With the exponential increasing of mobile phone users, the CML network in West Africa is growing, and thus providing a high potential for CML-derived precipitation measurements. In this work we use the performances data of the CMLs to determine the rainfall quantities of the rainy event which marked the memory of the inhabitants of the capital Ouagadougou on September 1st, 2009. In this study we use the attenuation of a microwave link to establish the rain rate. The working frequency is 13 GHz, the path length 7.5 Km and vertical polarization. The time series of attenuation are transformed into rain rates and compared with rain gauge data. The method has successful in quantifying the rainfall. The correlation between 1 hour data of the microwave link and the rain gauge is 0.63. The cumulative rainfall bias during the event less than 5%. These results demonstrate the opportunity to use the microwave backhauling in mobile network to assess rainfall in Africa in this context where the hydrometeorological risk increases every day.
| Published in | American Journal of Environmental Protection (Volume 8, Issue 1) |
| DOI | 10.11648/j.ajep.20190801.11 |
| Page(s) | 1-4 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Precipitations, Attenuation, Telecommunications, Floods, Quantitative Precipitation Estimation (QPE)
| [1] | H. Messer, “Environmental Monitoring by Wireless Communication Networks,” Science (80-. )., vol. 312, no. 5774, pp. 713–713, 2006. |
| [2] | H. Leijnse, R. Uijlenhoet, and J. N. M. Stricker, “Microwave link rainfall estimation: Effects of link length and frequency, temporal sampling, power resolution, and wet antenna attenuation,” Adv. Water Resour., vol. 31, no. 11, pp. 1481–1493, Nov. 2008. |
| [3] | H. Leijnse, R. Uijlenhoet, and J. N. M. Stricker, “Hydrometeorological application of a microwave link: 2. Precipitation,” Water Resour. Res., vol. 43, no. 4, p. n/a-n/a, Apr. 2007. |
| [4] | H. Leijnse, R. Uijlenhoet, J. N. M. Stricker, and Hoogleraar, “Hydrometeorological application of microwave links: Measurement of evaporation and precipitation,” Wageningen University, 2007. |
| [5] | C. Chwala et al., “Precipitation observation using microwave backhaul links in the alpine and pre-alpine region of Southern Germany,” Hydrol. Earth Syst. Sci. Discuss., vol. 9, no. 1, pp. 741–776, Jan. 2012. |
| [6] | A. Zinevich, P. Alpert, and H. Messer, “Estimation of rainfall fields using commercial microwave communication networks of variable density,” Adv. Water Resour., vol. 31, no. 11, pp. 1470–1480, Nov. 2008. |
| [7] | H. Messer, “Capitalizing on Cellular Technology—Opportunities and Challenges for Near Ground Weather Monitoring”, Environments, vol. 5, no. 7, p. 73, 2018. |
| [8] | A. Doumounia, M. Gosset, F. Cazenave, M. Kacou, and F. Zougmore, “Rainfall monitoring based on microwave links from cellular telecommunication networks: First results from a West African test bed,” Geophys. Res. Lett., p. n/a-n/a, Aug. 2014. |
| [9] | M. Gosset et al., “Improving rainfall measurement in gauge poor regions thanks to mobile telecommunication networks,” Bull. Am. Meteorol. Soc., vol. 97, no. 3, pp. ES49-ES51, 2016. |
| [10] | S. Moumouni, M. Gosset, and E. Houngninou, “Main features of rain drop size distributions observed in Benin, West Africa, with optical disdrometers,” Main, vol. 35, pp. 1–5, 2008. |
| [11] | a. Zinevich, H. Messer, and P. Alpert, “Prediction of rainfall intensity measurement errors using commercial microwave communication links,” Atmos. Meas. Tech., vol. 3, no. 5, pp. 1385–1402, Oct. 2010. |
| [12] | H. Leijnse, R. Uijlenhoet, and J. Stricker, “Microwave link rainfall estimation: Effects of link length and frequency, temporal sampling, power resolution, and wet antenna attenuation,” Adv. Water Resour., vol. 31, no. 11, pp. 1481–1493, Nov. 2008. |
| [13] | a. Overeem, H. Leijnse, and R. Uijlenhoet, “Measuring urban rainfall using microwave links from commercial cellular communication networks,” Water Resour. Res., vol. 47, no. 12, p. n/a-n/a, Dec. 2011. |
| [14] | M. Schleiss and A. Berne, “Identification of Dry and Rainy Periods Using Telecommunication Microwave Links,” IEEE Geosci. Remote Sens. Lett., vol. 7, no. 3, pp. 611–615, Jul. 2010. |
APA Style
