Analysing district-level climate vulnerability pattern in Madhya Pradesh, India, based on agricultural and socio-economic indicators

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(6)

Опубликована: Май 9, 2024

Язык: Английский

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Assessing climate change risk and vulnerability among Bhil and Bhilala tribal communities in Madhya Pradesh, India: a multidimensional approach

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 27, 2025

Climate change presents significant risks to marginalized communities, particularly in tribal groups like the Bhil and Bhilala communities of Madhya Pradesh, India. Limited empirical studies have focused on effects climate tribes This study aims assess risk vulnerability among employing modified Mann–Kendall (MMK) test identify trends, a assessment framework based Intergovernmental panel sixth report (IPCC-AR6), multiple linear regression (MLR). The MMK indicates an increasing trend rainfall (MMK = 1.099) temperature. However, household perceptions reveal high awareness climatic changes, with 97% respondents reporting irregularity 98% documenting increased summer hot days. shows that households face higher (0.107) than (0.068), which is determined by exposure sensitivity. MLR results further emphasize 12 23 indicators significantly affect (R-squared 0.698), events (β 0.015), housing structure 0.07), food security being key contributors. findings indicate long-term trends are already affecting livelihoods. It calls for targeted adaptation strategies, incorporating enhanced infrastructure, crop diversification, better access information government schemes.

Язык: Английский

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Perceptions of climate change and it’s impacts on tribal livelihoods: an empirical study from central India

Natural Hazards, Год журнала: 2025, Номер unknown

Опубликована: Март 11, 2025

Язык: Английский

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Heatwave Magnitude Impact and Projected Changes Over Himachal Pradesh: CMIP6 Projections

Environmental Quality Management, Год журнала: 2025, Номер 34(3)

Опубликована: Март 1, 2025

ABSTRACT The Indian subcontinent has increasingly experienced extreme and severe heat waves in recent years, with significant implications for public health infrastructure. This study investigates the rising variability heatwave characteristics—such as duration, frequency, intensity—specifically Himachal Pradesh, India. Utilizing daily maximum temperature data from 13 General Circulation Models (GCMs) under CMIP6 framework, this research examines projections 2020 to 2100 across four Shared Socioeconomic Pathways (SSPs): 1‐2.6, 2‐4.5, 3‐7.0, 5‐8.5. analysis aims predict impact of climate change on patterns at district level highlighting variations intensity frequency throughout region. Our findings reveal that certain districts are particularly vulnerable heatwaves, differences how altitude varying degrees influence these patterns. Notably, results indicate increases, so does waves—contrary traditional assumptions about elevation mitigating events. contributes novel insights into relationship between dynamics mountainous regions. By offering high‐resolution multiple SSPs, underscore critical need altitude‐specific adaptation measures mitigate escalating impacts heatwaves Pradesh future scenarios.

Язык: Английский

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Long-term variability of extreme precipitation with WRF model at a complex terrain River Basin

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 2, 2025

Global warming has profound effects on precipitation patterns, leading to more frequent and extreme events over the world. These changes pose significant challenges sustainable development of socio-economic ecological environments. This study evaluated performance new generation mesoscale Weather Research Forecasting (WRF) model in simulating long-term Minjiang River Basin (MRB) China from 1981 2020. We calculated 12 indices WRF simulations compared them with observations. The spatio-temporal variations were further analyzed terms intensity, frequency, duration. results indicated that can appropriately reproduce spatial distribution acceptable biases. is significantly better for intensity frequency duration indices. Except PRCPTOT R10mm, accurately captures interannual precipitation. Meanwhile, pre-whitening Mann-Kendall (PWMK) test suggested identify increasing trends precipitation, particularly R95p, R99p, R50mm. provides valuable insights forecasting warning other mountainous regions.

Язык: Английский

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Wetland Distribution in the Qinghai‐Tibetan Plateau and Its Responses to Climate Change and Glacial Retreat

Hydrological Processes, Год журнала: 2025, Номер 39(1)

Опубликована: Янв. 1, 2025

ABSTRACT The Qinghai‐Tibetan Plateau (QTP) experienced noticeable warming and glacial retreat during the past decades. However, it is unclear how these changes affect QTP wetland distribution in future. To this end, study estimated potential under present future climate scenarios using five machine learning methods. We further decoupled sensitivity of area to temperature, precipitation, glacier based on control experiment, quantified environmental niche distribution. RusBoost algorithm model has best performance shows that current about 1.6 × 10 5 km 2 , accounting for 6.22% land surface. By 2100, wetlands are projected increase by 9.6% 77.3% relative SSP1‐2.6 SSP5‐8.5 scenarios, respectively. Climate wetting positively correlated with areas. Each 1°C warmest season temperature can lead a 9.0% Glacial some extent leads increase, example, southeastern QTP, likely due meltwater recharge. will decrease longer distances northeast because tend grow within suitable distance 30 glaciers. As more spread recharge range meltwater, expect near This research provides valuable reference predicting alpine regions context global warming.

Язык: Английский

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A Comparative Approach to Understand the Performance of CMIP6 Models for Maximum Temperature near Tropic of Cancer Using Multiple Machine Learning Ensembles

Water Resources Management, Год журнала: 2025, Номер unknown

Опубликована: Фев. 11, 2025

Язык: Английский

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Unravelling the dynamics of rainfall patterns in Bihar, India: A comprehensive spatiotemporal analysis

Environmental Science and Pollution Research, Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

Язык: Английский

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Trend analysis of hydro-climatic parameters in Sonbeel: evaluating Asia’s second largest seasonal wetland

Acta Geophysica, Год журнала: 2025, Номер unknown

Опубликована: Апрель 19, 2025

Язык: Английский

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Enhanced Methods for Evaluating Water-inrush Risk from Underlying Aquifers: Incorporating Dynamic Weight Theory and Uncertainty Analysis Model

Water Resources Management, Год журнала: 2024, Номер 38(12), С. 4615 - 4631

Опубликована: Май 20, 2024

Язык: Английский

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