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08-06-2024

Appraisal of Urban Waterlogging and Extent Damage Situation after the Devastating Flood

Authors: Shan-e-hyder Soomro, Muhammad Waseem Boota, Xiaotao Shi, Gul-e-Zehra Soomro, Yinghai Li, Muhammad Tayyab, Caihong Hu, Chengshuai Liu, Yuanyang Wang, Junaid Abdul Wahid, Mairaj Hyder Alias Aamir Soomro, Jiali Guo, Yanqin Bai

Published in: Water Resources Management | Issue 12/2024

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Abstract

The rapid urbanization in Pakistan frequently leads to urban waterlogging due to storms. The event often leads to significant harm to the environment, people, and urban economies. Early identification of rainstorm events and urban waterlogging disasters is essential in reducing associated damages. Twitter (X), a widely used global microblogging platform, offers a large amount of real-time tweets that can be used for immediate monitoring purposes. This study introduces a method for recognizing microblogs with information about urban rainstorms and waterlogging and uses blog posts to assess the waterlogging risk. In light of the preliminary examination of microblog content, we determine the efficacy of cluster and support vector machine methods for classification. In addition to text vector attributes, we incorporate sentiment aspects to improve the precision and clarity of our results. We also constructed a lexicon for waterlogging severity to evaluate the risk of waterlogging based on the content of Tweets. Afterward, we generate a risk map using ArcGIS, with findings suggesting that SVM is suitable for detecting rainstorms and waterlogging events in real time. The waterlogging location aligns with the findings of the hazard assessment. The proposed risk assessment method can be a precise tool for promptly addressing emergencies.

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Literature
go back to reference Anaraki MV, Farzin S, Mousavi SF, Karami H (2021) Uncertainty analysis of climate change impacts on flood frequency by using hybrid machine learning methods. Water Resour Manage 35:199–223 Anaraki MV, Farzin S, Mousavi SF, Karami H (2021) Uncertainty analysis of climate change impacts on flood frequency by using hybrid machine learning methods. Water Resour Manage 35:199–223
go back to reference Awad M, Khanna R, Awad M, Khanna R (2015) Support vector machines for classification. Efficient learning machines: Theories, concepts, and applications for engineers and system designers, 39–66 Awad M, Khanna R, Awad M, Khanna R (2015) Support vector machines for classification. Efficient learning machines: Theories, concepts, and applications for engineers and system designers, 39–66
go back to reference Beigi G, Hu X, Maciejewski R, Liu H (2016) An overview of sentiment analysis in social media and its applications in disaster relief. Sentiment Anal Ontology Engineering: Environ Comput Intell, 313–340 Beigi G, Hu X, Maciejewski R, Liu H (2016) An overview of sentiment analysis in social media and its applications in disaster relief. Sentiment Anal Ontology Engineering: Environ Comput Intell, 313–340
go back to reference Chen G, Zhang K, Wang S, Xia Y, Chao L (2023a) iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction. Geosci Model Dev 16(10):2915–2937 Chen G, Zhang K, Wang S, Xia Y, Chao L (2023a) iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction. Geosci Model Dev 16(10):2915–2937
go back to reference Chen Y, Hu M, Chen X, Wang F, Liu B, Huo Z (2023b) An approach of using social media data to detect the real time spatio-temporal variations of urban waterlogging. J Hydrol 625:130128 Chen Y, Hu M, Chen X, Wang F, Liu B, Huo Z (2023b) An approach of using social media data to detect the real time spatio-temporal variations of urban waterlogging. J Hydrol 625:130128
go back to reference Crain SP, Zhou K, Yang SH, Zha H (2012) Dimensionality reduction and topic modeling: from latent semantic indexing to latent dirichlet allocation and beyond. Mining text data, pp 129–161 Crain SP, Zhou K, Yang SH, Zha H (2012) Dimensionality reduction and topic modeling: from latent semantic indexing to latent dirichlet allocation and beyond. Mining text data, pp 129–161
