Abstract
In this study, a regional irrigation schedule optimization method was proposed and applied in Fengqiu County in the North China Plain, which often suffers serious soil water drainage and nitrogen (N) leaching problems caused by excessive irrigation. The irrigation scheduling method was established by integrating the ‘checkbook irrigation method’ into a GIS-coupled soil water and nitrogen management model (WNMM) as an extension. The soil water and crop information required by the checkbook method, and previously collected from field observations, was estimated by the WNMM. By replacing manually observed data with simulated data from WNMM, the application range of the checkbook method could be extended from field scale to regional scale. The WNMM and the checkbook irrigation method were both validated by field experiments in the study region. The irrigation experiment in fluvo–aquic soil showed that the checkbook method had excellent performance; soil water drainage and N leaching were reduced by 83.1 and 85.6%, respectively, when compared with local farmers’ flood irrigation. Using the validated WNMM, the performance of checkbook irrigation in an entire winter wheat and summer maize rotation was also validated: the average soil water drainage and N leaching in four types of soils decreased from 331 to 75 mm year−1 and 47.7 to 9.3 kg ha−1 year−1, respectively; and average irrigation water use efficiency increased from 26.5 to 57.2 kg ha−1 mm−1. The regional irrigation schedule optimization method based on WNMM was applied in Fengqiu County. The results showed a good effect on saving irrigation water, decreasing soil water drainage and then saving agricultural inputs. In a typical meteorological year, it could save >110 mm of irrigation water on average, translating to >7.26 × 107 m3 of agricultural water saved each year within the county. Annual soil water drainage was reduced to <143 mm and N leaching to <27 kg ha−1 in most soils, all of which were significantly lower than local farmers’ flood irrigation. In the mean time, crop yield also had an average increase of 2,890 kg ha−1 when checkbook irrigation was applied.
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References
Almasri MN, Kaluarachchi JJ (2007) Modeling nitrate contamination of groundwater in agricultural watersheds. J Hydrol 343:211–229
Arnold JG, Williams JR, Nicks AD, Sammons NB (1990) SWRRB: a basin scale simulation model for soil and water resources management. Texas A & M University Press, College Station
Balland V, Pollacco JAP, Arp PA (2008) Modeling soil hydraulic properties for a wide range of soil conditions. Ecol Model 219:300–316
Beasley DB, Huggins LF, Monke EJ (1990) ANSWERS—a model for watershed planning. T ASAE 23(4):938–944
Bharati L, Rodgers C, Erdenberger T, Plotnikova M, Shumilov S, Vlek P, Martin N (2008) Integration of economic and hydrologic models: exploring conjunctive irrigation water use strategies in the Volta Basin. Agr Water Manag 95:925–936
Cai J, Liu Y, Lei T, Pereira LS (2007) Estimating reference evapotranspiration with the FAO Penman–Monteith equation using daily weather forecast messages. Agr Forest Meteorol 145:22–35
Cameira MR, Fernando RM, Ahuja LR, Ma L (2007) Using RZWQM to simulate the fate of nitrogen in field soil–crop environment in the Mediterranean region. Agr Water Manage 90:121–136
Chirico GB, Medina H, Romano N (2007) Uncertainty in predicting soil hydraulic properties at the hillslope scale with indirect methods. J Hydrol 334:405–422
Chopart JL, Mezino M, Aure F, Le Mezo L, Mete M, Vauclin M (2007) OSIRI: a simple decision-making tool for monitoring irrigation of small farms in heterogeneous environments. Agr Water Manage 87:128–138
