Similarity quantification of soil parametric data and sites using confidence ellipses

Han, Liang; Wang, Lin; Ding, Xuanming; Wen, Haoran; Zhang, Wengang

doi:10.1016/j.gsf.2021.101280

Cited by 39 publications

(9 citation statements)

References 29 publications

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“…where A is the mean annual soil loss per unit area (Mg/ha•y); R is the rainfall erosivity factor (MJ•mm/ha•h•y); K is the soil erodibility factor (Mg•h/MJ•mm); LS is the topographic factor (dimensionless); C is the cover-management factor (dimensionless); P is the conservation practice factor (dimensionless). The rainfall erosivity factor (R) was analyzed using rainfall data during 2000-2020 (20 years) based on the recommended equation from the Land Development Department of Thailand [35]: R = (0.4669 × Pr) − 12.141559 (2) where R is the rainfall erosivity factor and Pr is the mean annual rainfall (mm). Based on experiment of Wischmeier and Smith [37].…”

Section: Methodsmentioning

confidence: 99%

“…The soil properties affecting resistance to erosion are the percent of sand, clay, and silt, the soil elasticity, and the grainsize distribution. Recently, soft computing techniques have attracted more attention to estimating the soil properties [2][3][4]. Soil erosion by water flow also delivers large amounts of sediment to downstream areas such as reservoirs, lakes, and dams.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing the Benefit-Cost Ratio of Sediment Resources by Remote Sensing Data in the Ping River Basin, Thailand

Rangsiwanichpong

Melesse

2022

Water

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Sediment is one of the important natural resources on the Earth. Information on sediment resources is key to making decisions regarding soil resources management and mitigation during sediment hazard events. Thus, this research analyzed and mapped the benefit-cost ratio (BCR) of sediment in the Ping River using a Geographic Information System (GIS). Furthermore, the benefit of sediment was analyzed using a new application of the Revised Universal Soil Loss Equation (RUSLE) with a spatial resolution of 1 km2. The results reveal that the potential of annual soil loss and sediment deposition in the Ping River Basin (PRB) were approximately 825 and 530 m3/km2·y, respectively. In addition, the results indicated that there was a higher BCR in the upstream area of the PRB where there was greater sediment deposition. The average benefit of sediment in the PRB is USD 4280/km2·y. It is expected that the BCR of the sediment resources map analyzed in this research will help policy-makers for decision-making on the benefits of sediment resources in Thailand.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analyzing the Benefit-Cost Ratio of Sediment Resources by Remote Sensing Data in the Ping River Basin, Thailand

Rangsiwanichpong

Melesse

2022

Water

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“…Examples of Bayesian model (Chen and Leu, 2014;ChuiTing et al, 2016;Xia et al, 2018), cloud model (Shuyi et al, 2020;Wu et al, 2021) and neural network model (Khan et al, 2021;Oh and Kim, 2021). The advantage of this type of model is that it does not need to set the relationship between variables in advance, but it also has the problem of not being able to provide quantitative data on the correlation of variables (Lu et al, 2020;Han et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

An association rule mining model for evaluating the potential correlation of construction cross operation risk

Chen

Tian

Liu

et al. 2022

ECAM

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PurposeCross operation is a common operation method in the building construction process nowadays. Due to the crossover, each other's operations are disturbed, and risks also interact. This superimposed relationship of risks is worthy of attention. The study aims to develop a model for analyzing cross-working risks. This model can quantify the correlation of various risk factors.Design/methodology/approachThe concept of cross operation and the cross types involved are clarified. The risk factors were extracted from cross-operation accidents. The association rule mining (ARM) was used to analyze the results of various cross-types accidents. With the help of visualization tools, the intensity distribution and correlation path of the relationship between each factor were obtained. A complete cross-operation risk analysis model was established.FindingsThe application of ARM method proves that there are obvious risk correlation deviations in different types of cross operations. A high-frequency risk common to all cross operations is on-site safety inspection and process supervision, but the subsequent problems are different. Cutting off the high-lift risk chain timely according to the results obtained by ARM can reduce or eliminate the danger of high-frequency risk factors.Originality/valueThis is the first systematic analysis of cross-work risk in the construction. The study determined the priority of risk management. The results contribute to targeted cross-work control to reduce accidents caused by cross-work.

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“…e port is usually with a large amount of sediment and ascribing to some external hydrodynamic forces such as tides and currents. e sediment will undergo complex movements, namely, sedimentation and suspension, which leads to channel sedimentation, estuarial and coastal changes, water pollution, and other ecological problems [14][15][16][17][18]. ese problems must be considered and solved in hydraulic engineering [19], coastal engineering, port, and waterway engineering in coastal and estuarial areas.…”

Section: Introductionmentioning

confidence: 99%

The Properties of the Tide Current and Sediment at a Port of Southern China

Shen

Xie²,

Song

2022

Advances in Materials Science and Engineering

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Environmental factors of projects in the sea area, such as tidal current characteristics and sediment transport patterns, play a decisive role in the safe operation of the harbor. Based on the observation data of tide level, tidal current, suspended sediment, and surface sediment in the Port of Shenquan, this paper focuses on the study of the characteristics of tidal current and sediment of projects in the sea area. According to the measured tide hydrograph, it can be concluded that the tide in the Port of Shenquan is irregular diurnal, and the flow of rising and falling tides is basically rectilinear. The velocity of the neap tide is higher than that of spring tide, which is mainly related to the strong winds and waves. The sand source is limited, and the sediment concentration in the water is very low. The hourly sediment concentration in each station fluctuates within a narrow range, independent of hourly velocity change. The sediment is coarse and fine, with a distribution pattern of coarse near shore, fine in deep water, coarse in East and West, and fine in the middle, and the sorting coefficient of sediment is medium to well.

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Similarity quantification of soil parametric data and sites using confidence ellipses

Cited by 39 publications

References 29 publications

Analyzing the Benefit-Cost Ratio of Sediment Resources by Remote Sensing Data in the Ping River Basin, Thailand

Analyzing the Benefit-Cost Ratio of Sediment Resources by Remote Sensing Data in the Ping River Basin, Thailand

An association rule mining model for evaluating the potential correlation of construction cross operation risk

The Properties of the Tide Current and Sediment at a Port of Southern China

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