A comprehensive study on irrigation management in Asia and Oceania

References

• Abdullaev I, De Fraiture C, Giordano M, Yakubov M, Rasulov A. 2009. Agricultural water use and trade in Uzbekistan: situation and potential impacts of market liberalization. Int J Water Resour Dev. 25:47–63.
   Web of Science ®Google Scholar
• Banihabib ME, Valipour M, Behbahani SMR. 2012. Comparison of autoregressive static and artificial dynamic neural network for the forecasting of monthly inflow of Dez reservoir. J Environ Sci Technol. 13:1–14. Available from: http://jest.srbiau.ac.ir/?_action=articleInfo&article=84
   Google Scholar
• Bhattarai M, Barker R, Narayanamoorthy A. 2007. Who benefits from irrigation development in India? Implication of irrigation multipliers for irrigation financing. Irrig Drain. 56:207–225.
   Web of Science ®Google Scholar
• Fang QX, Ma L, Green TR, Yu Q, Wang TD, Ahuja LR. 2010. Water resources and water use efficiency in the North China Plain: current status and agronomic management options. Agr Water Manage. 97:1102–1116.
   Web of Science ®Google Scholar
• [FAO] Food and Agriculture Organization of the United Nations. 2013. AQUASTAT database. [Internet]. Rome: FAO; [cited 2013 Oct 8]. Available from: http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en
   Google Scholar
• Geng Q, Wu P, Zhao X, Wang Y. 2014. A framework of indicator system for zoning of agricultural water and land resources utilization: a case study of Bayan Nur, Inner Mongolia. Ecol Indicat. 40:43–50.
   Web of Science ®Google Scholar
• Ghosh S, Verma HN, Chandra D, Nanda P. 2005. Appropriateness of recommended agricultural water-management technologies as perceived by the personnel of research and extension system: a study in the eastern region of India. J Agric Educat Exten. 11:17–26.
   Google Scholar
• Horinkova V, Abdullaev I. 2003. Institutional aspects of water management in central Asia water users associations. Water Int. 28:237–245.
   Web of Science ®Google Scholar
• Mahdizadeh Khasraghi M, Gholami Sefidkouhi MA, Valipour M. 2014. Simulation of open and closed-end border irrigation systems using SIRMOD. Arch Agron Soil Sci. doi:10.1080/03650340.2014.981163
   Web of Science ®Google Scholar
• Namara RE, Hanjra MA, Castillo GE, Ravnborg HM, Smith L, Van Koppen B. 2010. Agricultural water management and poverty linkages. Agric Water Manage. 97:520–527.
   Web of Science ®Google Scholar
• Omezzine A, Chebaane M, Zaibet L. 1998. Analysis of agricultural water allocation and returns in the Sultanate of Oman. Water Int. 23:249–255.
   Web of Science ®Google Scholar
• Rahimi S, Gholami Sefidkouhi MA, Raeini-Sarjaz M, Valipour M. 2014. Estimation of actual evapotranspiration by using MODIS images (a case study: Tajan catchment). Arch Agron Soil Sci. doi:10.1080/03650340.2014.944904
   Web of Science ®Google Scholar
• Singh A. 2014. Conjunctive use of water resources for sustainable irrigated agriculture. J Hydrol. 519:1688–1697.
   Web of Science ®Google Scholar
• Svendsen M, Rosegrant MW. 1994. Irrigation development in Southeast Asia beyond 2000: will the future be like the past? Water Int. 19:25–35.
   Web of Science ®Google Scholar
• Thomas A. 2008. Agricultural irrigation demand under present and future climate scenarios in China. Glob Planet Chang. 60:306–326.
   Web of Science ®Google Scholar
• Tularam GA, Marchisella P. 2014. Water scarcity in Asia and its long-term water and border security implications for Australia. In: Clarck RM, Hakim S, editors. Securing water and wastewater systems. Bern: Springer International Publishing; p. 189–211.
   Google Scholar
• Ul Hassan MM. 2011. Analyzing governance reforms in irrigation: Central, South and West Asian experience. Irrig Drain. 60:151–162.
   Web of Science ®Google Scholar
• Valipour M. 2012a. Critical areas of Iran for agriculture water management according to the annual rainfall. Eur J Sci Res. 84:600–608.
