IRRIGATION SUBSURFACE RETURN FLOWS AND WATER USE IN LYSIMETERS CONTAINING APPLE TREES

1989 ◽  
Vol 69 (4) ◽  
pp. 769-778 ◽  
Author(s):  
D. S. STEVENSON
Keyword(s):  
Water Use ◽  
Summer Precipitation ◽  
Bare Soil ◽  
Winter Precipitation ◽  
Design Flow ◽  
Return Flow ◽  
Irrigation Season ◽  
Apple Trees ◽  
Flow Measurements ◽  
Return Flows

For 9 yr, subsurface return flow measurements from irrigated lysimeters containing "Macspur McIntosh" apple trees (Malus domestica Borkh.) on MM 111 rootstocks were collected. Water use with and without a grass cover crop was calculated as irrigation plus summer precipitation minus drainage. Drainages were consistently and significantly lower, and therefore water use higher, under grass than under bare soil but the differences were not large. The times of irrigation and drainage events were not closely linked. Drainage followed irrigation anywhere from a day to many days, stretching at times into weeks or months. By far the largest drainages, however, occurred during the irrigation season. Irrigation amounts provided most of the water for return flows with summer or winter precipitation contributing little to the drainage. At the higher irrigation levels the return flow quantities and calculated water use quantities clearly indicate that sprinkler design flow quantities are too high for the area and that improvements in irrigation efficiencies are possible. Key words: Drainage, irrigation, lysimeters, water use, apple trees

scholarly journals WATER RELATIONS OF SHRUB AND GROUNDCOVER LANDSCAPE COMMUNITIES

HortScience ◽  
1992 ◽  
Vol 27 (6) ◽  
pp. 640f-640
Author(s):  
Jayne M. Zajicek ◽  
Nowell J. Adams ◽  
Shelley A. McReynolds
Keyword(s):  
Water Use ◽  
Sap Flow ◽  
Cynodon Dactylon ◽  
Bare Soil ◽  
Quantitative Information ◽  
Primary Objective ◽  
Urban Landscapes ◽  
Flow Measurements ◽  
Community Water ◽  
Sap Flow Measurements

Landscape plantings have been designed traditionally using aesthetic criteria with minimal consideration given to water requirements. The primary objective of this research was to develop quantitative information on water use of plant communities conventionally used in urban landscapes. Pots of Photinia × Fraseri (photinia Fraseri), Lagerstroemia indica 'Carolina Beauty' (crape myrtle), or Ligustrum japonicum (wax leaf ligustrum) were transplanted from 3.8 l into 75.7 l pots with either Stenotaphrum secundatum 'Texas Common' (St. Augustinegrass), Cynodon dactylon × C. transvallensis 'Tiffway' (bermudagrass), Trachelospermum asiaticum (Asiatic jasmine), or left with bare soil. Whole community water use was measured gravimetrically. In addition, sap flow rates were recorded for shrub species with stem flow gauges. Sap flow measurements were correlated to whole community water use recorded during the same time intervals. Whole community water use differed due to the groundcover component; bermudagrass, Asiatic jasmine, and bare soil communities used less water than St. Augustinegrass communities. Differences were also noted in stomatal conductance and leaf water potential among the species.

Water use and sodium chloride uptake by apple trees

1978 ◽  
Vol 50 (1-3) ◽  
pp. 37-49 ◽  
Author(s):  
D. W. West
Keyword(s):  
Sodium Chloride ◽  
Water Use ◽  
Apple Trees ◽  
Chloride Uptake

scholarly journals INFLUÊNCIA DA COBERTURA MORTA NA EVAPOTRANSPIRAÇÃO, COEFICIENTE DE CULTIVO E EFICIÊNCIA DE USO DE ÁGUA DO MILHO CULTIVADO EM CERRADO

Irriga ◽  
2018 ◽  
Vol 21 (2) ◽  
pp. 352
Author(s):  
HIPÓLITO MURGA-ORRILLO ◽  
WELLINGTON FARIAS ARAUJO ◽  
CARLOS ABANTO RODRIGUEZ ◽  
RICARDO MANUEL BARDALES LOZANO ◽  
ROBERTO TADASHI SAKAZAKI ◽  
...  
Keyword(s):  
Zea Mays ◽  
Water Use Efficiency ◽  
Water Use ◽  
Water Consumption ◽  
Irrigation Management ◽  
Crop Coefficient ◽  
Ground Cover ◽  
Bare Soil ◽  
Crop Cycle ◽  
Use Efficiency

