Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Water Resources Management
Published in: Water Resources Management 8/2013

01-06-2013

Optimizing Deficit Irrigation Scheduling Under Shallow Groundwater Conditions in Lower Reaches of Amu Darya River Basin

Authors: Fazlullah Akhtar, Bernhard Tischbein, Usman Khalid Awan

Published in: Water Resources Management | Issue 8/2013

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Water demand for irrigated agriculture is increasing against limited availability of fresh water resources in the lower reaches of the Amu Darya River e.g., Khorezm region of Uzbekistan. Future scenarios predict that Khorezm region will receive fewer water supplies due to climate change, transboundary conflicts and hence farmers have to achieve their yield targets with less water. We conducted a study and used AquaCrop model to develop the optimum and deficit irrigation schedule under shallow groundwater conditions (1.0–1.2 m) in the study region. Cotton being a strategic crop in the region was used for simulations. Capillary rise substantially contributes to crop-water requirements and is the key characteristic of the regional soils. However, AquaCrop does not simulate capillary rise contribution, thereby HYDRUS-1D model was used in this study for the quantification of capillary rise contribution. Alongside optimal irrigation schedule for cotton, deficit strategies were also derived in two ways: proportional reduction from each irrigation event (scenario-A) throughout the growth period as well as reduced water supply at specific crop growth stages (scenario-B). For scenario-A, 20, 40, 50 and 60 % of optimal water was deducted from each irrigation quota whereas for scenario-B irrigation events were knocked out at different crop growth stages (stage 1(emergence), stage 2 (vegetative), stage 3 (flowering) and stage 4 (yield formation and ripening)). For scenario-A, 0, 14, 30 and 48 % of yield reduction was observed respectively. During stress at the late crop development stage, a reduced water supply of 12 % resulted in a yield increase of 8 %. Conversely, during stress at the earlier crop development stage, yield loss was 17–18 %. During water stress at the late ripening stage, no yield loss was observed. Results of this study provide guidelines for policy makers to adopt irrigation schedule depending upon availability of irrigation water.
previous article A New Model for Simulating Supplemental Irrigation and the Hydro-Economic Potential of a Rainwater Harvesting System in Humid Subtropical Climates
next article Groundwater Risk Assessment of the Third Aquifer in Tianjin City, China

