Machine learning helps reveal key factors affecting tire wear particulate matter emissions DOI Creative Commons
Zhenyu Jia, Jiawei Yin,

Tiange Fang

и другие.

Environment International, Год журнала: 2024, Номер 195, С. 109224 - 109224

Опубликована: Дек. 19, 2024

Язык: Английский

Quantitative Model Construction for Sustainable Security Patterns in Social–Ecological Links Using Remote Sensing and Machine Learning DOI Creative Commons

Lili Liu,

Meng Chen, Pingping Luo

и другие.

Remote Sensing, Год журнала: 2023, Номер 15(15), С. 3837 - 3837

Опубликована: Авг. 1, 2023

With the global issues of extreme climate and urbanization, ecological security patterns (ESPs) in Qinling Mountains are facing prominent challenges. As a crucial barrier China, understanding characteristics ESPs is vital for achieving sustainable development. This study focuses on Yangxian employs methods such as machine learning (ML), remote sensing (RS), geographic information systems (GISs), analytic hierarchy process principal component analysis (AHP–PCA), minimum cumulative resistance (MCR) model to construct an network based multi-factor sensitivity (ES) conduct quantitative spatial analysis. The results demonstrate that AHP–PCA method ML overcomes limitations single-weighting method. were established, consisting 21 main secondary sources with area 592.81 km2 (18.55%), 41 corridors length 738.85 km, 33 nodes. A coupling relationship among three dimensions was observed: comprehensive sensitivity, ESPs, administrative districts (ADs). Huangjinxia Town (1.43 C5) Huayang (7.28 C4) likely have significant areas vulnerability, while Machang Maoping important ESPs. ADs focus protection management. second corridor indicated high-quality construction, necessitating implementation strict policies area. innovation lies utilization methods, RS technologies, pattern planning propose new perspective space. provides foundation urban rural will help facilitate development region.

Язык: Английский

Процитировано

19

Global systematical and comprehensive overview of mountainous flood risk under climate change and human activities DOI
Madhab Rijal, Pingping Luo, Binaya Kumar Mishra

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 941, С. 173672 - 173672

Опубликована: Май 31, 2024

Язык: Английский

Процитировано

8

The Influence of Visual Landscapes on Road Traffic Safety: An Assessment Using Remote Sensing and Deep Learning DOI Creative Commons

Lili Liu,

Zhan Gao, Pingping Luo

и другие.

Remote Sensing, Год журнала: 2023, Номер 15(18), С. 4437 - 4437

Опубликована: Сен. 9, 2023

Rapid global economic development, population growth, and increased motorization have resulted in significant issues urban traffic safety. This study explores the intrinsic connections between road environments driving safety by integrating multiple visual landscape elements. High-resolution remote sensing street-view images were used as primary data sources to obtain features of an expressway. Deep learning semantic segmentation was employed calculate features, a trend surface fitting model driver fatigue established based on experimental from 30 drivers who completed tasks random order. There spatial variations expressway city center periphery. Heart rate values fluctuated within range 0.2% with every 10% change speed complexity. Specifically, complexity changed 5.28 8.30, heart 91 96. suggests that higher degree richness effectively mitigates increases exerts positive impact provides reference for quantitative assessment research combines using sources. It may guide implementation measures during planning construction.

Язык: Английский

Процитировано

17

Research on remote sensing image storage management and a fast visualization system based on cloud computing technology DOI
Lichun Yang,

Weibing He,

Xiaoyong Qiang

и другие.

Multimedia Tools and Applications, Год журнала: 2024, Номер 83(21), С. 59861 - 59886

Опубликована: Янв. 2, 2024

Язык: Английский

Процитировано

5

Historical and comparative overview of sponge campus construction and future challenges DOI Open Access
Pingping Luo,

Peiyao Yan,

Xiaohui Wang

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 907, С. 167477 - 167477

Опубликована: Окт. 4, 2023

Язык: Английский

Процитировано

10

A novel quantity assessment of landscape ecological risk using human-nature driving mechanism for sustainable society DOI
Lili Liu, Jiabin Wei, Pingping Luo

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 947, С. 173892 - 173892

Опубликована: Июнь 13, 2024

Язык: Английский

Процитировано

4

A Novel Integrated Spatiotemporal-Variable Model of Landscape Changes in Traditional Villages in the Jinshaan Gorge, Yellow River Basin DOI Creative Commons

Lili Liu,

Meng Chen, Pingping Luo

и другие.