go back to reference Dai Z, Peng L, Qin S (2023) Experimental and numerical investigation on the mechanism of ground collapse induced by underground drainage pipe leakage. Environ Earth Sci 83(1):32 Dai Z, Peng L, Qin S (2023) Experimental and numerical investigation on the mechanism of ground collapse induced by underground drainage pipe leakage. Environ Earth Sci 83(1):32
go back to reference Du H, Xia J, Zeng S, Tu Y (2024) Climate change and multi-reservoirs impacts on extreme flood: nonstationary regional frequency analysis and uncertainty estimation. Water Resour Manage 38(3):951–965 Du H, Xia J, Zeng S, Tu Y (2024) Climate change and multi-reservoirs impacts on extreme flood: nonstationary regional frequency analysis and uncertainty estimation. Water Resour Manage 38(3):951–965
go back to reference Feng Y, Sester M (2018) Extraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos. ISPRS Int J Geo-Information 7(2):39 Feng Y, Sester M (2018) Extraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos. ISPRS Int J Geo-Information 7(2):39
go back to reference Franceschini R, Rosi A, Del Soldato M, Catani F, Casagli N (2022) Integrating multiple information sources for landslide hazard assessment: the case of Italy. Sci Rep 12(1):20724 Franceschini R, Rosi A, Del Soldato M, Catani F, Casagli N (2022) Integrating multiple information sources for landslide hazard assessment: the case of Italy. Sci Rep 12(1):20724
go back to reference Gaye B, Zhang D, Wulamu A (2021) Improvement of support vector machine algorithm in big data background. Math Probl Eng 2021:1–9 Gaye B, Zhang D, Wulamu A (2021) Improvement of support vector machine algorithm in big data background. Math Probl Eng 2021:1–9
go back to reference Guo X, Cheng J, Yin C, Li Q, Chen R, Fang J (2023) The extraordinary Zhengzhou flood of 7/20, 2021: how extreme weather and human response compounding to the disaster. Cities 134:104168 Guo X, Cheng J, Yin C, Li Q, Chen R, Fang J (2023) The extraordinary Zhengzhou flood of 7/20, 2021: how extreme weather and human response compounding to the disaster. Cities 134:104168
go back to reference Han Z, Wu Q, Lai R, Soomro SEH, Hou D, Hu C (2022) Spatio-temporal variations of vegetation cover and its influence on surface air temperature change over the Yellow River Basin, China. J Water Clim Change 13(9):3239–3252 Han Z, Wu Q, Lai R, Soomro SEH, Hou D, Hu C (2022) Spatio-temporal variations of vegetation cover and its influence on surface air temperature change over the Yellow River Basin, China. J Water Clim Change 13(9):3239–3252
go back to reference Hu C, Dong B, Shao H, Zhang J, Wang Y (2023) Toward purifying defect feature for Multilabel Sewer defect classification. IEEE Trans Instrum Meas 72:1–11 Hu C, Dong B, Shao H, Zhang J, Wang Y (2023) Toward purifying defect feature for Multilabel Sewer defect classification. IEEE Trans Instrum Meas 72:1–11
go back to reference Ikotun AM, Ezugwu AE, Abualigah L, Abuhaija B, Heming J (2023) K-means clustering algorithms: a comprehensive review, variants analysis, and advances in the era of big data. Inf Sci 622:178–210 Ikotun AM, Ezugwu AE, Abualigah L, Abuhaija B, Heming J (2023) K-means clustering algorithms: a comprehensive review, variants analysis, and advances in the era of big data. Inf Sci 622:178–210
go back to reference Jelodar H, Wang Y, Yuan C, Feng X, Jiang X, Li Y, Zhao L (2019) Latent dirichlet allocation (LDA) and topic modeling: models, applications, a survey. Multimedia Tools Appl 78:15169–15211 Jelodar H, Wang Y, Yuan C, Feng X, Jiang X, Li Y, Zhao L (2019) Latent dirichlet allocation (LDA) and topic modeling: models, applications, a survey. Multimedia Tools Appl 78:15169–15211
go back to reference Kankanamge N, Yigitcanlar T, Goonetilleke A, Kamruzzaman M (2020) Determining disaster severity through social media analysis: testing the methodology with South East Queensland Flood tweets. Int J Disaster risk Reduct 42:101360 Kankanamge N, Yigitcanlar T, Goonetilleke A, Kamruzzaman M (2020) Determining disaster severity through social media analysis: testing the methodology with South East Queensland Flood tweets. Int J Disaster risk Reduct 42:101360
