Comparison of three spatial interpolation methods in predicting time-dependent toxicities of single substances and mixtures DOI
Rui Qu,

Yuanzhao Xiong,

Ruiping Li

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 480, P. 136029 - 136029

Published: Oct. 1, 2024

Language: Английский

The Trade-Offs and Constraints of Watershed Ecosystem Services: A Case Study of the West Liao River Basin in China DOI Creative Commons

Ritao Lyu,

Meng Yuan, Xiao Fu

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 119 - 119

Published: Jan. 9, 2025

Clarifying the spatiotemporal trade-offs between supply and demand of ecosystem services is critical for regional ecological security sustainable development. This paper focused on West Liao River Basin, a crucial barrier in Inner Mongolia, quantified by utilizing InVEST model. A coupled coordination model established to evaluate supply–demand trade-offs, while decoupling index used analyze dynamic changes coordination. The influencing factors relationship are also explored using geographically temporally weighted regression (GTWR) results from 2005 2020 indicated decrease carbon storage an increase emissions. Water yield, food, meat increased, their decreased. Soil retention both increased. Basin-scale improved low moderate levels, with significant gains matching degrees. Decoupling indices fluctuated, central region showing significantly higher index. GTWR showed that spatial temporal impacts eight driving factors, including land use, CD differed significantly, precipitation having most impact. research provided theoretical basis future development restoration policies.

Language: Английский

Citations

1

A Village-Scale Study Regarding Landscape Evolution and Ecological Effects in a Coastal Inner Harbor DOI Creative Commons

Qinqin Pan,

Saiqiang Li,

Jialin Li

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 319 - 319

Published: Feb. 5, 2025

The development of inner harbors has been accompanied by the destruction natural landscapes, which in turn led to numerous ecological problems. However, temporal and spatial relationships between changes harbor landscape effects are not yet clear, there relatively few studies at smaller scales such as villages. In this study, we investigated Xieqian Harbor Xiangshan County, along eastern coast China, then analyzed change evolutionary characteristics carbon storage, soil conservation, water yield village scale for years 2000, 2010, 2020. We used geographically temporally weighted regression (GTWR) model explore spatiotemporal variables effects. results showed that fragmentation diversity patches increased from 2000 2020 due reclamation aquaculture, tourism development, construction, reflected edge density (ED) Shannon index (SHDI), 11.31% 2.82%, respectively. This resulted a notable reduction 572.6 thousand tons sequestration, 853 million 19 cubic meters over past 20 years. When non-stationarity heterogeneity were combined, relationship became highly intricate, with varying responses across different time periods locations. area-weighted mean patch shape (AWMSI) was key factor affecting three Our research confirmed significant on scale. Compared larger-scale studies, village-scale revealed more precisely impacts localized effects, providing support sustainable management new approach integrating GTWR into time–space analysis research.

Language: Английский

Citations

0

Ecological security driving mechanisms and optimization of zoning in Chinese urban agglomerations: A case study of the central plains urban agglomeration DOI Creative Commons
Jinyuan Zhang, Xuning Qiao,

Yongju Yang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113190 - 113190

Published: Feb. 1, 2025

Language: Английский

Citations

0

Application of a PMF+BMR hybrid model for source apportionment and ecological risk assessment of soil heavy metal(loid)s DOI

Jiaheng Wu,

Huijuan Wang,

Zilin Han

et al.

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: unknown, P. 138734 - 138734

Published: May 1, 2025

Language: Английский

Citations

0

Determination of soil environmental criteria for high-risk trace metals in urban park soils using improved CLEA model DOI

Zilin Han,

Huijuan Wang,

Xinmiao Huang

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 480, P. 136001 - 136001

Published: Sept. 30, 2024

Language: Английский

Citations

3

Dialogue between algorithms and soil: Machine learning unravels the mystery of phthalates pollution in soil DOI

Boyou Pan,

Jialin Lei, Bogui Pan

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 482, P. 136604 - 136604

Published: Nov. 20, 2024

Language: Английский

Citations

3

Distribution characteristics and pollution evaluation of heavy metals in surface water of a uranium tailing area based on spatial interpolation DOI

Guangya Kuang,

Shiqi Xue,

Zhirong Liu

et al.

