scholarly journals ANALISIS KEBUTUHAN AIR IRIGASI MENGGUNAKAN METODE CROPWAT VERSION 8.0

2019 ◽  
Vol 10 (2) ◽  
pp. 61-68
Author(s):  
Hanan Shalsabillah ◽  
Khairul Amri ◽  
Gusta Gunawan
Keyword(s):  
Irrigation Water ◽  
Water Requirement ◽  
Effective Rainfall ◽  
Climate Data ◽  
Irrigation Water Requirement ◽  
Irrigation Requirement ◽  
Water Requirements ◽  
Value Prediction ◽  
Irrigation Area ◽  
Reference Plant

The Irrigation Area of Air Nipis is located in Regency of South Bengkulu at Bengkulu Province with irrigation area 3.116 Ha. Planning and management of irrigation systems is one of the important steps to determine the irrigation water requirement as a whole. The purpose of this research is aim to analyze the water requirement to get value prediction of minimum and maximum irrigation water requirement in irrigation area of Air Nipis using the CROPWAT Version 8.0 method. Irrigation water requirements obtained from CROPWAT Version 8.0 are based on climate data, soil data and plants.The parameters that were reference plant evapotranspiration, effective rainfall, soil treatment, soil data, and plants. The results of the research showed that the maximum irrigation requirement for calculation using CROPWAT 8.0 software occurred in the first 10 days of December (14,49 m3/sec), while the minimum irrigation water requirements for CROPWAT 8.0 occurs in mid to end March (0,04 m3/sec).

Research Dry Crop and Irrigation Water Requirement in Environment Engineering

2013 ◽  
Vol 340 ◽  
pp. 961-965
Author(s):  
Xin Hua Wang ◽  
Mei Hua Guo ◽  
Hui Mei Liu
Keyword(s):  
Irrigation Water ◽  
Growth Period ◽  
Water Requirement ◽  
Weather Data ◽  
Effective Rainfall ◽  
Crop Water ◽  
Irrigation Water Requirement ◽  
Water Requirements ◽  
Crop Water Requirements ◽  
Irrigation Water Use

According to Kunming 1980-2010 monthly weather data and CROPWAT software and the corresponding crop data, crop water requirements and irrigation water use are calculated. By frequency analysis, irrigation water requirement was get for different guaranteed rate. The results show that: corn, potatoes, tobacco, and soybeans average crop water requirements were 390.7mm, 447.9mm, 361.8mm and 328.4mm, crop water dispersion coefficient is small, period effective rainfall during crop growth in most of the year can meet the crop water requirements, so irrigation water demand is small. While the multi-year average crop water requirements were 400.8mm, 353.5mm, 394.3mm for small spring crops of wheat, beans, rape. Because the effective rainfall for these crops during growth period is relative less, crop irrigation water requirements for small spring crop is much. Vegetables and flowers are plant around the year, so the crop water and irrigation water requirements are the largest.

scholarly journals Analisis Kebutuhan Air Irigasi Menggunakan CROPWAT 8.0 pada Daerah Irigasi Krueng Jreu Kabupaten Aceh Besar

2020 ◽  
Vol 4 (4) ◽  
pp. 412-421
Author(s):  
Mahendra Rizqi ◽  
Muhammad Yasar Yasar ◽  
Dewi Sri Jayanti
Keyword(s):  
Irrigation Water ◽  
Food Production ◽  
Rice Paddy ◽  
Irrigation Water Requirement ◽  
Water Requirements ◽  
Cropping Patterns ◽  
Irrigation Area ◽  
Land Preparation ◽  
Increase Food Production ◽  
Manual Calculation