go back to reference Karimiziarani M, Jafarzadegan K, Abbaszadeh P, Shao W, Moradkhani H (2022) Hazard risk awareness and disaster management: extracting the information content of twitter data. Sustainable Cities Soc 77:103577 Karimiziarani M, Jafarzadegan K, Abbaszadeh P, Shao W, Moradkhani H (2022) Hazard risk awareness and disaster management: extracting the information content of twitter data. Sustainable Cities Soc 77:103577
go back to reference Karimiziarani M, Shao W, Mirzaei M, Moradkhani H (2023) Toward reduction of effects of hurricanes using a social media data analytic Approach: how climate change is perceived? Clim Risk Manage 39:100480 Karimiziarani M, Shao W, Mirzaei M, Moradkhani H (2023) Toward reduction of effects of hurricanes using a social media data analytic Approach: how climate change is perceived? Clim Risk Manage 39:100480
go back to reference Kaushik S, Dhote PR, Thakur PK, Nikam BR, Aggarwal SP (2019) An integrated approach for identification of waterlogged areas using RS and GIS technique and groundwater modelling. Sustainable Water Resour Manage 5:1887–1901 Kaushik S, Dhote PR, Thakur PK, Nikam BR, Aggarwal SP (2019) An integrated approach for identification of waterlogged areas using RS and GIS technique and groundwater modelling. Sustainable Water Resour Manage 5:1887–1901
go back to reference Khan Q, Kalbus E, Zaki N, Mohamed MM (2022) Utilization of social media in floods assessment using data mining techniques. PLoS ONE, 17(4), e0267079 Khan Q, Kalbus E, Zaki N, Mohamed MM (2022) Utilization of social media in floods assessment using data mining techniques. PLoS ONE, 17(4), e0267079
go back to reference Kim J, Hastak M (2018) Social network analysis: characteristics of online social networks after a disaster. Int J Inf Manag 38(1):86–96 Kim J, Hastak M (2018) Social network analysis: characteristics of online social networks after a disaster. Int J Inf Manag 38(1):86–96
go back to reference Koop SH, van Leeuwen CJ (2015) Assessment of the sustainability of water resources management: a critical review of the city blueprint approach. Water Resour Manage 29:5649–5670 Koop SH, van Leeuwen CJ (2015) Assessment of the sustainability of water resources management: a critical review of the city blueprint approach. Water Resour Manage 29:5649–5670
go back to reference Kreibich H, Van Loon AF, Schröter K, Ward PJ, Mazzoleni M, Sairam N, Di Baldassarre G (2022) The challenge of unprecedented floods and droughts in risk management. Nature 608(7921):80–86 Kreibich H, Van Loon AF, Schröter K, Ward PJ, Mazzoleni M, Sairam N, Di Baldassarre G (2022) The challenge of unprecedented floods and droughts in risk management. Nature 608(7921):80–86
go back to reference Kumar KM, Reddy ARM (2017) An efficient k-means clustering filtering algorithm using density based initial cluster centers. Inf Sci 418:286–301 Kumar KM, Reddy ARM (2017) An efficient k-means clustering filtering algorithm using density based initial cluster centers. Inf Sci 418:286–301
go back to reference Lan T, Hu Y, Cheng L, Chen L, Guan X, Yang Y, Pan J (2022) Floods and diarrheal morbidity: evidence on the relationship, effect modifiers, and attributable risk from Sichuan Province, China. J Global Health, 12 Lan T, Hu Y, Cheng L, Chen L, Guan X, Yang Y, Pan J (2022) Floods and diarrheal morbidity: evidence on the relationship, effect modifiers, and attributable risk from Sichuan Province, China. J Global Health, 12
go back to reference Li Y, Osei FB, Hu T, Stein A (2023) Urban flood susceptibility mapping based on social media data in Chengdu city, China. Sustainable Cities Soc 88:104307 Li Y, Osei FB, Hu T, Stein A (2023) Urban flood susceptibility mapping based on social media data in Chengdu city, China. Sustainable Cities Soc 88:104307
go back to reference Lin X, Zhu G, Qiu D, Ye L, Liu Y, Chen L, Sun N Stable precipitation isotope records of cold wave events in Eurasia. Atmospheric Research, 296, 107070)(Yin, Wang L, Li L, Lu T, Tian S, Yin J, Zheng Z (2023) W. (2023). U-Net-LSTM: Time Series-Enhanced Lake Boundary Prediction Model. Land, 12(10), 1859 Lin X, Zhu G, Qiu D, Ye L, Liu Y, Chen L, Sun N Stable precipitation isotope records of cold wave events in Eurasia. Atmospheric Research, 296, 107070)(Yin, Wang L, Li L, Lu T, Tian S, Yin J, Zheng Z (2023) W. (2023). U-Net-LSTM: Time Series-Enhanced Lake Boundary Prediction Model. Land, 12(10), 1859
