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Content:
Vol.
10. No. 1 Spring 2010
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9, No.2
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Abstract
The
goal of this paper is to assess the impact of future climate
change on the hydrological regime of the tropical Upper Suriname
river basin (7,860 km2) located in Suriname. GCM
based climate scenarios from the MAGICC/SCENGEN model and 14
hypothetical climate scenarios are used to examine potential
changes in water balance components in the study area. A
physically-based distributed hydrological model, WetSpa, and
Geographic Information Systems (GIS) are used to simulate the
historical and future hydrological conditions. The evaluation
results indicate that the model has a relatively high confidence
(model bias C1 is 0.046 and the model determinant coefficient C2
is 0.833) and can give a fair representation of the river flow
hydrographs at daily scale (Nash Sutcliffe coefficient C3 is
0.622). The results indicate that an obvious increase in the
annual temperature (1.8oC and 3.2oC by
2050 and 2080 respectively) in the study area is accompanied
with a clear tendency in reduced precipitation during
January-March and August-December, and an increased tendency
during April-July. The sensitivity analyses of water balance
components under temperature and precipitation change (GCM
scenarios for 2050, 2080) shows that by 2080, the annual river
discharge will drop 35%. The hypothetical climate scenarios (T+2oC,
T+4oC and P+10%, +30%, +50%)
however indicate that the annual river discharge will increase
with maximum 75% for the scenario T+2oC
P+50% and will decrease with maximum 87.5% for the scenario
T+2oC P-50%. The results are indications of potential
impacts of climate change on water resources in the Upper
Suriname river basin, but true predictive skills require a
significant improvement in the ability of global climate models
to predictive changes in regional climate variability. The
WetSpa model has proven to be useful for hydrological modeling
studies where availability of physical catchment characteristics
and hydroclimatic data is scarce.
Keywords:
Climate
Change; Climate Change Scenarios; Geographic Information
Systems; Global Circulation Models; Hydrologic Modeling; Upper
Suriname river basin.
ABSTRACT
The Upper Tana River Basin is one of Kenya’s most important
natural resource bases. Its Masinga Reservoir supplies water and
hydroelectric power for 65 percent of the nation. Unregulated
deforestation and expansion of cultivation practices onto
marginal soils has resulted in significant reservoir siltation,
reduced ecosystem function, and more erratic downstream flows.
An appraisal conducted for this study identified potential areas
where reforestation could occur, enabling a doubling of the
reforested areas currently in the Upper Tana River catchments.
The Soil and Water Assessment Tool (SWAT) model was used to
evaluate alternative reforestation scenarios. An economic model
was developed to determine the opportunity costs associated with
reforestation and the economic incentives, i.e. green payments,
which would be required to induce upper catchment users to
reforest. The analysis found that reforestation would decrease
sediment loading in the Masinga Reservoir by 7 percent. Users in
the upper catchment would be paid $33 for each ton of sediment
they retained in their fields, but benefits were found to be
insufficient for downstream users to sponsor green payments.
Under an alternative price structure that targeted green
payments to specific upstream producer groups the downstream
benefits would increase, providing adequate incentives to
implement green payments.
The findings of this research can assist environmental policy
implementation by the Kenyan government that will foster
improved environmental results.
Key Words:
reforestation, Kenya, Tana River, SWAT, erosion, runoff, green
payments.
Estimating land-use
change impacts on direct runoff and non-point source pollutant
loads in the Richland
Creek basin (Illinois, USA) by applying the L-THIA model
Woonsup Choi
Abstract
An export
coefficient approach to hydrological and non-point source (NPS)
pollution modeling enables quick and simple assessment of
long-term impacts for planning purposes. An export coefficient
and geographic information system based L-THIA (Long-Term
Hydrologic Impact Assessment) model was applied to the Richland
Creek basin (Illinois, USA) to assess the impacts of future
urban growth on direct runoff, NPS total nitrogen (TN), total
suspended particles (TSP), and total phosphorous (TP) loads. The
model predicted that mean annual direct runoff and TSP loading
would increase by around 7% and 4% respectively by 2030 with
moderate and rapid urban growth simulated by a land-use change
model, while TN and TP loads would change little. Such changes
are due to the projected land-use change patterns, mainly from
agriculture to commercial/industrial or low-intensity
residential, and to the different contributions of land-uses to
runoff and NPS pollutant loads. At a subbasin scale, the most
developed subbasin is projected to experience the greatest
increase in commercial/industrial land at the expense of
agricultural land and thus notable increases in runoff and TSP
load. The changes in runoff and TSP load in other subbasins and
the changes in TN and TP loads in all the subbasins show little
spatial variability even though the range of per cent increases
in low-intensity residential is extremely wide. This study
reveals the effect of different ‘urban’ land-use types on water
quality and suggests that proper simulation or planning of
different urban land-use types must be carried out for impact
assessments.
