The Impact of Extreme Floods on Rural Communities: Evidence from Pakistan

Jamshed, Ali; Birkmann, Joern; McMillan, Joanna M.; Rana, Irfan Ahmad; Lauer, Hannes

doi:10.1007/978-3-030-37425-9_30

Cited by 10 publications

(6 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, cities depend on rural areas for labor, food, and other ecological services [22]. There is a general consensus but limited evidence that these complex dependencies and linkages may be affected due to the impacts of weather or climatic events and can influence the vulnerability of rural households [18,23].…”

Section: Introductionmentioning

confidence: 99%

“…However, none of the frameworks or assessment studies clearly revealed the impact of the rural floods or other rural hazards on the interaction/linkages between spatial units (rural and urban) and its influences on the vulnerability. Although these linkages have been generally discussed in the field of disaster risk reduction and climate change adaptation, they have not been theoretically framed together (see for example [18,23,[36][37][38]).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

et al. 2020

Self Cite

View full text Add to dashboard Cite

Rural areas are highly vulnerable to floods due to limited social, economic, and physical resources. Understanding rural vulnerability is vital for developing effective disaster risk reduction strategies. Even though rural areas and cities are intrinsically linked, rural vulnerability was assessed without considering its relation to cities. Numerous theoretical frameworks on systemizing and assessing vulnerability were developed with varying level of scope and depth in terms of scale, dimensions, and components. Nevertheless, these frameworks did not explicitly mention the impact of flood or other hazards on the linkages between spatial units i.e., rural and urban. This study aims to understand and conceptualize the rural vulnerability with respect to the dynamics of rural–urban linkages in the case of flood events. To do so, current literature on rural–urban linkages, vulnerability, as well as factors that influence them were critically reviewed. Taking into account the main elements of rural–urban linkages (flow of people, information, finances, goods and services), components of vulnerability (exposure, susceptibility, and capacity), and factors (social, economic, institutional, infrastructural, spatial, and environmental), a unified framework is proposed. The framework underscores that the role of rural–urban linkages is essential to fully understand rural flood vulnerability. Moreover, the framework highlights the role of spatial factors—city size and proximity to the city—as crucial to comprehend rural vulnerability. This framework can be used as a tool for understanding multifaceted rural vulnerability for climate change adaptation and disaster risk reduction considering spatial development perspective. In this context, empirical investigations can be made to validate the proposed framework and policies can be introduced accordingly. Overall, the proposed framework can help recognize concepts and links of vulnerability, rural–urban dependencies, and rural development dynamics.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…In Pakistan, flood 2010 made devastating destruction, millions of people displaced and one fifth land of the country was drowned (Iqbal, 2018). Actually, vulnerability asks state intervention to do actions and make policies learn from the experiences (Jamshed, Birkmann, McMillan, Rana, & Lauer, 2020). Vulnerabilities also lead significant challenges that may lead towards the opportunities.…”

Section: Disaster Risk In the Provincementioning

confidence: 99%

A Comparative Study on Women Perception and Condition In the Event of Natural Disaster and Migration: A Qualitative Study from Sindh – Pakistan Flood 2010

Memon

2021

JGRCS

View full text Add to dashboard Cite

In this study, we want to compare previous and current perception and condition of migrant’s women after completing ten years of emigrant at their new residential. In province of Sindh, district Jamshoro tehsil Kotri our samples, the migrant’s families from Jacobabad, Shikarpur, Kashmore-Kandhkot, Qamber-Shahdadkot and Dadu districts were migrating to adjacent areas of Kotri during 2010 due to flood. Many of them returned back to their area when recovered but a significant number from them are permanently settled in adjacent areas of Kotri. Comparing their perception and condition, we use a new technique of comparative twin questions with conceded closed and open-ended characteristics, and a qualitatively 94 migrants’ women were interviewed. Results reveal high populated families are more motivated about their employment and health concerns and these facilities force them to settle permanently. Further study divulges that participation of migrants’ women in socio-eco and domestic decision-making process was recorded unchanged, due to resemblance of their previous and current life standards. Our results recommend that the state intervention for the purpose migrant’s processing of Passports, Computer National Identity Cards (CNICs), and issuance of Domicile and Permanent Residence Certificates (PRCs) from their current residential addresses. Their job of nature changed from agriculture to industrial that ultimately knocking the door of long-term opportunities. Hence, government should make friendly policies to facilitate migrants’ families, which is essential for development of any society.

show abstract

“…To the best of our knowledge, so far there has been no proposal in the literature to aggregate distributions by averaging probabilities of non-exceedance using the weights defined by Equation (5). However, there is literature on probability mixtures models where the weights are assessed by proportion of elements coming from different populations or estimated as additional parameters in estimating procedure, e.g., [42].…”

Section: Aggregation By Probability Mixture-mean Frequency (Mf)mentioning

confidence: 99%

“…The extreme hydrological phenomena, such as heavy rainfalls, floods, droughts, and storm surges, have been within the interest of scientists for decades. The floods, as the one of natural hazards causing the greatest threat to the life and property of the population and the national economy, are investigated especially now in the days of global climate change [1][2][3][4][5]. Estimating the probable maximum flow in subsequent years is an issue of flood frequency analysis (FFA).…”

Section: Introductionmentioning

confidence: 99%

Quantile Mixture and Probability Mixture Models in a Multi-Model Approach to Flood Frequency Analysis

Markiewicz

Bogdanowicz

Kochanek

2020

Water

View full text Add to dashboard Cite

The classical approach to flood frequency analysis (FFA) may result in significant jumps in the estimates of upper quantiles along with the lengthening series of measurements. Our proposal is a multi-model approach, also called the aggregation technique, which has turned out to be an effective method for the modeling of maximum flows, in large part eliminating the disadvantages of traditional methods. In this article, we present a probability mixture model relying on the aggregation the probabilities of non-exceedance of a constant flow value from the candidate distributions; and we compare it with the previously presented model of quantile mixture, which consists in aggregating the quantiles of the same order from individual models. Here, we defined an asymptotic standard error of design quantiles for both statistical models in two versions: without the bias of quantiles from candidate distributions with respect to aggregated quantiles and with taking it into account. The simulation experiment indicates that the latter version is more accurate and allows for reducing the quantile bias with respect to the unknown population quantile. For the case study, the 0.99 quantiles are determined for both variants of aggregation along with the assessment of its accuracy. The differences between the two proposed aggregation methods are discussed.

show abstract

The Impact of Extreme Floods on Rural Communities: Evidence from Pakistan

Cited by 10 publications

References 35 publications

A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

A Comparative Study on Women Perception and Condition In the Event of Natural Disaster and Migration: A Qualitative Study from Sindh – Pakistan Flood 2010

Quantile Mixture and Probability Mixture Models in a Multi-Model Approach to Flood Frequency Analysis

Contact Info

Product

Resources

About