INFLUÊNCIA DA COBERTURA MORTA NA EVAPOTRANSPIRAÇÃO, COEFICIENTE DE CULTIVO E EFICIÊNCIA DE USO DE ÁGUA DO MILHO CULTIVADO EM CERRADO HIPÓLITO MURGA-ORRILLO1; WELLINGTON FARIAS ARAÚJO2; CARLOS ABANTO-RODRIGUEZ3; ROBERTO TADASHI SAKAZAKI4; RICARDO MANUEL BARDALES-LOZANO5 E ANA ROSA POLO-VARGAS6 1Engenheiro Agrônomo, Prof. Auxiliar, Universidad Nacional Autónoma de Chota, (UNACH), Jr. Gregorio Malca Nº 875- Campus Colpa Matara, Chota, Perú. [email protected] Agrônomo, Prof. Dr. Associado da UFRR/CCA, Boa Vista, RR. [email protected] Florestal, Investigador no Instituto de Investigaciones de la Amazonía Peruana, Carretera Federico Basadre, Km 12,400, Yarinacocha, Ucayali, Perú. [email protected] Agrônomo, Doutorando na UFRR/CCA, Boa Vista, RR. [email protected] Agrônomo, Doutorando na UFRR/Bionorte, Boa Vista, RR. [email protected] Agrônoma, Graduada na Universidad Nacional de Cajamarca, (UNC), Av. Atahualpa Nº 1050- Carretera Cajamarca-Baños del Inca, Cajamarca, Perú. [email protected]  1 RESUMOA irrigação consome grande quantidade de água, sendo importante um adequado manejo da cultura para minimizar esse consumo, maximizando a produção. No intuito de obter informações para o manejo da irrigação, objetivou-se com o presente trabalho determinar a evapotranspiração da cultura (ETc), o coeficiente de cultivo (Kc) e a eficiência do uso de água (EUAg) da cultura de milho, em solo com e sem cobertura, durante os diferentes estádios de desenvolvimento, utilizando lisímetros de drenagem. O experimento foi conduzido no campus Cauamé da Universidade Federal de Roraima, entre 19/04/2014 e 07/08/2014, em Boa Vista, RR. A evapotranspiração de referência (ETo) foi estimada pelo método de Penman-Monteith FAO. Os resultados da ETc do milho, durante o ciclo da cultura, em solo sem e com cobertura foram de 421,5 e 351,0 mm, respectivamente. As médias diárias de ETc foram de 4,1 mm dia-1 para solo sem cobertura e 3,4 mm dia-1 para solo com cobertura. A cobertura do solo propiciou valores diferentes de Kc's para o milho, nos mesmos estádios, em comparação aos Kc’s do solo descoberto. Para o solo descoberto, os Kc’s observados para os estádios fenológicos I, II, III, e IV, foram de 0,40; 0,84; 1,59 e 0,81, respectivamente. Já para solo com cobertura, os Kc’s pelos mesmos estádios em menção foram 0,28; 0,64; 1,49 e 0,48, respectivamente. A EUAg para solo com cobertura foi 1,77 kg m-3 e para solo sem cobertura foi 1,65 kg m-3. Estes resultados mostram que a cobertura morta no solo influenciou no consumo hídrico do milho durante todo seu ciclo. Palavras-chave: Zea mays. Irrigação. Solo coberto. Consumo hídrico.  MURGA-ORRILLO, H.; ARAÚJO, W. F.; ABANTO-RODRIGUEZ C.; SAKAZAKI, R. T.; BARDALES-LOZANO R. M.; POLO-VARGAS, A. R.MULCH INFLUENCE ON EVAPOTRANSPIRATION, CROP COEFFICIENT AND WATER USE EFFICIENCY OF CORN GROWN IN THE SAVANNAH   2 ABSTRACTIrrigation consumes large amounts of water, and minimizing consumption and maximizing the production are  important to a proper crop management . In order to obtain information for irrigation management, the aim of the present study was to determine evapotranspiration (ETc),  crop coefficient (Kc) and  water use efficiency (WUE) of maize grown in soil with and without cover, during the various stages of development, using drainage lysimeters. The experiment was conducted in Cauamé campus of the Federal University of Roraima, from 19/04/2014 to 08/07/2014, in Boa Vista, RR. The reference evapotranspiration (ETo) was estimated by the Penman-Monteith method. The results of the corn ETc during the crop cycle in soil with and without coverage were 421.5 and 351.0 mm, respectively. The daily average of ETc were 4.1 mm day-1 for bare soil and 3.4 mm day-1 for soil with cover. The ground cover led to different values of Kc's for corn in the same stages as compared to Kc's from the bare ground. For bare soil, the Kc's observed for the phenological stages I, II, III, and IV were 0.40; 0.84; 1.59 and 0.81, respectively. As for covered soil, the Kc's in the same stadiums mentioned were 0.28; 0.64; 1.49 and 0.48, respectively. The WUE to soil with cover was 1.77 kg m-3 and ground without cover was 1.65 kg m-3. These results show that  soil mulching influenceS maize water consumption throughout its cycle. Keywords: Zea mays. Irrigation. Ground covered. Water consumption.

