Evaporation loss can be accurately calculated using established meteorological formulas.
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Multiple peer-reviewed scientific studies demonstrate that evaporation and evapotranspiration losses can be reliably and accurately estimated or calculated using established meteorological formulas and standard equations such as the Penman-Monteith method and water-balance models.
Abstract: Today, due to water use and facing the world with problems such as water deficit and drought, short-term and long-term consumption management and planning is essential to achieve the goals set for water resources. The lack of data lysimeter measurements to estimate water requirements of plants is one of the biggest challenges that exist in the agricultural sector. On the other hand, using new methods to more accurately estimate the actual evapotranspiration and consequently, vegetation coefficient for different plants, especially the dominant cultivation in the plains of the country, can help better planning and management of water resources. In this study, using MODIS images and SEBAL algorithm, evapotranspiration for Marvast in Yazd province in four months (February, May, August ,November) 2017 was estimated. Maximum evapotranspiration the same time with the heating season is August and the plant occurred chlorophyll maximum amount of which is 582 mm. Then, with decreasing plant density, the evapotranspiration trend was reduced, which was the minimum evapotranspiration in February. Extraction of grapevine coefficient by FAO method showed that its amount was satisfied in May (1.23) and August (1.14).Due to the high rate of evapotranspiration and heat in these two months, the plant's need for water has been greater. Vegetation rates in the fall (November 0.25) and winter (February 29/09) were lower than during the growing season due to reduced leaf cover and reduced
IntroductionThe constructive effects of green spaces on the quality and livability of the urban environment have been reported in many studies. Therefore, using methods that can accurately estimate the evaporation of transpiration in green space can help to reduce water loss. The purpose of estimating water demand for urban green space is also different from the purpose of determining water demand for an agricultural farm. In urban green space, the goal is to maintain good growth, appearance and acceptable plant health, while biomass production is the main goal on agricultural farms. Therefore, urban green space can typically be managed using an irrigation area that is less than the amount of water needed to produce agricultural products. Due to the limited water resources in arid areas, the use of less irrigation in urban green space can be desirable to save water consumption.Materials and MethodsThe Wucols method for estimating Water requirements in green space was developed by Castello et al. (4). They developed the Wucols water taxonomy guidelines for planting green space in California. The Wucols method estimates evapotranspiration in green space using reference evapotranspiration and a set of coefficients (Species factor, density factor and microclimate factor). PF method is the minimum acceptable irrigation for green space plants that emphasizes maintaining the beauty of the plant. In this method, the water required by green space plants is considered as a percentage o
The propagation of electromagnetic waves beyond the line of sight can be caused by atmospheric ducts, which are significant concerns in the fields of radar and communication. This paper utilizes data from seven automatic weather stations and five radio-sounding stations to statistically analyze the characteristics of the atmospheric ducts in the northwest region of the South China Sea (SCS). After verifying the practicality of numerical analysis data from NCEP CFSv2 and ECMWF in studying atmospheric ducts using measured data, we analyzed the spatial–temporal distribution characteristics of the height of the regional evaporation duct and the bottom height of the elevated duct. The study found that the NCEP CFSv2 data accurately capture the evaporation duct height and duct occurrence rate in the study area, and the elevated duct bottom height calculated from ERA5 and the measured data have good consistency. The occurrence rate and height of the evaporation duct in coastal stations in the northwest of the SCS vary significantly by month, demonstrating clear monthly distribution patterns; conversely, changes in the Xisha station are minimal, indicating good temporal uniformity. For lower atmospheric ducts, the difference in occurrence rates between 00:00 and 12:00 (UTC) is negligible. The occurrence probability of elevated ducts in the Beibu Gulf area is relatively high, mainly concentrated from January to April, and the Xisha area is dominated by surface ducts without foundation
Abstract The management of small intermittently open or closed estuaries (ICOLLs) requires the prediction of lake water levels and the probability of breaching of the entrance barrier in real time, seasonally, and long term. The water balance is a key tool that in turn requires prediction of the open water evaporation. The drivers of the water balance of two ICOLLs on the south-east coast of Australia were studied: The two ICOLLs, Durras Lake and Lake Wollumboola, have very different morphologies: Durras Lake is a drowned stream valley with a largely steep, forested catchment, while Lake Wollumboola is a back-dune lagoon ICOLL with a wider, shallow water body. For these small estuaries, hydrologic and geomorphic data are generally limited or unavailable; hence, methods were developed to use data routinely available, primarily from government agencies, without using regionally averaged or “text book” parameter values. For both lakes, evaporation was shown to be on average larger than either of the inflows from the catchment or from the direct rainfall on the lakes; thus, evaporation must be reliably predicted for use in the water balance. The calculated evaporation agreed with widely used but data-intensive formulas. For each ICOLL a robust linear correlation of lake evaporation with the incident solar radiation accounted for 94% of the variance in the evaporation. The seasonal variation of evaporation fitted a cosine curve, again accounting for 94% of the variance of the evap
Hulun Lake is the largest lake in northeastern China, and its basin is located in China and Mongolia. This research aims to analyze the dynamic changes in the water volume of Hulun Lake and to estimate the groundwater recharge of the lake during the past 60 years. Multi-source data were used, and water-level-data-interpolation extrapolation, water-balance equations, and other methods were applied. The proportion of the contribution of each component to the quantity of water in Hulun Lake during the last 60 years was accurately calculated. Evaporation loss was the main component in the water loss in Hulun Lake. In the last 60 years, the average annual runoff into the lake was about 1.202 billion m3, and it was the factor with the largest variation range and the leading factor affecting the changes in the quantity of water in Hulun Lake. There was groundwater recharge in Hulun Lake for a long period, and the average annual groundwater recharge was about 776 million m3 (excluding leakage). The contribution ratio of the river water, groundwater, and precipitation to the recharging of Hulun Lake was about 5:3:2. The changes in the quantity of water in Hulun Lake are affected by climate change and human activities in China and Mongolia, especially those in Mongolia.
