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The simple network-based measuring system for improving the evaporation estimation


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Allen, R.G., Pereira, L., Raes, D., Smith, M., 1998. Crop evapotranspiration -Guidelines for computing crop water requirements - FAO. Irrigation and drainage paper, 56, United Nation - Food and Agriculture organisation.Search in Google Scholar

Cabrera, M., Anache, J., Youlton, C., Wendland, E., 2016. Performance of evaporation estimation methods compared with standard 20 m2 tank. Rev. Bras. Eng. AgríCola Ambient, 20, 874.Search in Google Scholar

Djaman, K., Balde, A., Sow, A., Muller, B., Irmak, S., N’Diaye, M., Manneh, B., Moukoumbi, Y.D., Futakuchi, K., Saito, K., 2015. Evaluation of sixteen reference evapotranspiration methods under sahelian conditions in the Senegal River Valley. Journal of Hydrology: Regional Studies, 3, 139–159.Search in Google Scholar

Dlouhá, D., Dubovský, V., Pospíšil, L., 2021. Optimal Calibration of Evaporation Models against Penman–Monteith Equation. Water, 13(11), DOI: 10.3390/w13111484.Search in Google Scholar

Dlouhá, D., Dubovský, V., Pospíšil, L., 2021. The Evaporation Estimation on Lake Most. MAPE, 4(1), 221-231, DOI: 10.2478/mape-2021-0020.Search in Google Scholar

Dlouhá, D., Dubovský, V., 2021. Specification of the Climate Character in the Study Area of Projected Hydric Reclamation. Inżynieria Mineralna, 47(1), 75-79, DOI: 10.29227/IM-2021-01-10.Search in Google Scholar

Dubovský, V., Dlouhá, D., Jarošová, M., 2022. On the Influence of the Measurement Inaccuracy on the E_FAO Evaporation Estimates (in the Area of the Lake Most). AIP Conference Proceedings, DOI: 10.1063/5.0081483.Search in Google Scholar

Gavilán, P., Berengena, J., Allen, R.G., 2007. Measuring versus estimating net radiation and soil heat flux: Impact on Penman–Monteith reference ET estimates in semiarid regions. Agricultural Water Management, 89, 275–286. Search in Google Scholar

Gay, D.M., 1990. Usage summary for selected optimization routines. Computing Science Technical Report No. 153, 1–21. Search in Google Scholar

Grebski, W., Grebski, M., 2022. Project of Micro-hydroelectric Power Generation, System – Case study. Production Engineering Archives, 28(2), 178-184, DOI: 10.30657/pea.2022.28.21. Search in Google Scholar

Hargreaves, G., 1975. Moisture Availability and Crop Production. Transactions of the ASAE, 18, 0980–0984. DOI: 10.13031/2013.36722. Search in Google Scholar

Hargreaves, G., Samani, Z., 1985. Reference Crop Evapotranspiration From Temperature. Applied Engineering in Agriculture, 1. DOI: 10.13031/2013.26773.Search in Google Scholar

Jabloun, M., Sahli, A., 2008. Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: Application to Tunisia. Agricultural Water Management, 95, 707–715.Search in Google Scholar

Kowol, D., Kurama, H., 2020. Recovery of Fine Coal Grains from Post-Mining Wastes with Use of Autogenous Suspending Bed Technology. Management Systems in Production Engineering, 28(4), 220-227, DOI: 10.2478/mspe-2020-0032.Search in Google Scholar

Lang, D., Jiangkun, Z., Shi, J., Liao, F., Ma, X., Wang, W., Chen, X., Zhang, M., 2017. A Comparative Study of Potential Evapotranspiration Estimation by Eight Methods with FAO Penman–Monteith Method in Southwestern China. Water, 9, 734.Search in Google Scholar

Linacre, E.T., 1993. Data-sparse estimation of lake evaporation, using a simplified Penman equation. Agricultural and Forest Meteorology, 64, 237 – 256, DOI: 10.1016/0168-1923(93)90031-C.Search in Google Scholar

Lovelli, S., Pizza, S., Caponio, T., Rivelli, A., Perniola, M., 2005. Lysimetric determination of muskmelon crop coefficients cultivated under plastic mulches. Agricultural Water Management, 72, 147–159.Search in Google Scholar

Mohawesh, O., 2011. Evaluation of evapotranspiration models for estimating daily reference evapotranspiration in arid and semiarid environments. Plant Soil Environ, 57, 145–152.Search in Google Scholar

Moriasi, D., Arnold, J., Van Liew, M., Bingner, R., Harmel, R., Veith, T.L., 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50, 885–900.Search in Google Scholar

Mostafa, A., Benzaghta, M. Benzaghta, A., Mohammed, A., Ekhmaj, A., 2012. Prediction of Evaporation from Algardabiya Reservoir. Libyan Agriculture Research Center Journal International, 3, 120–128.Search in Google Scholar

R Core Team. R., 2013. A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.Search in Google Scholar

Stone, M., 1974. Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society: Series B (Methodological), 36, 111–147.Search in Google Scholar

Trenberth, K.E., Fasullo, J.T., Mackaro, J., 2011. Atmospheric Moisture Transports from Ocean to Land and Global Energy Flows in Reanalyses. Journal of Climate, 24, 4907–4924, DOI: 10.1175/2011JCLI4171.1. Search in Google Scholar

Yao, H., 2009. Long-Term Study of Lake Evaporation and Evaluation of Seven Estimation Methods: Results from Dickie Lake, South-Central Ontario, Canada. Journal Water Resource and Protection, 2, 59–77, DOI: 10.4236/jwarp.2009.12010.Search in Google Scholar