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CELE Hydraulics & Fluid MechanicsHydrology and Water SupplySummary

The Hydrology and Water Supply chapter sits at position 10th in the CELE Hydraulics & Fluid Mechanics review, and it is a topic you cannot leave to exam week. Professional Regulation Commission (PRC) — Board of Civil Engineering's recent CELE papers show a clear preference for Hydrology and Water Supply questions that mix definition recall with applied problem-solving. This summary gives you the overview you need before diving into the full study notes.

Exam context

Professional Regulation Commission (PRC) — Board of Civil Engineering runs the Civil Engineer Licensure Examination on May and November 2026. Its Hydraulics & Fluid Mechanics section sits under a "Core" weighting, and Hydrology and Water Supply is the 10th chapter in the 10-chapter CELE Hydraulics & Fluid Mechanics rotation. The CELE passing mark is 70% weighted average, no sub-test below 50%, and the most recent 2026 paper drew about a meaningful share of questions from Hydraulics & Fluid Mechanics.

Hydrology and Water Supply - Summary

Hydrology and water supply engineering form the foundation of infrastructure design in the Philippines, where tropical climate patterns produce intense seasonal rainfall and variable streamflow. This chapter bridges hydrologic science—the movement of water through the environment—with practical engineering applications: sizing storm drains, designing reservoirs, and determining potable water demand. The rational method dominates PRC board exams for peak runoff calculation, while water-supply sizing depends on population demand forecasts and available sources (surface water or groundwater). Understanding these tools enables engineers to design systems that safely convey excess rainfall and reliably deliver sufficient clean water to communities. The Philippine context—characterized by monsoon patterns, high infiltration in some regions, and flashy mountain streams—demands careful application of these methods with local data.

Key Concepts

Water continuously moves through atmosphere, land, and subsurface in a closed loop: precipitation → interception (canopy/surface retention) → infiltration (entry into soil) or surface runoff → streamflow → evapotranspiration (evaporation from soil/water bodies plus plant transpiration) → atmosphere. In engineering terms, on any catchment, precipitation is partitioned into runoff (the portion reaching a stream or drainage system), infiltration, and storage. The runoff coefficient C quantifies this partition: runoff volume = C × precipitation × area. In the Philippines, monsoon rainfall is intense and seasonal; infiltration varies widely depending on soil type (clay-rich valley soils infiltrate less than volcanic uplands).

Concept

The Hydrologic Cycle

Importance

Essential foundation for understanding where design floods originate and how much water must be stored or conveyed. Board exams test understanding of how C, rainfall, and area interact.

A dimensionless factor (0 to 1) representing the fraction of rainfall that becomes runoff. Values depend on surface imperviousness and soil infiltration: lawns/natural areas 0.1–0.3; mixed urban 0.4–0.6; dense urban/pavement 0.75–0.95; roofs 0.75–0.95. For composite catchments (e.g., 40% pavement + 60% lawn), the weighted average applies: C_avg = 0.4(0.9) + 0.6(0.2) = 0.36 + 0.12 = 0.48. The remaining fraction (1 – C) is lost to infiltration, surface storage, and evaporation during the storm.

Concept

Runoff Coefficient C

Importance

Critical input to the rational method; the PRC often provides C or asks students to estimate it from land-use description. Incorrect C leads to grossly wrong discharge.

The time required for rainfall to travel from the farthest point in a catchment to the outlet. In practice, rainfall intensity from IDF curves is taken at duration t_c, because once a storm lasts at least t_c, the entire catchment contributes to runoff. Estimation methods include the kinematic-wave formula or the Philippines-specific velocity method (overland flow velocity ≈ 0.5 m/s, channel velocity ≈ 1–2 m/s). For small urban catchments typical of board problems, t_c often ranges 10–30 minutes. If a design storm is shorter than t_c, not all the catchment contributes.

Concept

Time of Concentration t_c

Importance

Fundamental to the rational method; selecting the correct t_c and then the corresponding i from IDF curves is where many students err. The board may ask you to estimate t_c or use a given value.

Peak runoff (design discharge) is calculated from Q = C × i × A / 360, where C is the runoff coefficient (dimensionless), i is rainfall intensity (mm/hr) at the design duration (= t_c), A is catchment area (hectares), and Q is discharge (m³/s). The factor 360 converts mm/hr and hectares to m³/s: 1 mm = 0.001 m; 1 ha = 10,000 m²; 1 hr = 3600 s; thus (0.001 m) × (10,000 m²) / (3600 s) = 10 m³ / 3600 s = 1/360 m³/s per mm/hr per ha. In base SI units (m, m², m³/s), no factor is needed: Q = C × i × A. The method is deterministic (not probabilistic) but is applied with design rainfall from a specified return period (e.g., 10-year, 25-year).