Abstract A simple technique to determine evaporation and seepage losses of agricultural water storages is described. Evaporation is calculated from automatic weather station (AWS) variables using the Penman–Monteith equation, and seepage is determined as the difference between this and accurate water depth measurements made using a pressure sensitive transducer (PST). The accuracy of the PST devices (±1 mm) was far greater than any flow metering equipment available, so analysis only took place when there was no pumping in and out of the dam. Calibration tests were carried out during the summer of 2004/2005 at a dam site where seepage was very close to zero, as total evaporation plus seepage loss over the winter months there was independently determined to be less than 1 mm/day. Summertime PST depth traces were compared to the Penman 1948 equation, Penman–Monteith (PM) ET 0 calculated according to the FAO56 method and Penman–Monteith (PM) with surface resistance set to zero to simulate a open water surface. The first two produced the best correlations (within 10% agreement with the water depth trace), but PM open water over predicted by 40%. This technique has provided a useful tool to more accurately apportion total water loss into evaporation and seepage components. Similar to the evapotranspiration of different crop types, it is suggested that that the evaporation of open water can be similarly related to the international standard FAO56 PM via a simple dam factor.
IntroductionThe constructive effects of green spaces on the quality and livability of the urban environment have been reported in many studies. Therefore, using methods that can accurately estimate the evaporation of transpiration in green space can help to reduce water loss. The purpose of estimating water demand for urban green space is also different from the purpose of determining water demand for an agricultural farm. In urban green space, the goal is to maintain good growth, appearance and acceptable plant health, while biomass production is the main goal on agricultural farms. Therefore, urban green space can typically be managed using an irrigation area that is less than the amount of water needed to produce agricultural products. Due to the limited water resources in arid areas, the use of less irrigation in urban green space can be desirable to save water consumption.Materials and MethodsThe Wucols method for estimating Water requirements in green space was developed by Castello et al. (4). They developed the Wucols water taxonomy guidelines for planting green space in California. The Wucols method estimates evapotranspiration in green space using reference evapotranspiration and a set of coefficients (Species factor, density factor and microclimate factor). PF method is the minimum acceptable irrigation for green space plants that emphasizes maintaining the beauty of the plant. In this method, the water required by green space plants is considered as a percentage o
There is a need for an accurate method to calculate and to measure crop water use on real‐time. We implemented a system that combines knowledge of crop water use and available technology to control the timely application of water. Our objective was to test the system and compare it to the empirical engineering approach that uses a crop coefficient to relate crop water use to a reference evapotranspiration. Technologies involved are the measurement of plant water use with stem flow gauges, of soil water with time domain reflectometry, and weather variables. Measurements are coupled with calculated values of crop water use obtained with the model ENWATBAL. A single computer controls all functions, for example, measurements, model execution, activation of water delivery system. The system was tested for a 2‐yr period with cotton ( Gossypium hirsutum L.) in Lubbock, TX, using surface drip irrigation. Field experiments were conducted on an Olton clay loam (fine, mixed, superactive, thermic Aridic Paleustolls). Comparison of measured and calculated values of crop transpiration and soil water evaporation were in close agreement. Simulated results indicated that for a 3‐d frequency irrigation with small quantities of water the engineering approach lacks the resolution to accurately calculate daily requirements of cotton under the semiarid conditions of the Texas High Plains (THP). This is particularly true early in the growing season when predominant evaporative losses are from the s
Floods are known as one of the world’s most frequent and devastating events. Techniques to predict and estimate the size of floods is depend on the availability of hydrological data. Using the conceptual of lump model, rainfall-runoff method is widely used in design flood estimation, which represents the input of rainfall and catchment characteristics such as rainfall depth, rainfall intensity, baseflow and losses. 7o calculate the catchments runoff, amount of losses shall be determine accurately by considering various source of the rainfall losses such as evaporation, inßltration, interception, depression storage and loss in groundwater recharge. In Malaysia, the common technique to estimate the hydrological losses is using initial and constant loss method. Furthermore, the value has been used in Urban Stormwater Manual for Malaysia (USMA) are adopted from the other literatures which is not represented the value from local catchment.7he objective of this study is to derive the initial and constant loss values using the data from selected local catchments in west Peninsular Malaysia. 7he calculated initial and constant loss will be further used to derive design flood discharge based on the design rainfall. An initial loss and constant loss model was examined in this study to observe the loss rate parameters in heterogeneous catchments and evaluate their signißcance as well as their potential influence on design peak floods. 7he study has been utilised the rainfall and runoff
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