Correlation between the wind speed and the elevation to evaluate the wind potential in the southern region of Ecuador

Solano, Juan; Montaño, Thuesman; Maldonado, Jorge Luis; Ordóñez, Ángel; Pesantez, Manuel

doi:10.1016/j.egyr.2021.06.044

Cited by 15 publications

(5 citation statements)

References 21 publications

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“…The fire weather was determined using meteorological data from NASA (https://power. larc.nasa.gov/data-access-viewer/ accessed on 5 November 2021) [66] corresponding to temperature ( • C), precipitation (mm), relative humidity (%), and wind speed (m/s converted to km/h) in each of the contrasting burned areas, considering each year of the fire. With the data, the respective annual climographs were generated that demonstrated fire behavior and also allowed for interpretation of the fire severity indices (Figure 3).…”

Section: Determination Of Fire Weather and Severity Of Wildfiresmentioning

confidence: 99%

Effects of the Severity of Wildfires on Some Physical-Chemical Soil Properties in a Humid Montane Scrublands Ecosystem in Southern Ecuador

Carrión-Paladines

Hinojosa

Jiménez

et al. 2022

Fire

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Humid montane scrublands (HMs) represent one of the least studied ecosystems in Ecuador, which in the last decade have been seriously threatened by the increase in wildfires. Our main objective was to evaluate the effects of wildfire severity on physicochemical soil properties in the HMs of southern Ecuador. For this purpose, fire severity was measured using the Normalized Burn Ratio (NBR) and the difference between pre-fire and post-fire (NBR Pre-fire-NBR Post-fire) over three contrasted periods (years 2019, 2017, and 2015) was determined. Likewise, 72 soil samples from burned HMs and 72 soil samples from unburned HMs were collected at a depth of 0 to 10 cm, and some physical (bulk density and texture) and biochemical (pH, soil organic matter, and total nutrients) soil properties were analyzed and statistically processed by one-way ANOVA and principal component analysis (PCA). Results indicate that burned HMs showed mixed-severity burning patterns and that in the most recent wildfires that are of high severity, SOM, N, P, Cu, and Zn contents decreased drastically (PCA: component 1); in addition, there was an increase in soil compaction (PCA: component 2). However, in older wildfires, total SOM, N, P, K, and soil pH content increases with time compared even to HMs that never burned (p-value < 0.05). These results can help decision makers in the design of policies, regulations, and proposals for the environmental restoration of HMs in southern Ecuador affected by wildfires.

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Section: Determination Of Fire Weather and Severity Of Wildfiresmentioning

confidence: 99%

Effects of the Severity of Wildfires on Some Physical-Chemical Soil Properties in a Humid Montane Scrublands Ecosystem in Southern Ecuador

Carrión-Paladines

Hinojosa

Jiménez

et al. 2022

Fire

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“…The results are consistent with previous studies. For example, DEM was reported to have significant impacts on the wind speed, which was found to change the rate of air flow and change the horizontal and vertical shear of wind speed [ 52 , 53 , 54 ]. The effects of the temperature on the spatial variation of the wind speed are mainly due to the alteration of the pressure gradient by the temperature differences [ 55 , 56 , 57 ].…”

Section: Resultsmentioning

confidence: 99%

Temporal and Spatial Variation (2001–2020) Characteristics of Wind Speed in the Water Erosion Area of the Typical Black Soil Region, Northeast China

Pei

Wang

Sun

et al. 2022

IJERPH

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Soil erosion is one of the driving factors leading to the land degradation in the black soil region of Northeast China. It is of great significance to analyze the temporal and spatial variation characteristics of wind speed there for the study of wind erosion impacts and geomantic erosion. Based on the daily meteorological data of 51 meteorological stations from 2001 to 2020, the interannual variation, seasonal variation, and spatial characteristics of wind speed were analyzed by cumulative anomaly method, Mann–Kendall test method, and Kriging interpolation method. The natural factors affecting wind speed were discussed by using geographic detectors, and the potential effects of wind speed on soil erosion were further analyzed. The results showed that the maximum annual wind speed in the water erosion area of the typical black soil region fluctuated with a decreasing trend. However, the mean annual wind speed demonstrated a decreasing trend before 2014, and then showed increasing trend. The proportion of the meteorological stations with decreasing mean annual wind speed and maximum annual wind speed during years 2001–2020 was 70% and 60%, respectively. The seasonal variation of the mean monthly wind speed and maximum monthly wind speed showed the same trend as Spring > Autumn > Winter > Summer. The spatial variation of the mean annual wind speed and maximum annual wind speed was consistent. According to the results of the geographic detectors, DEM and temperature are the main factors affecting the spatial heterogeneity of the maximum annual wind speed. The area of ‘severe’ and ‘extremely severe’ of wind impacts account for 23.4%, and specific concerns should be paid to the areas of Nenjiang, Yilan, Tonghe, and Baoqing, located in the north and east sides of the study area. The results of the article could provide reference for the study of wind–water complex erosion in the water erosion area of the typical black soil region for better soil erosion control and ecological protection.

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“…The wind speed at wind turbine height can be determined by using Equation () [31, 32],

\begin{equation}\frac{{{v}_1}}{{{v}_0}} = {\left( {\frac{{{z}_1}}{{{z}_0}}} \right)}^ \propto \end{equation}

where

{z}_1\

refers to wind turbine hub height,

{z}_0\ {\rm{refers\ to}}\

the reference height, v 1 refers to the wind speed at z 1 , and v 0 refers to the wind speed at z 0 . α varies according to the surface roughness coefficient.…”

Section: Methodsmentioning

confidence: 99%

Multi‐parameter optimization of performance and economic viability of Ferris wheel wind turbine for low wind speed regions in Africa

Adeyeye

Ijumba

Colton

2023

IET Renewable Power Gen

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Previous studies on wind turbine and wind farm optimization for Levellized cost of energy (LCOE) and annual energy production (AEP) have focused on horizontal axis wind turbines (HAWT) and vertical axis wind turbines (VAWT). Regions with lower wind speed resources tend to have a higher levellized cost of energy and lower annual energy production. In this paper, the authors investigate the optimization of a novel, Ferris wheel wind turbine (FWT) for low wind speed regions of Africa. The research used an Excel‐based Multi‐Objective Optimization (EMOO) model. The EMOO program has both binary‐coded and real‐coded Elitist Non‐Dominated Sorting Genetic Algorithm (NSGA‐II). The optimization is conducted by studying the effect of varying the rim diameter, number of blades, and the rated wind speeds for an 800‐kW generator on the performance and economics in 21 African cities. The results show that, on average, the return‐on‐investment increases over the base design by up to 182%, and both the simple payback period (SPP) and the levellized cost of electricity decreased by 39% as the rim diameter increases combined with a 50% reduction in blade numbers. In addition, a 75% reduction in blade numbers caused a further 32% decrease on average for both the simple payback period and the levellized cost of electricity.

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Correlation between the wind speed and the elevation to evaluate the wind potential in the southern region of Ecuador

Cited by 15 publications

References 21 publications

Effects of the Severity of Wildfires on Some Physical-Chemical Soil Properties in a Humid Montane Scrublands Ecosystem in Southern Ecuador

Effects of the Severity of Wildfires on Some Physical-Chemical Soil Properties in a Humid Montane Scrublands Ecosystem in Southern Ecuador

Temporal and Spatial Variation (2001–2020) Characteristics of Wind Speed in the Water Erosion Area of the Typical Black Soil Region, Northeast China

Multi‐parameter optimization of performance and economic viability of Ferris wheel wind turbine for low wind speed regions in Africa

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