Understanding and extending the geographical detector model under a linear regression framework

H Zhang, G Dong, J Wang, TL Zhang… - International Journal …, 2023 - Taylor & Francis
Abstract The Geographical Detector Model (GDM) is a popular statistical toolkit for
geographical attribution analysis. Despite the striking resemblance of the q-statistic in GDM …

A New Risk-Based Method in Decision Making to Create Dust Sources Maps: A Case Study of Saudi Arabia

Y Alsubhi, S Qureshi, MH Siddiqui - Remote Sensing, 2023 - mdpi.com
Dust storms are one of the major causes of the destruction of natural ecosystems and human
infrastructure worldwide. Therefore, the identification and mapping of susceptible regions to …

Aeolian activities change and possible mechanisms in central Asia on sub-orbital to decadal timescales

W Li, C Ye, H Hu, G Li - Quaternary International, 2023 - Elsevier
The aeolian activity in central Asia (CA) and its relevant dust emissions significantly
influenced the global climate changes and biogeochemical cycles. Fully understanding the …

[HTML][HTML] Accommodating uncertainty in soil erosion risk assessment: Integration of Bayesian belief networks and MPSIAC model

H Bashari, A Boali, S Soltani - Natural Hazards Research, 2024 - Elsevier
Accommodating uncertainty stands as one of the most salient challenges in the
development of soil erosion assessment tools. We presented a novel approach integrating …

Mapping land degradation and sand and dust generation hotspots by spatiotemporal data fusion analysis: A case‐study in the southern Gobi (Mongolia)

J Kim, M Dorjsuren, C Zucca… - Land Degradation & …, 2023 - Wiley Online Library
The ongoing desertification and aeolian erosion processes in the southern Gobi Desert are
ranked as one of the most significant global environmental disasters. In this study, we …

Implementation of a multi‐layered land degradation monitoring and forecasting framework toward integrated countermeasure planning in drylands

SK Gupta, J Kim, C Zucca… - Land Degradation & …, 2023 - Wiley Online Library
Various earth observation (EO) data and related spatial technologies are employed to
monitor land degradation (LD) and its impacts on the drylands. However, a comprehensive …

[图书][B] Soil Science in Italy: 1861 to 2024

C Dazzi - 2024 - books.google.com
When the International Union of Soil Science (IUSS) asked the Italian Society of Soil
Science (SISS) to organize the celebratory conference of its foundation, which took place on …

Long Term Monitoring of Ecological Status of Major Deserts of the World

A Kushwaha, R Bhatnagar, P Kumar, C Zucca… - Journal of the Indian …, 2024 - Springer
Deserts are unique ecosystems that provides suitable habitats to many floral and faunal
species and that are beneficial to human beings in many ways. Desert ecosystems are …

Quantifying the contributions of natural and anthropogenic dust sources in Shanxi Province, northern China

CQ Xu, JJ Hu, Z Zhang, XM Zhang, WB Wang, ZN Cui - Chemosphere, 2023 - Elsevier
Dust storms have direct or indirect impacts on climate change and human health. Identifying
and quantifying natural/anthropogenic dust sources can facilitate effective prevention and …

Driving Forces on the Distribution of Urban Ecosystem's Non-Point Pollution Reduction Service

C Shu, K Du, B Han, Z Chen, H Wang, Z Ouyang - Atmosphere, 2023 - mdpi.com
In the context of increasing urbanization and worsening environmental pollution, nonpoint
source pollution during high-frequency rainfall has become a major ecological problem that …