Optimizing the spatial pattern of the cold island to mitigate the urban heat island effect

Ecological Indicators, Год журнала: 2023, Номер 154, С. 110550 - 110550

Опубликована: Июнь 27, 2023

Numerous studies on reducing the urban heat island effect have concentrated isolated cold islands, analyzing their cooling impact in terms of size and shape. From an international perspective, shown that enhancing connectivity islands can enhance but they do not suggest specific processes ideas for connectivity. This study aims to investigate how connect optimize spatial pattern island. Therefore, a framework is constructed this study: source area - network. Firstly, core was identified by morphological analysis. Then, analysis applied identify sources. Afterward, minimum cumulative resistance model used construct In Nanjing, case point, results reveal total 27 areas 52 corridors been identified. 6 first-level CSAs situated northern suburbs Nanjing prevent spread effect. 2 second-level 18 third-level are scattered throughout improve climate. The 29 primary help mitigate transfer from city center. 23 secondary mainly located centers contributing preventing aggregating. be as strategic measure fragmentation isolation island, which provides implications further expansion

Язык: Английский

---

GIS-based flood susceptibility mapping using bivariate statistical model in Swat River Basin, Eastern Hindukush region, Pakistan

Frontiers in Environmental Science, Год журнала: 2023, Номер 11

Опубликована: Июль 6, 2023

Frequent flooding can greatly jeopardize local people’s lives, properties, agriculture, economy, etc. The Swat River Basin (SRB), in the eastern Hindukush region of Pakistan, is a major flood-prone basin with long history devastating floods and substantial socioeconomic physical damages. Here we produced flood susceptibility map SRB, using frequency ratio (FR) bivariate statistical model. A database was created that comprised inventory as dependent variable causative factors (slope, elevation, curvature, drainage density, topographic wetness index, stream power land use cover, normalized difference vegetation rainfall) independent variables association between them were quantified. Data collected remote sensing sources, field surveys, available literature, all studied resampled to 30 m resolution spatially distributed. results show about 26% areas are very high highly susceptible flooding, 19% moderate, whereas 55% low SRB. Overall, southern SRB compared their northern counterparts, while slope, curvature vital susceptibility. Our model’s success prediction rates 91.6% 90.3%, respectively, based on ROC (receiver operating characteristic) curve. findings this study will lead better management control risk region. study’s assist decision-makers make appropriate sustainable strategies for mitigation future damage

Язык: Английский

---

On the heat waves over India and their future projections under different SSP scenarios from CMIP6 models

International Journal of Climatology, Год журнала: 2024, Номер 44(3), С. 973 - 995

Опубликована: Янв. 30, 2024

Abstract Thirteen Coupled Model Intercomparison Project phase 6 (CMIP6) models were employed to simulate mean, maximum, and minimum temperature across 7 homogenous regions of India for both annual summer season (June, July, August (JJA)). The model fidelity was assessed by comparing them with observed Climate Research Unit dataset. JJA multi‐model ensemble the present (1981–2014) suggests large warm biases in temperature. Although could spatial variability mean maximum over most homogeneous regions, they do not compare well representing temporal variability. We also found, that although different individual have strengths weaknesses characteristics India, a few perform better than others. For example, CNRM‐CM6 represent patterns however struggle capturing HadGEM3‐GC31‐LL, KACE‐1‐0G, UKESM1‐0‐LL are comparably best‐performing features India. during far future period is projected increase 1.5°C, 2.3°C, 4.1°C Socioeconomic Pathways (SSPs) SSP1‐2.6, SSP2‐4.5, SSP5‐8.5 respectively. At regional scales, revealed significant increases Interior Peninsula (3.8°C), Western Himalaya (5.6°C), Northwest (3.9°C), West Coast (3.6°C), East Northeast North Central highlighting Himalaya's heightened sensitivity. Further, heat wave frequency rise, northern territories (NW, NC, NE, part IP) affected, anticipating week‐long waves affecting around 50% India's population under stronger SSPs. Such unprecedented impacts seem be less profound case abatement scenarios such as SSP1‐2.6. Our findings support urgent need more ambitious mitigation adaptation strategies alleviate public health climate change.

