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Contents
Vol.
7, No. 2 Fall 2007
Vol.
7, No. 1 Spring 2007
Vol.
6, No. 2 Fall 2006
Vol.
6, No. 1 Spring 2006
Vol. 5, No. 2 Fall 2005
Vol.
5, No. 1 Spring 2005
Vol.
4, No. 2 Fall 2004
Vol.
4, No. 1 Spring 2004
Vol.
3, No. 2 Fall 2003
Vol. 3, No. 1 Spring
2003
Vol. 2,
No. 2 Fall 2002
Vol. 2,
No. 1 Spring 2002
Vol. 1, No. 1 Fall 2001
Submission Guidelines for Authors
Review Process
Editorial Board
CD-ROM/Download
version of JOSH
Copyright Policy
Copyright © 2001 - 2008
Spatialhydrology.com, Inc.
All rights reserved.
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| Prediction of Daily
Maximum Streamflow Based on Stochastic Approaches |
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Kadri YUREKLI1,
Ahmet KURUNC2 and Huseyin SIMSEK3 1.
Res. Ass.
Dr. Gaziosmanpasa Unıversity, 2. Res.
Ass. Dr. Gaziosmanpasa Unıversity, 3.
Assoc.
Prof. Dr. Gaziosmanpasa Unıversity, Faculty of Agriculture,
Department of Farm Structure and Irrigation 60250 Tasliciftlik-Tokat/TURKEY
Abstract:
This study analyzed daily
maximum streamflow data of each month from three gauge stations on
Cekerek Stream for simulation using stochastic approaches. Initially
non-parametric test (Mann-Kendall) was used to identify the trend
during study period. The two approaches of stochastic modeling,
ARIMA and Thomas-Fiering models, were used to simulate monthly
maximum data. The error estimates (RMSE and MAE) of predictions from
both approaches were compared to identify the most suitable approach
for reliable simulation. The two error estimates calculated for two
approaches indicate that ARIMA model appear to be slightly better
than Thomas-Fiering. However, both approaches were identified as
appropriate method for simulating daily maximum streamflow data of
each month from three gauge stations on Cekerek Stream.Keywords:
Daily maximum
streamflow, stochastic model, ARIMA, Thomas-Fiering
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| LINKAGE OF ARCVIEW GIS WITH THE
RZWQM MODEL |
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Xixi Wang and Peilian Cui, Respectively,
Research Scientist, Energy & Environmental Research Center,
University of North Dakota, Grand Forks, ND 58202; Software
Programmer , Department of Space Studies, University of North
Dakota, Grand Forks, ND 58202.
Abstract:
The Root Zone Water Quality
Model (RZWQM) is a one-dimensional, lumped field-scale model. It can
simulate major physical, chemical, and biological processes in an
agricultural crop production system. While its reliability has been
verified by several researchers, because of its lumped structure
RZWQM could not account for the soil heterogeneity and the
associated nonuniformity of management practices across the field.
Neglecting the variability may result in misleading simulation
results. On the other hand, the variability can be accurately
characterized by using a geographic information system (GIS),
especially ArcView GIS, the most widely used desktop mapping and
geographic analysis system. Linked with ArcView GIS, RZWQM will have
a quasi-distributed structure, which makes it possible to
incorporate the field variability into the simulation. The linkage
is realized by a series of interfaces and dialogue boxes developed
in Avenue and Microsoft Visual Basic computer programming languages.
The user can develop and execute such a coupled model by employing
an easily-used main interface, the interfaces for preparing the
input data files and displaying the simulation results, and the
associated dialogue boxes. Undoubtedly, the linkage will facilitate
and enhance the use of RZWQM.
Keywords:
geographic Information
System; quasi-distributed mathematical modeling; RZWQM; spatial
variability; field management; water quality modeling; model
integration.)
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| Land Use/Land Cover
Changes and Groundwater Potential Zoning in and around Raniganj coal
mining area, Bardhaman District, West Bengal
- A GIS and
Remote Sensing Approach |
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P. K.
Sikdar1, S. Chakraborty2, Enakshi Adhya1
and P.K. Paul2
,
1Department
of Environment Management, Indian Institute of Social Welfare and
Business Management, Kolkata,
2
Department of Mining and Geology, B.E. College (A Deemed
University), Howrah, India.