Concept

The Rational Method: Q = CiA/360

Importance

Single most-tested topic on the PRC board for hydrology. Must master the 360 factor, unit conversions (km² to ha, mm to m), and intensity selection from IDF curves. Board problems often ask for Q given C, i, and A, or vice versa.

Empirical relationships showing how rainfall intensity varies with storm duration and return period (frequency). For a given return period (e.g., 5-year, 25-year), intensity decreases as duration increases: a 5-minute storm is more intense than a 60-minute storm. IDF data are specific to each location; the Philippines publishes IDF curves for major cities (Manila, Cebu, Davao, etc.) based on historical rainfall records. To use the rational method, you select the design return period (based on structure importance and acceptable risk), estimate t_c for your catchment, read i from the appropriate IDF curve at that t_c, and apply Q = CiA/360. Mismatching duration to t_c is a common error.

Concept

Rainfall Intensity-Duration-Frequency (IDF) Curves

Importance

Board exams may provide IDF curves or ask you to interpolate. Understanding the inverse relationship between duration and intensity is essential. The choice of return period affects design intensity and hence flood size; more critical structures use longer return periods.

Total water volume reaching a stream or drain from a storm is V = C × P × A, where P is rainfall depth (m or mm), A is area (m² or ha consistent with P), and C is the runoff coefficient. Example: a 120 mm storm on 12 km² with C = 0.45 gives V = 0.45 × 0.12 m × 12 × 10⁶ m² = 648 × 10³ m³ = 648 ML (megaliters) or 648,000 m³. This differs from peak discharge Q (m³/s); volume is total water, while Q is the maximum instantaneous rate. Volume is used for reservoir sizing and stormwater detention; peak discharge is used for channel/pipe sizing.

Concept

Runoff Volume Calculation

Importance

Complementary to the rational method. Board exams test volume for dam/pond design and detention basin capacity. Must distinguish volume (m³) from discharge (m³/s).

Design of water-supply infrastructure requires estimating total demand: average daily demand (ADD) = population × per-capita consumption (L/person/day). Typical Filipino standard: 150–200 L/person/day for urban areas (per NWRB or MWSS guidelines). Peak demands are multipliers of average: maximum day ≈ 1.3–1.5× ADD; peak hour ≈ 2–3× ADD (varies by code and consumer behavior). Conveyance pipes and treatment capacity are sized for the peak hour; storage (elevated tanks, reservoirs) must buffer the difference between steady inflow and fluctuating demand. For a town of 10,000 at 150 L/c/day: ADD = 1.5 million L/day = 1,500 m³/day ≈ 17.4 L/s average; max day ≈ 2,250 m³/day ≈ 26 L/s; peak hour (factor 2.5) ≈ 43.75 L/s.

Concept

Water-Supply Demand

Importance

Directly tested on the board. Students must distinguish average from peak and apply multipliers correctly. Source capacity and storage volume depend on these estimates.

Surface-water sources (rivers, reservoirs, lakes) capture runoff; capacity is determined by inflow (streamflow duration curve) versus demand. A reservoir is sized to store the shortfall when inflow is less than demand, using mass-balance analysis: required storage = cumulative (demand – inflow) when inflow < demand. Groundwater sources are wells; yield depends on aquifer properties and is estimated from well-hydraulics formulas (Theis, Jacob, or Dupuit equations). Drawdown (water level drop in well) is proportional to pumping rate and aquifer transmissivity. Safe yield is the sustainable rate without long-term depletion. In the Philippines, groundwater is critical in non-irrigable uplands; surface water (dams, rivers) in lowlands. The NWRB (National Water Resources Board) regulates allocation.

Concept

Water-Supply Sources: Surface Water and Groundwater

Importance

Board exams test basic reservoir mass-balance and simple well problems (drawdown, yield). Understanding source availability is essential for water-supply system design.

