NRCS Farm Irrigation Rating Index History and Use By Clare Prestwich Irrigation Engineer NRCS National Water and Climate Center United States Department of Agriculture NRCS Natural Resources Conservation Service The Need • A uniform and objective evaluation method for planning irrigation water conservation • Method of documenting present water use as well as the effects of changes made by improving both irrigation system and management • Reduce the need for difficult and time consuming complete seasonal field evaluations United States Department of Agriculture NRCS Natural Resources Conservation Service The Process • Multidisciplinary team was formed from several western states and a national committee • Basic data and procedures originated as a result of a west wide water conservation emphasis program during the 1980’s United States Department of Agriculture NRCS Natural Resources Conservation Service The Results • Farm Irrigation Rating Index (FIRI) • Assist Offices – Plan water management improvements – Estimate water conserved by improved management – Estimate the runoff and deep percolation – Provide a tool for follow up and document accomplishment in water management United States Department of Agriculture NRCS Natural Resources Conservation Service What it is not • Replacement for on site evaluations • A finite farm or field application efficiency, or specific deep percolation and runoff amounts United States Department of Agriculture NRCS Natural Resources Conservation Service What it is • A procedure for comparing improvements or changes – Year to year – Field, Farm and project level • Relative rating • A season long evaluation not a single event • Composed of three elements – Management – System – Potential efficiency United States Department of Agriculture NRCS Natural Resources Conservation Service Management • Water management is the human element. Decisions scientifically based, knowledge to operate the system, and maintenance performed. • The management element is defined by 6 factors – – – – – – Water measurement Soil moisture monitoring and scheduling Irrigation skill Maintenance Water delivery constraint Soil Condition United States Department of Agriculture NRCS Natural Resources Conservation Service System Element • Factors selected according to irrigation type • System element is defined by nine factors – – – – – – – – – Water distribution control Conveyance efficiency Land leveling Climatic Sprinkler design Wind Tail water reuse Emitter clogging Trickle design United States Department of Agriculture NRCS Natural Resources Conservation Service Potential Efficiency Element • A measure of the optimum application efficiency for the method of irrigation being used • Values based on full canopy cover and systems are well designed and maintained. United States Department of Agriculture NRCS Natural Resources Conservation Service Default Potential Efficiencies United States Department of Agriculture NRCS Natural Resources Conservation Service Management Factors Water Measurement Factor United States Department of Agriculture NRCS Natural Resources Conservation Service Irrigation Skill and Action Factor Soil Moisture/Scheduling Factor Water Delivery Factor Maintenance Factor United States Department of Agriculture NRCS Natural Resources Conservation Service Soil Condition Factor System Factors for all Systems Water Distribution Control Factor Conveyance Efficiency Factor United States Department of Agriculture NRCS Natural Resources Conservation Service United States Department of Agriculture NRCS Natural Resources Conservation Service Sprinkler System Factors Climate Factor Sprinkler Design Factor United States Department of Agriculture NRCS Natural Resources Conservation Service Wind Factor Surface System Factors Land Leveling Factor United States Department of Agriculture NRCS Natural Resources Conservation Service Tail water reuse factor United States Department of Agriculture NRCS Natural Resources Conservation Service Micro System Factors Trickle Design Factor Emitter Clogging Factor United States Department of Agriculture NRCS Natural Resources Conservation Service Climate Factor Wind Factor Rating Index FIRI PE SYS MGT SYS Wc Ce L R Wc Ce C W Sd Surface Systems Sprinkler System Wc Ce C W T E MGT M d S I M D Sc United States Department of Agriculture NRCS Natural Resources Conservation Service Micro System Very easy