This document provides a solution to a hydrology problem using the Rational Method. The key details are:
1) The problem involves calculating the withdrawal rate from a reservoir given inflow, seepage loss, precipitation, evaporation, and change in storage over a period.
2) The calculations involve determining the inflow (Qin), outflow (Qout), and change in storage (ΔS) over the period using the provided data.
3) The withdrawal rate is then calculated as the difference between inflow, outflow, and change in storage. The final withdrawal rate is calculated to be 10.11 m3/s.
In this ppt I present a method to estimate how much stormwater a catchment
area will produce, and how a drain can be sized to remove this water.
This method can be used to design a simple drainage system, or to determine
whether a proposed drainage system is realistic.
2011 liongson-modeling studies flood control dams-professorial chair lectureleony1948
HYDROLOGICAL MODELING STUDIES FOR PROPOSED FLOOD-CONTROL DAMS IN THE MARIKINA RIVER BASIN
Leonardo Q. Liongson
Team Energy Professorial Chair
& Professor, Institute of Civil Engineering and National Hydraulic Research Center, University of the Philippines, Diliman, Quezon City, Philippines
Abstract
Tropical Storm Ondoy (Ketsana) crossed Metro Manila and the adjacent river basins in a late wet-season episode of 2009, starting in the evening of September 25, 2009 and continuing into the next day of September 26, 2009. TS Ondoy brought very intense and heavy rainfall to the region - record amounts of rains fell over a very short time period of 12 hours to 24 hours, which are estimated to occur at an average annual frequency of 1 in 100 years or even higher, depending on the measuring location in the region. The rains generated record-magnitude flood flows and inundation in the Pasig-Marikina River Basin in Metro Manila, and the Laguna de Bay region. This paper describes the application of the distributed watershed rainfall-runoff model SWATCH in order to simulate the TS Ondoy floods and other floods of lower return periods (2 years to 100 years) in the upper Marikina River Basin, using as input the spatially-interpolated rainfall network data and available topographic, soil/geology and river-geometry data. The SWATCH model consists of a tree-network of several variable rectangular surface/soil/aquifer storage nodes and overland/channel flow links, with accounting of soil moisture, evapotranspiration, infiltration, and recharge to groundwater, and routing of overland and channel flows, interflow and baseflow into aggregated total streamflows. Using the model-computed inflow flood hydrographs, the options of single or cascade of flood-control storage dams (with selected reservoir-storage and spillway capacities) for attenuation of floods peaks and volumes, and downstream flood hazard reduction are initially evaluated by flood-routing studies.
In this ppt I present a method to estimate how much stormwater a catchment
area will produce, and how a drain can be sized to remove this water.
This method can be used to design a simple drainage system, or to determine
whether a proposed drainage system is realistic.
2011 liongson-modeling studies flood control dams-professorial chair lectureleony1948
HYDROLOGICAL MODELING STUDIES FOR PROPOSED FLOOD-CONTROL DAMS IN THE MARIKINA RIVER BASIN
Leonardo Q. Liongson
Team Energy Professorial Chair
& Professor, Institute of Civil Engineering and National Hydraulic Research Center, University of the Philippines, Diliman, Quezon City, Philippines
Abstract
Tropical Storm Ondoy (Ketsana) crossed Metro Manila and the adjacent river basins in a late wet-season episode of 2009, starting in the evening of September 25, 2009 and continuing into the next day of September 26, 2009. TS Ondoy brought very intense and heavy rainfall to the region - record amounts of rains fell over a very short time period of 12 hours to 24 hours, which are estimated to occur at an average annual frequency of 1 in 100 years or even higher, depending on the measuring location in the region. The rains generated record-magnitude flood flows and inundation in the Pasig-Marikina River Basin in Metro Manila, and the Laguna de Bay region. This paper describes the application of the distributed watershed rainfall-runoff model SWATCH in order to simulate the TS Ondoy floods and other floods of lower return periods (2 years to 100 years) in the upper Marikina River Basin, using as input the spatially-interpolated rainfall network data and available topographic, soil/geology and river-geometry data. The SWATCH model consists of a tree-network of several variable rectangular surface/soil/aquifer storage nodes and overland/channel flow links, with accounting of soil moisture, evapotranspiration, infiltration, and recharge to groundwater, and routing of overland and channel flows, interflow and baseflow into aggregated total streamflows. Using the model-computed inflow flood hydrographs, the options of single or cascade of flood-control storage dams (with selected reservoir-storage and spillway capacities) for attenuation of floods peaks and volumes, and downstream flood hazard reduction are initially evaluated by flood-routing studies.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
1. SOLUTION TO QUESTION
Data given:
Inflow = 0.5 Mm3/day
Seepage loss, G = 2.5 cm
Precipitation, P = 18.5 cm
Evaporation, E = 9.5 cm
ΔS = -0.75m
Qin = PA+inflow
= (18.5cm/100) m x 1375 x 104m2/106
+ 0.5 x 106 Mm3/day x 30day
= 17. 543 Mm3
Qout = (2.5 + 9.5)/100x1375 x 104m2/106
=1.65 Mm3
ΔS = -0.75m x 1375 104 /106 m2
= -10.31 Mm3
Withdrawal = Qin- Qout – ΔS = 26.203 Mm3
Withdrawal rate
= 26.203 x 106/(30x24x3600) = 10.11 m3/s
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2. CONCEPT AND MEASUREMENT OF
WATERSHED
ERT257 HYDROLOGY AND WATER RESOURCES ENGINEERING
Mrs Siti Kamariah Md Sa’at
FTKK
UniMAP
3. WATERSHED
A basin, drainage or
catchment area that is the
land area that contributes
runoff to an outlet point
Outlet point
Watershed
boundary
4. WATERSHEDS
Area of land draining into a stream at a given location. In US called
watershed.