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now
Literature
Abdullayev I, Oberkircher L, Hornidge A-K, Hassan MU, Manschadi AM (2008) Strengthening water management institutions in Uzbekistan. In ZUR no. 7: Science brief from the ZEF-UNESCO project on Sustainable Management of Land and Water Resources in Khorezm, Uzbekistan
Allen RG (1986) A Penman for all seasons. J Irrig Drain Eng 112(4):348–368CrossRef
Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. Food and Agriculture Organization of the United Nations, Rome
Allouche J (2011) The sustainability and resilience of global water and food systems: political analysis of the interplay between security, resource scarcity, political systems and global trade. Food Policy 36:S3–S8CrossRef
Awan UK (2010) Coupling hydrological and irrigation schedule models for the management of surface and groundwater resources in Khorezm, Uzbekistan. Zentrum für Entwicklungsforschung (ZEF), Bonn
Awan UK, Tischbein B, Kamalov P, Martius C, Hafeez M (2011a) Modeling irrigation scheduling under shallow groundwater conditions as a tool for an integrated management of surface and groundwater resources. In: Martius C, Rudenko I, Lamers JPA, Vlek PLG (eds) Cotton, water, salts and soums: economic and ecological restructuring in Khorezm, Uzbekistan. Springer, Netherlands, pp 309–327
Awan UK, Tischbein B, Conrad C, Martius C, Hafeez M (2011b) Remote sensing and hydrological measurements for irrigation performance assessments in a water user association in the lower Amu Darya river basin. Water Resour Manag 25(10):2467–2485CrossRef
Ayars JE, Hutmacher RB (1994) Crop coefficients for irrigating cotton in the presence of groundwater. Irrig Sci 15(1):45–52CrossRef
Badescu V, Schuiling R (2010) Aral sea; irretrievable loss or Irtysh imports? Water Resour Manag 24(3):597–616CrossRef
Bakkes J, Aalbers L, Biggs O, Hoff H, Peterson G (2009) Getting into the right lane for 2050: a primer for EU debate. Netherlands Environmental Assessment Agency, Bilthoven
Barker R, Dawe D, Inocencio A (2003) Economics of water productivity in managing water for agriculture. In: Kijne JW, Barker R, Molden D (eds) Water productivity in agriculture: limits and opportunities for improvement. CABI, Oxford, pp 19–36CrossRef
Conejero W, Mellisho CD, Ortuño MF, Moriana A, Moreno F, Torrecillas A (2011) Using trunk diameter sensors for regulated deficit irrigation scheduling in early maturing peach trees. Environ Exp Bot 71(3):409–415
Doorenbos J, Kassam AH (1979) Yield response to water. In: FAO irrigation and drainage paper, vol 33. Food and Agriculture Organization of the United Nations, Rome, p 193
Doyle EI, Feldman RHL (1997) Factors affecting nutrition behavior among middle-class adolescents in urban area of Northern region of Brazil. Revista de Saúde Pública 31(4):342–350CrossRef
Enfors EI, Gordon LJ (2008) Dealing with drought: the challenge of using water system technologies to break dryland poverty traps. Glob Environ Chang 18(4):607–616CrossRef
English M (1990) Deficit irrigation. I, Analytical framework. J Irrig Drain Eng 116(3):399–412CrossRef
Falkenmark M (1998) Dilemma when entering 21st century–rapid change but lack of sense of urgency. Water Policy 1(4):421–436CrossRef
Farahani HJ, Izzi G, Oweis TY (2009) Parameterization and evaluation of the AquaCrop model for full and deficit irrigated cotton. Agron J 101(3):469–476CrossRef
Feddes RA, Kowalik PJ, Zaradny H (1978) Simulation of field water use and crop yield. John Wiley & Sons, New York
Fereres E, Soriano MA (2007) Deficit irrigation for reducing agricultural water use. J Exp Bot 58(2):147–159CrossRef
Fereres E, Orgaz F, Gonzalez-Dugo V (2011) Reflections on food security under water scarcity. J Exp Bot 62(12):1–8
Fergus M (1999) The Aral sea environmental crisis: problems and a way forward. Asian Affairs 30(1):35–44
Fernández JE, Torres-Ruiz JM, Diaz-Espejo A, Montero A, Álvarez R, Jiménez MD, Cuerva J, Cuevas MV (2011) Use of maximum trunk diameter measurements to detect water stress in mature ‘Arbequina’ olive trees under deficit irrigation. Agric Water Manage 98(12):1813–1821CrossRef
Forkutsa I (2006) Modeling water and salt dynamics under irrigated cotton with shallow groundwater in the Khorezm region of Uzbekistan. Cuvillier, Göttingen