go back to reference Lu X, Chan FKS, Chen WQ, Chan HK, Gu X (2022) An overview of flood-induced transport disruptions on urban streets and roads in Chinese megacities: lessons and future agendas. J Environ Manage 321:115991 Lu X, Chan FKS, Chen WQ, Chan HK, Gu X (2022) An overview of flood-induced transport disruptions on urban streets and roads in Chinese megacities: lessons and future agendas. J Environ Manage 321:115991
go back to reference Ma B, Wu Z, Hu C, Wang H, Xu H, Yan D (2022) Process-oriented SWMM real-time correction and urban flood dynamic simulation. J Hydrol 605:127269 Ma B, Wu Z, Hu C, Wang H, Xu H, Yan D (2022) Process-oriented SWMM real-time correction and urban flood dynamic simulation. J Hydrol 605:127269
go back to reference Manandhar B, Cui S, Wang L, Shrestha S (2023) Urban flood hazard assessment and management practices in south asia: a review. Land 12(3):627 Manandhar B, Cui S, Wang L, Shrestha S (2023) Urban flood hazard assessment and management practices in south asia: a review. Land 12(3):627
go back to reference Muriira LM, Zhao Z, Min G (2018) Exploiting linear support vector machine for correlation-based high dimensional data classification in wireless sensor networks. Sensors 18(9):2840 Muriira LM, Zhao Z, Min G (2018) Exploiting linear support vector machine for correlation-based high dimensional data classification in wireless sensor networks. Sensors 18(9):2840
go back to reference Niu C, Jian S, Liu S, Liu C, Soomro SEH, Hu C (2023) Comparative study of reference evapotranspiration estimation models based on machine learning algorithm: a case study of Zhengzhou City. Hydrol Res 54(8):945–964 Niu C, Jian S, Liu S, Liu C, Soomro SEH, Hu C (2023) Comparative study of reference evapotranspiration estimation models based on machine learning algorithm: a case study of Zhengzhou City. Hydrol Res 54(8):945–964
go back to reference Ogie RI, James S, Moore A, Dilworth T, Amirghasemi M, Whittaker J (2022) Social media use in disaster recovery: a systematic literature review. Int J Disaster Risk Reduct 70:102783 Ogie RI, James S, Moore A, Dilworth T, Amirghasemi M, Whittaker J (2022) Social media use in disaster recovery: a systematic literature review. Int J Disaster Risk Reduct 70:102783
go back to reference Pohl D, Bouchachia A, Hellwagner H (2016) Online indexing and clustering of social media data for emergency management. Neurocomputing 172:168–179 Pohl D, Bouchachia A, Hellwagner H (2016) Online indexing and clustering of social media data for emergency management. Neurocomputing 172:168–179
go back to reference Pourebrahim N, Sultana S, Edwards J, Gochanour A, Mohanty S (2019) Understanding communication dynamics on Twitter during natural disasters: a case study of Hurricane Sandy. Int J Disaster risk Reduct 37:101176 Pourebrahim N, Sultana S, Edwards J, Gochanour A, Mohanty S (2019) Understanding communication dynamics on Twitter during natural disasters: a case study of Hurricane Sandy. Int J Disaster risk Reduct 37:101176
go back to reference Resch B, Usländer F, Havas C (2018) Cartography geographic Inform Sci 45(4):362–376Combining machine-learning topic models and spatiotemporal analysis of social media data for disaster footprint and damage assessment Resch B, Usländer F, Havas C (2018) Cartography geographic Inform Sci 45(4):362–376Combining machine-learning topic models and spatiotemporal analysis of social media data for disaster footprint and damage assessment
go back to reference Rosipal R, Girolami M, Trejo LJ, Cichocki A (2001) Kernel PCA for feature extraction and de-noising in nonlinear regression. Neural Comput Appl 10:231–243 Rosipal R, Girolami M, Trejo LJ, Cichocki A (2001) Kernel PCA for feature extraction and de-noising in nonlinear regression. Neural Comput Appl 10:231–243
go back to reference Rushton A, Phibbs S, Kenney C, Anderson C (2022) She’ll be right’: the place of gendered emotions in disasters. Gend Place Cult 29(6):793–815 Rushton A, Phibbs S, Kenney C, Anderson C (2022) She’ll be right’: the place of gendered emotions in disasters. Gend Place Cult 29(6):793–815
