Assessing and mapping human well-being for sustainable development amid drought and flood hazards: Dadu River Basin of China

Zhang, Yufang; Ya, Xijia; Wang, Rulin; Zou, Yujia; Dong, Xiaobin

doi:10.1007/s11356-022-21733-6

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…Transitions at the desertification level mainly occurred between adjacent levels, with substantial year-to-year variations, possibly attributed to meteorological conditions. In the context of global climate change and frequent extreme weather events, local microclimates in Xilingol are significantly influenced, resulting in unstable annual precipitation [56]. The grassland's responsiveness to water availability induces rapid improvements in grassland quality following rainfall, consequently reducing the degree of desertification.…”

Section: Dynamics Of Grassland Desertification In Xilingolmentioning

confidence: 99%

A 20-Year Analysis of the Dynamics and Driving Factors of Grassland Desertification in Xilingol, China

Li,

Cao,

et al. 2023

Remote Sensing

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Grassland desertification stands as an ecological concern globally. It is crucial for desertification prevention and control to comprehend the variation in area and severity of desertified grassland (DGL), clarify the intensities of conversion among DGLs of different desertification levels, and explore the spatial and temporal driving factors of desertification. In this study, a Desertification Difference Index (DDI) model was constructed based on albedo-EVI to extract desertification information. Subsequently, intensity analysis, the Geo-detector model, and correlation analysis were applied to analyze the dynamics and driving factors of desertification. The results showed the following: (1) Spatially, the DGL in Xilingol exhibited a zonal distribution. Temporally, the degree of DGL decreased, with the proportion of severely and moderately desertified areas decreasing from 51.77% in 2000 to 37.23% in 2020, while the proportion of nondesertified and healthy areas increased from 17.85% in 2000 to 37.40% in 2020; (2) Transition intensities among different desertification levels were more intense during 2000–2012, stabilizing during 2012–2020; (3) Meteorological factors and soil conditions primarily drive the spatial distribution of DDI, with evapotranspiration exhibiting the most significant influence (q-value of 0.83), while human activities dominate interannual DDI variations. This study provides insights into the conversion patterns among different desertification levels and the divergent driving forces shaping desertification in both spatial and temporal dimensions in Xilingol.

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Section: Dynamics Of Grassland Desertification In Xilingolmentioning

confidence: 99%

A 20-Year Analysis of the Dynamics and Driving Factors of Grassland Desertification in Xilingol, China

Li,

Cao,

et al. 2023

Remote Sensing

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“…In fact, epidemic prevention facilities are rarely mentioned in comprehensive disaster prevention and mitigation plans for cities around the world (20,21). Most of the studies about urban disaster facilities focus on assessing the ability of cities to cope with natural disasters from the perspectives of floods, fires, and earthquakes, combing with population data, urban infrastructure, social factors and so on (7,(22)(23)(24)(25). Existing studies indicate the characteristics and development trends of global urban disasters and major emergencies, comparing the advantages and disadvantages of urban disaster prevention facilities and conducting a macroscopic assessment of urban emergency measures to optimize the disaster prevention planning (26)(27)(28).…”

Section: Introductionmentioning

confidence: 99%

Are the epidemic prevention facilities effective? How cities should choose epidemic prevention facilities: Taking Wuhan as an example

Hua

Ran

2023

Front. Public Health

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The COVID-19 pandemic highlighted the limitations of urban public health emergency response capabilities. Taking Wuhan as an example, this study used breakpoint regression, kernel density analysis, overlay analysis, and accessibility analysis from Stata and ArcGIS, and divided epidemic prevention facilities into the basic epidemic prevention facilities (hospitals), and the emergency epidemic prevention facilities (mobile cabin hospitals) for further analysis. The results showed that over 70% of the basic epidemic prevention facilities in Wuhan were located in high density population areas. On the contrary, most of the emergency epidemic prevention facilities were located in low density population areas. The local treatment effect of the implementation of the emergency epidemic prevention facility policy is about 1, indicating that there was a significant impact of emergency epidemic prevention facilities on outbreak control, which passed the bandwidth test. What’s more, the analysis of the accessibility of residential points revealed that more than 67.3% of people from the residential points could arrive at the epidemic prevention facilities within 15 min, and only 0.1% of them took more than 20 min to arrive. Therefore, the epidemic prevention facilities can effectively curb the spread of the epidemic, and people from residential areas can quickly get there. This study summarized the spatial characteristics of epidemic prevention facilities in Wuhan and analyzed the importance of them, thus providing a new perspective for future research on upgrading the city’s comprehensive disaster prevention system.

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The relationship between snow disasters and the human well-being of farmers and herders in the Dadu River Basin

Wang,

Zou,

Dong

et al. 2024

Ecological Informatics

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Assessing and mapping human well-being for sustainable development amid drought and flood hazards: Dadu River Basin of China

Cited by 4 publications

References 16 publications

A 20-Year Analysis of the Dynamics and Driving Factors of Grassland Desertification in Xilingol, China

A 20-Year Analysis of the Dynamics and Driving Factors of Grassland Desertification in Xilingol, China

Are the epidemic prevention facilities effective? How cities should choose epidemic prevention facilities: Taking Wuhan as an example

The relationship between snow disasters and the human well-being of farmers and herders in the Dadu River Basin

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