, such as in pollution-monitoring initiatives [16][17][18] ; interventions such as in public health research 19 ; and environmental governance, including in ecology and biodiversity monitoring initiatives [20][21][22] . Citizen science research can fill important data gaps across both time and space 23 , which might not otherwise be possible without the contribution of many participants, including people with local and lay knowledge 24,25 or Indigenous knowledge 26,27 .

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“…Of all the unconventional rainfall sensing techniques, citizen science stands out the most due to the number of successful applications in the field emerging in different countries such as the USA [15], Thailand [16], Nepal [17], the Netherlands [18], and Mexico [19]. One of these projects is the collaborative community rain, hail, and snow network (CoCo-RaHS) project [15].…”

Section: Introductionmentioning

confidence: 99%

An Urban Acoustic Rainfall Estimation Technique Using a CNN Inversion Approach for Potential Smart City Applications

Alkhatib,

Talei,

Chang

et al. 2023

Smart Cities

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The need for robust rainfall estimation has increased with more frequent and intense floods due to human-induced land use and climate change, especially in urban areas. Besides the existing rainfall measurement systems, citizen science can offer unconventional methods to provide complementary rainfall data for enhancing spatial and temporal data coverage. This demand for accurate rainfall data is particularly crucial in the context of smart city innovations, where real-time weather information is essential for effective urban planning, flood management, and environmental sustainability. Therefore, this study provides proof-of-concept for a novel method of estimating rainfall intensity using its recorded audio in an urban area, which can be incorporated into a smart city as part of its real-time weather forecasting system. This study proposes a convolutional neural network (CNN) inversion model for acoustic rainfall intensity estimation. The developed CNN rainfall sensing model showed a significant improvement in performance over the traditional approach, which relies on the loudness feature as an input, especially for simulating rainfall intensities above 60 mm/h. Also, a CNN-based denoising framework was developed to attenuate unwanted noises in rainfall recordings, which achieved up to 98% accuracy on the validation and testing datasets. This study and its promising results are a step towards developing an acoustic rainfall sensing tool for citizen-science applications in smart cities. However, further investigation is necessary to upgrade this proof-of-concept for practical applications.

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Quiahua, the First Citizen Science Rainfall Monitoring Network in Mexico: Filling Critical Gaps in Rainfall Data for Evaluating a Payment for Hydrologic Services Program

Cited by 8 publications

References 62 publications

Comportamiento hidrológico de una mesocuenca de montaña en el centro oriente de México

Comportamiento hidrológico de una mesocuenca de montaña en el centro oriente de México

Citizen science in environmental and ecological sciences

An Urban Acoustic Rainfall Estimation Technique Using a CNN Inversion Approach for Potential Smart City Applications

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