The interplay between structural flood protection, population density and flood mortality along the Jamuna River

Ferdous, Md Ruknul

doi:10.1201/9781003023128-5

Cited by 2 publications

(4 citation statements)

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“…Of the 44 articles, only 2.2 % used "Individual or Household" as the spatial scale for physical systems and 8.9 % used "Group or Community". Besides this, 15.6 % of the studies relied on other spatial units: engineering structures, such as dams (Wallington and Cai, 2020) or polders (Sung et al, 2018;Yu et al, 2017), physical delimitations like groundwater (Basel et al, 2020), and floodplains (Ferdous et al, 2018(Ferdous et al, , 2020Han et al, 2020;Wang et al, Figure 4. Spatial scales used to characterize the physical and social systems in socio-hydrology studies.…”

Section: Trends Regarding the Studies' Spatial Scalementioning

confidence: 99%

“…For instance, Wang et al (2020) used the "Floodplain" and defined it as the flood hazard extent with a 100-year return period. Meanwhile, Ferdous et al (2018Ferdous et al ( , 2020 flood events. For the social system, on all continents except Africa, most studies were conducted at the level of individuals or small groups (Fig.…”

Section: Trends Regarding the Studies' Spatial Scalementioning

confidence: 99%

“…For droughts, 60 % of the studies applied a "Hydrological" component (Basel et al, 2020;Kuil et al, 2016Kuil et al, , 2019. Several articles (38.6 %) used other physical components, such as tide level (Sung et al, 2018;Yu et al, 2017) or hazard (Ferdous et al, 2018(Ferdous et al, , 2020Leong, 2018;Mondino et al, 2020a, b). Some studies (13.6 %) did not identify the physical components in detail and were classified as "Undefined".…”

Section: Trends Regarding the Social And Physical Components Of Coupl...mentioning

confidence: 99%

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To which extent are socio-hydrology studies truly integrative? The case of natural hazards and disaster research

Vanelli

Kobiyama

Brito

2022

Hydrol. Earth Syst. Sci.

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Abstract. Given the recent developments in socio-hydrology and its potential contributions to disaster risk reduction (DRR), we conducted a systematic literature review of socio-hydrological studies aiming to identify persisting gaps and discuss tractable approaches for tackling them. A total of 44 articles that address natural hazards or disasters were reviewed in detail. Our results indicated that: (i) most of the studies addressed floods, whereas few applications were applied to droughts and compound or multi-hazard events; (ii) none of the reviewed articles investigated interactions across temporal and spatial scales; (iii) there is a wide range of understandings of what “social” means in socio-hydrology; (iv) quantitative approaches were used more often in comparison with mixed and qualitative approaches; (v) monodisciplinary studies prevailed over multi- or interdisciplinary ones; and (vi) one-third of the articles involved stakeholder participation. In summary, we observed a fragmentation in the field, with a multitude of social and physical components, methods, and data sources being used. Based on these findings, we point out potential ways of tackling the identified challenges to advance socio-hydrology, including studying multiple hazards in a joint framework and exploiting new methods for integrating results from qualitative and quantitative analyses to leverage the strengths of different fields of knowledge. Addressing these challenges will improve our understanding of human–water interactions to support DRR.

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Section: Trends Regarding the Studies' Spatial Scalementioning

confidence: 99%

Section: Trends Regarding the Studies' Spatial Scalementioning

confidence: 99%

Section: Trends Regarding the Social And Physical Components Of Coupl...mentioning

confidence: 99%

See 1 more Smart Citation

To which extent are socio-hydrology studies truly integrative? The case of natural hazards and disaster research

Vanelli

Kobiyama

Brito

2022

Hydrol. Earth Syst. Sci.

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show abstract

“…Monitoring the distribution of the population is necessary so that there is no concentration in only one area. Overpopulated areas will cause many problems, such as the emergence of slum buildings (Das et al, 2021), traffic jams (Chang et al, 2021) and floods (Ferdous et al, 2020). The absence of predictions of future population distribution is one of the causes of urban planning in the future is not optimal.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Population Distribution in 2030 Using the Integration of the Ca-Ann Land Cover Change Method With Numeric Extrapolation in Karawang-Bekasi, Indonesia

Ihsan

Anantri²,

Syamsu³

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Population growth continues to increase every year. It is recorded that in 2022 the world population will reach 7,953,952,567 or an increase of 1% from 2021. The increasing number of residents encourages land use/land cover changes to become settlements. In addition to changes in land use/land cover, there is also population mobilization from one place to another. This population movement will coincide with developments that will occur in the area. Monitoring population distribution is necessary to have no concentration in only one area. Areas with too dense a population will cause many problems such as the emergence of slum buildings, congestion, and flooding. In this case, the population density is centralized due to poor regional planning. The absence of prediction of future population distribution is one of the reasons why urban planning in the future is not optimal. This study aims to predict the distribution of the population in 2030. In predicting the distribution of population in 2030, it integrates the prediction of land use/land cover in 2030 with the prediction of the population in 2030. In predicting land use/land in 2030, land use/land in 2005 and 2010 is used as the primary data for change prediction. The method used to predict changes in land use/land cover is the CA-ANN method by considering the driving factors of changes in the form of altitude, distance from the river, and distance from the road. Predicting the population of 2030 will be done by extrapolation using the three mathematical equations approach, they are linear, exponential, and power equation. The results of the prediction of land use/land and population in 2030 are then used to predict the population distribution in 2030. From the results, In the 2030 there was an increase in the class of settlements which reached an area of 745,169 Km2 with the overall accuracy of the land cover model reached 82%. The largest population projection come from exponential equation that until 13024668 in 2030. The model population distribution in 2030, show that there is no significant different between three projection model to be used in model population distribution 2030. It is hoped that this research can be a reference for policymakers in planning sustainable urban development.

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The interplay between structural flood protection, population density and flood mortality along the Jamuna River

Cited by 2 publications

References 0 publications

To which extent are socio-hydrology studies truly integrative? The case of natural hazards and disaster research

To which extent are socio-hydrology studies truly integrative? The case of natural hazards and disaster research

Prediction of Population Distribution in 2030 Using the Integration of the Ca-Ann Land Cover Change Method With Numeric Extrapolation in Karawang-Bekasi, Indonesia

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