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Bajirao, Tarate Suryakant
- Estimation of Reference Evapotranspiration for Parbhani District
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Authors
Affiliations
1 Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar (Uttarakhand), IN
2 Department of Irrigation and Drainage Engineering, College of Agricultural Engineering and Technology, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani (M.S.), IN
1 Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar (Uttarakhand), IN
2 Department of Irrigation and Drainage Engineering, College of Agricultural Engineering and Technology, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani (M.S.), IN
Source
International Journal of Agricultural Engineering, Vol 10, No 1 (2017), Pagination: 51-54Abstract
Estimation of reference evapotranspiration (ETo) is essential for planning the irrigation water use in arid and semiarid region. Estimation of reference evapotranspiration (ETo) is an important part of agricultural water management in local and regional water balance studies. At the field scale, estimation of reference evapotranspiration (ETo) is important in irrigation planning and scheduling and is an integral part of field management decision support tools. This study focuses on estimating the reference evapotranspiration (ETo) using 32 years meteorological data by CROPWAT software. The FAO-56 Penman-Monteith method has been recommended as the standard method for estimating reference evapotranspiration (ETo) was used.Keywords
Evapotranspiration, CROPWAT, Agricultural Water Management.
References
- Allen, R.G., Pereira, L.S., Raes, D. and Smith, M. (1998). Crop evapotranspiration – Guidelines for computing crop water requirements. Irrig. Drain. Paper 56, Food andAgriculture Organization of the United Nations (FAO), ROME, ITALY.
- Bandyopadhyay, A., Bhadra, A., Swarnakar, R.K., Raghuwanshi, N.S. and Singh R. (2009). Estimation of reference evapotranspiration using a user-friendly decision support system: DSS ET. Agric. & Forest Meteorol., 154–155 (2012) : 19– 29.
- Banik, Pritha, Tiwari, N.K. and Ranjan, Subodh (2014). Comparative crop water assessment using cropwat. Proc. of the Intl. Conf. on Advances in Engineering and Technology - ICAET-2014.
- Doorenbos, J. and Pruitt, W.O. (1977). Guidelines for predicting crop water requirements. Irrig. Drain. Paper 24, 2nd ed. Food and Agriculture Organization of the United Nations (FAO), ROME, ITALY.
- Jabloun, M. and Sahli, A. (2008). Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data Application to Tunisia. Agric. Water Mgmt., 95 : 707 – 715.
- Jensen, M.E., Burman, R.D. and Allen, R.G. (1990). Evapotranspiration and irrigation water requirements. Manual and Reports on Engineering Practice No. 70, New York, ASCE.
- Milan, Gocic and Slavisa, Trajkovic (2010). Software for estimating reference evapotranspiration using limited weather data. Computers & Electronics Agric., 71 : 158–162.
- Singh, Ramesh, Sham, H.C. and Kuma, Ambrish (2008). Neuro-Fuzzy modelling of reference evapo-transpiration. J. Agric. Engg., 45(4) .
- Smith, M., Allen, R.G., Pereira, L.S. and Raes, D. (1998). Crop evapotranspiration. FA0 Irrigation and Drainage Paper 56, FAO, ROME, ITALY.
- Zhan, Z. and Feng, Z. (2003). Estimation of land surface evapotranspiration in the western Chinese Loess plateau using remote sensing. In: Int. Geoscience and Remote Sensing Symp. (IGARSS), 4, pp. 2959–2961.
- Development of Growth-Stage-Specific Crop Co-Efficient for Different Crops of Parbhani District
Abstract Views :200 |
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Authors
Affiliations
1 Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar (Uttarakhand), IN
2 Department of Irrigation and Drainage Engineering, College of Agricultural Engineering and Technology, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani (M.S.), IN
1 Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar (Uttarakhand), IN
2 Department of Irrigation and Drainage Engineering, College of Agricultural Engineering and Technology, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani (M.S.), IN
Source
International Journal of Agricultural Engineering, Vol 10, No 1 (2017), Pagination: 114-117Abstract
A study was carried out to develop crop wise crop co-efficient (Kc) of different crops for Parbhani district of Maharashtra state. The development of regionally based and growth-stage-specific crop co-efficients (Kc) helps in irrigation management and provides precise water applications for this region. Crop wise crop co-efficient of each of the crop was determined by using 32 years climatic data. The crop co-efficients were determined by following the detail procedure given in FAO 56. The result shows that amongst the various crops grown in the study area some of the values corresponded and some did not correspond to those from FAO-56. Hence, there is strongest need of development of crop wise crop co-efficient of different crops in order to determine crop water requirement.Keywords
Crop Water Requirement, Climatic Data, Crop Co-Efficients.References
- Allen, R.G., Pereira, L.S., Raes, D. and Smith, M. (1998). Crop evapotranspiration – Guidelines for computing crop water requirements. Irrig. Drain. Paper 56, Food andAgriculture Organization of the United Nations (FAO), Rome, Italy.
- Angela, Anda, Jaime, A., Teixeira, da Silva and Gabor, Soos (2014). Evapotranspiration and crop coefficient of common reed at the surroundings of Lake Balaton, Hungary. Aquatic Bot., 116: 53–59.
- Bandyopadhyay, A., Bhadra, A., Swarnakar, R.K., Raghuwanshi, N.S. and Singh, R. (2009). Estimation of reference evapotranspiration using a user-friendly decision support system: DSS ET. Agric. & Forest Meteorol., 154–155 (2012) : 19–29
- Burman, R.D., Wright, J.L., Nixon, P.R. and Hill, R.W. (1980a). Irrigation management-water requirements and water balance. In: Irrigation, Challenges of the 80’s, Proc. of the Second National Irrigation Symposium, Am. Soc. Agric. Engr, St. Joseph, MI, pp. 141–153.