A catchment (or watershed) is the land area from which all rainfall drains toward a common outlet (stream gauge, dam, or stormwater inlet). Boundaries are determined from topographic divides (ridgelines). Area is measured in hectares (ha) or km² and is essential input to the rational method. Small catchments (<10 km²) are treated as having uniform C and i (rational method); larger basins often require subdivision or more sophisticated methods (e.g., unit hydrograph, HEC-HMS). Slope, shape, and orientation influence t_c and runoff characteristics. In the Philippines, DEM (digital elevation model) and GIS tools are increasingly used to delineate catchments; board exams may provide a sketch or ask you to estimate area from coordinates.

Concept

Catchment Area and Basin Delineation

Importance

Proper area measurement is foundational; errors here propagate to Q and V. Board problems often give area implicitly (e.g., "rectangular catchment 5 km long, 3 km wide") or explicitly.

Infiltration is the entry of water into soil; it is opposed by the runoff coefficient (C represents the fraction *not* lost to infiltration). Abstractions include infiltration, surface storage (depressions, puddles), and evaporation during the storm. Initial abstractions occur before significant runoff; for design purposes, they are lumped into C. In the Philippines, volcanic soils of the central Luzon plain and Visayas have high infiltration capacity (C ≈ 0.2–0.4); clay-rich deltaic soils lower (C ≈ 0.5–0.7); urban impervious areas near zero (C ≈ 0.9). The rational method implicitly assumes all abstractions are captured in C; more detailed analyses use the Green–Ampt or Horton infiltration models.

Concept

Infiltration and Abstractions

Importance

Conceptual understanding aids in selecting or justifying C values. Board exams rarely ask detailed infiltration calculations but may ask why C differs among catchments.

The rational method in practical units: Q (m³/s) = [C × i (mm/hr) × A (ha)] / 360. In pure SI: Q (m³/s) = C × i (m/s) × A (m²), no factor. Conversions: 1 km² = 100 ha; 1 ha = 10,000 m²; 1 mm/hr = 1/(3.6 × 10⁶) m/s ≈ 2.78 × 10⁻⁷ m/s; 1 ML = 10⁶ L = 1,000 m³. Board exams mix units: rainfall in mm, area in km² or ha, intensity in mm/hr, discharge in m³/s. The 360 factor is the conversion constant for the specific units; forgetting it is a classic error (common on PRC exams). Example: A = 5 km² = 500 ha; if you accidentally use 500 in Q = CiA, you get 5.56× too large a Q.

Concept

Unit Conversions in SI and Practical Units

Importance

Critical to avoid common pitfalls. Practice conversions repeatedly. Many students lose marks for unit errors or forgetting 360.

A T-year return period (e.g., 10-year, 25-year, 100-year) means the rainfall/flood has a 1/T probability of occurring in any given year (not guaranteed every T years). A 10-year storm has 63% probability of occurring within a 10-year design life; a 100-year storm has 39% probability in 50 years. Design choice reflects acceptable risk: minor drainage (parking lots) may use 5-year; residential areas 10–25-year; hospitals and critical infrastructure 50–100-year. The PRC board typically specifies the return period or leaves it to the engineer's judgment based on structure type. In the Philippines, NWRB and MWSS guidelines recommend 10–25-year for urban water-supply conveyance and 50–100-year for dam spillways.

Concept

Design Return Period and Risk

Importance

Understanding risk and return period is professional practice. Board exams test the concept and may ask for appropriate return period selection.

Important Points

  • The rational method Q = CiA/360 requires intensity i at duration = time of concentration t_c. Using intensity at the wrong duration invalidates the result.
  • The 360 factor is mandatory when i is in mm/hr, A is in hectares, and Q is in m³/s. Omitting it results in an answer ~360× too large.
  • Runoff coefficient C must be appropriate for the surface type; composite catchments require weighted averages (C_avg = Σ C_i × f_i, where f_i is the fraction of each surface type).
  • Runoff volume V = CPA (where P is rainfall depth in meters or mm, A is area consistent with P) differs fundamentally from peak discharge Q. Volume is used for storage; peak discharge for conveyance.
  • Water-supply design requires both average demand (for steady-state inflow/source adequacy) and peak demand (for pipe sizing and storage buffering). Peak-hour demand ≈ 2–3× average is typical in the Philippines.
  • IDF curves are location-specific and must be obtained for the site in question. Interpolation between curves is often necessary. Intensity always decreases with increasing storm duration.
  • Time of concentration t_c can be estimated via kinematic-wave formulas, velocity methods, or published correlations. For board problems, t_c may be given; if not, assume 10–20 minutes for small urban catchments.
  • Unit conversions are error-prone: always verify that C is dimensionless, i is in mm/hr, A is in ha, and Q comes out in m³/s. Intermediate steps in m³ (not L or ML) reduce confusion.
  • Reservoir sizing via mass-balance (inflow minus demand, cumulatively integrated) is a fundamental principle; spreadsheet solutions are common in practice.
  • Well yield and drawdown follow Theis or Jacob equations; the PRC board rarely demands detailed aquifer analysis but tests conceptual understanding of sustainable yield.
  • The Philippines' monsoon climate produces seasonal peaks in streamflow; winter-to-summer dry periods drive the need for large reservoirs and groundwater backup.
  • Common board errors: (1) forgetting 360; (2) using intensity at wrong duration; (3) unit mix-ups (km² vs ha vs m²); (4) confusing average and peak demand; (5) incorrect composite C calculation.