Abstrak. Salah satu usaha peningkatan produksi pangan khususnya padi adalah tersedianya air irigasi di areal sawah sesuai dengan kebutuhan. Kebutuhan air yang diperlukan  pada areal irigasi besarnya bervariasi sesuai keadaan untuk memenuhi kebutuhan evapotranspirasi, kehilangan air, kebutuhan air untuk tanaman dengan memperhatikan jumlah air yang diberikan oleh alam melalui hujan dan kontribusi air tanah. Pengaplikasian CROPWAT 8.0 ini sangat membantu dalam pengelolaan data sehingga menghasilkan data yang dapat digunakan. Tujuan penelitian ini adalah untuk menghitung kebutuhan air irigasi pada Daerah Irigasi Krueng Jreu dengan menggunakan software CROPWAT 8.0. Metode penelitian adalah menentukan parameter, pengumpulan data dan pengolahan data.  Data yang digunakan dalam penelitian ini adalah data luas areal yang dialiri, data-data untuk menghitung evapotranspirasi meliputi temperatur, kelembaban relatif, kecepatan angin, lama penyinaran matahari, curah hujan, pola dan jadwal tanam yang dianjurkan di daerah penelitian. Hasil penelitian yang telah dilakukan diperoleh  Nilai evapotranspirasi potensial (ET0)  rata-rata  di Daerah Irigasi Krueng Jreu adalah sebesar 3,75 mm/hari, curah hujan efektif (Re) rata-rata di Daerah Irigasi Krueng Jreu adalah sebesar 3,09 mm/hari, kebutuhan air untuk penyiapan lahan adalah sebesar 11,35 mm/hari untuk Bulan November dan sebesar 11,71 mm/hari untuk Bulan Mei, kebutuhan bersih air di sawah (NFR) untuk padi rendeng dan padi gadu yaitu sebesar  11,22 mm/hari dan 25,34 mm/hari, dan kebutuhan air pada pintu pengambilan (DR) untuk padi rendeng dan padi gadu yaitu sebesar 17,27 mm/hari dan 38,98 mm/hari. Kebutuhan air irigasi di Darah Irigasi Krueng Jreu dengan total luas area sebesar 3.287 ha dengan kebutuhan air irigasi pola tanam padi-padi yang dimulai awal pengolahan lahan pada awal Bulan November maka didapatkan kebutuhan air irigasi maksimal yaitu terjadi pada Bulan Juli dengan perhitungan CROPWAT yaitu sebesar 14,9 m3/detik dan untuk perhitungan manual yaitu sebesar 6,26 m3/detik. Kebutuhan air irigasi minimum yaitu terjadi pada Bulan Desember dengan perhitungan CROPWAT yaitu sebesar 0,00 m3/detik dan perhitungan manual yaitu sebesar 0,45 m3/detik.Analysis of Irrigation Water Requirement Using CROPWAT 8.0 in Krueng Jreu Irrigation Area  of Aceh Besar RegencyAbstract. One of the efforts to increase food production, especially rice, is the availability of irrigation water in paddy fields according to their needs. The required water needs in the area of irrigation varies according the State needs for evapotranspiration, water loss, water needs for plants with attention to the amount of water given by nature through the rain and the contribution of groundwater. The application of  Cropwat 8.0 is very helpful in managing data so as to produce data that can be used. The purpose of this study was to calculate irrigation water requirements in the Krueng Jreu Irrigation Area using Cropwat 8.0 software. The research method is determining parameters, data collection and data processing. The data used in this study is the data area that is flowed, the data for calculating evapotranspiration include: temperature, relative humidity, wind speed, duration of solar radiation, rainfall, patterns, and planting schedules recommended in the study area. Based on the results of the research that has been carried out, it can be concluded as follows: the average evapotranspiration value (ET0) in the Krueng Jreu Irrigation Area is 3,75 mm/day, the effective rainfall (Re) in the Krueng Jreu Irrigation Area is amounting to 3,09 mm/day, water requirements for land preparation of 11,35 mm/day in November and 11,71 mm/day in Mei, clean water requirements in rice fields (NFR) for rendeng rice and gadu rice which amounted to 11,22 mm/day and 25,34 mm/day, and water requirements on the retrieval gate (DR) for rendeng rice and gadu rice were equal to 17,27 mm/day and 38,98 mm/day. Irrigation water needs in Krueng Jreu Irrigation Blood with a total area of 3.287 ha with irrigation water requirements for rice-paddy cropping patterns that were started at the beginning of land processing at the beginning of November the maximum irrigation water needs were obtained in July with  Cropwat calculations that is equal to 14,9 m3/second and for manual calculations amounting to 6,26 m3/sec. For minimum irrigation water needs, that occurs in December with a Cropwat calculation is 0,00 m3/second and manual calculation of 0,45 m3/sec.