Abstract:
The Raniganj area has a long history of coal mining starting from
1744. This has resulted in major change in land use pattern and high
groundwater abstraction leading to drinking water crisis especially
during the premonsoon period. In the present study, land use /land
cover conversions in Raniganj area from 1972 to 1998 and groundwater
potential zoning for future groundwater development has been
delineated using the techniques of Remote Sensing and Geographic
Information System (GIS). The study indicates that land covered by
vegetation and settlement has decreased at the expense of mining
activity, which is reflected in the increase in area of overburden
dump, barren land, waste land and abandoned quarry filled with
water. Land use/land cover conversion has taken place in about 99.6
sq km, which accounts for 34.9 % of the total area, over 26-year
period. Overlay analysis using multi-criteria such as drainage
texture, geomorphology, lithology, current land use and steepness of
slope and frequency of lineaments has been utilized to understand
the potentiality of groundwater for future development. The analysis
indicates that the groundwater potentiality of Raniganj area is
medium (yield: 25 –50 m3/hr)
with high potential (yield: >50 m3/hr)
in the stretch along the Damodar River and in small pockets in the
northern part of the study area. The groundwater abstractions
structures feasible in the each of the various potential zones have
also been suggested.
Keywords: Raniganj,
Groundwater, GIS, Remote Sensing
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| Application of
Chemical Mass Balance to Water Quality Data of Malaprabha River
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B. K. Purandara, N. Varadarajan and C. P. Kumar
(Hard Rock Regional Centre, National Institute of Hydrology,
Hanuman nagar, Belgaum – 590 001.
Abstract:Mass balance
calculations carried out for Na, K, Ca, Mg, Cl, SO4 and
HCO3 for the study area showed that the major source of
contamination is through non-point sources. It is also observed that
the river water quality during the non-monsoon season (February,
2000) almost resembles with the groundwater quality of the adjoining
aquifer. However, during post-monsoon period (October, 1999) a wide
variation was found between groundwater and surface water quality
which can be attributed to the movement of fertilizers and
agricultural ashes with monsoon flows reaching the stream along with
overland flow. The major source of contamination in the Malaprabha
river was found to be due to the non-point sources (more than 90%).
An immediate attention from the concerned authorities is required in
order to protect the land from further salinization.
Keywords: Mass balance, Salinity, advection, base flow
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| Estimating sediment yield using
Agricultural Non-Point Sources (AGNPS) model: The effects of slope
information from different GIS softwares |
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Ruslan Rainis,
GIS and Spatial
Analysis Research Group, Geography Section, School of Humanities,
Universiti Sains Malaysia, 11800 Penang, Malaysia.
On
sabbatical leave at School of Geography, University of Leeds,
Woodhouse Lane, Leeds LS2 9JT, United Kingdom from September 2002 to
May 2003.Abstract:
This study compares the effects
of slope information derived from three GIS software on sediment
yield as estimated using AGNPS model. The three GIS software are
IDRISI for Windows, ERDAS Imagine and ArcView. The results of the
study clearly demonstrated that the different software produced
different slope information. The deviations were considerable when
the comparisons were based on raw slope values. The maximum slope
values generated by the software differed by as much as 61 percent.
Not only the software produced different slope values, the locations
where the maximum slope occurred were also different. These
differences in slope information subsequently impacted the estimates
of sediment yield using the AGNPS model. While the maximum slope
information differed only by 1.6 times, the maximum sediment yields
generated by the difference software varied by as much as 12.7
times. This strongly indicates that the use of different GIS
software in environmental modeling might lead to different decision
making and management strategy.
Keywords: Geographical Information System (GIS),
slope information, Sediment yield; AGNPS model; tropical
catchment
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| Hydrogeology of the Northern Gezira Area, Central Sudan |
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Adil
Elkrai1,3 Omer Kheir2, Longcang Shu1
and Hao zhenchun1,
1College
of water resources & Environment, Hohai University, Nanjing City,
China. , Fax:+86253735375, Email:adilballa99@hotmail.com,
2Geological
Research Authority, Fax: +24911776681, Khartoum, Sudan,
3El
Neelain University, Faculty of Science and Technology, Khartoum,
Sudan.