Forkutsa I, Sommer R, Shirokova Y, Lamers J, Kienzler K, Tischbein B, Martius C, Vlek P (2009a) Modeling irrigated cotton with shallow groundwater in the Aral Sea Basin of Uzbekistan: I. Water dynamics. Irrig Sci 27(4):331–346CrossRef
Forkutsa I, Sommer R, Shirokova Y, Lamers J, Kienzler K, Tischbein B, Martius C, Vlek P (2009b) Modeling irrigated cotton with shallow groundwater in the Aral Sea Basin of Uzbekistan: II. Soil salinity dynamics. Irrig Sci 27(4):319–330CrossRef
Gardner WR, Fireman M (1958) Laboratory studies of evaporation from soil columns in the presence of a water table. Soil Sci 85(5):244–249CrossRef
Geerts S, Raes D (2009) Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas. Agric Water Manage 96(9):1275–1284CrossRef
Grismer ME, Gates TK, Hanson BR (1988) Irrigation and drainage strategies in salinity problem areas. Calif Agric 42(5):23–24
Hanson BR, Kite SW (1984) Irrigation scheduling under saline high water tables. Trans ASAE - Am Soc Agric Eng 27(5):1430–1434
Hoffman GJ, Hall C (1996) Leaching fraction and root zone salinity control. In: Tanji KK (ed) Agricultural salinity assessment and management. American Society of Civil Engineers, New York, pp 237–261
Hoffman GJ, van Genuchten MT (1983) Soil properties and efficient water use: water management for salinity control. In Taylor HM, Jordan WR, Sinclair TR (eds) Limitations to efficient water use in crop production. American Society of Agronomy, Madison, WI 53711:73–85
Hsiao TC (1973) Plant responses to water stress. Annu Rev Plant Physiol 24(1):519–570CrossRef
Hsiao TC, Jfa C, Heng L, Steduto P, Rojas-Lara B, Raes DU, Fereres E (2009) AquaCrop-The FAO crop model to simulate yield response to water: III. Parameterization and testing for maize, American Society of Agronomy
Hutmacher RB, Ayars JE, Vail SS, Bravo AD, Dettinger D, Schoneman RA (1996) Uptake of shallow groundwater by cotton: growth stage, groundwater salinity effects in column lysimeters. Agric Water Manag 31(3):205–223CrossRef
Ibrakhimov M, Park SJ, Vlek PLG (2004) Development of groundwater salinity in a region of the lower Amu-Darya River, Khorezm, Uzbekistan. In: Ryan J, Vlek PLG, Paroda R (eds) Agriculture in Central Asia: research for development. Proceedings of a symposium held at the American Society of Agronomy annual meetings at Indianapolis, Indiana, USA. ICARDA, Aleppo, pp 56–75
Jalota SK, Sood A, Chahal GBS, Choudhury BU (2006) Crop water productivity of cotton (Gossypium hirsutum L.)-wheat (Triticum aestivum L.) system as influenced by deficit irrigation, soil texture and precipitation. Agric Water Manag 84(1–2):137–146CrossRef
Kahlown MA, Ashraf M, Zia-ul-Haq (2005) Effect of shallow groundwater table on crop water requirements and crop yields. Agric Water Manag 76(1):24–35CrossRef
Kang S, Zhang F, Hu X, Jerie P, Zhang L (2001) Effects of shallow water table on capillary contribution, evapotranspiration, and crop coefficient of maize and winter wheat in a semi-arid region. Aust J Agric Res 52(3):317–327CrossRef
Kang S, Zhang L, Liang Y, Hu X, Cai H, Gu B (2002) Effects of limited irrigation on yield and water use efficiency of winter wheat in the Loess Plateau of China. Agric Water Manag 55(3):203–216CrossRef
Kirda C (2002) Deficit irrigation scheduling based on plant growth stages showing water stress tolerance. In: Deficit irrigation practices: water reports. FAO, Rome
Kite S, Hanson B (1984) Irrigation scheduling under saline high water tables. Calif Agric 38(1):12–14
Micklin PP (1988) Desiccation of the Aral sea: a water management disaster in the Soviet Union. Science 241(4870):1170–1176CrossRef
Monteith JL (1973) Principles of environmental physics. Edward Arnold, London
Mualem Y (1976) A new model predicting the hydraulic conductivity of unsaturated porous media. Water Resour Res 12(3):513–522CrossRef
Northey JE, Christen EW, Ayars JE, Jankowski J (2006) Occurrence and measurement of salinity stratification in shallow groundwater in the Murrumbidgee irrigation area, south-eastern Australia. Agric Water Manag 81(1–2):23–40CrossRef
Oweis TY, Farahani HJ, Hachum AY (2011) Evapotranspiration and water use of full and deficit irrigated cotton in the Mediterranean environment in northern Syria. Agric Water Manag 98(8):1239–1248CrossRef