Also known as Catchment, Catchment area, Catchment basin, Drainage area,
River basin, Water basin
Rainfall that falls in a watershed will generate runoff to that watershed outlet.
Topographic elevation is used to define a Watershed boundary (land survey
or LIDAR)
Scale is a big issue for analysis
9/5/2021 ADD A FOOTER 4
5. We all live in a watershed!
Area of land from which all
water drains, running downhill, to
a shared destination - a river,
pond, stream, lake, or estuary
6. FUNCTIONS
Captures precipitation – its characteristics influence how much is
captured
Stores water once it infiltrates into soil (important to plants)
Slowly releases water into streams, rivers, oceans
7. WHY ARE WATERSHEDS IMPORTANT?
Activities within a watershed impact runoff and water quality of water leaving
the watershed
Must manage at a watershed level rather than other boundaries to attain
goals related to runoff and water quality
8. TYPES OF WATERSHED
•Forested watershed
•Urban watershed
•Agricultural watershed
•Rural watershed
•Coastal/swamp/desert watershed
•Combination of above
9/5/2021 ADD A FOOTER 8
9. HYDROLOGIC ANALYSIS
Two important hydraulic parameters in hydrologic analysis
– Outfall/drainage outlet,
i.e. the common point of discharge
– Watershed boundary
– any rain that falls within the boundary will be directed towards point of discharge
– Because of various nature of river system, a watershed may have any number of
sub-watershed within it
9/5/2021 ADD A FOOTER 9
12. WATERSHED SIZE
Watershed area (km2, ha)
Runoff generation on these watersheds can be considered in two phases:i) land
phase and ii) channel phase
Small watersheds (< 250 km2)
They have dominant land phase and overland flow, have relatively less conspicuous channel
phase.
They are highly sensitive to high-intensity, short-duration rainfalls.
Large watersheds (>250 km2)
They have well-developed channel networks and channel phase, and, thus, channel storage is
dominant.
They are less sensitive to high-intensity rainfalls of short duration.
9/5/2021 ADD A FOOTER 12
13. WATERSHED SLOPES
The slope govern how fast water will drain to the channel
• steep slopes - peaked hydrograph
• gentle slopes - flat hydrograph
• Consider the average gradient of hill slopes
(slope: vertical/horizontal distance)
• Formula for land slope, S:
Where:
L = total length of contours (m),
CI= contour interval (m)
A= watershed area (m2)
9/5/2021 ADD A FOOTER 13
14. • Important hydrologic
characteristic
• Elongated Shape
• Concentrated Shape
• Affects Timing and
Peak Flow
• Determined by geo -
morphology of stream
WATERSHED SHAPES
21. WHAT IS RUNOFF?
Runoff = draining or flowing off of precipitation from a catchment area through a
surface channel enters into stream channel.
Output from catchment in a given unit of time.
Based on the time delay between the precipitation and the runoff, the runoff is
classified into two categories; as
(a) Direct runoff : runoff which enters the stream immediately after the rainfall. It
includes surface runoff, prompt interflow and rainfall on the surface of the stream.
Direct storm runoff and storm runoff are also used to designate direct runoff.
(b) Base flow : The delayed flow that reaches a stream essentially as groundwater
flow is called base flow.
9/5/2021 21
23. FACTORS AFFECTING CATCHMENT RUNOFF
a) Precipitation characteristics
b) Shape and size of catchment
c) Topography
d) Geologic characteristics
e) Meteorological characteristics
f) Storage characteristics of a catchment
9/5/2021 ADD A FOOTER 23
26. RATIONAL METHOD
Used for determination of peak flow rate
Assumption: A constant intensity of rain uniformly distributed over an area
maximum runoff: occur when the rainfall duration equals the time of
concentration
For small size (<50 km2) catchments
This not cover what is MSMA (Manual Saliran Mesra Alam Malaysia)/Urban
Stormwater Management Manual.