Abstract:
The aim of this study was
to determine the hydraulic properties of the aquifers, evaluate the
chemical characteristics of groundwater, and construct a water level
and hyrochemical maps. Jacob’s, and Theis’s recovery methods were
used to calculate the aquifer hydraulic properties. The chemical
analyses of major constituents with aid of surfer software and
Piper’s diagram were used in evaluation of groundwater chemistry and
construction of hydrochemical maps. The transmissivity and hydraulic
conductivity of Gezira and Cretaceous sedimentary aquifers were
calculated. Based on field and laboratory observations it was found
that the groundwater in lower Gezira and Cretaceous sedimentary
aquifers is suitable for domestic use whereas that of upper Gezira
aquifer is extremely saline and considered to have been polluted by
local lithological units. The hydrochemical composition of the
groundwater in Gezira aquifers is NaHCO3,
Ca (HCO3)2,
Ca SO4,
CaCl2
and Na2SO4 water types of alkaline
character. The Cretaceous sedimentary aquifer is characterized by
NaHCO3,
and NaCl2
water types.
Key words: aquifer, transmissivity, hydraulic conductivity, chemical analyses,
hydrochemical composition.
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| Diffused Interface Model to
Prevent Ingress of Sea Water in Multi-Layer Coastal Aquifers |
A. K. Rastogi,
Professor
Department of civil Engineering, Indian Institute of Technology,
Powai, Mumbai, 400076, India, e-mail:
akr@civil.iitb.ac.in.
Gye Woon Choi,
Professor,
Department of Civil and Environmental System Engineering and
Director Incheon Regional Environmental Technology Development
Centre, University of Incheon, Incheon, South Korea.
S. K. Ukarande,
Professor
Department of civil Engineering, MGM’s College of Engineering &
Technology, Kamothe, Navi Mumbai, 410209, India,
Abstract: In many regions coastal
aquifers are major source of supply of water to various sectors.
However, indiscriminate pumping from these aquifers leads to
seawater intrusion which is difficult to contain. A numerical model
is developed to study two-dimensional steady state seawater
intrusion problem involving hydrodynamic dispersion in a synthetic
multi-layered confined coastal aquifer. The intrusion model is used
to investigate efficacy of seawater control measures involving
freshwater recharge wells and combined system of freshwater recharge
and saltwater discharge wells. The study found that depth of
recharge well, its location from the seashore and well head are
important parameters that can control the ingress of the diffused
interface. As the recharge wells are located closer to the sea
shore, push back effect on the 0.5 isochlor is more pronounced.
However, increase in depth of the recharge and discharge well has
limited effect. The model study found that a combined
recharge-discharge wells system is more effective in controlling
seawater intrusion compared to the recharge wells approach.
Keywords: GIS, numerical model, seawater intrusion.
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| Prediction of Ground Water Vulnerability using an
Integrated GIs-based neuro-fuzzy techniques |
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B. Dixon, Assistant. Professor, Dept of Environmental
Science, Policy and Geography, University of South
Florida St. Petersburg, 140 Seventh Ave South, St.
Petersburg, Fl 33701
Abstract:
There is a need
to develop new modeling techniques that assess
ground water vulnerability with less expensive data
and which are robust when data are uncertain and
incomplete. Incorporation of Geographic Information
Systems (GIS) with a modeling approach that is
robust has the potential for creating a successful
modeling tool. The specific objective of this study
was to develop a model using Neuro-fuzzy techniques
in a GIS to predict ground water vulnerability. The
Neuro-fuzzy model was developed in JAVA using four
plausible parameters deemed critical in transporting
contaminants in and through the soil profile. These
parameters include soil hydrologic group, depth of
the soil profile, soil structure (pedality points)
of the soil A horizon and landuse. The model was
validated using nitrate-N concentration data. The
majority of the highly vulnerable areas predicted by
the model coincided with agricultural landuse,
moderately deep to deep soils, soil hydrologic group
C (moderately low Ksat) and high pedality points
(high water transmitting properties of the soil
structure). The proposed methodology has potential
for facilitating ground water vulnerability modeling
at a regional scale and can be used for other
regions, but would require incorporation of
appropriate input parameters suitable for the
region. This study is the first step toward
incorporation of Neurofuzzy techniques, GIS, GPS and
remote sensing in the assessment of ground water
vulnerability from non-point source contaminants.
Key Words: GIS, Spatial Modeling, Remote
Sensing, Fuzzy Logic, Neural Networks |
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