- Burman, R.D., Nixon, P.R., Wright, J.L. and Pruitt, W.O. (1980b). Water requirements. In: Jensen, M.E. (Ed.), Design of farm irrigation systems, ASAE Mono., Am. Soc. Agric. Eng., St. Joseph, MI, pp. 189–232.
- Doorenbos, J. and Pruitt, W.O. (1975). Guidelines for predicting crop water requirements. Irrig. And Drain. Paper No. 24, Food Agric. Org., United Nations, Rome, Italy. 168 pp.
- Doorenbos, J. and Pruitt, W.O. (1977). Guidelines for predicting crop water requirements. Irrig. Drain. Paper 24, 2nd ed. Food and Agriculture Organization of the United Nations (FAO), Rome, Italy.
- Jensen, M.E., Burman, R.D. and Allen, R.G. (1990). Evaporation and irrigation water requirements. ASCE manuals and reports on eng. practices No. 70, Am. Soc. Civil Eng., New York, NY, 360 pp.
- JonghanKo, Giovanni, Piccinni, Thomas, Marek and Terry, Howell (2009). Determination of growth-stage-specific crop coefficients (Kc) of cotton and wheat. Agric. Water Manage., 96 : 1691–1697.
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- Yanjun, Shen, Shuo, Li ,Yaning, Chen, Yongqing, Qi and Shuowei, Zhang (2013). Estimation of regional irrigation water requirement and water supply risk in the arid region of Northwestern China 1989–2010. Agric. Water Mgmt., 128 (2013) : 55– 64.
- Zhan, Z. and Feng, Z. (2003). Estimation of land surface evapotranspiration in the western Chinese Loess plateau using remote sensing. In: Int. Geoscience and Remote Sensing Symp. (IGARSS), 4, pp. 2959–2961.
- Assessment of Meteorological Drought for Parbhani District of Maharashtra, India
Abstract Views :199 |
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Authors
Affiliations
1 Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar (Uttarakhand), IN
1 Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar (Uttarakhand), IN
Source
International Journal of Agricultural Engineering, Vol 10, No 2 (2017), Pagination: 260-267Abstract
A study was carried out to estimate the drought occurrences for rainfed area of Parbhani district of Maharashtra, India. Rainfall plays an important role during crop growth in rainfed agriculture system. Rainfall data of 32 years (1983 - 2014) have been analyzed on annual, seasonal, monthly and weekly basis to find out drought occurrences at Parbhani. The drought analysis indicated that during the study duration the drought, normal and wet years were found to be 9.37, 68.75 and 21.87 per cent, respectively. The occurrences of drought, normal and wet seasons were 7.29, 73.95 and 18.75 per cent, respectively. The percentage of drought, normal and wet months were observed to be 48.43, 38.80 and 12.76 per cent, respectively while drought, normal and wet weeks were observed with a frequency of 70.07, 16.28 and 13.64 per cent, respectively. The research revealed that 9 years showed moderate drought intensity, 9 years showed mild drought intensity while the remaining 14 years observed with no drought condition. No severe or extreme drought was observed during this study duration. The mean value, standard deviation and coefficient of variation of annual rainfall were found to be 947.5 mm, 312.3 mm and 32.96 %, respectively. The analysis also indicated the need of assured irrigation during late winter and summer season.Keywords
Rainfall Analysis, Meteorological Drought, Drought Year.References
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- Land Surface Temperature Estimation Using Split Window Approach over US Nagar District of Uttarakhand State, India
Abstract Views :178 |
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Authors
Affiliations
1 Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar (Uttarakhand), IN
2 Department of Soil and Water Conservation Engineering, Gobind Ballabh Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar (Uttarakhand), IN
1 Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar (Uttarakhand), IN
2 Department of Soil and Water Conservation Engineering, Gobind Ballabh Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar (Uttarakhand), IN
Source
International Journal of Agricultural Engineering, Vol 10, No 2 (2017), Pagination: 354-359Abstract
To estimate land surface temperature (LST) has an important role for agriculture as well as global change of climate, growth of vegetation and glacier melting. It combines the results of all surface atmosphere interactions and energy fluxes between the surface and the atmosphere. Now-a-days, estimation of temperature of land surface is being calculated with the help of satellite images containing thermal infrared band. Though land surface temperature derived from satellite, could be a beneficial complement to conventional land surface temperature data sources. This research, proposed a methodology for determining land surface temperature through using a structured mathematical algorithm viz., split window (SW) algorithm. Split window algorithm has been used on LANDSAT 8 with operational land imager i.e. OLI sensor and thermal infrared sensor i.e. TIRS dataset of Udham Singh Nagar district. TIRS shows two thermal bands i.e. band 10 and band 11. SW approach requires brightness temperature value of both band 10 and band 11 as well as land surface emissivity which is calculated from OLI bands i.e. NIR and Red, for the estimation of land surface temperature. The spectral radiance was determined using thermal infrared bands i.e. band 10 and band 11. Emissivity was calculated by using normalized difference vegetation index i.e. NDVI threshold technique for which OLI bands 2, 3, 4 and 5 were utilized. SW approach uses brightness temperature of two bands of thermal infrared, mean and difference in land surface emissivity for estimating land surface temperature. In this paper, 6 Dec. 2015 date was selected as an example to show the approach of using SW technique to estimate the LST of Udham Singh Nagar district of Uttarakhand state in India.Keywords
Split Window Approach, Fractional Vegetation Cover, Land Surface Emissivity, Land Surface Temperature.References
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