Chapter Objectives

  • Master the hydrologic cycle and quantify each component (precipitation, infiltration, runoff, evapotranspiration)
  • Apply the rational method correctly to calculate peak design discharge (Q = CiA/360 in SI units) and identify the time of concentration
  • Calculate runoff volume from storm rainfall using the runoff coefficient method
  • Design water-supply systems by estimating average and peak demands and selecting appropriate sources
  • Recognize common PRC board-exam pitfalls: the 360 factor, intensity duration matching, unit conversions, and demand multipliers
  • Solve numerical problems involving IDF curves, catchment analysis, and well/reservoir sizing

Concept Relationships

Concept Pair

Hydrologic Cycle and Runoff Coefficient C

Relationship

The runoff coefficient C quantifies the fraction of precipitation that becomes surface runoff (i.e., does not infiltrate, evaporate, or remain on the surface). The remainder (1 – C) represents losses via infiltration and abstraction. Together, they partition the hydrologic cycle into engineerable components: runoff (what we must convey) and losses (what we need not size for).

Concept Pair

Time of Concentration and IDF Curves

Relationship

Time of concentration t_c determines the duration at which to extract rainfall intensity from IDF curves. Once t_c is estimated, you read the intensity i from the IDF curve at that duration and return period, then apply Q = CiA/360. Mismatch between t_c and the duration at which i is read is a primary source of error.

Both use the runoff coefficient C but serve different purposes. Q = CiA/360 calculates instantaneous peak rate (m³/s) used for pipe/channel sizing. V = CPA calculates total water depth/volume (m³) used for storage (detention basin, reservoir) sizing. A storm may produce small peak discharge but large volume (long, gentle rain) or large peak but small volume (intense, brief storm).

Concept Pair

Rational Method (Peak Discharge) and Runoff Volume

Concept Pair

Design Return Period and Intensity Selection

Relationship

Choice of return period (10-year, 25-year, 50-year, etc.) determines which set of IDF curves (or which row of a multi-row IDF table) is used. Longer return periods yield higher intensities, hence larger design discharge and cost. Professional judgment and regulatory guidance (NWRB, MWSS) guide return-period selection by structure importance.

Concept Pair

Catchment Area and Runoff Calculations

Relationship

Accurate catchment delineation and area measurement are prerequisites for both Q and V. Area enters the rational method directly; errors in area propagate linearly to discharge and volume. A 5% area error yields 5% error in Q and V.

Concept Pair

Water-Supply Demand and Source Adequacy

Relationship

Average daily demand (ADD) must be met by average inflow from source (river, reservoir, or well). Peak demand (max day, peak hour) must be met by source plus storage (elevated tank, reservoir buffer). Source capacity (e.g., safe yield of well, mean annual streamflow) is compared against demand to determine feasibility and storage requirement.

Concept Pair

Infiltration and Runoff Coefficient

Relationship

Runoff coefficient C implicitly reflects infiltration capacity: high-infiltration soils (sandy, volcanic) have low C; low-infiltration soils (clay) or impervious surfaces (pavement) have high C. Knowledge of local soil types and geology informs C selection, especially for mixed catchments where composite C must be weighted.

Concept Pair

Reservoir Inflow and Storage

Relationship

Inflow hydrograph (or mean streamflow) versus demand determines required storage volume. When inflow < demand, storage must supply the gap; when inflow > demand, storage recharges. Long-term (annual) mass-balance determines steady-state reservoir operation; short-term (monthly/seasonal) variations require sizing the active storage.

