Transcript Application of Surface-water Modeling System (SMS) on

Application of Surface-water Modeling
System (SMS) on River Stream:
A Case Study in Brantas River
Mohammad Sholichin (1), Faridah Othman (2)
(1) Lecturer, Water Resources Department, Engineering Faculty-Brawijaya University
(2) Lecturer, Department of Civil Engineering, Universiti Malaya, Malaysia
(3) Postgaduate Student, Departement Civil Engineering, Universiti Malaya
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Abstract
Water pollution has been a crucial problem in
many countries and has attracted researcher’s
attention from over the world.
 This paper describes the simulation of BOD
concentration as one parameter of water
pollutant at Brantas River.
 The main objective of this study is to apply the
SMS (Surface-water Modeling System)-model to
Brantas River and to predict the status of water
quality at Brantas River

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1. Introduction
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River system is a major source of water supply;
agricultural, urban water need and industry, etc. Water
quality assessment of river system are become critical
throughout the country and there is a real concern about
the sustainable supply of quality of water and health of
water bodies.
Most condition of river in several places is of degradation
quality, due to the contaminations from domestic
pollutant, industrial, and agriculture.
Point source pollutant or rather pollutants are associated
with a point location such as a toxin waste spill site has
received the greatest attention in the past because of
obvious severity of their impact at a localized point
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2. Study Area
The Brantas River Basin is the most urbanized
region in Indonesia. About 16 million people live
in the Brantas catchment area and depend on its
resources. The Brantas River with a total length
of 320 km and a catchment area 11.050 km2 is
the second largest river of Java. It functions as
the most importance source of water supply in
the east Java province.
 A case study presented is located in Brantas River
especialy in middle area with length of 6 km
before Jongbiru water quality station recorder,
Kediri City.
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Location of study case :
Brantas River Basin - East Java
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3. Methodology
The research methodology can be distributed as following:
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Pre-fieldwork,
This stage includes problem identification, literature review,
data collection from previous study and literature, analysis
of available and required data
Fieldwork
This phase includes in-site analysis of water samples for
BOD parameter and handling for analyses in environmental
Laboratory; discharge measurement for river and outlet of
point source pollutant.
Simulation
This phase includes preparation input data, set-up of
model; model runs, model calibration; analysis of running
program of SMS and comparison whit observation water
quality data. Finally, analysis result and conclusion will be
made for the study area.
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4. Surface-water Modeling
System
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SMS (surface-water modeling system) is a
comprehensive environment for one-, two-, and threedimensional hydrodynamic modeling.
New enhancements and developments continue at the
Environmental Modeling Research Laboratory (EMRL)
at Brigham Young University (formerly known as the
Engineering Computer Graphics Laboratory) in
cooperation with the U.S. Army Corps of Engineers
Waterways Experiment Station (USACE-WES), and the
U.S. Federal Highway Administration (FHWA).
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SMS model
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5. Results
The simulation results of this model are
shown below:
 Simulation of water elevation distribution a long
stream
 Simulation of velocity distribution a long stream
 Simulation of BOD concentration a long stream.
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Graph of water elevation distribution a long the stream
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Graph of velocity distribution a long the stream
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Graph of BOD concentration a long the stream
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6. Conclusion
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Application of surface-water modeling system with RM4
Sub-Model for prediction of Brantas River could be done
with calibration and validation of observed water quality
and discharge data recorder
In general, the water quality of middle Brantas River
hasn’t been in heavy pollution status yet, in compare
with class B-surface water quality standard. Slightly
Polluted.
Surface-water modeling system was successfully for
prediction of concentration BOD a long stream of middle
Brantas River, but result values was over estimation
compared whit observed data recorder.
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THANK YOU
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