Irrigation systems55.1 <strong>Water</strong> flows <strong>in</strong> irrigation systemsIrrigated <strong>rice</strong> fields are characterized by large volumesof outflows by surface dra<strong>in</strong>age, seepage, andpercolation (Chapter 1.3). Although these outflowsare losses from an <strong>in</strong>dividual field, there is greatscope for reuse of these flows with<strong>in</strong> a landscapethat consists of many <strong>in</strong>terconnected fields (Fig.5.1). Surface dra<strong>in</strong>age and seepage water usuallyflow <strong>in</strong>to downstream fields and the loss of onefield is the ga<strong>in</strong> of another. At the bottom of atoposequence, these flows enter dra<strong>in</strong>s or ditches.However, farmers can use small pumps to lift waterfrom dra<strong>in</strong>s to irrigate fields that are <strong>in</strong>adequately,or not, serviced by irrigation canals. In many irrigationsystems <strong>in</strong> low-ly<strong>in</strong>g deltas or flood pla<strong>in</strong>swith impeded dra<strong>in</strong>age, the cont<strong>in</strong>uous percolationof water (from fields, but also from canals) has createdshallow groundwater tables close to the surfacethat may directly provide the <strong>rice</strong> crop with water(Chapter 1.4). Aga<strong>in</strong>, farmers can either directlypump water up from the shallow groundwater orpump groundwater when it becomes surface wateras it flows <strong>in</strong>to creeks or dra<strong>in</strong>s.Irrigation channelSDDDDra<strong>in</strong>age channelPPPSPSPSGroundwater<strong>in</strong>flowPumpPumpGroundwateroutflowFig. 5.1. Surface and subsurface water flows across a toposequence of <strong>rice</strong> fields. D = dra<strong>in</strong>age (overbund flow), I = irrigation,P = percolation, S = seepage.39
<strong>Water</strong> reuse (10 6 m 3 )100908070605040302010005,000 10,000 15,000 20,000Area (ha)y = 0.0046x + 0.8885R 2 = 0.9049y = 0.0013x + 1.1412R 2 = 0.9174Fig. 5.2. Volume of reuse of surface water by check dams( ) and by groundwater pump<strong>in</strong>g ( ) versus spatial scale <strong>in</strong>District I of UPRIIS. The l<strong>in</strong>es are l<strong>in</strong>ear regressions. Datafrom Hafeez (2003).<strong>Water</strong> productivity (g gra<strong>in</strong> kg –1 water)0.200.180.160.140.120.100.080.060.040.020.000y = (7 × 10 –6 )x + 0.0561R 2 = 0.8465,000 10,000 15,000 20,000Area (ha)Fig. 5.3. <strong>Water</strong> productivity (WP IR; g <strong>rice</strong> gra<strong>in</strong>s kg –1 watersupplied (irrigation plus ra<strong>in</strong>fall)) versus spatial scale <strong>in</strong>District I of UPRIIS. The l<strong>in</strong>e is a l<strong>in</strong>ear regression. Theabsolute values of WP IRare low (compare with values <strong>in</strong>Chapter 1.5) because a lot of water still flows out of the area(dra<strong>in</strong>age water) but is reused by downstream irrigators. Datafrom Hafeez (2003).Recent studies of <strong>rice</strong>-based irrigation systems<strong>in</strong> Ch<strong>in</strong>a and the Philipp<strong>in</strong>es <strong>in</strong>dicate that manywater performance <strong>in</strong>dicators (such as water productivity,fraction of applied water used by the crop)improve with <strong>in</strong>creas<strong>in</strong>g spatial scale because of thereuse of water (Hafeez 2003, Loeve et al 2004a,b).Much of this reuse is done <strong>in</strong>formally by farmerswho take their own <strong>in</strong>itiative to pump water, blockdra<strong>in</strong>age waterways, or construct small on-farm reservoirsfor secondary storage. Most of these farmersare found <strong>in</strong> tail-end portions of irrigation systemswhere water does not reach because too much wateris lost upstream (e.g., by upstream farmers tak<strong>in</strong>gtoo much water, by canal seepage losses, and byoperational losses). Hafeez et al (2007) reportedquantitative