nach oben

Environmental Earth Sciences

Erschienen in:

01.03.2012 | Special Issue

Optimal planning and operation of irrigation systems under water resource constraints in Oman considering climatic uncertainty

verfasst von: Niels Schütze, Sebastian Kloss, Franz Lennartz, Ahmed Al Bakri, Gerd H. Schmitz

Erschienen in: Environmental Earth Sciences | Ausgabe 5/2012

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

In this contribution, we introduce a stochastic framework for decision support for optimal planning and operation of water supply in irrigation. This consists of (1) a weather generator for simulating regional impacts of climate change on the basis of IPCC scenarios, (2) a tailor-made evolutionary optimization algorithm for optimal irrigation scheduling with limited water supply, (3) a mechanistic model for simulating water transport and crop growth in a sound manner, and (4) a kernel density estimator for estimating stochastic productivity, profit, and demand functions by a nonparametric method. As a result of several simulation/optimization runs within the framework, we present stochastic crop-water production functions (SCWPF) for different crops which can be used as a basic tool for assessing the impact of climate variability on the risk for the potential yield for specific crops and specific agricultural areas. A case study for an agricultural area in the Al Batinah region of the Sultanate of Oman is used to illustrate these methodologies. In addition, microeconomic impacts of climate change and the vulnerability of the agro-ecological system are discussed.

Vorheriger Artikel Estimation of spatially distributed soil information: dealing with data shortages in the Western Bug Basin, Ukraine

Nächster Artikel Soil column experiments to quantify vadose zone water fluxes in arid settings

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Jetzt informieren

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!

Jetzt informieren

Abdelrahman H, Lepiece A, Macalinga V (1993) Some physical and chemical characteristics of the batinah soils. Commun Soil Sci Plant Anal 24:2293–2305CrossRef

Al-Zidjali T (1996) OMAN:country report to the FAO international technical conference on plant genetic resources. Technical report, FAO

Bontemps C, Couture S (2002) Irrigation water demand for the decision maker. Environ Dev Econ 7:643–657CrossRef

Botev Z, Grotowski J, Kroese DP (2010) Kernel density estimation via diffusion. Ann Stat 38:2916–2957 doi:10.1214/10-AOS799 CrossRef

Brown PD, Cochrane TA, Krom TD, Painter DJ, Bright JC (2006) Optimal on-farm multicrop irrigation scheduling with limited water supply. In: Zazueta F, Kin J, Ninomiya S, Schiefer G (eds) Computers in agriculture and natural resources. 4th world congress conference, Orlando, USA, 2006

Brumbelow K, Georgakakos A (2007a) Determining crop-water production functions using yield-irrigation gradient algorithms. Agric Water Manage 87(2):151–161. doi:10.1016/j.agwat.2006.06.016, ISSN 0378-3774CrossRef

Brumbelow K, Georgakakos A (2007b) Consideration of climate variability and change in agricultural water resources planning. J Water Resour Plan Manage ASCE 133(3):275–285. doi:10.1061/(ASCE)0733-9496(2007)133:3(275), ISSN 0733-9496CrossRef

Carberry PS, Arbrecht DG (1991) Tailoring crop models to the semi-arid tropics. In: Muchow R, Bellamy J (eds) Climatic risk in crop production: models and management in the semi-arid tropics and sub-tropics. Cab International, Wallingford, pp 157–182

English M (1990) Deficit irrigation. I: Analytical framework. J Irrig Drain Eng ASCE 116(3):399–412CrossRef

Garcia y Garcia A, Guerra LC, Hoogenboom G (2008) Impact of generated solar radiation on simulated crop growth and yield. Ecol Model 210(3):312–326. doi:10.1016/j.ecolmodel.2007.08.003, ISSN 0304-3800CrossRef

Gonzalez-Camacho JM, Mailhol JC, Ruget F (2008) Local impact of increasing CO₂ in the atmosphere on maize crop water productivity in the Drome valley, France. Irrig Drain 57(2):229–243. doi:10.1002/ird.332, ISSN 1531-0353CrossRef

Gorantiwar SD, Smout IK (2003) Allocation of scarce water resources using deficit irrigation in rotational systems. J Irrig Drain Eng ASCE 129(3):155–163CrossRef

Grundmann J, Al Hattaly S, Schmitz G, Schütze N, Walther M (2011) Towards an integrated arid zone water management using simulation based optimisation. Environ Earth Sci. doi:10.1007/s12665-011-1253-z (this issue)

Hammer GL, Muchow R (1991) Quantifying climatic risk to sorghum in Australia’s semi-arid tropics and subtropics: model development and simulation. In: Muchow R, Bellamy J (eds) Climatic risk in crop production: models and management in the semi-arid tropics and sub-tropics. Cab International, Wallingford, pp 205–232

IPCC (2007) Climate Change 2007: the physical science basis. Contribution of Working Group I to the fourth assessment report of the Intergovernmental Panel on Climate Change. Technical report. http://ipcc-wg1.ucar.edu/wg1/wg1-report.html

Jones CA, Kiniry JR (1986) Ceres-maize: a simulation model of maize growth and development, technical report. Texas A & M University

Jones HG (Nov 2004) Irrigation scheduling: advantages and pitfalls of plant-based methods. J Exp Bot 55(407):2427–2436. doi:10.1093/jxb/erh213. http://dx.doi.org/10.1093/jxb/erh213

Kacimov A, Sherif M, Perret A, Al-Mushikhi JS (2009) Control of sea-water intrusion by salt-water pumping: Coast of Oman. Hydrogeol J 17:541–558CrossRef