Keywords: land-use change; runoff; non-point source
pollution; hydrological model
Yongbo Liu and Wanhong Yang
Abstract
In a complex watershed, isolated wetlands, riparian wetlands and
riparian buffers provide important functions such as flood
attenuation and water quality improvement. For conservation
purposes, it is critical to properly delineate drainage areas
for these features such that their impacts on runoff, sediment
and pollutant transport can be reasonably simulated. However,
traditional methods for watershed delineation typically fill
depressions or ignore riparian features in order to maintain the
continuity of surface flow pattern. In this study we develop an
ArcView geographic information system (GIS) interface for
watershed delineation that accounts for wetlands and riparian
buffers. Based on digital elevation model (DEM), wetland
distribution, and stream network GIS data, a subwatershed is
further divided into isolated wetland drainage, concentrated
flow drainage, riparian wetland drainage, and direct stream
drainage. Outflow from isolated wetlands forms a source of
concentrated flow that may contribute to riparian wetlands or
bypass riparian buffers depending on its outlet location. This
approach of drainage division makes a contribution in linking
watershed models and field-based models through divided drainage
areas. The developed interface provides a tool for simulating
hydrologic processes of these features and assessing different
restoration scenarios. The drainage division interface is
applied to the Fairchild Creek watershed of southern Ontario in
Canada where numerous isolated wetlands, riparian wetlands and
riparian buffers exist. A comparison of runoff and sediment
simulation results before and after drainage delineation shows
the importance of the interface in facilitating watershed
modeling.
Keywords:
Drainage division, DEM, GIS, wetlands, riparian buffers,
concentrated flow
Abstract
The
hydrodynamics and the long-term water balance of two
topographically closed crater lakes is presented in a
comparative manner using a spread-sheet hydrological model. The
main objective of the work is to study the role of groundwater
and the effect of water abstraction from lakes Awassa and
Naivasha. The rationale of selection of the two lakes separated
by thousands of kilometers is the striking similarity of their
hydrogeological and geomorphological setting and future intended
water uses for large-scale abstraction from the lakes and feeder
rivers. The net groundwater outflow from Lake Awassa and the
effect of water abstraction from Lake Naivasha under different
scenarios were calculated based upon the average monthly
hydrometeorological data of rainfall, evaporation and river
inflows. The net groundwater flux was obtained from the
simulation as a residual of other water balance components and
was found to be substantial in both lakes. The result revealed
that the annual net groundwater outflow from Lake Awassa to
adjacent basins is estimated at 58 ×106 m3.
The predicted and recorded lake levels fit well for much of the
simulation period. For Lake Naivasha groundwater flows into and
out of the lake are successfully estimated based on the
predicted water level fluctuations when water abstraction was at
a minimal. The most accurate predictions of lake level were
derived from the data sets of river discharges known to be from
the most-reliable time period after the early 1970s. The model
estimated an annual abstraction rate and groundwater outflow
from Lake Naivasha of 60×106 m3 and 56×106
m3 respectively. The model demonstrated its
validity as a good management tool to predict effects of
large-scale pumping and extreme climatic events that may affect
the lakes in space and time.
Key
Words:
Awassa, East African rift, hydrology, modeling, Naivasha, water
balance
Abstract
Geographic
Information System (GIS) was utilized to apply a modified
DRASTIC method to assess the aquifer vulnerability to pollution
of English Bazar Block of Malda District, West Bengal, India. In
the western, central and southern parts of the study area the
aquifer is prone to contamination. Therefore, in these regions
pesticides, which may contain arsenic or arsenic rich
groundwater, should not be used in irrigated land or mango
orchards. In order to understand the reliability of the aquifer
vulnerability, sensitivity analysis was carried out. This
analysis indicates that in 62% of the area the vulnerability
classes correspond to the present arsenic concentration in
groundwater.
Keywords:
DRASTIC, vulnerability, arsenic, groundwater, Malda, West Bengal
Saumitra Mukherjee,
Vijay Veer, Shailendra Kumar Tyagi and Vandana Sharma
Abstract
Any reduction in water spread area at a specified elevation over
a time period is indicative of sediment deposition at this
level. This when integrated over a range of water stages helps
in computing volume of storage lost through sedimentation. This
study relates to estimation of capacity loss due to
sedimentation of Hirakud reservoir, located in Orissa, India.
Satellite data of 5 optimal dates corresponding to various water
stages from minimum to maximum draw down levels were used in
estimating the water spread areas. Simple ratiod (NIR/RED) image
were generated to identify the water pixels and then verifying
the standard FCC. The non-water pixels were then identified with
the ratiod (GREEN/NIR) image and removed to have the total water
spread. The water spread area on different satellite overpass
dates and corresponding elevations were then used to find the
total reservoir storage capacity with the help of Elevation area
curve.
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