go back to reference Schumann GJ, Brakenridge GR, Kettner AJ, Kashif R, Niebuhr E (2018) Assisting flood disaster response with earth observation data and products: a critical assessment. Remote Sens 10(8):1230 Schumann GJ, Brakenridge GR, Kettner AJ, Kashif R, Niebuhr E (2018) Assisting flood disaster response with earth observation data and products: a critical assessment. Remote Sens 10(8):1230
go back to reference Soomro SEH, Shi X, Guo J, Li Y, Hu C, Chunyun Z, Rabab N (2022a) December Hydrological Change and Probable Ecosystem Impacts Under a Climate Change in the Kunhar River, Pakistan. International Symposium on Water Resource and Environmental Management. Cham, Springer Nature Switzerland, pp 253–262 Soomro SEH, Shi X, Guo J, Li Y, Hu C, Chunyun Z, Rabab N (2022a) December Hydrological Change and Probable Ecosystem Impacts Under a Climate Change in the Kunhar River, Pakistan. International Symposium on Water Resource and Environmental Management. Cham, Springer Nature Switzerland, pp 253–262
go back to reference Soomro SEH, Hu C, Boota MW, Ahmed Z, Chengshuai L, Zhenyue H, Soomro MHAA (2022b) River flood susceptibility and basin maturity analyzed using a coupled approach of geo-morphometric parameters and SWAT model. Water Resour Manage 36(7):2131–2160 Soomro SEH, Hu C, Boota MW, Ahmed Z, Chengshuai L, Zhenyue H, Soomro MHAA (2022b) River flood susceptibility and basin maturity analyzed using a coupled approach of geo-morphometric parameters and SWAT model. Water Resour Manage 36(7):2131–2160
go back to reference Soomro SEH, Shi X, Guo J, Li Y, Hu C, Bai Y, Nazli S (2023) Quantifying the flood and erosion susceptibility Kunhar River basin based on morphometric dynamics integrated with PCA approach. Climate Smart Engineering 2023 (CSE2023). Engineers Australia, Melbourne, pp 201–219 Soomro SEH, Shi X, Guo J, Li Y, Hu C, Bai Y, Nazli S (2023) Quantifying the flood and erosion susceptibility Kunhar River basin based on morphometric dynamics integrated with PCA approach. Climate Smart Engineering 2023 (CSE2023). Engineers Australia, Melbourne, pp 201–219
go back to reference Spruce M, Arthur R, Williams HTP (2020) Using social media to measure impacts of named storm events in the United Kingdom and Ireland. Meteorol Appl, 27(1), e1887 Spruce M, Arthur R, Williams HTP (2020) Using social media to measure impacts of named storm events in the United Kingdom and Ireland. Meteorol Appl, 27(1), e1887
go back to reference Sun Y, Liu C, Du X, Yang F, Yao Y, Soomro SEH, Hu C (2022) Urban storm flood simulation using improved SWMM based on K-means clustering of parameter samples. J Flood Risk Manag, 15(4), e12826 Sun Y, Liu C, Du X, Yang F, Yao Y, Soomro SEH, Hu C (2022) Urban storm flood simulation using improved SWMM based on K-means clustering of parameter samples. J Flood Risk Manag, 15(4), e12826
go back to reference Tang Y, Sun Y, Han Z, Wu Q, Tan B, Hu C (2023) Flood forecasting based on machine learning pattern recognition and dynamic migration of parameters. J Hydrology: Reg Stud 47:101406 Tang Y, Sun Y, Han Z, Wu Q, Tan B, Hu C (2023) Flood forecasting based on machine learning pattern recognition and dynamic migration of parameters. J Hydrology: Reg Stud 47:101406
go back to reference Wang B, Zhuang J (2017) Crisis information distribution on Twitter: a content analysis of tweets during Hurricane Sandy. Nat Hazards 89:161–181 Wang B, Zhuang J (2017) Crisis information distribution on Twitter: a content analysis of tweets during Hurricane Sandy. Nat Hazards 89:161–181
go back to reference Wang B, Loo BP, Zhen F, Xi G (2020) Urban resilience from the lens of social media data: responses to urban flooding in Nanjing, China. Cities 106:102884 Wang B, Loo BP, Zhen F, Xi G (2020) Urban resilience from the lens of social media data: responses to urban flooding in Nanjing, China. Cities 106:102884
go back to reference Wang H, Wang S, Shu X, He Y, Huang J (2024) Increasing occurrence of Sudden turns from Drought to Flood over China. J Geophys Research: Atmos, 129(3), e2023JD039974. Wang H, Wang S, Shu X, He Y, Huang J (2024) Increasing occurrence of Sudden turns from Drought to Flood over China. J Geophys Research: Atmos, 129(3), e2023JD039974.