data on water reuse on 18,000 ha ofDistrict I of the <strong>rice</strong>-based Upper Pampanga RiverIntegrated Irrigation System (UPRIIS) <strong>in</strong> CentralLuzon, Philipp<strong>in</strong>es. A total of 16 check dams werefound for reuse of surface dra<strong>in</strong>age water, and12% of all farmers owned a pump for groundwaterextraction. In the whole study area, 57% of all availablesurface water was reused by the check damsand 17% through pump<strong>in</strong>g. The amount of waterpumped from the groundwater was about 30% ofthe groundwater recharge by percolation from <strong>rice</strong>fields. Figure 5.2 shows that the amount of waterreused by the check dams and by pump<strong>in</strong>g <strong>in</strong>creasedwith spatial scale (because, with <strong>in</strong>creas<strong>in</strong>g scale,the options for reuse <strong>in</strong>crease). Because of this<strong>in</strong>crease <strong>in</strong> water reuse with <strong>in</strong>creas<strong>in</strong>g scale, thewater productivity <strong>in</strong>creased with spatial scale aswell (Fig. 5.3).Although water can be efficiently reused thisway, it does, however, come at a cost, especiallyto downstream farmers. The current debate on theimprovement of irrigation systems focuses on therelative benefits and costs of system modernizationvis-à-vis those of <strong>in</strong>ternal and (mostly <strong>in</strong>formal)reuse of water. System modernization aims to improvethe irrigation system delivery <strong>in</strong>frastructureand operation scheme to supply each farmer withthe right amount of water at the right time. Ga<strong>in</strong>s<strong>in</strong> water productivity are possible by provid<strong>in</strong>gmore reliable irrigation supplies, for example,through precision technology and the <strong>in</strong>troductionof on-demand delivery of irrigation supplies (e.g.,Gleick 2000, Rosegrant 1997). The argument isthat when farmers have control over tim<strong>in</strong>g andamount of water supplies to their farm, they neednot take their turn <strong>in</strong> a fixed rotational scheduleof deliveries if the soil is still wet from ra<strong>in</strong>fall.Match<strong>in</strong>g system delivery and field-level demandneeds further research, as optimal schedul<strong>in</strong>g ofirrigations is difficult when a large part of the cropwater requirement is met from ra<strong>in</strong>fall. This isespecially true <strong>in</strong> large irrigation systems with aconsiderable time lag between diversion of waterat the source (river or reservoir) and its arrival atthe farmer’s gate. In some parts of Ch<strong>in</strong>a, although40
- Page 2: Water Management in Irrigated Rice:
- Page 5 and 6: PrefaceWorldwide, about 79 million
- Page 8 and 9: Fig. 1.2. Water balance of a lowlan
- Page 10 and 11: given in Table 1.1. Water losses by
- Page 14 and 15: Distribution (%)1009080706050403020
- Page 16 and 17: The plant-soil-water system22.1 Wat
- Page 18 and 19: Ψ Air-100 MPaDemandLeafXylemStemRo
- Page 20: tive to water deficit than cell enl
- Page 23 and 24: Water input (mm)4003503002502001501
- Page 25 and 26: Table 3.1b. Yield, water input, and
- Page 27: Grain yield (t ha -1 )98A2002 20037
- Page 30 and 31: Table 3.5. Water input (I = irrigat
- Page 32 and 33: Practical implementationTemperate e
- Page 34 and 35: Practical implementationSpecific in
- Page 36 and 37: Table 3.8. Comparison of water use
- Page 38: Flooded yield (t ha -1 )87A65432102
- Page 41 and 42: consumption (Hamilton 2003). Many t
- Page 46 and 47: the main system is supply-driven, f
- Page 48 and 49: Table 5.1. Area, water use, and tot
- Page 50 and 51: Appendix: InstrumentationDetailed d
- Page 52: 0.5 cm in diameter and spaced 2 cm
- Page 55 and 56: Bronson KF, Singh U, Neue HU, Abao
- Page 57 and 58: Lampayan RM, Bouman BAM, De Dios JL
- Page 59: Uphoff N. 2007. Agroecological alte