   Google Scholar
• Valipour M. 2012b. Comparison of surface irrigation simulation models: full hydrodynamic, zero inertia, kinematic wave. J Agr Sci. 4:68–74.
   Google Scholar
• Valipour M. 2012c. Determining possible optimal the values of required flow, nozzle diameter, and wetted area for linear traveling laterals. Int J Eng Sci. 1:37–43.
   Google Scholar
• Valipour M. 2012d. Hydro-module determination for Vanaei Village in Eslam Abad Gharb, Iran. ARPN J Agr Biol Sci. 7:968–976.
   Google Scholar
• Valipour M. 2012e. Number of required observation data for rainfall forecasting according to the climate conditions. Am J Sci Res. 74:79–86.
   Google Scholar
• Valipour M. 2012f. Scrutiny of pressure loss, friction slope, inflow velocity, velocity head, and Reynolds number in center pivot. Int J Adv Sci Technol Res. 2:703–711.
   Google Scholar
• Valipour M. 2012g. Ability of box-Jenkins models to estimate of reference potential evapotranspiration (a case study: Mehrabad synoptic station, Tehran, Iran). IOSR J Agric Vet Sci. 1:1–11.
   Google Scholar
• Valipour M. 2012h. Effect of drainage parameters change on amount of drain discharge in subsurface drainage systems. IOSR J Agric Vet Sci. 1:10–18.
   Google Scholar
• Valipour M. 2012i. A comparison between horizontal and vertical drainage systems (include pipe drainage, open ditch drainage, and pumped wells) in anisotropic soils. IOSR J Mech Civil Eng. 4:07–12.
   Google Scholar
• Valipour M. 2012j. Sprinkle and trickle irrigation system design using tapered pipes for pressure loss adjusting. J Agric Sci. 4:125–133.
   Google Scholar
• Valipour M. 2013a. Necessity of irrigated and rainfed agriculture in the world. Irrig Drain Sys Eng. S9:e001.
   Google Scholar
• Valipour M. 2013b. Evolution of irrigation-equipped areas as share of cultivated areas. Irrig Drain Sys Eng. 2:e114.
   Google Scholar
• Valipour M. 2013c. Need to update of irrigation and water resources information according to the progresses of agricultural knowledge. Agrotechnology. S10:e001.
   Google Scholar
• Valipour M. 2013d. Increasing irrigation efficiency by management strategies: cutback and surge irrigation. ARPN J Agri Biol Sci. 8:35–43.
   Google Scholar
• Valipour M. 2013e. Use of surface water supply index to assessing of water resources management in Colorado and Oregon, US. Adv Agr Sci Eng Res. 3:631–640.
   Google Scholar
• Valipour M. 2013f. Estimation of surface water supply index using snow water equivalent. Adv Agr Sci Eng Res. 3:587–602.
   Google Scholar
• Valipour M. 2013g. Scrutiny of inflow to the drains applicable for improvement of soil environmental conditions [Internet]. In: The 1st international conference on environmental crises and its solutions; Kish Island; [cited 2013 Feb 13]. Available from: http://www.civilica.com/EnPaper-ICECS01-ICECS01_048.html
   Google Scholar
• Valipour M. 2013h. Comparison of different drainage systems usable for solution of environmental crises in soil [Internet]. In: The 1st international conference on environmental crises and its solutions; Kish Island; [cited 2013 Feb 13]. Available from: http://www.civilica.com/EnPaper-ICECS01-ICECS01_047.html
   Google Scholar
• Valipour M. 2014a. Evaluation of radiation methods to study potential evapotranspiration of 31 provinces. Meteorol Atmos Phys. doi:10.1007/s00703-014-0351-3
   Web of Science ®Google Scholar
• Valipour M. 2014b. Handbook of water engineering problems. Foster City (CA): OMICS Group eBooks. Available from: http://www.esciencecentral.org/ebooks/handbook-of-water-engineering-problems/pdf/handbook-of-water-engineering-problems.pdf
   Google Scholar
• Valipour M. 2014c. Future of the area equipped for irrigation. Arch Agron Soil Sci. 60:1641–1660.