Practical Applications

A 50 ha mixed-use catchment (30% roofs, 50% roads/pavement, 20% landscaping) requires a stormwater pipe to a creek. Engineer estimates C by weighted average: C = 0.3(0.85) + 0.5(0.80) + 0.2(0.25) ≈ 0.665. For a 25-year design storm, the local IDF curve gives i = 60 mm/hr at t_c ≈ 15 min. Peak discharge Q = (0.665)(60)(50) / 360 ≈ 5.54 m³/s. The pipe diameter is selected to convey 5.54 m³/s at safe velocity and headroom. In Manila, typical IDF curves for 25-year storms range 40–80 mm/hr depending on duration; a detailed pipe network may subdivide the catchment and route flows through retention basins before reaching the creek.

Application

Urban Stormwater Drainage Design

A commercial development on 8 ha must detain a 10-year storm to avoid overwhelming existing drainage. The catchment C ≈ 0.75 (mostly pavement, roofs, and minimal landscaping). A 60 mm rainfall (typical 10-year 24-hour storm in the Philippines) produces runoff volume V = 0.75 × 0.06 m × 8 × 10⁴ m² = 36,000 m³. If the site can discharge only 200 L/s (0.2 m³/s) to the creek (limited by available creek capacity), detention time is V / (0.2 m³/s × 3600 s/hr) ≈ 50 hours. A basin or pond sized for ~36,000 m³ capacity (e.g., 120 m × 100 m × 3 m deep) with controlled outfall ensures on-site detention. This is critical in Metro Manila where creeks often exceed design capacity during monsoons.

Application

Detention Basin and Stormwater Pond Sizing

A barangay of 8,000 residents currently uses 120 L/person/day (below the 150–200 L/c/day standard for urban areas). Current ADD = 8,000 × 120 = 960 m³/day ≈ 11.1 L/s. If demand is upgraded to 150 L/c/day as living standards improve, ADD = 1,200 m³/day = 13.9 L/s; max day (factor 1.4) = 1,680 m³/day ≈ 19.4 L/s; peak hour (factor 2.5) = 3,000 m³/day ≈ 34.7 L/s. The water-supply pipeline must be sized for 34.7 L/s (or larger for growth), an elevated tank for ~1,680 m³ (1.4× ADD to cover demand fluctuation over 24 hours), and a source (well or surface intake) yielding at least 20 L/s average (allowing for peaking and losses). In remote areas like mountain barangays, groundwater (hand-dug or tube wells) may provide 2–5 L/s each; multiple wells may be required.

Application

Water-Supply System Design and Demand Forecasting

A farmer in Pangasinan wants to store dry-season runoff from a 2 km² hillside catchment for irrigation. Rainfall in monsoon months (Jun–Oct) averages 1,500 mm; the catchment C ≈ 0.4 (mixed forest, grassland, exposed soil). Monsoon runoff volume ≈ 0.4 × 1.5 m × 2 × 10⁶ m² = 1.2 × 10⁶ m³ = 1,200 ML. Dry-season irrigation demand is 2 ML/day for 120 days = 240 ML. Required storage ≈ 240 ML (gross storage must be larger to account for evaporation losses ~10%, seepage ~5%, and dead storage ~10%, so ~330 ML total). A pond 300 m × 200 m × 5.5 m average depth ≈ 330 ML is feasible on flat valley land. Peak inflow during monsoon is calculated via rational method if t_c ≈ 2 hours (hillside catchment): Q ≈ (0.4)(80 mm/hr)(200 ha) / 360 ≈ 17.8 m³/s at peak; spillway must pass this without overtopping.

Application

Small-Scale Reservoir (Farm Pond) Design

A water utility proposes a deep well in Pampanga to supplement surface-water supply during dry season. A test pumping at 15 L/s (0.015 m³/s) causes drawdown of 2 m in 1 hour. Using simplified analysis (assumption: steady-state or brief-duration test), the transmissivity T and storativity S of the aquifer can be estimated via Theis or Jacob curves. If the safe yield (drawdown <5 m) corresponds to 20 L/s, this well can provide supplemental supply during low-flow months. Multiple wells may be required if single-well yield is insufficient. In alluvial plains (Pampanga, Nueva Ecija), aquifer yields are typically 10–50 L/s; in volcanic rock areas, 5–15 L/s is common.

