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ClimateChange Assessment Guide.pdf - University of Waterloo

ClimateChange Assessment Guide.pdf - University of Waterloo

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<strong>Guide</strong> for <strong>Assessment</strong> <strong>of</strong> Hydrologic Effects <strong>of</strong> Climate Change in Ontario54could result in under-estimation <strong>of</strong> future run<strong>of</strong>f,recharge and streamflow. It is recommended that anyhydrologic model used for climate change impactassessment should have the ability to track soil watercontent and limit evapotranspiration rates based on soilwater content.Guidance:Hydrologic models used should have theability to track soil water content and limitevapotranspiration rates based on soil watercontent.6.2.2.2.3 InfiltrationInfiltration is the amount <strong>of</strong> precipitation that entersthe top <strong>of</strong> the soil column. When precipitation exceedsthe infiltration rate <strong>of</strong> the soil, overland run<strong>of</strong>f occurs.Infiltration is affected by soil structure, land cover andwater content <strong>of</strong> the soil.Climate-related variations in infiltration rates are relevantto climate change impact analysis. Seasonal shifts ininfiltration, due to the freezing and thawing <strong>of</strong> surficialsoils, can dramatically alter the soil infiltration rate.Under existing climate conditions, frozen soil conditionsprevalent throughout the winter months in Ontariogreatly reduce infiltration rates and promote overlandrun<strong>of</strong>f. As soils thaw during the spring, infiltrationrates increase, resulting in less overland run<strong>of</strong>f andmore recharge. A major impact <strong>of</strong> climate changeon water resources is expected to be a reduction inthe prevalence <strong>of</strong> frozen ground conditions, with acorresponding increase in winter infiltration capacities.The ability <strong>of</strong> a hydrologic model to represent thisshift will be important in understanding the impacts <strong>of</strong>climate change.Water resource models account for the freezing andthawing <strong>of</strong> soils in one <strong>of</strong> two ways. The first methoduses seasonal adjustment factors which vary theinfiltration capacity <strong>of</strong> soils on a monthly or seasonalbasis. These adjustment factors are usually calibrated torepresent average freeze/thaw conditions and cannotrepresent freeze/thaw cycles that deviate from thataverage. The second method relies on the model tocontinually modify infiltration rates according to airtemperatures and possibly snowpack conditions. Thistemperature-based method typically tracks accumulatedfreezing degree-days and reduces infiltration parametersas specified thresholds are exceeded. When snowpackis considered, it is generally to increase or decreaseinfiltration depending upon the presence or absence <strong>of</strong>the pack.Models that rely on temperature-based and snowpackmethods to simulate monthly/seasonal infiltrationcapacity modifications are preferred to methods utilizinguser specified seasonal infiltration adjustments. Inaddition to being able to represent the thawing <strong>of</strong> soilsduring an event that deviates from the average (e.g.,January melt), the temperature-based method canautomatically account for the increased occurrence <strong>of</strong>unfrozen soils that would occur under a changed climatein Ontario.Methodologies relying on user specified seasonaladjustments can also be used for climate change impactassessments; however, the monthly/seasonal adjustmentfactors would have to be manually modified to reflectthe future climate for each possible climate scenario.For studies investigating a large number <strong>of</strong> climatescenarios, this may prove cumbersome and somewhatarbitrary.Guidance:Infiltration algorithms used in hydrologicmodelling should be sensitive to the onset andthawing <strong>of</strong> frozen ground, especially as theseconditions are altered by climate change.6.2.2.2.4 Snow Accumulation and MeltingSnowmelt is a key process for Ontario watersheds. Thespring snowmelt period usually produces the majority<strong>of</strong> overland run<strong>of</strong>f; it is one <strong>of</strong> the major groundwaterrecharge periods. Any hydrologic model assessing theimpact <strong>of</strong> climate change within Ontario must havethe ability to simulate snow accumulation and meltingprocesses.

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