Chowdary VM, Rao NH, Sarma PBS (2005) Decision support framework for assessment of non-point-source pollution of groundwater in large irrigation projects. Agr Water Manage 75:194–225
Christensen NB (2005) Irrigation management using soil moisture monitors, vol 6. Western Nutrient Management Conference, Salt Lake City, UT. pp 46–53
Dawes WR, Hatton TJ (1993) TOPOG_IRM: model description. CSIRO Division of Water Resources Technical Memorandum 93/5, Canberra
De Nys E, Le Gal P-Y, Raes D, Ana E (2008) WaDI (water delivery for irrigation): a simulation tool to address strategic interaction of water demand and supply in irrigation schemes. Agr Water Manage 95:224–232
Faures JM, Goodrich DC, Woolhiser DA, Sorooshian S (1995) Impact of small-scale spatial rainfall variability on runoff modeling. J Hydrol 173(1–4):309–326
Fortes PS, Platonov AE, Pereira LS (2005) GISAREG—A GIS based irrigation scheduling simulation model to support improved water use. Agr Water Manage 95:925–936
Goodrich DC, Faures JM, Woolhiser DA, Lane LJ, Sorooshian S (1995) Measurement and analysis of small-scale convective storm rainfall variability. J Hydrol 173(1–4):283–308
Hu K, Li B, Chen D, Zhang Y, Edis R (2008) Simulation of nitrate leaching under irrigated maize on sandy soil in desert oasis in Inner Mongolia, China. Agr Water Manage 95:1180–1188
Ines AVM, Honda K, Gupta AD, Droogers P, Clemente RS (2006) Combining remote sensing-simulation modeling and genetic algorithm optimization to explore water management options in irrigated agriculture. Agr Water Manage 83:221–232
Jiang Y (2009) China’s water scarcity. J Environ Manag 90:3185–3196
Laboski CAM, Lamb JA, Dowdy RH, Baker JM, Wright J (2001) Irrigation scheduling for a sandy soil using mobile frequency domain reflectometry with a checkbook method. J Soil Water Conserv 52(2):97–100
Leenhardt D, Trouvat J-L, Gonzalès G, Pérarnaud V, Prats S, Bergez J-E (2004) Estimating irrigation demand for water management on a regional scale I. ADEAUMIS, a simulation platform based on bio-decisional modelling and spatial information. Agr Water Manage 68:207–232
Li Y (2002) A spatially referenced model for identifying optimal strategies for managing water and fertiliser nitrogen under intensive cropping in the North China Plain. The University of Melbourne, Melbourne
Li X (2009) Soil water and nitrogen modeling and agricultural managements optimization in county scale. Graduates School of Chinese Academy of Sciences. 67–91 (in Chinese with English abstract)
Li X, Hu C, Delgado AJ, Zhang Y, Ouyang Z (2007a) Increased nitrogen use efficiencies as a key mitigation alternative to reduce nitrate leaching in North China Plain. Agr Water Manage 89:137–147
Li Y, White R, Chen D, Zhang J, Li B, Zhang Y, Huang Y, Edis R (2007b) A spatially referenced water and nitrogen management model (WNMM) for (irrigated) intensive cropping systems in the North China Plain. Ecol Model 203(3–4):395–423
Lozano D, Mateos L (2008) Usefulness and limitations of decision support systems for improving irrigation scheme management. Agr Water Manage 95(4):409–418
Lu R (1999) Analytical methods of soil agricultural chemistry. Chinese Agricultural Scientech Press, Beijing (in Chinese)
Ma L, Malone RW, Heilman P, Karlen DL, Kanwar RS, Cambardella CA, Saseendran SA, Ahuja LR (2007) RZWQM simulation of long-term crop production, water and nitrogen balances in Northeast Iowa. Geoderma 140:247–259
Minasny B, McBratney AB (2002) The efficiency of various approaches to obtaining estimates of soil hydraulic properties. Geoderma 107:55–70
Obled C, Wendling J, Beven K (1994) The sensitivity of hydrological models to spatial rainfall patterns: an evaluation using observed data. J Hydrol 195(1–4):305–333
Ojeda-Bustamante W, Gonzalez-Camacho JM, Sifuentes-Ibarra E, Isidro E, Rendon-Pimentel L (2007) Using spatial information systems to improve water management in Mexico. Agr Water Manage 89:81–88
