Distributed modeling of direct solar radiation on rugged terrain of the Yellow River Basin

Zeng, Yan; Qiu, Xinfa; Liu, Changming; Aijun, Jiang

doi:10.1360/gs050407

Cited by 17 publications

(17 citation statements)

References 15 publications

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“…e drying power is defined as the value of the evaporation rate from open water, obtained by using the equation of saturation vapor pressure at surface and air temperatures [15]. e expression for estimating the drying power E a is as follows [4,15,16]:…”

Section: Advances In Meteorologymentioning

confidence: 99%

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Estimation of Actual Evapotranspiration Distribution in the Huaihe River Upstream Basin Based on the Generalized Complementary Principle

Gao

Qiao

Qiu

et al. 2018

Advances in Meteorology

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e accurate estimation of actual evapotranspiration can help improve the utilization of water resources and ease the ecological stress. Based on the generalized complementary principle proposed by Brutsaert in 2015, we used meteorological and hydrological data to estimate the actual evapotranspiration at a resolution of 1 km × 1 km between the years of 1961 and 2000 and also verified the model's stability. In this study, we used the water balance equation to calibrate the parameters, coupled with the spatial simulation results of the meteorological elements in the actual evapotranspiration model. e estimation results of actual evapotranspiration show that the generalized complementary principle model had high estimation precision in this basin, with an average absolute error of 16.64 mm and an average relative error of 2.25%. With respect to spatial distribution, the average actual evapotranspiration over the years in the basin tended to have high and low distribution in the northern and southern parts of the basin, respectively. e actual evapotranspiration in the basin showed a decreasing trend over the period, with a rate of 24.1 mm/10 years. Correlation coefficient analysis showed that the percentage decreases in percentage sunshine and the decreases in the daily range of temperature were the main reasons for the decrease in actual evapotranspiration.

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Section: Advances In Meteorologymentioning

confidence: 99%

“…Evapotranspiration from the land surface plays a key role in maintaining the balance of land surface water-lakes-reservoirs and the energy balance of the earth's surface [1][2][3][4]. Evapotranspiration is a very important step in the water cycle.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Actual Evapotranspiration Distribution in the Huaihe River Upstream Basin Based on the Generalized Complementary Principle

Gao

Qiao

Qiu

et al. 2018

Advances in Meteorology

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“…The coefficients a s and b s were estimated by an optimized method for solar radiation (Liu et al 2012a;Zeng et al 2008), which can improve the precision of the ET 0 estimation.…”

Section: Calculation Of Etmentioning

confidence: 99%

The spatiotemporal variation of reference evapotranspiration and the contribution of its climatic factors in the Loess Plateau, China

Liang

Bai

et al. 2016

Environ Earth Sci

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Reference evapotranspiration (ET 0 ) is an important parameter of agricultural activity and hydrometeorological studies. In this study, we used the Food and Agriculture Organization Penman-Monteith equation to evaluate ET 0 , and to investigate the change point of ET 0 in the Loess Plateau region from 1960 to 2013. The results showed that a change point was detected at approximately the year 1990 for annual ET 0 series from 108 meteorological stations using Cramer's statistical test. The annual ET 0 decreased significantly (p \ 0.05) by -1.22 mm year -1 from 1960 to 1990, especially during the summer months, which contributed the most to the total annual reduction, while it increased significantly (p \ 0.001) by 1.15 mm year -1 from 1991 to 2013, with the spring months contributing the most. The ET 0 and its trend in the five integrated management divisions of the Loess Plateau have significant spatial heterogeneity. The highest and lowest ET 0 were found in the third and fifth divisions from 1960 to 2013. The ET 0 decreased significantly in the first division and increased in the fourth divisions (1960-1990 and 1991-2013, respectively). Using differential equations to quantitatively evaluate the contribution of various factors, the wind speed was mostly responsible for the variability in the ET 0 trend from 1960 to 1990, followed by solar radiation and vapor pressure. The positive effect of air temperature on ET 0 trend was offset by the other three factors, and the combined effects of the four climatic variables led to the decrease in the ET 0 trend. However, the rapidly increasing air temperature became the predominant factor in the change in the ET 0 trend after 1990. A spatiotemporal variation of predominant contribution to the ET 0 trend was identified. The temperature dominant region changed from the third to the first division for 1960-1990 and 1991-2013. Radiation did not change. Vapor pressure changed from the first to the fourth and the wind speed changed from the forth to the third. This study could contribute to a better understanding of the response of the spatial and temporal variation of ET 0 to increased climate change. Additionally, this research also provides scientific support to regional planning and management.

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“…For example, slope estimated from coarse resolution data can significantly underestimate the true slope of a region (Zhang et al 1999). However, the accuracy of topographic variables with resolutions of 1 km is acceptable to integrate the coarse spatial resolution satellite data (also see Dobos et al 2000) and analyze topographic effect on temperature, precipitation, and solar radiation (see Zeng et al 2005Zeng et al , 2009.…”

Section: Data Preparationmentioning

confidence: 99%

Application of geographically weighted regression in estimating the effect of climate and site conditions on vegetation distribution in Haihe Catchment, China

2010

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Climate and topography are the two key factors influencing vegetation pattern, distribution, and plant growth. Traditionally, studies on the relationship between vegetation and climate rely largely on field data from limited samples. Now, digital elevation model (DEM) and remote sensing data readily provide huge amounts of spatial data on site-specific conditions like elevation, aspect, and climate, while recent development of geographically weighted regression (GWR) analysis facilitates efficient spatial evaluation of interactions among vegetation and site conditions. Using Haihe Catchment as a case study, GWR is applied in establishing spatial relations among leaf area index (LAI; a critical vegetation index from Moderate Resolution Imaging Spectroradiometer (MODIS)) and interpolated climate variables and site conditions including elevation, aspect, and Topographic Wetness Index (TWI). This study suggests that the GWR solution to spatial effect of climate and site conditions on vegetation is much better than ordinary least squares (OLS). In most of the study area, effects of elevation, aspect change from south to north, and precipitation on LAI are positive, while temperature, TWI, and potential evapotranspiration have a negative influence. Spatially, models perform better in places with large spatial variations in LAI-primarily driven by strong spatial variations in temperature and precipitation. On the contrary, the effect of topographic and climatic factors on vegetation is weak in regions with small spatial variations in LAI. This study shows that overall water availability is a determining factor for spatial variations in vegetation.

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Distributed modeling of direct solar radiation on rugged terrain of the Yellow River Basin

Cited by 17 publications

References 15 publications

Estimation of Actual Evapotranspiration Distribution in the Huaihe River Upstream Basin Based on the Generalized Complementary Principle

Estimation of Actual Evapotranspiration Distribution in the Huaihe River Upstream Basin Based on the Generalized Complementary Principle

The spatiotemporal variation of reference evapotranspiration and the contribution of its climatic factors in the Loess Plateau, China

Application of geographically weighted regression in estimating the effect of climate and site conditions on vegetation distribution in Haihe Catchment, China

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