go back to reference Wei W, Gong J, Deng J, Xu W (2023) Effects of Air Vent size and Location Design on Air Supply Efficiency in Flood Discharge tunnel Operations. J Hydraul Eng 149(12):4023050 Wei W, Gong J, Deng J, Xu W (2023) Effects of Air Vent size and Location Design on Air Supply Efficiency in Flood Discharge tunnel Operations. J Hydraul Eng 149(12):4023050
go back to reference Xiao Y, Li B, Gong Z (2018) Real-time identification of urban rainstorm waterlogging disasters based on Weibo big data. Natural Hazards 94(2):833–842 Xiao Y, Li B, Gong Z (2018) Real-time identification of urban rainstorm waterlogging disasters based on Weibo big data. Natural Hazards 94(2):833–842
go back to reference Xie X, Xie B, Cheng J, Chu Q, Dooling T (2021) A simple Monte Carlo method for estimating the chance of a cyclone impact. Nat Hazards 107(3):2573–2582 Xie X, Xie B, Cheng J, Chu Q, Dooling T (2021) A simple Monte Carlo method for estimating the chance of a cyclone impact. Nat Hazards 107(3):2573–2582
go back to reference Yao F, Wang Y (2020) Domain-specific sentiment analysis for tweets during hurricanes (DSSA-H): a domain-adversarial neural-network-based approach. Comput Environ Urban Syst 83:101522 Yao F, Wang Y (2020) Domain-specific sentiment analysis for tweets during hurricanes (DSSA-H): a domain-adversarial neural-network-based approach. Comput Environ Urban Syst 83:101522
go back to reference Yao Y, Hu C, Liu C, Yang F, Ma B, Wu Q, Soomro SEH (2022) Comprehensive performance evaluation of stormwater management measures for sponge city construction: A case study in Gui’an New District, China. J Flood Risk Manag, 15(4), e12834 Yao Y, Hu C, Liu C, Yang F, Ma B, Wu Q, Soomro SEH (2022) Comprehensive performance evaluation of stormwater management measures for sponge city construction: A case study in Gui’an New District, China. J Flood Risk Manag, 15(4), e12834
go back to reference Yigitcanlar T, Regona M, Kankanamge N, Mehmood R, D’Costa J, Lindsay S, Brhane A (2022) Detecting natural hazard-related disaster impacts with social media analytics: the case of Australian states and territories. Sustainability 14(2):810 Yigitcanlar T, Regona M, Kankanamge N, Mehmood R, D’Costa J, Lindsay S, Brhane A (2022) Detecting natural hazard-related disaster impacts with social media analytics: the case of Australian states and territories. Sustainability 14(2):810
go back to reference Yin L, Wang L, Li T, Lu S, Tian J, Yin Z, Zheng W (2023a) U-Net-LSTM: Time Series-enhanced Lake Boundary Prediction Model. Land 12(10):1859 Yin L, Wang L, Li T, Lu S, Tian J, Yin Z, Zheng W (2023a) U-Net-LSTM: Time Series-enhanced Lake Boundary Prediction Model. Land 12(10):1859
go back to reference Yin L, Wang L, Keim BD, Konsoer K, Yin Z, Liu M, Zheng W (2023b) Spatial and wavelet analysis of precipitation and river discharge during operation of the Three Gorges Dam, China. Ecol Ind 154:110837 Yin L, Wang L, Keim BD, Konsoer K, Yin Z, Liu M, Zheng W (2023b) Spatial and wavelet analysis of precipitation and river discharge during operation of the Three Gorges Dam, China. Ecol Ind 154:110837
go back to reference Yu M, Yang C, Li Y (2018) Big data in natural disaster management: a review. Geosciences 8(5):165 Yu M, Yang C, Li Y (2018) Big data in natural disaster management: a review. Geosciences 8(5):165