Application

Groundwater Well Yield Assessment

A municipality in Quezon province wants to delineate flood-prone areas for land-use planning. Historical flood extents and hydraulic modeling (using rational-method peak discharge) are combined. A catchment of 120 km² draining toward the town (C ≈ 0.55 mixed urban–agricultural) has t_c ≈ 90 minutes. For a 25-year storm, i ≈ 50 mm/hr (from regional IDF curves). Peak discharge Q = (0.55)(50)(1,200 ha) / 360 ≈ 91.7 m³/s. This discharge is routed through the river valley using Manning's equation or HEC-RAS software to determine flood depth and extent. Areas with simulated depth >1 m are classified as high-hazard zones; 0.3–1 m as moderate; <0.3 m as low. Zoning restrictions (no ground-floor residences, elevated structures, etc.) reduce risk.

Application

Flood Hazard Mapping and Zoning

A provincial road crossing a creek in Ilocos region must be designed to pass the design flood. The catchment upstream of the crossing is 15 km², C ≈ 0.50 (slopes 25–50%, partial forest, exposed ridges). Estimated t_c ≈ 50 minutes. For a 50-year return period, IDF curves (specific to Ilocos) give i ≈ 55 mm/hr at 50-min duration. Peak discharge Q = (0.50)(55)(150 ha) / 360 ≈ 11.5 m³/s. The bridge or culvert must accommodate 11.5 m³/s without excessive headwater rise (typically <0.5 m for smooth passage). Culvert diameter/area is selected via Manning's equation; if too small, water backs up and floods the approach road or inundates the roadway.

Application

Bridge and Culvert Design

A potential run-of-river (RoR) hydroelectric site is evaluated. The catchment (85 km², t_c ≈ 3 hours) has mean annual precipitation 2,500 mm, runoff coefficient C ≈ 0.45 (tropical forest with steep slopes). Mean annual runoff ≈ 0.45 × 2.5 m × 85 × 10⁶ m² ≈ 95.6 × 10⁶ m³/year. Mean discharge ≈ 3.04 m³/s. For design, the flow-duration curve (showing how often each discharge is exceeded) is required. RoR turbines typically operate at 40–60% of mean flow (to ensure continuous operation during low-flow months). Capacity ≈ 0.5 × 3.04 = 1.52 m³/s. With a 50 m head, power ≈ ρ g Q H ≈ (1000)(9.81)(1.52)(50) ≈ 745 kW ≈ 0.75 MW (before efficiency losses). Seasonal variation and dry-season low flows are critical design constraints.

Application

Hydropower Feasibility Study

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In summary

Hydrology and water supply are inseparable from civil engineering practice. The rational method, despite its simplicity, remains the industry standard for peak runoff from small and moderate catchments and is the dominant board-exam tool. Success depends on mastering the 360-factor conversion, correctly estimating the runoff coefficient and time of concentration, and extracting intensity from location-specific IDF curves at the correct duration. Equally important is distinguishing runoff volume (for storage) from peak discharge (for conveyance), and understanding how water-supply demand (average, max day, peak hour) drives source selection and sizing. In the Philippine context—with monsoon rainfall, diverse terrain, and rapid urbanization—these methods enable engineers to design systems that protect communities from flooding and provide reliable, adequate clean water. Board-exam preparation should emphasize worked numerical problems with careful attention to units, step-by-step rational-method application, and common pitfalls (the 360 factor, unit conversions, and demand multipliers). Mastery of this chapter is foundational to licensure.

Next steps

To consolidate learning and prepare for the PRC board examination: (1) Solve at least 15–20 rational-method problems with varied catchment sizes, C values, and return periods, paying strict attention to the 360 factor and unit conversions. (2) Obtain or download IDF curves for 2–3 Philippine cities (Manila, Cebu, Davao) and practice intensity interpolation at different durations. (3) Work through 5–10 water-supply demand problems, calculating ADD, max-day, and peak-hour demands for different population sizes and per-capita consumptions. (4) Tackle 3–5 runoff-volume problems and reservoir/detention-basin sizing exercises. (5) Study composite runoff coefficient calculations for mixed catchments with different surface types. (6) Review 5–10 previous PRC board exam questions on this topic (available from PRC, CIEP, or review centers), noting common formats and pitfalls. (7) Collaborate with study groups to solve problems collaboratively, discuss the reasoning behind C and t_c estimates, and build confidence in unit conversions. (8) Practice quick mental checks: Is Q in m³/s? Did I use 360? Is intensity at t_c, not at some other duration? These habits prevent careless errors on the actual exam.

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