Unveiling the power of unity: A novel examination of regional cooperation in mitigating air pollution DOI
Xianchun Zhang, Chen You,

Shouqiang Chen

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121556 - 121556

Published: June 26, 2024

Language: Английский

TRIMS LST: a daily 1 km all-weather land surface temperature dataset for China's landmass and surrounding areas (2000–2022) DOI Creative Commons
Wenbin Tang, Ji Zhou, Jin Ma

et al.

Earth system science data, Journal Year: 2024, Volume and Issue: 16(1), P. 387 - 419

Published: Jan. 17, 2024

Abstract. Land surface temperature (LST) is a key variable within Earth's climate system and necessary input parameter required by numerous land–atmosphere models. It can be directly retrieved from satellite thermal infrared (TIR) observations, which contain many invalid pixels mainly caused cloud contamination. To investigate the spatial temporal variations in LST China, long-term, high-quality, spatiotemporally continuous datasets (i.e., all-weather LST) are urgently needed. Fusing TIR reanalysis viable route to obtain long time-series LSTs. Among LSTs, MODIS most commonly used, few corresponding products have been reported recently. However, publicly LSTs were not available during gaps of between 2000 2002. In this study, we generated daily (four observations per day) 1 km dataset for China's landmass surrounding areas, Thermal Reanalysis Integrating Moderate-resolution Spatial-seamless (TRIMS) LST, begins on first day new millennium (1 January 2000). We used enhanced remote sensing merging (E-RTM) method generate TRIMS with being filled, had achieved original RTM method. Specifically, developed two novel approaches, i.e., random-forest-based spatiotemporal (RFSTM) approach time-sequential LST-based reconstruction (TSETR) approach, respectively, produce Terra/MODIS-based Aqua/MODIS-based gaps. also conducted thorough evaluation LST. A comparison Global Data Assimilation System (GLDAS) ERA5-Land demonstrates that has similar patterns but higher image quality, more details, no evident discontinuities. The results outside gap show consistent comparisons Advanced Along-Track Scanning Radiometer (AATSR) mean bias deviation (MBD) 0.09/0.37 K standard (SD) 1.45/1.55 K. Validation based situ at 19 ground sites indicates error (MBE) ranging −2.26 1.73 root square (RMSE) 0.80 3.68 There significant difference clear-sky cloudy conditions. For gap, it observed RFSTM TSETR perform similarly Additionally, differences Aqua Terra remain stable throughout gap. already scientific communities various applications such as soil moisture downscaling, evapotranspiration estimation, urban heat island modeling. freely conveniently https://doi.org/10.11888/Meteoro.tpdc.271252 (Zhou et al., 2021).

Language: Английский

Citations

38

Unveiling China’s natural and planted forest spatial–temporal dynamics from 1990 to 2020 DOI
Kai Cheng, Haitao Yang, Hongcan Guan

et al.

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2024, Volume and Issue: 209, P. 37 - 50

Published: Feb. 5, 2024

Language: Английский

Citations

33

The impact of large-scale ecological restoration projects on trade-offs/synergies and clusters of ecosystem services DOI
Feinan Lyu, Jinqi Tang, Aruhan Olhnuud

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121591 - 121591

Published: June 27, 2024

Language: Английский

Citations

18

A comprehensive framework for evaluating ecosystem quality changes and human activity contributions in Inner Mongolia and Xinjiang, China DOI
Faisal Mumtaz, Jing Li, Qinhuo Liu

et al.

Land Use Policy, Journal Year: 2025, Volume and Issue: 151, P. 107494 - 107494

Published: Feb. 5, 2025

Language: Английский

Citations

6

A Rolling‐Bead Triboelectric Nanogenerator for Harvesting Omnidirectional Wind‐Induced Energy toward Shelter Forests Monitoring DOI

Yaxing Cao,

Erming Su,

Yanshuo Sun

et al.

Small, Journal Year: 2023, Volume and Issue: 20(10)

Published: Oct. 24, 2023

Abstract Shelter forests (or shelter‐belts), while crucial for climate regulation, lack monitoring systems, e.g., Internet of Things (IoT) devices, but their abundant wind energy can potentially power these devices using the trees as mounting points. To harness energy, an omnidirectional fluid‐induced vibration triboelectric nanogenerator (OFIV‐TENG) has been developed. The device is installed on shelter forest to harvest from all directions, employing a (FIV) mechanism (fluid‐responding structure) that capture and use ranging low speeds (vortex vibration) high (galloping). rolling‐bead (TENG) efficiently minimizing wear tear. Additionally, usage double electrodes results in effective surface charge density 21.4 µC m −2 , which highest among reported TENGs. collected utilized temperature humidity monitoring, providing feedback effect regulation forests, alarming fires, wireless speed warning. In general, this work provides promising rational strategy, natural resources like supporting structures, shows broad application prospects efficient collection, warning, environmentally friendliness.

Language: Английский

Citations

24

Climate and land use changes impact the trajectories of ecosystem service bundles in an urban agglomeration: Intricate interaction trends and driver identification under SSP-RCP scenarios DOI Creative Commons

Xin Ai,

Xi Zheng, Yaru Zhang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 944, P. 173828 - 173828

Published: June 10, 2024

Language: Английский

Citations

14

Response of vegetation carbon sequestration potential to the effectiveness of vegetation restoration in karst ecologically fragile areas in Guizhou, southwest China DOI Creative Commons
Meng Zhu, Zhongfa Zhou,

Xiaopiao Wu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111495 - 111495

Published: Jan. 1, 2024

In the southwest karst areas of China, changes in overlying vegetation due to ecological restoration cause considerable carbon sequestration (CS). Assessing CS potential this is crucial for promoting optimization and regulation regional restoration(VR) policies. This study based on net primary productivity, maximum coverage average coverage. Using VR effectiveness index (Ej) quantitatively evaluate spatiotemporal characteristics effectiveness, quantifying pattern using photosynthetic model, clarifying main driving mechanisms CS.This results showed that more than 54.25 % studied area ecologically fragile has achieved significant (Ej ≥ 20) from 2000 2020. The spatial distribution intensity was higher northeast. Moreover, there a strong correlation between with greater densities poor natural background conditions, showing economic growth complement each other. current value cover r = 0.06 (p < 0.05) magnitude change 0.38 0.05), which indicates where greening greater. range constrained by environment areas, continuous enhancement positive feedback intervention weakening negative tended promote ground surface increased potential. provide reference long-term goal "carbon neutrality" response offset atmospheric CO2 emissions.

Language: Английский

Citations

12

An integrated approach to prioritizing ecological restoration of abandoned mine lands based on cost-benefit analysis DOI
Zhichao Dong, Zhenxing Bian,

Wenjuan Jin

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 924, P. 171579 - 171579

Published: March 8, 2024

Language: Английский

Citations

10

Human activities dominated terrestrial productivity increase over the past 22 years in typical arid and semiarid regions of Xinjiang, China DOI
Xin He, Changjiang Liu, Ting Zhou

et al.

CATENA, Journal Year: 2025, Volume and Issue: 250, P. 108754 - 108754

Published: Jan. 28, 2025

Language: Английский

Citations

1

Ecosystem service supply and demand relationship and spatial identification of driving threshold in Loess Plateau of China DOI

Haihong Qiu,

Yingchen Bai,

Hairong Han

et al.

Ecological Engineering, Journal Year: 2025, Volume and Issue: 212, P. 107534 - 107534

Published: Jan. 31, 2025

Language: Английский

Citations

1