Prieto D, Angueira C (1999) Water stress effect on different crop growth stages for cotton and its influence on yield reduction. In: Kirda C, Moutonnet P, Hera C, Nielsen DR (eds) Crop yield response to deficit irrigation, vol 84. Kluwer Academic Publishers, Dordrecht, pp 161–179CrossRef
Raes D, Steduto P, Hsiao TC, Fereres E (2009) AquaCrop - The FAO Crop model to simulate yield response to water: II. Main algorithms and software description. Agron J 101(3):438–447CrossRef
Strickman R, Porkka M (2008) Water and Social Changes in Central Asia: Problems Related to Cotton Production in Uzbekistan. In Rahaman MM, Varis O (Eds.), Central Asian Waters – Social, economic, environmental and governance puzzle. Water and Development Publications, Helsinki University of Technology, Espoo, pp 105–115
Rosegrant MW, Cai X, Cline SA (2002) Global water outlook to 2025: averting an impending crisis. Washington, D.C.: International Food Policy Research Institute
Salemi H, Soom MAM, Lee TS, Mousavi SF, Ganji A, Yusoff MK (2011) Application of AquaCrop model in deficit irrigation management of winter wheat in arid region. Afr J Agric Res 6(10):2204–2215
Simunek J, van Genuchten MT, Sejna M, Sakai M (2008) The HYDRUS-1D software package for simulating the movement of water, heat, and multiple solutes in variably saturated media. US Salinity Laboratory, USDA-ARS, Riverside, California
Steduto P, Hsiao T, Fereres E (2007) On the conservative behavior of biomass water productivity. Irrig Sci 25(3):189–207CrossRef
Steduto P, Jfa C, Hsiao, TC, Raes, DU, Fereres E (2009) AquaCrop-The FAO crop model to simulate yield response to water: I. Concepts and underlying principles, American Society of Agronomy
Tarara JM, Peña JEP, Keller M, Schreiner RP, Smithyman RP (2011) Net carbon exchange in grapevine canopies responds rapidly to timing and extent of regulated deficit irrigation. Funct Plant Biol 38(5):386–400CrossRef
Tekinel O, Kanber R (1979) Yield and water consumption of cotton as affected by deficit irrigation under Cukurova conditions. Soil and Water Research Institute, Tarsus, p 39
Törnqvist R, Jarsjö J (2012) Water Savings through improved irrigation techniques: basin-scale quantification in semi-arid environments. Water Resour Manag, 26(4):949–962
UNESCO (2009) Water in a changing world. In The United Nations world water development report 3, UN Water, 99
Van Genuchten MT (1980) A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44(5):892–898CrossRef
Wallender WW, Grimes DW, Henderson DW, Stromberg LK (1979) Estimating the contribution of a perched water table to the seasonal evapotranspiration of cotton. Agron J 71(6):1056–1060CrossRef
Wegerich K (2002) Natural drought or human made water scarcity in Uzbekistan? Central Asia Caucasus 2(14):14–21
Yalcuk H, Özkara HM (1984) The effects of omitted irrigation on cotton production in west Anatolia region. Soil and Water Research Institute, Izmir, p 35
Yang J, Wan S, Deng W, Zhang G (2007) Water fluxes at a fluctuating water table and groundwater contributions to wheat water use in the lower Yellow River flood plain, China. Hydrol Process 21(6):717–724CrossRef
Zhang W, Wei C, Zhou J (2010) Optimal allocation of rainfall in the Sichuan Basin, Southwest China. Water Resour Manag 24(15):4529–4549CrossRef
Metadata
Title
Optimizing Deficit Irrigation Scheduling Under Shallow Groundwater Conditions in Lower Reaches of Amu Darya River Basin
Authors
Fazlullah Akhtar
Bernhard Tischbein
Usman Khalid Awan
Publication date
01-06-2013
Publisher
Springer Netherlands
Published in
Water Resources Management / Issue 8/2013
Print ISSN: 0920-4741
Electronic ISSN: 1573-1650
DOI
https://doi.org/10.1007/s11269-013-0341-0

Other articles of this Issue 8/2013

Water Resources Management 8/2013 Go to the issue

OriginalPaper

A Dynamic Model for Vulnerability Assessment of Regional Water Resources in Arid Areas: A Case Study of Bayingolin, China

ReviewPaper

Optimization of Retention Ponds to Improve the Drainage System Elasticity for Water-Energy Nexus

OriginalPaper

Improved Wavelet Modeling Framework for Hydrologic Time Series Forecasting

OriginalPaper

A New Model for Simulating Supplemental Irrigation and the Hydro-Economic Potential of a Rainwater Harvesting System in Humid Subtropical Climates

OriginalPaper

Water Demand Management in Singapore: Involving the Public

ReviewPaper

Regionalisation of Maximum Annual Runoff Using Hierarchical and Trellis Methods with Topographic Information