Optics and Precision Engineering, Volume. 29, Issue 11, 2714(2021)

Precision control model of rainfall inversion based on visual sensor nodes collaboration

Xing WANG1...2,3, Mei-zhen WANG1,2,3,*, and Xue-jun LIU1,23 |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing20023, China
  • 2State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province),Nanjing1003, China
  • 3Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing21002, China
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    References(22)

    [1] E RABIEI, U HABERLANDT, M SESTER et al. Areal rainfall estimation using moving cars – computer experiments including hydrological modeling. Hydrology and Earth System Sciences, 20, 3907-3922(2016).

    [2] [2] 2刘勇, 张韶月, 柳林, 等. 智慧城市视角下城市洪涝模拟研究综述[J]. 地理科学进展, 2015, 34(4): 494-504. doi: 10.11820/dlkxjz.2015.04.011LIUY, ZHANGSH Y, LIUL, et al. Research on urban flood simulation: a review from the smart city perspective[J]. Progress in Geography, 2015, 34(4): 494-504. (in Chinese). doi: 10.11820/dlkxjz.2015.04.011

    [3] [3] 3宋晓猛, 张建云, 贺瑞敏, 等. 北京城市洪涝问题与成因分析[J]. 水科学进展, 2019, 30(2): 153-165. doi: 10.14042/j.cnki.32.1309.2019.02.001SONGX M, ZHANGJ Y, HER M, et al. Urban flood and waterlogging and causes analysis in Beijing[J]. Advances in Water Science, 2019, 30(2): 153-165. (in Chinese). doi: 10.14042/j.cnki.32.1309.2019.02.001

    [4] [4] 4张建云, 王银堂, 贺瑞敏, 等. 中国城市洪涝问题及成因分析[J]. 水科学进展, 2016, 27(4): 485-491. doi: 10.14042/j.cnki.32.1309.2016.04.001ZHANGJ Y, WANGY T, HER M, et al. Discussion on the urban flood and waterlogging and causes analysis in China[J]. Advances in Water Science, 2016, 27(4): 485-491. (in Chinese). doi: 10.14042/j.cnki.32.1309.2016.04.001

    [5] [5] 5高太长, 江志东, 刘西川, 等. 线阵光学降水现象自动测量系统[J]. 光学 精密工程, 2012, 20(10): 2184-2191. doi: 10.3788/ope.20122010.2184GAOT CH, JIANGZH D, LIUX CH, et al. Optical precipitation auto-measurement system based on linear image sensor[J]. Opt. Precision Eng., 2012, 20(10): 2184-2191. (in Chinese). doi: 10.3788/ope.20122010.2184

    [6] C KIDD, A BECKER, G J HUFFMAN et al. So, how much of the Earth's surface is covered by rain gauges?. Bull Am Meteorol Soc, 98, 69-78(2017).

    [7] C LORENZ, H KUNSTMANN. The hydrological cycle in three state-of-the-art reanalyses: intercomparison and performance analysis. Journal of Hydrometeorology, 13, 1397-1420(2012).

    [8] P ALLAMANO, A CROCI, F LAIO. Toward the camera rain gauge. Water Resources Research, 51, 1744-1757(2015).

    [9] M F MCCABE, M RODELL, D E ALSDORF et al. The future of earth observation in hydrology. Hydrology and Earth System Sciences, 21, 3879-3914(2017).

    [10] L BROCCA, L CIABATTA, C MASSARI et al. Soil as a natural rain gauge: Estimating global rainfall from satellite soil moisture data. Journal of Geophysical Research: Atmospheres, 119, 5128-5141(2014).

    [11] L BARTHÈS, C MALLET. Rainfall measurement from the opportunistic use of an Earth–space link in the Ku band. Atmospheric Measurement Techniques, 6, 2181-2193(2013).

    [12] A BERNE, G DELRIEU, J D CREUTIN et al. Temporal and spatial resolution of rainfall measurements required for urban hydrology. Journal of Hydrology, 299, 166-179(2004).

    [13] A OVEREEM, H LEIJNSE, R UIJLENHOET. Two and a half years of country-wide rainfall maps using radio links from commercial cellular telecommunication networks. Water Resources Research, 52, 8039-8065(2016).

    [14] H S GUO, H HUANG, Y E SUN et al. Chaac: real-time and fine-grained rain detection and measurement using smartphones. IEEE Internet of Things Journal, 6, 997-1009(2019).

    [15] K GARG, S K NAYAR. Vision and rain. International Journal of Computer Vision, 75, 3-27(2007).

    [16] S J JIANG, V BABOVIC, Y ZHENG et al. Advancing opportunistic sensing in hydrology: a novel approach to measuring rainfall with ordinary surveillance cameras. Water Resources Research, 55, 3004-3027(2019).

    [17] N NJUE, J STENFERT KROESE, J GRÄF et al. Citizen science in hydrological monitoring and ecosystem services management: State of the art and future prospects. The Science of the Total Environment, 693, 133531(2019).

    [18] GIUDICE DDEL, C ALBERT, J RIECKERMANN et al. Describing the catchment-averaged precipitation as a stochastic process improves parameter and input estimation. Water Resources Research, 52, 3162-3186(2016).

    [19] P YANG. Gauging through the crowd: a crowd-sourcing approach to urban rainfall measurement and storm water modeling implications. Water Resources Research, 53, 9462-9478(2017).

    [20] E CANLI, B LOIGGE, T GLADE. Spatially distributed rainfall information and its potential for regional landslide early warning systems. Natural Hazards, 91, 103-127(2018).

    [21] [21] 21刘建书, 李人厚, 常宏. 基于相关性函数和最小二乘的多传感器数据融合[J]. 控制与决策, 2006, 21(6): 714-716, 720. doi: 10.3321/j.issn:1001-0920.2006.06.024LIUJ SH, LIR H, CHANGH. Multi-sensor data fusion based on correlation function and least square[J]. Control and Decision, 2006, 21(6): 714-716, 720. (in Chinese). doi: 10.3321/j.issn:1001-0920.2006.06.024

    [22] [22] 22梅海霞, 梁信忠, 曾明剑, 等. 2015—2017年夏季南京雨滴谱特征[J]. 应用气象学报, 2020, 31(1): 117-128. doi: 10.11898/1001-7313.20200111MEIH X, LIANGX ZH, ZENGM J, et al. Raindrop size distribution characteristics of Nanjing in summer of 2015-2017[J]. Journal of Applied Meteorological Science, 2020, 31(1): 117-128. (in Chinese). doi: 10.11898/1001-7313.20200111

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    Xing WANG, Mei-zhen WANG, Xue-jun LIU. Precision control model of rainfall inversion based on visual sensor nodes collaboration[J]. Optics and Precision Engineering, 2021, 29(11): 2714

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    Paper Information

    Category: Information Sciences

    Received: May. 10, 2021

    Accepted: --

    Published Online: Dec. 10, 2021

    The Author Email: WANG Mei-zhen (wangmeizhen@njnu.edu.cn)

    DOI:10.37188/OPE.20212911.2714

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