Journal of Radioanalytical and Nuclear Chemistry, Journal Year: 2024, Volume and Issue: 333(11), P. 5443 - 5456

Published: July 10, 2024

Language: Английский

Citations

1

Co-Kriging-Guided Interpolation for Mapping Forest Aboveground Biomass by Integrating Global Ecosystem Dynamics Investigation and Sentinel-2 Data DOI Creative Commons

Yingchen Wang,

Hongtao Wang, Cheng Wang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(16), P. 2913 - 2913

Published: Aug. 9, 2024

Mapping wall-to-wall forest aboveground biomass (AGB) at large scales is critical for understanding global climate change and the carbon cycle. In previous studies, a regression-based method was commonly used to map spatially continuous distribution of AGB with aid optical images, which may suffer from saturation effect. The Global Ecosystem Dynamics Investigation (GEDI) can collect vertical structure information high precision on scale. this study, we proposed collaborative kriging (co-kriging) interpolation-based mapping by integrating GEDI Sentinel-2 data. First, fusing spectral features images GEDI, optimal estimation model footprint-level determined comparing different machine-learning algorithms. Second, predicted as main variable, rh95 B12 covariates, build co-kriging guided interpolation model. Finally, employed AGB. results showed following: (1) For AGB, CatBoost achieved highest accuracy data (R2 = 0.87, RMSE 49.56 Mg/ha, rRMSE 27.06%). (2) based exhibited relatively mitigated effect in areas higher 0.69, 81.56 40.98%, bias −3.236 Mg/ha). result demonstrates that combined multi-source be promising solution monitoring

Language: Английский

Citations

1

The Distribution of Climate Comfort Duration for Forest Therapy Has Temporal and Regional Heterogeneity in Xinjiang DOI Open Access
Shuxin Zhu, Ruifeng Wang,

Qiya Wang

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(9), P. 1553 - 1553

Published: Sept. 3, 2024

Climatic comfortability serves as a crucial factor in tourism decision making; however, there remains gap evaluating the climate comfort conditions specifically for forest therapy. We developed new index—Forest Therapy Climate Comfort Index (FTCCI)—to evaluate therapy by integrating Temperature (T), and Humidity (THI), Wind Efficiency (WEI). A total of 26 potential bases were selected from protected areas Xinjiang divided into five clusters: Aksu cluster, Hami Altai Ili its surrounding Urumqi cluster. Based on monthly observation data 25 surface meteorological stations Xinjiang, spanning 1994 to 2023, employing Co-Kriging interpolation method, we explored spatial–temporal variation FTCCI June September made clear duration across Xinjiang. The results indicated that (1) T, THI, WEI demonstrated consistent pattern temporal variation. July emerged optimal month, followed closely August, with most indices both months falling within level. Conversely, proved be least favorable month due frigid discomfort human body, whereas June’s sensation was slightly more tolerable. (2) distribution showed regional heterogeneity. cluster displayed therapy, poorest performance. (3) There differences among various clusters Overall, excluding Tomur Peak Nalati (July August), remaining 24 offered ideal mid late through August. Notably, had longest duration, ranging 3.5 4 months. Therefore, reliance unique climate, resource, geographical condition each base is creating special products cater diverse health needs tourists.

Language: Английский

Citations

1

Evaluation of nutrient spatial distribution and heavy metal pollution improvement in small-scale farmland under the action of biochar and microbial organic fertilizer DOI

Zhenyu He,

Bo Kang,

Leiyu Feng

et al.

Soil and Tillage Research, Journal Year: 2024, Volume and Issue: 248, P. 106386 - 106386

Published: Dec. 6, 2024

Language: Английский

Citations

1