27. RATIONAL METHOD
The maximum possible flow generated by rainfall event of a watershed
• Knowledge of Qp is required for drainage design to avoid/minimize project
from flooding
• Rational method: is a prediction method and based on characteristics of
watershed and rainfall
Assumptions:
• Waters is small (<200 acres)
• Peak flow occurs when the entire area is contributing
• Rainfall intensity is uniform over a time of concentration
• A rational coefficient represent rainfall:runoff ratio
9/5/2021 ADD A FOOTER 27
28. RATIONAL METHOD
Standard Rational Method
Qp = C i A
Where
Qp=peak discharge
C=coefficient of runoff
i = mean intensity of precipitation for
duration equal to tc
A=drainage area
To compute Qp, requires tc,i and C
Rational runoff Coefficient, C
– Defined as the rate of rainfall over a
watershed
to rate of runoff from that watershed
– The value is highly dependent on
land use and
slope (Table)
31. RUNOFF COEFFICIENT
Coefficient that represents the fraction of runoff
to rainfall
Depends on type of surface
When a drainage area has distinct parts with
different coefficients…
Use weighted average
A
A
C
..
A
C
A
C
C
i
n
n
2
2
1
1
Σ
+
…
+
+
=
35. TIME OF CONCENTRATION (TC)
Time for water to flow from hydraulically most distant
point on the watershed to the point of interest
Assumes peak runoff occurs when i lasts as long or longer
than tc
36. TIME OF CONCENTRATION, TC
For other catchment, use Kirpich Equation (1940)
tc=0.01947 L0.77S-0.385
where
tc in min
L= maximum length of travel time in m
S= slope catchment = ∆H/L
∆H = difference of elevation between the most remote point on the catchment
and the outlet
37. TIME OF CONCENTRATION, TC
Sometimes its written as
tc= 0.01947 K1
0.77
Where K1=
L = max length of travel (m)
∆H = different of elevation
H)
/
(L3
∆
39. TIME OF CONCENTRATION (TC)
Depends on:
Size and shape of drainage area
Type of surface
Slope of drainage area
Rainfall intensity
Whether flow is entirely overland or whether some is channelized
40. RAINFALL INTENSITY, I
Corresponding to a duration tc and the desired probability of
exceedence P
Return period, T=1/P
Found from rainfall intensity—duration-frequency (IDF) curve
42. RAINFALL INTENSITY, I
Average intensity for a selected frequency and duration
Based on “design” event (i.e. 50-year storm)
Overdesign is costly (what else?)
Underdesign may be inadequate
43. RAINFALL INTENSITY, I
Based on values of tc and T
tc = time of concentration
T = recurrence interval or design frequency
As a minimum equal to the time of concentration, tc,
(mm/hr)
44. RECURRENCE INTERVAL (DESIGN EVENT)
2-year interval -- Design of intakes and spread of water on
pavement for primary highways and city streets
10-year interval -- Design of intakes and spread of water
on pavement for freeways and interstate highways
50 - year -- Design of subways (underpasses) and sag
vertical curves where storm sewer pipe is the only outlet
100 – year interval -- Major storm check on all projects
ARI = Average recurrent interval
- Average length of time between rain events
that exceed the same magnitude, volume and
duration
46. EXAMPLE 1:
RATIONAL METHOD
An urban catchment has an area of 85 ha. The slope of the
catchment is 0.006 and the maximum length of travel of water
is 950m. The maximum depth of rainfall with a 25-year return
period is as below
Duration
(min)
5 10 20 30 40 60
Depth of
rainfall
(mm)
17 26 40 50 57 62
If a culvert for drainage at the outlet of this area is to
be designed for a return period of 25years, estimate
the required peak-flow rate, by assuming runoff
coefficient is 0.3
47. SOLUTION
tc using Kirpich formula:
tc=0.01947 L0.77S-0.385
= 0.01947 x (950)0.77 x (0.006)-0.385
= 27.4 minutes
By interpolation, i = (50-40)/10 x 7.4 + 40 = 47.4 mm
Average intensity, i tc,p = 47.4/27.4 x60 = 103.8 mm/hr
Q = 0.3 x 103.8 x 0.85/3.6 = 7.35 m3/s
47
48. EXAMPLE 2:
RATIONAL METHOD
If the urban area of example 1, the land use of the area and the
corresponding runoff coefficients are as given below, calculate the
equivalent runoff coefficient.
Land Use Area (ha) Runoff coefficient
Roads 8 0.70
Lawn 17 0.10
Residential Area 50 0.30
Industrial Area 10 0.80
50. EXAMPLE 3
50
A catchment area of 120 ha has a time of concentration of 30 min and runoff
coefficient of 0.3. If a storm of duration 45 min results in 3.0 cm of rainfall over the
catchment, estimate the resulting peak flow rate.
i = 30 mm/(45 min/hr x 60) = 40 mm/hr
C = 0.3
A = 120 ha
Q = 0.3(40)(120)/360 = 4 m3/s
51. WORKED EXAMPLE
Determine the design peak for flow generated from residential area of 10 hectares in Kuala
Lumpur for design return period 50 years. Assume 80 m of overland flow followed by 400 m
of flow in open drain. Catchment area average slope is 0.5%.
Solution:
1. Determine tc = to + td = 8 + 7 = 15 min
From overland flow chart: to = 8 minutes
td = L/v (Manning equation), Assume v = 1 m/s, then td = 400 s = 6.7 min. Use 7 min
2. Refer IDF curve to obtain i. i = 200mm/hr
3. Choose rational coefficient, C (Table) = 0.7
4. Compute Qp = C I A
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