scholarly journals Spatial Analysis of Seasonal Precipitation Using Various Interpolation Methods in the Euphrates Basin, Turkey

2021 ◽  
Author(s):  
Okan Mert Katipoğlu
Keyword(s):  
Spatial Distribution ◽  
Geographical Information Systems ◽  
Polynomial Interpolation ◽  
Estimation Method ◽  
Summer Precipitation ◽  
Winter Precipitation ◽  
Geographical Information ◽  
Seasonal Precipitation ◽  
Interpolation Methods

Abstract It is vital to accurately map the spatial distribution of precipitation, which is widely used in many fields such as hydrology, climatology, meteorology, ecology, and agriculture. In this study, it was aimed to reveal the spatial distribution of seasonal long-term average precipitation in the Euphrates Basin by using various interpolation methods. For this reason, Simple Kriging (SK), Ordinary Kriging (OK), Universal Kriging (UK), Ordinary CoKriging (OCK), Empirical Bayesian Kriging (EBK), Radial Basis Functions (Completely Regularized Spline (CRS), Thin Plate Spline (TPS), Multiquadratic, Inverse Multiquadratic (IM), Spline with Tensor (ST)), Local Polynomial Interpolation (LPI), Global Polynomial Interpolation (GPI), Inverse Distance Weighting (IDW) methods have been applied in the Geographical Information Systems (GIS) environment. Long-term seasonal precipitation averages between 1966 and 2017 are presented as input for the prediction of precipitation maps. The accuracy of the precipitation prediction maps created was based on root mean square error (RMSE) values obtained from the cross-validation tests. The method of precipitation by interpolation yielding the lowest RMSE was selected as the most appropriate method. As a result of the study, OCK in spring and winter precipitation, LPI in summer precipitation, and OK in autumn precipitation were determined as the most appropriate estimation method.

In-season crop classification using optical remote sensing with random forest over irrigated agricultural fields in Australia

2021 ◽  
Author(s):  
Zitian Gao ◽  
Danlu Guo ◽  
Dongryeol Ryu ◽  
Andrew Western
Keyword(s):  
Random Forest ◽  
Water Use ◽  
Landsat 8 ◽  
Irrigation Season ◽  
Yield Estimation ◽  
Cropping Season ◽  
Crop Type ◽  
Eastern Australia ◽  
Crop Classification ◽  
Type Classification

<p>Timely classification of crop types is critical for agronomic planning in water use and crop production. However, crop type mapping is typically undertaken only after the cropping season, which precludes its uses in later-season water use planning and yield estimation. This study aims 1) to understand how the accuracy of crop type classification changes within cropping season and 2) to suggest the earliest time that it is possible to achieve reliable crop classification. We focused on three main summer crops (corn/maize, cotton and rice) in the Coleambally Irrigation Area (CIA), a major irrigation district in south-eastern Australia consisting of over 4000 fields, for the period of 2013 to 2019. The summer irrigation season in the CIA is from mid-August to mid-May and most farms use surface irrigation to support the growth of summer crops. We developed models that combine satellite data and farmer-reported information for in-season crop type classification. Monthly-averaged Landsat spectral bands were used as input to Random Forest algorithm. We developed multiple models trained with data initially available at the start of the cropping season, then later using all the antecedent images up to different stages within the season. We evaluated the model performance and uncertainty using a two-fold cross validation by randomly choosing training vs. validation periods. Results show that the classification accuracy increases rapidly during the first three months followed by a marginal improvement afterwards. Crops can be classified with a User’s accuracy above 70% based on the first 2-3 months after the start of the season. Cotton and rice have higher in-season accuracy than corn/maize. The resulting crop maps can be used to support activities such as later-season system scale irrigation decision-making or yield estimation at a regional scale.</p><p>Keywords: Landsat 8 OLI, in-season, multi-year, crop type, Random Forest</p>

scholarly journals Precipitation Variations under a Changing Climate from 1961–2015 in the Source Region of the Indus River