go back to reference Zander KK, Sibarani R, Lassa J, Nguyen D, Dimmock A (2022) How do australians use social media during natural hazards? A survey. Int J Disaster Risk Reduct 81:103207 Zander KK, Sibarani R, Lassa J, Nguyen D, Dimmock A (2022) How do australians use social media during natural hazards? A survey. Int J Disaster Risk Reduct 81:103207
go back to reference Zhang L, Ghosh R, Dekhil M, Hsu M, Liu B (2011) Combining lexicon-based and learning-based methods for Twitter sentiment analysis. HP Laboratories, Technical Report HPL- 2011, 89, 1–8 Zhang L, Ghosh R, Dekhil M, Hsu M, Liu B (2011) Combining lexicon-based and learning-based methods for Twitter sentiment analysis. HP Laboratories, Technical Report HPL- 2011, 89, 1–8
go back to reference Zhang C, Fan C, Yao W, Hu X, Mostafavi A (2019) Social media for intelligent public information and warning in disasters: an interdisciplinary review. Int J Inf Manag 49:190–207 Zhang C, Fan C, Yao W, Hu X, Mostafavi A (2019) Social media for intelligent public information and warning in disasters: an interdisciplinary review. Int J Inf Manag 49:190–207
go back to reference Zhang K, Li Y, Yu Z, Yang T, Xu J, Chao L, Lin Z (2021a) Xin’anjiang Nested Experimental Watershed (XAJ-NEW) for Understanding Multiscale Water Cycle: Scientific Objectives and Experimental Design. Engineering, 18(11) Zhang K, Li Y, Yu Z, Yang T, Xu J, Chao L, Lin Z (2021a) Xin’anjiang Nested Experimental Watershed (XAJ-NEW) for Understanding Multiscale Water Cycle: Scientific Objectives and Experimental Design. Engineering, 18(11)
go back to reference Zhang Y, Chen Z, Zheng X, Chen N, Wang Y (2021b) Extracting the location of flooding events in urban systems and analyzing the semantic risk using social sensing data. J Hydrol 603:127053 Zhang Y, Chen Z, Zheng X, Chen N, Wang Y (2021b) Extracting the location of flooding events in urban systems and analyzing the semantic risk using social sensing data. J Hydrol 603:127053
go back to reference Zhang J, Wang S, Huang J, He Y, Ren Y (2023) The precipitation-recycling process enhanced Extreme Precipitation in Xinjiang, China. Geophys Res Lett, 50(15), e2023GL104324. Zhang J, Wang S, Huang J, He Y, Ren Y (2023) The precipitation-recycling process enhanced Extreme Precipitation in Xinjiang, China. Geophys Res Lett, 50(15), e2023GL104324.
go back to reference Zhu G, Yong L, Zhao X, Liu Y, Zhang Z, Xu Y, Wang L (2022) Evaporation, infiltration and storage of soil water in different vegetation zones in the Qilian Mountains: a stable isotope perspective. Hydrol Earth Syst Sci 26(14):3771–3784 Zhu G, Yong L, Zhao X, Liu Y, Zhang Z, Xu Y, Wang L (2022) Evaporation, infiltration and storage of soil water in different vegetation zones in the Qilian Mountains: a stable isotope perspective. Hydrol Earth Syst Sci 26(14):3771–3784
Metadata
Title
Appraisal of Urban Waterlogging and Extent Damage Situation after the Devastating Flood
Authors
Shan-e-hyder Soomro
Muhammad Waseem Boota
Xiaotao Shi
Gul-e-Zehra Soomro
Yinghai Li
Muhammad Tayyab
Caihong Hu
Chengshuai Liu
Yuanyang Wang
Junaid Abdul Wahid
Mairaj Hyder Alias Aamir Soomro
Jiali Guo
Yanqin Bai
Publication date
08-06-2024
Publisher
Springer Netherlands
Published in
Water Resources Management / Issue 12/2024
Print ISSN: 0920-4741
Electronic ISSN: 1573-1650
DOI
https://doi.org/10.1007/s11269-024-03894-w