to put into a program United States Department of Agriculture NRCS Natural Resources Conservation Service Or spreadsheet United States Department of Agriculture NRCS Natural Resources Conservation Service FIRI use • Use extensively during the 1994 Irrigation induced erosion survey • Project ranking and comparison for NRCS programs (e.g. EQIP, CSP) United States Department of Agriculture NRCS Natural Resources Conservation Service Example Pasture irrigated by uncontrolled flood with 3000ft of earth ditch on sandy loam soil. Water delivered on a18 day rotation limited rate United States Department of Agriculture NRCS Natural Resources Conservation Service Present condition • Potential Efficiency - 50 • Management – No water measurement .9 – Schedules based on Plant indicators .94 – Irrigation Skill – Lacks full attention – Maintenance – good .98 – Water Delivery – fix rotation limited rate .85 – Soil Condition – conservation tillage .98 United States Department of Agriculture NRCS Natural Resources Conservation Service Present Condition • System – – – – Control at - Farm delivery .94 Conveyance – 3000ft earth ditch .91 Unleveled fields - .82 No tail water reuse -1.0 • MGT= .9 x .94 x .96 x .98 x .85 x .98 = .663 • SYS = .94 x .91 x .82 x 1 =.701 • FIRI = 50 x 0.663 x 0.701 = 23.3 United States Department of Agriculture NRCS Natural Resources Conservation Service Future • Operator wants to change to a graded furrow system with land leveled fields and tail water reuse. Ditch replaced with gated pipe United States Department of Agriculture NRCS Natural Resources Conservation Service Future Condition • Potential Efficiency – change to graded furrow 50 to 75 • Management changes – Add measuring device .90 to .96 – Scheduling - no change .94 – Irrigation skill - follows plan .96 to 1 – Maintenance - no change .98 – Delivery - no change .85 – Soil tillage - no change .98 United States Department of Agriculture NRCS Natural Resources Conservation Service Future Condition • System – – – – Control – change to each set .94 to 1 Conveyance – change to gated pipe .91 to .99 Land – change to laser level .82 to 1 Add tail water reuse – change 1 to 1.08 • MGT = .96 x .94 x 1 x .98 x .85 x .98 = .737 • SYS = 1 x .99 x 1 x 1.08 = 1.069 • FIRI = 75 x 0.737 x 1.069 = 59.1 United States Department of Agriculture NRCS Natural Resources Conservation Service Compute the water conserved • Water conserved with seasonal net irrigation of 2 ac-feet/ac Present 2 8.6 Ac-ft / ac .233 United States Department of Agriculture NRCS Natural Resources Conservation Service Future 2 3.4 Ac-ft / ac .591 Guide lines for deep percolation and runoff United States Department of Agriculture NRCS Natural Resources Conservation Service Problems • Management Section has greatest weight – More subjective to the person doing rating • NRCS required to report water saved or conserved – FIRI rating taken as actually efficiency – More water saved than available • Most states restrict water rights to 4 to 5 ac-ft/ac – From our example • 8.6-3.4= 5.2 ac-ft/ac saved United States Department of Agriculture NRCS Natural Resources Conservation Service Possible changes • Update Potential Efficiencies • Add systems like LESA, MESA, SDI, etc. • Update Management factors to reflex current Technology – Soil moisture/scheduling Flow measurement, etc. • Change computation method from straight multiplication to a statistical method. United States Department of Agriculture NRCS Natural Resources Conservation Service • Original method – PE x f1 x f2….x Fn • Proposed method – PE x (1-sqrt((1-f1)2+(1-f2)2….+(1-fn)2)) • The multiplication approach essentially assumes a worst case scenario where each influence has full weight regardless of the other factors • The Statistical approach recognizes that if one condition is poor, that the influence of another variable is not as great as it would be if it were the only problem. United States Department of Agriculture NRCS Natural Resources Conservation Service Comparison of the two methods United States Department of Agriculture NRCS Natural Resources Conservation Service Value of FIRI • Still an Effective tool • Quick, uniform and provides reasonable comparisons • Users need to be realistic – Better input gives better comparison – Not meant for black box use • Still a relative value United States Department of Agriculture NRCS Natural Resources Conservation Service