Effects of soil- and climate data aggregation on simulated potato yield and irrigation water requirement

2020 ◽  
Vol 710 ◽  
pp. 135589 ◽  
Author(s):  
Jonathan J. Ojeda ◽  
Ehsan Eyshi Rezaei ◽  
Tomas A. Remenyi ◽  
Mathew A. Webb ◽  
Heidi A. Webber ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Data Aggregation ◽  
Potato Yield ◽  
Water Requirement ◽  
Climate Data ◽  
Irrigation Water Requirement

scholarly journals Reduction of predictive uncertainty in estimating irrigation water requirement through multi-model ensembles and ensemble averaging

2015 ◽  
Vol 8 (4) ◽  
pp. 1233-1244 ◽  
Author(s):  
S. Multsch ◽  
J.-F. Exbrayat ◽  
M. Kirby ◽  
N. R. Viney ◽  
H.-G. Frede ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Model Uncertainty ◽  
Parametric Uncertainty ◽  
Crop Coefficient ◽  
Water Requirement ◽  
Irrigation Water Requirement ◽  
Ensemble Averaging ◽  
Water Requirements ◽  
Crop Coefficients ◽  
Model Parametric Uncertainty

Abstract. Irrigation agriculture plays an increasingly important role in food supply. Many evapotranspiration models are used today to estimate the water demand for irrigation. They consider different stages of crop growth by empirical crop coefficients to adapt evapotranspiration throughout the vegetation period. We investigate the importance of the model structural versus model parametric uncertainty for irrigation simulations by considering six evapotranspiration models and five crop coefficient sets to estimate irrigation water requirements for growing wheat in the Murray–Darling Basin, Australia. The study is carried out using the spatial decision support system SPARE:WATER. We find that structural model uncertainty among reference ET is far more important than model parametric uncertainty introduced by crop coefficients. These crop coefficients are used to estimate irrigation water requirement following the single crop coefficient approach. Using the reliability ensemble averaging (REA) technique, we are able to reduce the overall predictive model uncertainty by more than 10%. The exceedance probability curve of irrigation water requirements shows that a certain threshold, e.g. an irrigation water limit due to water right of 400 mm, would be less frequently exceeded in case of the REA ensemble average (45%) in comparison to the equally weighted ensemble average (66%). We conclude that multi-model ensemble predictions and sophisticated model averaging techniques are helpful in predicting irrigation demand and provide relevant information for decision making.

Transplanting date adjustment in Boro rice cultivation as a strategy to reduce groundwater withdrawal in Bangladesh

2019 ◽  
Vol 8 (3) ◽  
Author(s):  
Md. Hossain Ali
Keyword(s):  
Irrigation Water ◽  
Field Experiments ◽  
Water Requirement ◽  
Rice Cultivation ◽  
Groundwater Withdrawal ◽  
General Tendency ◽  
Rice Cultivars ◽  
Irrigation Water Requirement ◽  
Irrigation Requirement ◽  
Boro Rice