Kalbacher T, Delfs J, Shao H, Wang W, Walther M, Samaniego A, Schneider, Musolff A, Centler F, Sun Y, Hildebrandt A, Liedl R, Borchardt D, Krebs P, Kolditz O (2011) The IWAS ToolBox: software coupling for an integrated water resources management. Environ Earth Sci. doi:10.1007/s12665-011-1270-y (this issue)

Kalbus E, Kalbacher T, Kolditz O, Krüger E, Seegert J, Teutsch G, Borchardt D, Krebs P (2011) IWAS—Integrated Water Resources Management under different hydrological, climatic and socioeconomic conditions. Environ Earth Sci. doi:10.1007/s12665-011-1330-3 (this issue)

Keating BA, Wafula BM (1992) Modelling the fully-expanded area of maize leaves. Field Crops Res 29:163–176CrossRef

Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth NI, Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes JP, Silburn M, Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn DM, Smith CJ (2003) An overview of APSIM, a model designed for farming systems simulation. Eur J Agron 18(3–4):267–288CrossRef

Loganathan G, Elango K (July 2004) Revisiting optimal water-allocation under deficient supply. In: Kumar M, Sekhar M (eds) Assessment and management of water resources, AMWR 2004, Bangalore, India. Department of Civil Engineering, Indian Institute of Science, Bangalore

Raghuwanshi NS, Wallender WW (1997) Economic optimization of furrow irrigation. J Irrig Drain Eng ASCE 5:377–385CrossRef

Scheierling SM, Cardon GE, Young RA (1997) Impact of irrigation timing on simulated water crop production functions. Irrig Sci 18(1):23–31. doi:10.1007/s002710050041 CrossRef

Schmitz G, Woehling T, de Paly M, Schütze N (2007) GAIN-P: a new strategy to increase furrow irrigation efficiency. Arab J Sci Eng 32(1C):103–114

Schütze N, Schmitz GH (2010) OCCASION: a new planning tool for optimal climate change adaption strategies in irrigation. J Irrig Drain Eng. doi:10.1061/(ASCE)IR.1943-4774.0000266

Schütze N, de Paly M, Shamir U (2011a) Novel simulation-based algorithms for optimal open-loop and closed-loop scheduling of deficit irrigation systems. J Hydroinf. doi:10.2166/hydro.2011.073

Schütze N, Grundmann J, Schmitz HG (2011b) Prospects for Integrated Water Resources Management (IWRM) through the application of simulation-based optimization methods illustrated by the example of agricultural coastal arid regions in Oman. Hydrologie und Wasserbewirtschaftung 55(2):52–63

Semenov MA (2007) Development of high-resolution UKCIP02-based climate change scenarios in the UK. Agric For Meteorol 144(1–2):127–138. doi:10.1016/j.agrformet.2007.02.003, ISSN 0168-1923CrossRef

Semenov MA, Brooks RJ, Barrow EM, Richardson CW (1998) Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates. Clim Res 10(2):95–107CrossRef

Shang S, Mao X (2006) Application of a simulation based optimization model for winter wheat irrigation scheduling in north china. Agric Water Manage 85(3):314–322CrossRef

Shang S, Li X, Mao X, Lei ZD (2004) Simulation of water dynamics and irrigation scheduling for winter wheat and maize in seasonal frost areas. Agric Water Manage 68(2):117–133CrossRef

Siebert S, Nagieb M, Buerkert A (2007) Climate and irrigation water use of a mountain oasis in northern oman. Agric Water Manage 89(1–2):1–14CrossRef

Sinai G, Dalins BZ, Cohen D, Shamir U (2009) Design of irrigation water supply systems using the Q-C feasibility domain concept: I. Introduction and theory. Irrig Drain 58(1):50–60CrossRef

Singh R, Singh J (1997) Irrigation planning in wheat (Triticum aestivum) under deep water table conditions through simulation modelling. Agric Water Manage 33(1):19–29CrossRef

Soltani A, Hoogenboom G (2007) Assessing crop management options with crop simulation models based on generated weather data. Field Crops Res 103(3):198–207. doi:10.1016/j.fcr.2007.06.003, ISSN 0378-4290CrossRef

Sultanate of Oman (2005) Agricultural census. Technical report, Ministry of Agriculture and Fisheries, Director General of Planning and Investment Promotion, Department of Statistics and Information

Tao F, Hayashi Y, Zhang Z, Sakamoto T, Yokozawa M (2008) Global warming, rice production, and water use in China: developing a probabilistic assessment. Agric For Meteorol 148(1):94–110 doi:10.1016/j.agrformet.2007.09.012, ISSN 0168-1923CrossRef

Titel: Optimal planning and operation of irrigation systems under water resource constraints in Oman considering climatic uncertainty
verfasst von: Niels Schütze
Sebastian Kloss
Franz Lennartz
Ahmed Al Bakri
Gerd H. Schmitz
Publikationsdatum: 01.03.2012
Verlag: Springer-Verlag
Erschienen in: Environmental Earth Sciences / Ausgabe 5/2012
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-011-1135-4

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 5/2012

Institutionalising IWRM in developing and transition countries: the case of Mongolia

Drinking water production from surface water sources in the tropics: Brasília DF, Brazil

Dynamic downscaling of global climate projections for Eastern Europe with a horizontal resolution of 7 km

Spatial simulation of evapotranspiration of semi-arid Inner Mongolian grassland based on MODIS and eddy covariance data

Household needs and demand for improved water supply and sanitation in peri-urban ger areas: the case of Darkhan, Mongolia

Suspended sediments in the Kharaa River catchment (Mongolia) and its impact on hyporheic zone functions