Playan E, Cavero J, Mantero I, Salvador R, Lecina S, Faci JM, Andres J, Salvador V, Cardena G, Ramon S, Lacueva JL, Tejero M, Ferri J, Martinez-Cob A (2007) A database program for enhancing irrigation district management in the Ebro Valley (Spain). Agr Water Manage 87:209–216
Rawls WJ, Gish TJ, Brakensiek DL (1991) Estimating soil water retention from soil physical properties and characteristics. Adv Soil Sci 16:213–234
Rinaldi M, Ventrella D, Gagliano C (2007) Comparison of nitrogen and irrigation strategies in tomato using CROPGRO model. A case study from Southern Italy. Agr Water Manage 87:91–105
Singh AK, Tripathy R, Chopra UK (2008a) Evaluation of CERES-Wheat and CropSyst models for water–nitrogen interactions in wheat crop. Agr Water Manage 95:776–786
Singh AK, Tripathy R, Chopra UK (2008b) Exploring regional irrigation water demand using typologies of farms and production units: an example from Tunisia. Agr Water Manage 95:973–983
Steele DD, Stegman EC, Knighton RE (2000) Irrigation management for corn in the northern Great Plains, USA. Irrigation Sci 19:107–114
Tietje O, Tapkenhinrichs M (1993) Evaluation of pedo-transfer function. Soil Sci Soc Am J 57:1088–1095
Varis O, Vakkilainen P (2001) China’s 8 challenges to water resources management in the first quarter of the 21st Century. Geomorphology 41:93–104
Vereecken H, Diels J, Van Orshoven J, Feyen J, Bouma J (1992) Functional evaluation of pedo-transfer function for the estimation of soil hydraulic properties. Soil Sci Soc Am J 56:1371–1378
Williams JR (1995) The EPIC model. In: Singh VP (ed) Computer models of watershed hydrology. Water Resources Publications, Highlands Ranch
Williams JR, Jones CA, Kiniry JR, Spanel DA (1989) The EPIC crop growth model. T ASAE 32:497–511
Wright J, Bergsrud F (1991) Irrigation scheduling: checkbook method. AG-FO-1322-C. Minn. Ext. Ser. Univ. Minn. St. Paul
http://www.wnmm.org (2008) http://www.wnmm.org/Doc/User%20Manual%20of%20WNMM.pdf
Yang C-C, Prasher SO, Wang S, Kim SH, Tan CS, Craig D, Patel RM (2007) Simulation of nitrate-N movement in southern Ontario, Canada with DRAINMOD-N. Agr Water Manage 87:299–306
Yoon KS, Yoo KH, Tyson TW, Curtis LM (1993) Farmers’ irrigation practices in a high rainfall area: effects on soil moisture. Irrigation Drainage Syst 7:221–229
Young RA, Onstad CA, Bosch DD, Anderson WP (1989) AGNPS: A non-point source pollution model for evaluating agricultural watersheds. J Soil Water Conserv 44(2):168–173
Zhao B, Zhang J, Flury M, Zhu A, Jiang Qi, Bi J (2007) Groundwater contamination with NO3-N in a wheat-maize cropping system in the North China Plain. Pedosphere 17(6):721–731
Zhu A (2008) Efficient methods estimating soil hydraulic properties in Tianranwenyanqu Basin. The graduate school of Chinese Academy of Science, Institute of Soil Science, Chinese Academy of Sciences, 37–53 (in Chinese with English abstract)
Zhu A, Zhang J, Zhao B, Cheng Z, Li L (2005) Water balance and nitrate leaching losses under intensive crop production with Ochric Aquic Cambosols in North China Plain. Environ Int 31:904–912
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This work was funded by the Knowledge Innovation Program of the Chinese Academy of Sciences (No. kzcx2-yw-406), the National Basic Research Program of China (973 program) (No. 2005CB121103) and National Key Technology R & D Program of China (No. 2006BAD10A06-03).
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Li, X., Zhang, J., Liu, J. et al. A modified checkbook irrigation method based on GIS-coupled model for regional irrigation scheduling. Irrig Sci 29, 115–126 (2011). https://doi.org/10.1007/s00271-010-0221-9
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DOI: https://doi.org/10.1007/s00271-010-0221-9