International Migration, Год журнала: 2024, Номер 62(1), С. 3 - 5
Опубликована: Янв. 24, 2024
Язык: Английский
International Migration, Год журнала: 2024, Номер 62(1), С. 3 - 5
Опубликована: Янв. 24, 2024
Язык: Английский
Water, Год журнала: 2025, Номер 17(2), С. 198 - 198
Опубликована: Янв. 13, 2025
Climate-induced migration is increasingly affecting communities, disrupting livelihoods, and intensifying socio-economic inequalities, particularly in disaster-prone regions. Despite the prevalence of recurring flood hazards, there remains limited research on multi-dimensional impacts socio-culturally sensitive resource-constrained settings like Khyber Pakhtunkhwa (KPK), Pakistan. This study seeks to bridge this gap by exploring post-migration challenges flood-affected communities District Nowshera. Using a qualitative methodology, we conducted in-depth interviews with 25 diverse key informants. The results revealed profound socioeconomic instability, inadequate access essential services, cultural disruptions. Key findings include significant such as housing, loss traditional persistent financial hardships, health issues, breakdown social support networks. Moreover, displaced families face marginalization language barriers, which hinder integration into host amplifying feelings isolation identity loss. Environmental degradation resettlement areas further intensifies these challenges, prolonging poor living conditions heightened vulnerability. To address recommends community-based interventions developing resilient, culturally appropriate implementing targeted skills training programs restore promoting climate-smart agricultural practices, enacting inclusive policies promote cohesion climate-induced
Язык: Английский
Процитировано
1Опубликована: Июль 16, 2024
Abstract. In response to escalating global climate change and its increasing impacts worldwide, this study investigates the consequences of extreme weather events, focusing on unprecedented 2022 monsoon season in Swat River basin Pakistan. Record-breaking rainfall, exceeding 1960–2021 averages by 7–8 %, triggered catastrophic debris flows floods, aggravating low-income communities' challenges. The resulting financial instability severely affected millions, causing extensive damage homes, crops, transportation. employs a multidisciplinary approach, combining field investigations, remote sensing data interpretation, numerical simulations identify factors contributing flow incidents. Analysis land cover changes reveals decrease grasslands an increase barren land, indicating adverse effects deforestation region. Topography gully morphology are crucial initiating flows, with steep gradients shallow slope failures predominant. Numerical show that reached high velocities 18 m/s depths 40 m within 45 minutes. Two resulted formation dams along River, intensifying subsequent floods. emphasizes interplay rainfall during rainy season, rendering region susceptible hindering restoration efforts. findings underscore urgent need for comprehensive disaster mitigation strategies. Recommendations include mitigation, reforestation initiatives, discouraging construction activities flood-prone flow-prone regions. advocates enhanced early warning systems rigorous use planning protect environment local communities, highlighting imperative proactive measures face Additionally, spatial distribution various events their consequences, including potential hydro-meteorological triggers, how such initiate processes mountain landscapes. It also assesses degree which can be classified as abnormal. combination empirical evidence practical insights presented highlights research gaps proposes routes toward attaining comprehension monsoon-triggered geological hazards consequences.
Язык: Английский
Процитировано
5Natural hazards and earth system sciences, Год журнала: 2025, Номер 25(3), С. 1071 - 1093
Опубликована: Март 11, 2025
Abstract. This study examines the impacts of unprecedented 2022 monsoon season in Pakistan's Swat River basin, where rainfall exceeded historical averages by 7 %–8 %. extreme weather led to catastrophic debris flows and floods, worsening challenges for low-income communities. The resulting financial instability affected millions, causing significant damage homes, crops, transportation. employs a multidisciplinary approach, combining field investigations, remote sensing data interpretation, numerical simulations identify factors contributing flow incidents. Analysis land cover changes reveals decrease grasslands an increase barren land, indicating adverse effects deforestation on region. Topography gully morphology are crucial initiating flows, with steep gradients shallow-slope failures predominant. Numerical show that reached high velocities 18 m s−1 depths 40 within 45 min. Two resulted formation dams along River, intensifying subsequent floods. emphasizes interplay during rainy season, rendering region susceptible hindering restoration efforts. Recommendations include climate change mitigation, reforestation initiatives, discouraging construction activities flood-prone debris-flow-prone regions. advocates enhanced early warning systems rigorous use planning protect environment local communities, highlighting imperative proactive measures face escalating challenges. Additionally, investigates spatial distribution various events their consequences, including potential hydrometeorological triggers, how such initiate processes mountain landscapes. It also assesses extent which can be classified as abnormal. combination empirical evidence practical insights presented this highlights research gaps proposes routes toward deeper understanding monsoon-triggered geological hazards consequences.
Язык: Английский
Процитировано
0Climate Risk Management, Год журнала: 2024, Номер unknown, С. 100653 - 100653
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
3Hydrological Sciences Journal, Год журнала: 2024, Номер 70(1), С. 93 - 109
Опубликована: Окт. 25, 2024
Due to climate change and anthropogenic activities, the river's peak flow is changing, which prompts exploring non-stationary flood frequency analysis. Most of past studies modelled non-stationarity floods, considering time and/or a single dominant covariate influencing flows, but they are inadequate. This study proposes multi-covariate model (MC-NSFFM) investigates influence different covariates, such as rainfall, modified reservoir index (MRI), indices, for Mahanadi River basin in India. The models' performances evaluated by comparing them with results stationary single-covariate models (SC-NSFFMs) using standard performance measures return period showed that MC-NSFFMs performed better than SC-NSFFMs. levels corresponding 4% 22% higher models, indicating rise risks due activities.
Язык: Английский
Процитировано
1Climate Risk Management, Год журнала: 2024, Номер unknown, С. 100663 - 100663
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
1International Migration, Год журнала: 2024, Номер 62(1), С. 3 - 5
Опубликована: Янв. 24, 2024
Язык: Английский
Процитировано
0