Spatial Analysis and Risk Assessment of Meteorological Disasters Affecting Cotton Cultivation in Xinjiang: A Comprehensive Model Approach DOI Open Access
Ping Zhang, Zhuo Chen,

Gang Ding

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 4938 - 4938

Published: June 8, 2024

A systematic understanding of the spatial distribution meteorological disasters that affect cotton growth, such as rainstorms, gales, and hail, is important for reducing plant losses promoting sustainable development. Our study aimed to evaluate risk during growth analyze their driving factors. assessment model major cultivation in Xinjiang was established by integrating entropy weight methods an analytic hierarchy process. disaster index system, including vulnerability disaster-bearing bodies, hazards disaster-causing factors, exposure constructed using Google Earth Engine. We determined comprehensive levels various regions Xinjiang. Research shows selection indicators very important, crop with a clear body can make results more accurate. It necessary consider multiple species assessment. The revealed differences 2020. high risks accounted 42% planting area, mainly distributed Karamay, Tacheng, Kashgar, Changjizhou, Kezhou, Ilizhou. Consequently, this provides scientific basis Xinjiang, China.

Language: Английский

Soil with high plant available water capacity can mitigate the risk of wheat growth under drought conditions in southeastern Australia DOI

Keyu Xiang,

Bin Wang, De Li Liu

et al.

European Journal of Agronomy, Journal Year: 2024, Volume and Issue: 164, P. 127460 - 127460

Published: Dec. 5, 2024

Language: Английский

Citations

1
Spatial Analysis and Risk Assessment of Meteorological Disasters Affecting Cotton Cultivation in Xinjiang: A Comprehensive Model Approach DOI Open Access
Ping Zhang, Zhuo Chen,

Gang Ding

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 4938 - 4938

Published: June 8, 2024

A systematic understanding of the spatial distribution meteorological disasters that affect cotton growth, such as rainstorms, gales, and hail, is important for reducing plant losses promoting sustainable development. Our study aimed to evaluate risk during growth analyze their driving factors. assessment model major cultivation in Xinjiang was established by integrating entropy weight methods an analytic hierarchy process. disaster index system, including vulnerability disaster-bearing bodies, hazards disaster-causing factors, exposure constructed using Google Earth Engine. We determined comprehensive levels various regions Xinjiang. Research shows selection indicators very important, crop with a clear body can make results more accurate. It necessary consider multiple species assessment. The revealed differences 2020. high risks accounted 42% planting area, mainly distributed Karamay, Tacheng, Kashgar, Changjizhou, Kezhou, Ilizhou. Consequently, this provides scientific basis Xinjiang, China.

Language: Английский

Citations

0