Язык: Английский

---

Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan

Journal of Environmental Management, Год журнала: 2024, Номер 371, С. 123094 - 123094

Опубликована: Ноя. 2, 2024

Язык: Английский

---

Evaluation and Projection of Temperatures Over Pakistan: Insights from the Downscaled NEX-GDDP-CMIP6 Models

Earth Systems and Environment, Год журнала: 2025, Номер unknown

Опубликована: Янв. 15, 2025

Язык: Английский

---

Climatological patterns of heatwaves during winter and spring 2023 and trends for the period 1979–2023 in central South America

Frontiers in Climate, Год журнала: 2025, Номер 7

Опубликована: Фев. 13, 2025

In the last 40 years, trends in heat wave frequency, intensity, and duration have increased steadily around world. These intense waves were characterized persistent atmospheric blocking episode, with a continuous presence of warm air mass lack rain for several consecutive days, that contributed to pronounced positive temperature anomalies, reinforced by extremely low soil moisture, drought conditions. The year 2023 was warmest on record, global average +1.45°C above pre-industrial (1850–1900) values worldwide. South America since 1900, 0.81°C 1991–2020 reference period. Central experienced sequence heatwaves series being most during autumn spring 2023. From August December 2023, meteorological services Brazil, Argentina, Paraguay Bolivia reported record-high maximum temperatures this period stations east Andes identified 7 episodes affected all these countries. large-scale circulation patterns show an anomalously high-pressure system facilitated formation dome through dry, hot columns over dry soil. Several locations about 10°C normal, some 40°C days row. aggravated Amazonia second half El Niño year. Compound drought-heat favored hydrological drought, while dryness amplified risk fires.

Язык: Английский

---

Augmented human thermal discomfort in urban centers of the Arabian Peninsula

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Фев. 17, 2024

Abstract Anthropogenic climate change has amplified human thermal discomfort in urban environments. Despite the considerable risks posed to public health, there is a lack of comprehensive research, evaluating spatiotemporal changes and its characteristics hot-hyper arid regions, such as Arabian Peninsula (AP). The current study analyzes categories their AP, using newly developed high-resolution gridded ERA5-HEAT (Human thErmAl comforT) dataset for period 1979–2022. In addition, assesses interplay between Universal Thermal Climate Index (UTCI) El Niño-Southern Oscillation (ENSO) indices period. results reveal significant increase characteristics, with higher spatial variability AP region. major centers southwestern, central, southeastern parts have experienced increases (0.4–0.8 °C), frequency intensity stress during temporal distribution demonstrates linear UTCI frequencies intensities, particularly from 1998 onward, signifying transition towards hotter characterized by frequent, intense, prolonged heat conditions. Moreover, ENSO exhibit dipole pattern correlation positive (negative) southwestern (eastern parts) AP. study’s findings suggest that policymakers planners need prioritize health well-being AP’s areas, especially vulnerable groups, implementing adaptation mitigation strategies, carefully designing future cities mitigate effects stress.

Язык: Английский

---

A novel approach for evaluation of CMIP6 GCMs in simulating temperature and precipitation extremes of Pakistan

International Journal of Climatology, Год журнала: 2024, Номер 44(2), С. 592 - 612

Опубликована: Янв. 18, 2024

Abstract The study used a hybrid approach to evaluate the performance of 20 global climate models (GCMs) from CMIP6 in reproducing extreme temperature and precipitation indices over Pakistan. This first analysed future simulations extremes discarded GCMs whose projections fell outside 95% confidence interval. remaining GCMs' was evaluated using Kling Gupta Efficiency‐based criteria. changes climatic events Pakistan were projected multi‐model ensemble (MME) median selected for four shared socioeconomic pathways (SSPs) two periods, 2020–2059 2060–2099. Four showed inconsistency projecting initially. past revealed EC‐Earth3‐Veg‐LR, GFDL‐ESM4, MRI‐ESM2‐0 NOR‐ESM2‐MM be effective historical period. MME gradual increase most periods all SSPs across country. Specifically, it higher daily maximum (TXx) by 4.5–5°C, minimum (TNn) more than 4.5°C, consecutive days with 95th percentile (WSDI) >160 days, one‐day rainfall 9–15 mm above >50 northern high‐elevated areas during 2060–2099 SSP585. Similarly, TXx TNn >4.5°C, WSDI 140 tropical nights 40–60 also found western arid region highlights that regions are at risk temperatures due change.

Язык: Английский

---

Assessment of the impacts of climate change on the construction of homogeneous climatic regions and ensemble climate projections using CMIP6 data over Pakistan

Atmospheric Research, Год журнала: 2024, Номер 304, С. 107359 - 107359

Опубликована: Март 24, 2024

Язык: Английский

---

Hourly impact of urban features on the spatial distribution of land surface temperature: A study across 30 cities

Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105701 - 105701

Опубликована: Июль 27, 2024

Язык: Английский

---