Water ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1366
Author(s):  
Muhammad Rizwan ◽  
Xin Li ◽  
Kashif Jamal ◽  
Yingying Chen ◽  
Junaid Nawaz Chauhdary ◽  
...  
Keyword(s):  
Daily Precipitation ◽  
Source Region ◽  
Summer Precipitation ◽  
Heavy Precipitation ◽  
Winter Precipitation ◽  
Indus Basin ◽  
Indus River ◽  
Precipitation Characteristics ◽  
Daily Precipitation Data ◽  
Increasing Trends

The source region of the Indus River (SRIR), which is located in the Hindukush, Karakoram and Himalayan (HKH) mountainous range and on the Third Pole (TP), is very sensitive to climate change, especially precipitation changes, because of its multifarious orography and fragile ecosystem. Climate changes in the SRIR also have important impacts on social and economic development, as well as on the ecosystems of the downstream irrigation areas in Pakistan. This paper investigates the changes in precipitation characteristics by dividing the daily precipitation rate into different classes, such as light (0–10 mm), moderate (10.1–25 mm) and heavy precipitation (>25 mm). Daily precipitation data from gauging and non-gauging stations from 1961–2015 are used. The results of the analysis of the annual precipitation and rainy day trends show significant (p < 0.05) increases and decreases, respectively, while light and heavy precipitation show significant decreasing and increasing trends, respectively. The analysis of the precipitation characteristics shows that light precipitation has the highest number of rainy days compared to moderate or heavy precipitation. The analysis of the seasonal precipitation trends shows that only 18 stations have significant increasing trends in winter precipitation, while 27 stations have significant increasing trends in summer precipitation. Both short and long droughts exhibit increasing trends, which indicates that the Indus Basin will suffer from water shortages for agriculture. The results of this study could help policymakers cope with floods and droughts and sustain eco-environmental resources in the study area.

Lake Michigan Water Resources Study

2014 ◽  
Author(s):  
Chenguang Sheng ◽  
George Nnanna ◽  
Chandramouli Viswanathan
Keyword(s):  
Water Quality ◽  
Water Use ◽  
Quality Data ◽  
Return Flow ◽  
Water Quality Data ◽  
North West ◽  
Consumptive Use ◽  
Public Supply ◽  
Water Withdrawals ◽  
Use Categories

This paper contains an analysis of withdrawal data for North West Indiana to compute consumptive-use coefficients and to describe monthly variability of withdrawals and consumptive use. Concurrent data were available for most water-use categories from 1990 through 2008. Average monthly water withdrawals are discussed for a variety of water-use categories, and average water use per month is depicted graphically. Water quality analysis is presented and historic water quality data of Northwest Indiana, (Lake, Porter and LaPort Counties) were downloaded from USEPA website and they were examined for the trends in different water quality constituents. Individual station based analysis and regional analysis were conducted using MK Test. Water quality data indicated an improvement trend. Water withdrawals data were analyzed using regression and Artificial Neural Network (ANN) models. The ANN model performed a better forecasting while compared to a linear regression model. For most water-use categories, the summer months were those of highest withdrawal and highest consumptive use. For public supply, average monthly withdrawals ranged from 2,193 million gallons per day (Mgal/d) (February) to 3,092 Mgal/d (July). North West Indiana energy production had large increases in average monthly withdrawals in the summer months (17,551 Mgal/d in February to 26,236 Mgal/d in July, possibly because of increased electricity production in the summer, a need for additional cooling-water withdrawals when intake-water temperature is high, or use of different types of cooling methods during different times of the year. Average industrial withdrawals ranged from 31,553 Mgal/d (February) to 36,934 Mgal/d (August). The North West Indiana irrigation data showed that most withdrawals were in May through October for golf courses, nurseries, and crop irrigation. Miscellaneous water withdrawals ranged from 12.2 Mgal/d (January) to 416.3 Mgal/d (October), commercial facilities that have high water demand in Indiana are medical facilities, schools, amusement facilities, wildlife facilities, large stores, colleges, correctional institutions, and national security facilities. Consumptive use and consumptive-use coefficients were computed by two principal methods in this study: the return-flow and withdrawal method and the winter-base-rate method (WBR). The WBR method was not suitable for the industrial and miscellaneous water-use categories. The RW method was not used for public-supply facilities. The public-supply annual average consumptive-use coefficient derived by use of the WBR methods is 8 percent from 1990 to 2008 for North West Indiana; the summer average consumptive-use coefficient was considerably higher with the amount of 20 percent. The energy production annual consumptive-use coefficient was 13 percent by the WBR method, which increased to 28 percent for summer. In terms of maximum accuracy and minimal uncertainty, use of available withdrawal, return-flow, and consumptive-use data reported by facilities and data estimated from similar facilities are preferable over estimates based on data for a particular water-use category or groups of water-use categories. If monthly withdrawal, return flow, and consumptive use data are few and limited, monthly patterns described in this report may be used as a basis of estimation, but the level of uncertainty may be a greater than for the other estimation methods.

