Your search found 19 records
1 Panda, R. K.; Srivastava, R. C. 1997. Evaluation and standardisation of sprinkler irrigation technology for field and vegetable crops in uplands. In Water Technology Centre for Eastern Region, WTCER annual report 1996 - 97. Bhubaneswar, India: WTCER. pp.95-100.
Sprinkler irrigation ; Evaluation ; Irrigation efficiency ; Vegetables ; Soil moisture ; Crop yield ; Furrow irrigation / India
(Location: IWMI-HQ Call no: 631.7.1 G635 WAT Record No: H022007)
2 Jain, L. L.; Panda, R. K.; Sharma, C. P. 1997. Water stress response function for groundnut (Arachis hypogaea L.) Agricultural Water Management, 32(2):197-209.
Groundnuts ; Plant growth ; Water stress ; Crop production ; Irrigation scheduling ; Water use efficiency
(Location: IWMI-HQ Call no: PER Record No: H020441)
3 Sudheer, K. P.; Panda, R. K.. 2000. Digital image processing for determining drop sizes from irrigation spray nozzles. Agricultural Water Management, 45(2):159-167.
(Location: IWMI-HQ Call no: PER Record No: H026115)
4 Panda, R. K.. 2000. Integrated solution for coastal waterlogged paddy fields for increase in agricultural productivity. ICID Journal, 49(3):55-65.
Waterlogging ; Catchment areas ; Water resources development ; Paddy fields ; Rice ; Fish farming / India / Orissa
(Location: IWMI-HQ Call no: PER Record No: H026575)
5 Home, P. G.; Kar, S.; Panda, R. K.. 2000. Effect of irrigation scheduling on water and nitrogen balances in the crop root zone. Journal of Applied Irrigation Science, 35(2):223-235.
Irrigation efficiency ; Irrigation scheduling ; Percolation ; Leaching ; Water balance ; Nitrogen ; Fertilizers ; Soil water ; Monitoring
(Location: IWMI-HQ Call no: PER Record No: H027798)
6 Kashyap, P. S.; Panda, R. K.. 2001. Evaluation of evapotranspiration estimation methods and development of crop-coefficients for potato crop in a sub-humid region. Agricultural Water Management, 50(1):9-25.
Evapotranspiration ; Evaluation ; Lysimetry ; Potatoes ; Water requirements ; Measurement ; Irrigation requirements ; Soil moisture ; Soil water / India
(Location: IWMI-HQ Call no: PER Record No: H028395)
7 Mathew, E. K.; Panda, R. K.; Nair, M. 2001. Influence of subsurface drainage on crop production and soil quality in a low-lying acid sulphate soil. Agricultural Water Management, 47(3):191-209.
(Location: IWMI-HQ Call no: PER Record No: H028986)
8 Home, P. G.; Panda, R. K.; Kar, S. 2002. Effect of method and scheduling of irrigation on water and nitrogen use efficiencies of Okra (Abelmoschus esculentus) Agricultural Water Management, 55(2):159-170.
Irrigation scheduling ; Percolation ; Leaching ; Nitrogen ; Vegetables ; Crop yield ; Sprinkler irrigation ; Furrow irrigation ; Basin irrigation ; Soil moisture ; Evapotranspiration ; Water use efficiency / India / Kharagpur
(Location: IWMI-HQ Call no: PER Record No: H029804)
9 Nayak, R. C.; Panda, R. K.. 2001. Integrated management of a canal command in a river delta using multi-objective techniques. Water Resources Management, 15(6):383-401.
Irrigation canals ; Water allocation ; Decision making ; Groundwater ; Farming systems / India / Mahanadi Delta / Orissa
(Location: IWMI-HQ Call no: PER Record No: H030185)
10 Kashyap, P. S.; Panda, R. K.. 2003. Effect of irrigation scheduling on potato crop parameters under water stressed conditions. Agricultural Water Management, 59(1):49-66.
(Location: IWMI-HQ Call no: PER Record No: H031523)
11 Panda, R. K.; Kumar, P.; Kashyap, P. S. 2003. Effective management of irrigation water in Sub-humid region using PNUTGRO model. Journal of Applied Irrigation Science, 38(1):41-55.
Irrigation management ; Simulation models ; Soil water ; Water stress ; Evapotranspiration ; Crop production ; Sensitivity analysis / India / Kharagpur
(Location: IWMI-HQ Call no: PER Record No: H031853)
12 Panda, R. K.; Behera, S. K.; Kashyap, P. S. 2003. Effective management of irrigation water for wheat under stressed conditions. Agricultural Water Management, 63(1):37-56.
Irrigation efficiency ; Soil moisture ; Simulation models ; Water use efficiency ; Wheat ; Irrigation scheduling ; Soil water ; Infiltration ; Runoff / India
(Location: IWMI-HQ Call no: PER Record No: H033104)
13 Panda, R. K.; Rajput, T. B. S. 2004. A water budget technique for the design of open drainage systems. Irrigation and Drainage, 53(4):449-460.
