Open Access
Calculation of intercepted photosynthetically active radiation (IPAR) for traditional crops in Castilla y León, Spain
(Universidad Carlos III, 2022) Garrachón-Gómez, Elena; García Ruiz, Ignacio; García-Rodríguez, Ana; García-Rodríguez, Sol; Alonso-Tristán, Cristina; Ingeniería; Ingeniaritza; Institute of Smart Cities - ISC
Agriculture is one of the most important economic activities in the Castilla y León region (Spain), approximately one-third of the land area is destined for this use. The role of agriculture in rural areas is essential from a territorial perspective, where rural depopulation is originating a crisis in the countryside. Moreover, climate change is having a major impact on agricultural productivity as a consequence, among others, of the increase in the frequency and the severity of extreme events, especially in Mediterranean regions [1]. For these reasons, it is essential to highlight the vision of agriculture as a multifunctional activity. Besides good management, productivity depends on many other factors, such as soil properties or climatic factors. A decisive climatic variable, which is often not considered in the planning and management of the crops, is the Photosynthetically Active Radiation (PAR), specifically, the Intercepted Photosynthetically Active Radiation (IPAR). The main purpose of this study is to calculate and represent an estimation of IPAR values for the most characteristic crops of Castilla y León.
Open Access
Ultraviolet erythemal irradiance (UVER) under different sky conditions in Burgos, Spain: multilinear regression and artificial neural network models
(MDPI, 2023) García-Rodríguez, Sol; García-Rodríguez, Ana; Granados-López, D.; García Ruiz, Ignacio; Alonso-Tristán, Cristina; Ingeniería; Ingeniaritza; Institute of Smart Cities - ISC
Different strategies for modeling Global Horizontal UltraViolet Erythemal irradiance (GHUVE) based on meteorological parameters measured in Burgos (Spain) have been developed. The experimental campaign ran from September 2020 to June 2022. The selection of relevant variables for modeling was based on Pearson’s correlation coefficient. Multilinear Regression Model (MLR) and artificial neural network (ANN) techniques were employed to model GHUVE under different sky conditions (all skies, overcast, intermediate, and clear skies), classified according to the CIE standard on a 10 min basis. ANN models of GHUVE outperform those based on MLR according to the traditional statistical indices used in this study (R2, MBE, and nRMSE). Moreover, the work proposes a simple all-sky ANN model of GHUVE based on usually recorded variables at ground meteorological stations.
Open Access
Solar ultraviolet irradiance characterization under all sky conditions in Burgos, Spain
(MDPI, 2022) García-Rodríguez, Sol; García Ruiz, Ignacio; García-Rodríguez, Ana; Díez-Mediavilla, Montserrat; Alonso-Tristán, Cristina; Ingeniaritza; Institute of Smart Cities - ISC; Ingeniería
Solar Ultraviolet Radiation (UVR), which is identified as a major environmental health hazard, is responsible for a variety of photochemical reactions with direct effects on urban and aquatic ecosystems, human health, plant growth, and the deterioration of industrial systems. Ground measurements of total solar UVR are scarce, with low spatial and temporal coverage around the world, which is mainly due to measurement equipment maintenance costs and the complexities of equipment calibration routines; however, models designed to estimate ultraviolet rays from global radiation measurements are frequently used alternatives. In an experimental campaign in Burgos, Spain, between September 2020 and June 2022, average values of the ratio between horizontal global ultraviolet irradiance (GHUV) and global horizontal irradiance (GHI) were determined, based on measurements at ten-minute intervals. Sky cloudiness was the most influential factor in the ratio, more so than any daily, monthly, or seasonal pattern. Both the CIE standard sky classification and the clearness index were used to characterize the cloudiness conditions of homogeneous skies. Overcast sky types presented the highest values of the ratio, whereas the clear sky categories presented the lowest and most dispersed values, regardless of the criteria used for sky classification. The main conclusion, for practical purposes, was that the ratio between GHUV and GHI can be used to model GHUV.
Open Access
Monthly intercepted photosynthetically active radiation estimation based on the Beer-Lambert's law across the cereal crops of Castilla y León (Spain)
(Elsevier, 2024) Garrachón-Gómez, Elena; García Ruiz, Ignacio; García-Rodríguez, Ana; García-Rodríguez, Sol; Alonso-Tristán, Cristina; Ingeniería; Ingeniaritza; Institute of Smart Cities - ISC
Agriculture is by far the most important economic activity in the Spanish autonomous region of Castilla y León. Numerous factors influence crop development but one of the most related variables to the photosynthetic process is Photosynthetically Active Radiation (PAR). Estimating Intercepted Photosynthetically Active Radiation (IPAR) in different crops through the Beer-Lambert law could be a relevant factor in crop season planning by enabling photosynthesis monitoring. The Beer-Lambert Law is applied in this study to the data for almost 2 million hectares of wheat, barley, and maize cultivated in Castilla y León in 2021. The fourteen-year data set of Global Horizontal Irradiance (GHI) used to calculate the monthly PAR data in the region was collected at 93 meteorological stations (46 in Castilla y León and 47 in neighboring Spanish and Portuguese regions). Two previously published global calibrated models were employed to calculate the PAR, with a relative Root Mean Square Error (rRMSE) below 6%, for the measured daily mean values of PAR in Burgos. Processing the various NASA Terra and Aqua satellite images yielded the monthly Leaf Area Index (LAI) and the literature review provided the light extinction coefficient (k). The Geographic Information System (GIS) facilitated visualization of IPAR estimates for the three cereal crops in all months of its growing season. Wheat and barley reach their IPAR peaks in June and July, while maize peaks in July and August. In addition, the fraction of Intercepted Photosynthetically Active Radiation (fIPAR) was calculated in different provinces to assess PAR interception for each cereal at different growing stages. In June, almost 50% of the wheat area in Burgos, Palencia and Soria displayed fIPAR values exceeding 45% while in the case of barley only the province of Burgos reached these percentages of area and fIPAR.

García Ruiz, Ignacio

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