Land, Год журнала: 2023, Номер 12(9), С. 1666 - 1666

Опубликована: Авг. 25, 2023

Spatiotemporal studies of landscape pattern evolution in traditional villages are beneficial for addressing complex urbanization and global climate change. Using the Jiaxian Linxian Jinshaan Gorge Yellow River Basin, this study employed a three-dimensional (3D) analysis involving three spatial scales (macro, meso, micro), temporal (past, present, future), variables (humanity, society, nature) based on methods spatiotemporal data (SDA), geographic information system, remote sensing, index (LPI) by Fragstats. On macro scale, significant turning point ecological conservation awareness was indicated LPI SDA. Urban rural construction land continuously increased because urbanization. Plowland, grassland, woodland were main influencing factors settlements, with 0.42% cumulative transformation rate. meso interactions mutual promotion mountain aquatic environments, facilities, agricultural production, cultural heritage have shaped socioeconomic dimensions evolution. micro urbanization, some humanistic spaces lost their original functions. A novel spatiotemporal-variable quantitative model explored characteristics human–land coupling, which can be used sustainable development river basins worldwide.

Язык: Английский

Процитировано

8

Exploring the Comprehensive Evaluation of Sustainable Development in Rural Tourism: A Perspective and Method Based on the AVC Theory DOI Creative Commons

Lili Liu,

Ruonan Wu,

Yuanrong Lou

и другие.

Land, Год журнала: 2023, Номер 12(7), С. 1473 - 1473

Опубликована: Июль 24, 2023

The coronavirus disease (COVID-19) pandemic has led to a surge in rural tourism, catering consumers during the pandemic. However, tourism faces severe issues of homogeneity and environmental degradation owing excessive development. Sustainable development is an urgent problem. This study, based on average variable cost (AVC) theory, aims explore sustainable landscapes with focus Shijing area. A landscape evaluation system was established through factor analysis weight calculations, ten principal components contributing cumulative contribution rate 77.196%. weighted values for attractiveness, vitality, resilience were 0.539, 0.297, 0.164, respectively. findings indicate that Caijiapo Village had highest comprehensive score 88.79 (good level performance), whereas Laoyukou lowest 80.25 (average performance). Liyukou exhibited strongest overall strength, Liyuanpo Xiazhuang moderate weakest strength. results reveal all five villages possess rich natural favorable geographical conditions, demonstrating potential attractiveness carrying capacity vitality relatively weak. supports AVC theory application research emphasizes importance quality economic vitality. main contributions this study are as follows: (1) establishment providing scientific assessment method development; (2) case Shiying area provides decision-makers reference strategies; (3) emphasis ecological conservation recommendations address homogenization degradation.

Язык: Английский

Процитировано

7

Editorial: Emerging talents in water science: water and critical zone 2021/22 DOI Creative Commons
Pingping Luo, Yubin Zhang, Yixuan Zhang

и другие.

Frontiers in Water, Год журнала: 2024, Номер 6

Опубликована: Апрель 3, 2024

Keywords: water and critical zone, climate change, ecohydrology of the isotope hydrology, human impacts on zone processes

Язык: Английский

Процитировано

0

Machine learning helps reveal key factors affecting tire wear particulate matter emissions DOI Creative Commons
Zhenyu Jia, Jiawei Yin,

Tiange Fang

и другие.

Environment International, Год журнала: 2024, Номер 195, С. 109224 - 109224

Опубликована: Дек. 19, 2024

Язык: Английский

Процитировано

0