نوع مقاله : پژوهشی
نویسندگان
1 عضو هیئت علمی، بخش مهندسی منابع طبیعی و محیط زیست، دانشگاه شیراز، شیراز، ایران
2 بخش مهندسی منابع طبیعی و محیط زیست، دانشکده کشاورزی، دانشگاه شیراز، شیراز، ایران
3 بخش علوم و مهندسی خاک، دانشکده کشاورزی، دانشگاه شیراز، شیراز، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
The aim of this study is to analyze the spatial patterns of land subsidence and gully features identified in Darab County, Fars Province, Iran, using a spatial statistics approach. Data on subsidence cracks and gullies were collected through field surveys across the county. Univariate statistics (L(r), g(r), and O-ring functions) and bivariate statistics (L₁₂(r), g₁₂(r), and O₁₂(r)) were applied using Programita software with Monte Carlo simulations and 199 iterations.
The univariate results clearly showed that the spatial distribution patterns of both subsidence and gully features are clustered, with statistical significance confirmed at the 95% confidence level. This indicates that the controlling factors are concentrated in specific areas, leading to the formation of critical hazard zones.
The bivariate results revealed a positive and statistically significant spatial relationship between gullies and subsidence features, indicating that these two phenomena tend to occur near one another. The findings demonstrate that the distribution of subsidence and gullies in Darab County is highly structured, clustered, and spatially interconnected. These results highlight the necessity of shifting from uniform management approaches to targeted, hotspot-based management strategies.
کلیدواژهها [English]
)