Water budget ; Surface drainage ; Design ; Rice ; Evapotranspiration ; Runoff / India / Orissa / Mahanadi Delta
(Location: IWMI-HQ Call no: PER Record No: H036095)
14 Panda, R. K.; Behera, S. K.; Kashyap, P. S. 2004. Effective management of irrigation water for maize under stressed conditions. Agricultural Water Management, 66(3):181-203.
Maize ; Simulation models ; Irrigation scheduling ; Water stress ; Soil moisture ; Soil water ; Water balance ; Water use efficiency / India
(Location: IWMI-HQ Call no: PER Record No: H034447)
15 Gore, K. P.; Panda, R. K.. 2013. Water harvesting and recycling in the eastern Ghats Region of India. In Palanisami, Kuppannan; Sharda, V. N.; Singh, D. V. (Eds.). Water management in the hill regions: evidence from field studies. [Outcome of the IWMI and ICAR Workshop organized by IWMI-TATA Water Policy Research Program]. New Delhi, India: Bloomsbury Publishing India. pp.58-71.
Water resources ; Water use ; Water harvesting ; Recycling ; Rain ; Crop production ; Irrigation methods ; Impact assessment / India / Andhra Pradesh / Eastern Ghats
(Location: IWMI HQ Call no: 333.91 G635 PAL Record No: H045728)
16 Halder, D.; Panda, R. K.; Srivastava, R. K.; Kheroar, S.; Singh, S. P. 2016. Stochastic analysis of rainfall and its application in appropriate planning and management for Eastern India agriculture. Water Policy, 18:1155-1173.
Agricultural planning ; Stochastic processes ; Rain ; Water resources ; Water management ; Rainwater ; Water harvesting ; Monsoon climate ; Supplemental irrigation ; Dry spells ; Crop management / eastern India
(Location: IWMI HQ Call no: e-copy only Record No: H047932)
Rainfall analysis is essential for agricultural crop planning and water resources management, especially under water scarcity conditions. The 36 years (1977–2013) of rainfall data for Kharagpur were analyzed for characterization of different seasonal events. The Weibull's formula predicted the probability of mean onset on 23rd standard meteorological weeks (SMW) (3rd–9th June) and withdrawal on 43rd SMW (21st–27th October). There was 80–83% probability of a wet week [P(W)] occurring within 25th–35th SMW. The first order Markov chain process shows the conditional probability of one wet week preceded by another wet week [P(W/W)] varied between 0 and 86%; whereas, dry week preceded by another dry week [P(D/D)] varied in the range of 70 to 100%. The stochastic analysis of successive wet or dry weeks formulates the adaptation strategies to avoid the possible effect of wet or dry spell during cropping seasons. The wet spell analysis suggests rainwater harvesting to control soil erosion and maximization of water use efficiency. The probability of getting consecutive wet [P(W/W)] and dry days [P(D/D)] were varied in the range of 40%–70% and 50%–90%, respectively. The probability of getting different magnitude of rainfall (10 to 40 mm) during the monsoon weeks (25th–39th week) were found to be more than 50% probability level, which suggest for harvesting of excess runoff water for future supplemental irrigation.
17 Amarasinghe, Upali A.; Sikka, Alok; Mandave, Vidya; Panda, R. K.; Gorantiwar, S.; Chandrasekharan, Kiran; Ambast, S. K. 2021. A re-look at canal irrigation system performance: a pilot study of the Sina Irrigation System in Maharashtra, India. Water Policy, 23(1):114-129. [doi: https://doi.org/10.2166/wp.2020.291]
Irrigation systems ; Irrigation canals ; Water use efficiency ; Water productivity ; Performance evaluation ; Water scarcity ; Water supply ; Groundwater irrigation ; Water potential ; Reservoir storage ; Cropping patterns ; Irrigated sites ; Land use ; Estimation ; Satellite observation ; Economic aspects / India / Maharashtra / Sina Irrigation System
(Location: IWMI HQ Call no: e-copy only Record No: H050175)
(0.48 MB)
The general perception of canal irrigation systems in India is one of built infrastructure with low service performance. This paper presents an analytical framework, applied to the Sina medium irrigation system in Maharashtra state of India, to study the performance of an expanded water influence zone (WIZ) including a buffer zone outside the canal command area (CCA) influenced by the irrigation system’s water resources. The framework used satellite-based estimates of land-use and cropping patterns. The results indicate that there is hardly any gap between the irrigation potential created (IPC) and the irrigation potential utilized (IPU) in the CCA. The fraction of consumptive water use (CWU) of irrigation is low in the CCA, but almost one in the WIZ, due to the reuse of return flows in the WIZ. Future investments should focus on increasing economic water productivity ($/m3 ) in order to enhance the resilience of the farming community in the WIZ, which is frequently affected by water scarcity.