Ali Doumounia, Moumouni Sawadogo, Serge Roland Sanou, François Zougmoré. (2019). Rainfall Estimation Using Commercial Microwave Links (CMLs) Attenuations: Analyse of Extreme Event of 1st September 2009 in Ouagadougou. American Journal of Environmental Protection, 8(1), 1-4. https://doi.org/10.11648/j.ajep.20190801.11
ACS Style
Ali Doumounia; Moumouni Sawadogo; Serge Roland Sanou; François Zougmoré. Rainfall Estimation Using Commercial Microwave Links (CMLs) Attenuations: Analyse of Extreme Event of 1st September 2009 in Ouagadougou. Am. J. Environ. Prot. 2019, 8(1), 1-4. doi: 10.11648/j.ajep.20190801.11
AMA Style
Ali Doumounia, Moumouni Sawadogo, Serge Roland Sanou, François Zougmoré. Rainfall Estimation Using Commercial Microwave Links (CMLs) Attenuations: Analyse of Extreme Event of 1st September 2009 in Ouagadougou. Am J Environ Prot. 2019;8(1):1-4. doi: 10.11648/j.ajep.20190801.11
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Download@article{10.11648/j.ajep.20190801.11,
author = {Ali Doumounia and Moumouni Sawadogo and Serge Roland Sanou and François Zougmoré},
title = {Rainfall Estimation Using Commercial Microwave Links (CMLs) Attenuations: Analyse of Extreme Event of 1st September 2009 in Ouagadougou},
journal = {American Journal of Environmental Protection},
volume = {8},
number = {1},
pages = {1-4},
doi = {10.11648/j.ajep.20190801.11},
url = {https://doi.org/10.11648/j.ajep.20190801.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20190801.11},
abstract = {With the exponential increasing of mobile phone users, the CML network in West Africa is growing, and thus providing a high potential for CML-derived precipitation measurements. In this work we use the performances data of the CMLs to determine the rainfall quantities of the rainy event which marked the memory of the inhabitants of the capital Ouagadougou on September 1st, 2009. In this study we use the attenuation of a microwave link to establish the rain rate. The working frequency is 13 GHz, the path length 7.5 Km and vertical polarization. The time series of attenuation are transformed into rain rates and compared with rain gauge data. The method has successful in quantifying the rainfall. The correlation between 1 hour data of the microwave link and the rain gauge is 0.63. The cumulative rainfall bias during the event less than 5%. These results demonstrate the opportunity to use the microwave backhauling in mobile network to assess rainfall in Africa in this context where the hydrometeorological risk increases every day.},
year = {2019}
}
TY - JOUR T1 - Rainfall Estimation Using Commercial Microwave Links (CMLs) Attenuations: Analyse of Extreme Event of 1st September 2009 in Ouagadougou AU - Ali Doumounia AU - Moumouni Sawadogo AU - Serge Roland Sanou AU - François Zougmoré Y1 - 2019/01/24 PY - 2019 N1 - https://doi.org/10.11648/j.ajep.20190801.11 DO - 10.11648/j.ajep.20190801.11 T2 - American Journal of Environmental Protection JF - American Journal of Environmental Protection JO - American Journal of Environmental Protection SP - 1 EP - 4 PB - Science Publishing Group SN - 2328-5699 UR - https://doi.org/10.11648/j.ajep.20190801.11 AB - With the exponential increasing of mobile phone users, the CML network in West Africa is growing, and thus providing a high potential for CML-derived precipitation measurements. In this work we use the performances data of the CMLs to determine the rainfall quantities of the rainy event which marked the memory of the inhabitants of the capital Ouagadougou on September 1st, 2009. In this study we use the attenuation of a microwave link to establish the rain rate. The working frequency is 13 GHz, the path length 7.5 Km and vertical polarization. The time series of attenuation are transformed into rain rates and compared with rain gauge data. The method has successful in quantifying the rainfall. The correlation between 1 hour data of the microwave link and the rain gauge is 0.63. The cumulative rainfall bias during the event less than 5%. These results demonstrate the opportunity to use the microwave backhauling in mobile network to assess rainfall in Africa in this context where the hydrometeorological risk increases every day. VL - 8 IS - 1 ER -
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