scholarly journals Estimating the Root Water Uptake of Surface-Irrigated Apples Using Water Stable Isotopes and the Hydrus-1D Model

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1624 ◽  
Author(s):  
Lijian Zheng ◽  
Juanjuan Ma ◽  
Xihuan Sun ◽  
Xianghong Guo ◽  
Qiyun Cheng ◽  
...  
Keyword(s):  
Stable Isotopes ◽  
Water Use Efficiency ◽  
Water Use ◽  
Water Uptake ◽  
Root Water Uptake ◽  
Surface Irrigation ◽  
Apple Trees ◽  
1D Model ◽  
Use Efficiency ◽  
Hydrus 1D

The future production of irrigated fruit orchards in the Loess Plateau of China is threatened by a shortage of freshwater. To improve water use efficiency under conditions where irrigation is limited, it is necessary to quantify the root water uptake (RWU) of apple trees. The RWU of apple trees was estimated under surface irrigation using water stable isotope technology and the Hydrus-1D model. Using the Romero-Saltos and IsoSource models, the stable isotopes of water in stems, different soil depths, and different precipitation were analyzed in a 5-year-old dwarfing apple orchard during two seasons 2016 and 2017. Hydrus-1D model was able to simulate the RWU of apple using the maximum coefficient of determination (0.9), providing a root mean square error of 0.019 cm3 cm−3 and a relative error of 2.25%. The results showed that the main depth of RWU ranged from 0–60 cm during the growth season, with the main contribution occurring in the 0–40 cm depth. These findings indicated that reducing the traditional surface irrigation depth will be important for improving the irrigation water use efficiency.

scholarly journals Extracting household water use event characteristics from rudimentary data

2020 ◽  
Vol 69 (4) ◽  
pp. 387-397 ◽  
Author(s):  
Bettina Elizabeth Meyer ◽  
Heinz Erasmus Jacobs ◽  
Adeshola Ilemobade
Keyword(s):  
High Resolution ◽  
Water Use ◽  
Service Providers ◽  
Flow Measurements ◽  
High Resolution Data ◽  
High Resource ◽  
Smart Water ◽  
Household Water ◽  
End Use ◽  
End Uses

Abstract Household water end-uses have been extracted from high-resolution smart water meter data in various earlier studies. However, research on end-use disaggregation from rudimentary data is limited. Rudimentary data is defined as data recorded in intervals longer than 1 min, or data recorded with resolutions larger than 0.1 L/pulse. Developing countries typically deal with rudimentary data, due to the high cost and high resource investment associated with high-resolution data. The aim of this study was to extract useful event characteristics from rudimentary data, without identifying the actual end-uses per se. A case study was conducted in the City of Johannesburg, South Africa, where 63 homes were equipped with iPERL smart water meters. The meters recorded flow measurements every 15 s at a 1 L/pulse resolution, rendering the recorded data rudimentary. A total of 1,107,547 event pulses were extracted over the 217-day study period. Although the method presented is limited in the sense that water use events cannot be identified, the method allows for disaggregation of event pulses in the presence of rudimentary data. Using this tool, it is possible to lift valuable information from rudimentary data that would subsequently benefit service providers in setting water demand strategies.

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