   Web of Science ®Google Scholar
• Valipour M. 2014d. Temperature analysis of reference evapotranspiration models. Meteorol Appl. doi:10.1002/met.1465
   Web of Science ®Google Scholar
• Valipour M. 2014e. Application of new mass transfer formulae for computation of evapotranspiration. J Appl Water Eng Res. 2:33–46.
   Google Scholar
• Valipour M. 2014f. Land use policy and agricultural water management of the previous half of century in Africa. Appl Water Sci. doi:10.1007/s13201-014-0199-1
   PubMed Web of Science ®Google Scholar
• Valipour M. 2014g. Future of agricultural water management in Americas. J Agr Res. 54:245–267.
   Google Scholar
• Valipour M. 2014h. Drainage, waterlogging, salinity. Arch Agron Soil Sci. 60:1625–1640.
   Web of Science ®Google Scholar
• Valipour M. 2014i. Future of agricultural water management in Europe based on socioeconomic indices. Acta Adv Agr Sci. 2:1–18.
   Google Scholar
• Valipour M. 2014j. Use of average data of 181 synoptic stations for estimation of reference crop evapotranspiration by temperature-based methods. Water Resour Manage. 28:4237–4255.
   Google Scholar
• Valipour M. 2014k. Investigation of Valiantzas’ evapotranspiration equation in Iran. Theor Appl Climatol. doi:10.1007/s00704-014-1240-x
   Web of Science ®Google Scholar
• Valipour M. 2014l. Assessment of different equations to estimate potential evapotranspiration versus FAO Penman Monteith method. Acta Adv Agric Sci. 2:14–27.
   Google Scholar
• Valipour M. 2014m. Analysis of potential evapotranspiration using limited weather data. Appl Water Sci. doi:10.1007/s13201-014-0234-2
   PubMed Web of Science ®Google Scholar
• Valipour M. 2014n. Runoff long term study using SARIMA and ARIMA models in the United States. Meteorol Appl. doi:10.1002/met.1491
   Web of Science ®Google Scholar
• Valipour M. 2014o. Comparative evaluation of radiation-based methods for estimation of potential evapotranspiration. J Hydrol Eng. doi:10.1061/(ASCE)HE.1943-5584.0001066
   Web of Science ®Google Scholar
• Valipour M. 2014p. Handbook of irrigation engineering problems. Foster City (CA): OMICS Group eBooks. Available from: http://www.esciencecentral.org/ebooks/handbook-of-irrigation-engineering-problems/pdf/handbook-of-irrigation-engineering-problems.pdf
   Google Scholar
• Valipour M. 2014q. Handbook of hydraulic engineering problems. Foster City (CA): OMICS Group eBooks. Available from: http://www.esciencecentral.org/ebooks/handbook-of-hydraulic-engineering-problems/pdf/handbook-of-hydraulic-engineering-problems.pdf
   Google Scholar
• Valipour M. 2014r. Pressure on renewable water resources by irrigation to 2060. Acta Adv Agric Sci. 2:32–42.
   Google Scholar
• Valipour M. 2014s. Prediction of irrigated agriculture in Asia Pacific using FAO indices. Acta Adv Agric Sci. 2:40–53.
   Google Scholar
• Valipour M. 2014t. Handbook of environmental engineering problems. Foster City (CA): OMICS Group eBooks. Available from: http://www.esciencecentral.org/ebooks/handbook-of-environmental-engineering-problems/pdf/handbook-of-environmental-engineering-problems.pdf
   Google Scholar
• Valipour M. 2014u. Handbook of drainage engineering problems. Foster City (CA): OMICS Group eBooks. Available from: http://www.esciencecentral.org/ebooks/handbook-of-drainage-engineering-problems/pdf/handbook-of-drainage-engineering-problems.pdf
   Google Scholar
• Valipour M. 2014v. Study of different climatic conditions to assess the role of solar radiation in reference crop evapotranspiration equations. Arch Agron Soil Sci. doi:10.1080/03650340.2014.941823
   Web of Science ®Google Scholar
• Valipour M. 2014w. Handbook of hydrologic engineering problems. Foster City (CA): OMICS Group eBooks. Available from: http://www.esciencecentral.org/ebooks/handbook-of-hydrologic-engineering-problems/pdf/handbook-of-hydrologic-engineering-problems.pdf
   Google Scholar
• Valipour M. 2014x. Future of agricultural water management in Africa. Arch Agron Soi Sci. doi:10.1080/03650340.2014.961433
   Web of Science ®Google Scholar
• Valipour M. Forthcoming 2014y. Irrigation status of Americas. Acta Adv Agric Sci. Accepted.
