Improved evaluation method of the soil wind erosion intensity based on the cloud–AHP model under the stress of global climate change

Guo, Bing; Zang, Wenqian; Yang, Xiaofan; Huang, Xiangzhi; Zhang, Rui; Wu, Hongwei; Yang, Luoan; Wang, Zhen; Sun, Guangqiang; Zhang, Yi

doi:10.1016/j.scitotenv.2020.141271

Cited by 56 publications

(19 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The cloud and its digital features are mapped to each other, and the given digital features can generate the cloud through a forward generator. The steps of the forward cloud generator algorithm are as follows [6]:…”

Section: Cloud Modelmentioning

confidence: 99%

Risk assessment of electricity transmission and distribution tariff regulation for power grid enterprises based on best-worst method and cloud model

You

Fang

et al. 2021

E3S Web Conf.

View full text Add to dashboard Cite

The electricity transmission and distribution tariff policy of the second supervision cycle in China has formulated a much better electricity transmission and distribution tariff supervision system. In this context, the research on the risk related to electricity transmission and distribution tariff regulation faced by power grid enterprises is helpful for power regulatory agencies and business operators to identify and avoid risks in time and promote the sustainable development of electric power industry. Firstly, the risk evaluation criteria system is established. Secondly, a risk evaluation model based on the best and worst method (BWM) and cloud model for electricity transmission and distribution tariff regulation is proposed. Finally, the risk level of power transmission and distribution tariff regulation faced by four provincial power grid enterprises is evaluated. The validity and practicability of the proposed model in this paper are proved by the empirical analysis.

show abstract

Section: Cloud Modelmentioning

confidence: 99%

Risk assessment of electricity transmission and distribution tariff regulation for power grid enterprises based on best-worst method and cloud model

You

Fang

et al. 2021

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…The fifth assessment report of the Intergovernmental Panel on climate change (IPCC) pointed out that under the stress of global warming, the frequency and intensity of extreme weather and climate events, such as drought and extreme high temperature, are increasing in the global scope (Bai et al, 2020;Guo et al,2020c). In recent 50 years, the annual average surface temperature warming in China is about 1.1℃, and the warming rate is close to 0.22℃/(10 a), which is significantly higher than the global or hemispherical average warming rate in the same period (Ren et al, 2005;Shi,2011;Guo et al, 2020d). Drought is the most prominent environmental problem in northern China, while that of southern and eastern parts is also aggravating (Shi, 2009;Liu et al, 2012;Chen et al,2013;Hu et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Temporal and spatial evolution patterns and prediction of drought in China in recent 500 years

Guo

Zhang

Zang

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Drought is a prominent disaster in Chinese history. Analysing the spatial and temporal evolution laws of drought could provide decision supports for drought prevention and control. However, fewer studies were applied to investigate the long-term evolution rules of drought events on different spatial and temporal scales. In this paper, the spatio-temporal changes patterns of drought in China were analysed with geostatistical methods based on the 1470–2000a drought datasets in China, and then the possible future drought trend was predicted. Results showed that :(1) The drought risk in the northern region was the highest during the past 500 years. And, the drought intensity index showed an overall increasing trend with detail pattern of weakening->strengthening-> weakening-> strengthening; (2) The drought condition in the north was server than that in the south, but the drought trend in the south was significantly aggravated. (3) The drought gravity centres were mainly distributed in the north, but it showed a tendency to move southward. (4) From 1470 to 2000, the study area showed a significant drought enhancements, which was predicted to show an increasing trend of drought after 2000.

show abstract

“…The main reasons for this increase are considered to be deforestation and cropland expansion [1,2]. Soil erosion by wind is the process of destruction, separation, transportation and deposition of soil particles that affects negatively land and human health, agricultural production, as well as ecosystem services [3][4][5]. The process is controlled by several factors such as: wind speed and direction, temperature, precipitation, soil wetness, surface roughness, soil texture and aggregation, soil organic matter, vegetation cover, field size, agricultural activities and protective measures [6,7].…”

Section: Introductionmentioning

confidence: 99%

Long-Term Impact of Wind Erosion on the Particle Size Distribution of Soils in the Eastern Part of the European Union

Lackóová

Pokrývková

Dufková

et al. 2021

Entropy

View full text Add to dashboard Cite

Wind erosion is the leading cause of soil degradation and air pollution in many regions of the world. As wind erosion is controlled by climatic factors, research on this phenomenon is urgently needed in soil and land management in order to better adapt to climate change. In this paper, the impact of wind erosion on the soil surface in relation to particle size distribution was investigated. Changes in percentage of sand, silt and clay fractions based on historical KPP data (1961–1970), LUCAS data base (2009), and field measurements (2016) were analysed in five cadastral areas impacted by wind erosion (Záhorie Lowlands, Slovakia). With the use of GIS tools, models of spatial distribution of sand, silt, clay and erodible fraction (EF) content were developed based on those measurements. Our findings proved that soil texture change driven by wind erosion could happen relatively quickly, and a significant proportion of soil fine particles may be carried away within a few years. The results indicate that the soil surface became much rougher over the period of more than 50 years, but also that the accumulation of fraction of the silt particles occurred in most of the areas affected by the erosive effect.

show abstract

Improved evaluation method of the soil wind erosion intensity based on the cloud–AHP model under the stress of global climate change

Cited by 56 publications

References 27 publications

Risk assessment of electricity transmission and distribution tariff regulation for power grid enterprises based on best-worst method and cloud model

Risk assessment of electricity transmission and distribution tariff regulation for power grid enterprises based on best-worst method and cloud model

Temporal and spatial evolution patterns and prediction of drought in China in recent 500 years

Long-Term Impact of Wind Erosion on the Particle Size Distribution of Soils in the Eastern Part of the European Union

Contact Info

Product

Resources

About