Due to intensive irrigated rice cultivation during dry season, declining trend of groundwater level is observed in many parts of Bangladesh. Field experiments were conducted in 2015 and 2016 at four experimental stations of Bangladesh Institute of Nuclear Agriculture, Bangladesh to evaluate the performance of some Boro rice cultivars in different planting dates with respect to yield and irrigation water requirement, and to optimize between yield and irrigation water requirement, with a view to reduce groundwater withdrawal and hence reducing mining of groundwater. The transplanting dates were 21th January (T1), 15th February (T2), 7th March and 30th March.  Four rice cultivars were used. The results showed that the rice growth period was shortened with the later dates of transplanting. Generally, the yield of all cultivars at first and second transplanting (i.e. in T1 & T2) are good, and decrease at the later transplanting dates (T3, T4) and hence could not be recommended among farmers. When we consider the irrigation savings in T2 compare to T1, the irrigation savings varies with location and year, but the general tendency is that the second transplanting can save irrigation water. By considering economic (intrusion of additional rabi crop between two rice crops) and ecological factor (irrigation reduction, and hence reducing groundwater withdrawal), we recommend that the most suitable transplanting time for Boro rice should be 15th February. As such, we can effectively achieve good yield, reduce irrigation requirement, and creating opportunity for possible intrusion of addition Rabi crop between two rice crops. Overall, the findings of the present study can provide effective transplanting time and cultivar to reduce groundwater withdrawal in the present agro-ecosystem of northwestern Bangladesh and other similar areas.Keywords:  Boro rice, irrigation requirement, transplanting date, groundwater withdrawal, ecosystem

scholarly journals Prediction of Rice Water Requirement Using FAO-CROPWAT Model in North Iran under Future Climate Change

2016 ◽  
Author(s):  
Javad Gilanipour ◽  
Bahram Gholizadeh
Keyword(s):  
Irrigation Water ◽  
Meteorological Data ◽  
Crop Coefficient ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Future Climate Change ◽  
Crop Water ◽  
Irrigation Water Requirement ◽  
Water Requirements ◽  
Rice Water

In this paper, Rice water requirement and irrigation water requirement in Amol agro meteorological Station in 2016-2045 are forecasted based on the projected meteorological data of Hadcm3 under A2 scenario. Rice water requirements are estimated by using crop coefficient approach. Reference evapotranspiration are calculated by FAO Penman-Monteith method. Moreover, the irrigation water requirements are simulated by calibrated CROPWAT model using the meteorological parameters. The results show that both crop water requirement and irrigation water requirement present downward trend in the future. In 2016-2045, the rice water requirement and irrigation water requirement decrease by more than 9.9% under A2 scenario, respectively. Furthermore, the precipitation rise may be the main reason for the decrease in crop water requirement, while significant decrease of irrigation water requirement should be attributed to combined action of rising precipitation and a slight increase in temperature.

scholarly journals Reduction of predictive uncertainty in estimating irrigation water requirement through multi-model ensembles and ensemble averaging

2014 ◽  
Vol 7 (6) ◽  
pp. 7525-7558
Author(s):  
S. Multsch ◽  
J.-F. Exbrayat ◽  
M. Kirby ◽  
N. R. Viney ◽  
H.-G. Frede ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Model Uncertainty ◽  
Parametric Uncertainty ◽  
Water Requirement ◽  
Ensemble Average ◽  
Irrigation Water Requirement ◽  
Ensemble Averaging ◽  
Water Requirements ◽  
Probability Curve ◽  
Model Parametric Uncertainty

Abstract. Irrigation agriculture plays an increasingly important role in food supply. Many evapotranspiration models are used today to estimate the water demand for irrigation. They consider different stages of crop growth by empirical crop coefficients to adapt evapotranspiration throughout the vegetation period. We investigate the importance of the model structural vs. model parametric uncertainty for irrigation simulations by considering six evapotranspiration models and five crop coefficient sets to estimate irrigation water requirements for growing wheat in the Murray-Darling Basin, Australia. The study is carried out using the spatial decision support system SPARE:WATER. We find that structural model uncertainty is far more important than model parametric uncertainty to estimate irrigation water requirement. Using the Reliability Ensemble Averaging (REA) technique, we are able to reduce the overall predictive model uncertainty by more than 10%. The exceedance probability curve of irrigation water requirements shows that a certain threshold, e.g. an irrigation water limit due to water right of 400 mm, would be less frequently exceeded in case of the REA ensemble average (45%) in comparison to the equally weighted ensemble average (66%). We conclude that multi-model ensemble predictions and sophisticated model averaging techniques are helpful in predicting irrigation demand and provide relevant information for decision making.

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