   Google Scholar
• Valipour M. 2015. Importance of solar radiation, temperature, relative humidity, and wind speed for calculation of reference evapotranspiration. Arch Agron Soil Sci. 61:239–255.
   Web of Science ®Google Scholar
• Valipour M, Banihabib ME, Behbahani SMR. 2012a. Parameters estimate of autoregressive moving average and autoregressive integrated moving average models and compare their ability for inflow forecasting. J Math Stat. 8:330–338.
   Google Scholar
• Valipour M, Banihabib ME, Behbahani SMR. 2012b. Monthly inflow forecasting using autoregressive artificial neural network. J Appl Sci. 12:2139–2147.
   Google Scholar
• Valipour M, Banihabib ME, Behbahani SMR. 2013a. Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir. J Hydrol. 476:433–441.
   Web of Science ®Google Scholar
• Valipour M, Eslamian S. Forthcoming 2014. Analysis of potential evapotranspiration using 11 modified temperature-based models. Int J Hydrol Sci Technol. Accepted.
   Google Scholar
• Valipour M, Montazar AA. 2012a. Optimize of all effective infiltration parameters in furrow irrigation using visual basic and genetic algorithm programming. Aust J Basic Appl Sci. 6:132–137.
   Google Scholar
• Valipour M, Montazar AA. 2012b. Sensitive analysis of optimized infiltration parameters in SWDC model. Adv Environ Biol. 6:2574–2581.
   Google Scholar
• Valipour M, Montazar AA. 2012c. An evaluation of SWDC and WINSRFR models to optimize of infiltration parameters in furrow irrigation. Am J Sci Res. 69:128–142.
   Google Scholar
• Valipour M, Mousavi SM, Valipour R, Rezaei E. 2012c. Air, water, and soil pollution study in industrial units using environmental flow diagram. J Basic Appl Sci Res. 2:12365–12372.
   Google Scholar
• Valipour M, Mousavi SM, Valipour R, Rezaei E. 2012d. SHCP: soil heat calculator program. IOSR J Appl Phys. 2:44–50.
   Google Scholar
• Valipour M, Mousavi SM, Valipour R, Rezaei E 2013b. A new approach for environmental crises and its solutions by computer modeling. In: The 1st International Conference on Environmental Crises and Its Solutions, Kish Island; [cited 2013 Feb 13]. Available from: http://www.civilica.com/EnPaper–ICECS01_005.html
   Google Scholar
• Valipour M, Mousavi SM, Valipour R, Rezaei E. 2013c. Deal with environmental challenges in civil and energy engineering projects using a new technology. J Civil Environ Eng. 3:127.
   Google Scholar
• Valipour M, Ziatabar Ahmadi M, Raeini-Sarjaz M, Gholami Sefidkouhi MA, Shahnazari A, Fazlola R, Darzi-Naftchali A. 2014. Agricultural water management in the world during past half century. Arch Agron Soil Sci. doi:10.1080/03650340.2014.944903
   Web of Science ®Google Scholar
• [WBG] World Bank Group. 2013. WBG database. [Internet]. [cited 2013 Dec 16]. Available from: http://www.worldbank.org/
   Google Scholar
• Xenarios S, Amarasinghe U, Sharma B. 2011. Economic implications of agricultural water use in Eastern India. J Natur Resour Policy Res. 3:371–391.
   Google Scholar
• Yakubov M, Manthrithilake H. 2009. Water for food as food for thought: case study of applying the PODIUMSim model to Uzbekistan. Irrig Drain. 58:17–37.
   Web of Science ®Google Scholar
• Yu Z, Qingshan Y. 2014. Decoupling agricultural water consumption and environmental impact from crop production based on the water footprint method: a case study for the Heilongjiang land reclamation area, China. Ecol Indicat. 43:29–35.
   Web of Science ®Google Scholar
• Zhang Q, Xia Q, Liu CCK, Geng S. 2013. Technologies for efficient use of irrigation water and energy in China. J Integr Agric. 12:1363–1370.
   Web of Science ®Google Scholar