18 Amarasinghe, Upali A.; Sikka, Alok; Mandave, Vidya; Panda, R. K.; Gorantiwar, S.; Ambast, S. K. 2021. Improving economic water productivity to enhance resilience in canal irrigation systems: a pilot study of the Sina Irrigation System in Maharashtra, India. Water Policy, 23(2):447-465. [doi: https://doi.org/10.2166/wp.2021.231]
Water productivity ; Economic analysis ; Irrigation systems ; Canals ; Resilience ; Cropping patterns ; Water allocation ; Groundwater irrigation ; Groundwater recharge ; Water costs ; Benefit-cost ratio ; Water use ; Drought tolerance ; Water scarcity ; Rain ; Monsoons ; Reservoir storage / India / Maharashtra / Sina Irrigation System
(Location: IWMI HQ Call no: e-copy only Record No: H050317)
https://iwaponline.com/wp/article-pdf/23/2/447/879066/023020447.pdf
https://vlibrary.iwmi.org/pdf/H050317.pdf
https://vlibrary.iwmi.org/pdf/H050317.pdf
(0.40 MB) (411 KB)
This paper proposes scenarios to achieve more crop per drop and irrigation for all in water-scarce irrigation systems, with a particular reference to India. It uses economic water productivity (EWP) and water cost curve for EWP as tools to reallocate irrigation consumptive water use (CWU) and identify economically viable cropping patterns. Assessed in the water-scarce Sina irrigation system in Maharashtra, India, the method shows that drought-tolerant annual crops such as fruits and/or fodder should be the preferred option in irrigated cropping patterns. Cropping patterns with orchard or fodder as permanent fixtures will provide sustainable income in low rainfall years. Orchards in combination with other crops will increase EWP and value of output in moderate to good rainfall years. Governments should create an enabling environment for conjunctive water use and allocation of CWU to achieve a gradual shift to high-value annual/perennial crops as permanent fixtures in cropping patterns.
19 Jena, S.; Panda, R. K.; Ramadas, M.; Mohanty, B. P.; Samantaray, A. K.; Pattanaik, S. K. 2021. Characterization of groundwater variability using hydrological, geological, and climatic factors in data-scarce tropical savanna region of India. Journal of Hydrology: Regional Studies, 37:100887. [doi: https://doi.org/10.1016/j.ejrh.2021.100887]
Groundwater ; Hydrogeology ; Climatic factors ; Land use ; Land cover ; Savannas ; Aquifers ; River basins ; Rain ; Geomorphology ; Topography / India / Odisha
(Location: IWMI HQ Call no: e-copy only Record No: H050697)
https://www.sciencedirect.com/science/article/pii/S2214581821001166/pdfft?md5=5803ba8adba3ab6a18c6c2bf86c59a78&pid=1-s2.0-S2214581821001166-main.pdf
https://vlibrary.iwmi.org/pdf/H050697.pdf
https://vlibrary.iwmi.org/pdf/H050697.pdf
(12.60 MB) (12.6 MB)
Study Region: State of Odisha, a data-scarce tropical savanna region in eastern India.
Study Focus: This study evaluated the temporal variability in depth to groundwater (DTW) in the study region with heavily stressed aquifers during 1995–2015 using the modified Mann Kendall test. Subsequently, Shannon’s entropy assessed spatial variability in DTW and determined the dominant Hydrological, Geological, and Climatological (HGC) factor regulating the observed spatio-temporal variability taking land use/ land cover (LULC), geomorphology, lithology, topography, and rainfall as HGC factors.
New Hydrological Insights: The overall and seasonal trend analysis revealed that the study region possessed both rising and declining trends with a slightly higher percentage of wells with a rising trend. The spatial distribution of trends and the associated magnitude accentuated the unforeseen groundwater temporal variability and higher-order susceptibility of DTW to rising and declining trends. The marginal entropy revealed the higher-order spatial variability associated with deeper DTW and vice versa. Evaluation of the HGC factors revealed that LULC could explain the maximum variability in the DTW as a dominant HGC factor. It was found that the impact of LULC features on DTW variability is not straightforward, necessitating impact assessment studies in the location with significant to highly significant trends. This formulated approach can immensely contribute to the planning and management in attaining groundwater sustainability in data-scarce regions.
Study Focus: This study evaluated the temporal variability in depth to groundwater (DTW) in the study region with heavily stressed aquifers during 1995–2015 using the modified Mann Kendall test. Subsequently, Shannon’s entropy assessed spatial variability in DTW and determined the dominant Hydrological, Geological, and Climatological (HGC) factor regulating the observed spatio-temporal variability taking land use/ land cover (LULC), geomorphology, lithology, topography, and rainfall as HGC factors.
New Hydrological Insights: The overall and seasonal trend analysis revealed that the study region possessed both rising and declining trends with a slightly higher percentage of wells with a rising trend. The spatial distribution of trends and the associated magnitude accentuated the unforeseen groundwater temporal variability and higher-order susceptibility of DTW to rising and declining trends. The marginal entropy revealed the higher-order spatial variability associated with deeper DTW and vice versa. Evaluation of the HGC factors revealed that LULC could explain the maximum variability in the DTW as a dominant HGC factor. It was found that the impact of LULC features on DTW variability is not straightforward, necessitating impact assessment studies in the location with significant to highly significant trends. This formulated approach can immensely contribute to the planning and management in attaining groundwater sustainability in data-scarce regions.
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