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<title>Singh, Vijay P.</title>
<link href="http://hdl.handle.net/1969.1/94172" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/1969.1/94172</id>
<updated>2013-02-17T02:52:51Z</updated>
<dc:date>2013-02-17T02:52:51Z</dc:date>
<entry>
<title>Quantifying the effect of land use and land cover changes on green water and blue water in northern part of China</title>
<link href="http://hdl.handle.net/1969.1/94173" rel="alternate"/>
<author>
<name/>
</author>
<id>http://hdl.handle.net/1969.1/94173</id>
<updated>2011-05-06T14:32:22Z</updated>
<published>2009-06-12T00:00:00Z</published>
<summary type="text">Quantifying the effect of land use and land cover changes on green water and blue water in northern part of China
Changes in land use and land cover (LULC) have been occurring at an accelerated pace in northern parts of China. These changes are significantly impacting the hydrology of these parts, such as Laohahe Catchment. The hydrological effects of these changes occurring in this catchment were investigated using a semi-distributed hydrological model. The semi-distributed hydrological model was coupled with a two-source potential evaportranspiration (PET) model for simulating daily runoff. Model parameters were calibrated using hydrometeorological and LULC data for the same period. The LULC data were available for 1980, 1989, 1996 and 1999. Daily streamflow measurements were available from 1964 to 2005 and were divided into 4 periods: 1964–1979, 1980–1989, 1990–1999 and 2000–2005. These periods represented four different LULC scenarios. Streamflow simulation was conducted for each period under these four LULC scenarios. The results showed that the change in LULC influenced evapotranspiration (ET) and runoff. The LULC data showed that from 1980 to 1996 grass land and water body had decreased and forest land and crop land had increased. This change caused the evaporation from vegetation interception and vegetation transpiration to increase, whereas the soil evaporation tended to decrease. Thus during the period of 1964–1979 the green water or ET increased by 0.95%, but the blue water or runoff decreased by 8.71% in the Laohahe Catchment.
</summary>
<dc:date>2009-06-12T00:00:00Z</dc:date>
</entry>
<entry>
<title>Kinematic wave model for transient bed profiles in alluvial channels under nonequilibrium conditions</title>
<link href="http://hdl.handle.net/1969.1/94170" rel="alternate"/>
<author>
<name/>
</author>
<id>http://hdl.handle.net/1969.1/94170</id>
<updated>2011-05-06T14:32:22Z</updated>
<published>2007-12-27T00:00:00Z</published>
<summary type="text">Kinematic wave model for transient bed profiles in alluvial channels under nonequilibrium conditions
Transient bed profiles in alluvial channels are generally modeled using diffusion (or dynamic) waves and assuming equilibrium between detachment and deposition rates. Equilibrium sediment transport can be considerably affected by an excess (or deficiency) of sediment supply due to mostly flows during flash floods or floods resulting from dam break or dike failure. In such situations the sediment transport process occurs under nonequilibrium conditions, and extensive changes in alluvial river morphology can take place over a relatively short period of time. Therefore the study and prediction of these changes are important for sustainable development and use of river water. This study hence developed a mathematical model based on the kinematic wave theory to model transient bed profiles in alluvial channels under nonequilibrium conditions. The kinematic wave theory employs a functional relation between sediment transport rate and concentration, the shear-stress approach for flow transport capacity, and a relation between flow velocity and depth. The model satisfactorily simulated transient bed forms observed in laboratory experiments.
An edited version of this paper was published by AGU. Copyright 2007 American Geophysical Union.
</summary>
<dc:date>2007-12-27T00:00:00Z</dc:date>
</entry>
<entry>
<title>Hybrid fuzzy and optimal modeling for water quality evaluation</title>
<link href="http://hdl.handle.net/1969.1/94169" rel="alternate"/>
<author>
<name/>
</author>
<id>http://hdl.handle.net/1969.1/94169</id>
<updated>2011-05-06T14:32:22Z</updated>
<published>2007-05-08T00:00:00Z</published>
<summary type="text">Hybrid fuzzy and optimal modeling for water quality evaluation
Water quality evaluation entails both randomness and fuzziness. Two hybrid models are developed, based on the principle of maximum entropy (POME) and engineering fuzzy set theory (EFST). Generalized weighted distances are defined for considering both randomness and fuzziness. The models are applied to 12 lakes and reservoirs in China, and their eutrophic level is determined. The results show that the proposed models are effective tools for generating a set of realistic and flexible optimal solutions for complicated water quality evaluation issues. In addition, the proposed models are flexible and adaptable for diagnosing the eutrophic status.
An edited version of this paper was published by AGU. Copyright 2007 American Geophysical Union.
</summary>
<dc:date>2007-05-08T00:00:00Z</dc:date>
</entry>
<entry>
<title>Kinematic wave model of bed profiles in alluvial channels</title>
<link href="http://hdl.handle.net/1969.1/94168" rel="alternate"/>
<author>
<name/>
</author>
<id>http://hdl.handle.net/1969.1/94168</id>
<updated>2011-05-06T14:32:22Z</updated>
<published>2006-06-21T00:00:00Z</published>
<summary type="text">Kinematic wave model of bed profiles in alluvial channels
A mathematical model, based on the kinematic wave (KW) theory, is developed for describing the evolution and movement of bed profiles in alluvial channels. The model employs a functional relation between sediment transport rate and concentration, a relation between flow velocity and depth and Velikanov's formula relating suspended sediment concentration to flow variables. Laboratory flume and field data are used to test the model. Transient bed profiles in alluvial channels are also simulated for several hypothetical cases involving different water flow and sediment concentration characteristics. The model‐simulated bed profiles are found to be in good agreement with what is observed in the laboratory, and they seem theoretically reasonable for hypothetical cases. The model results reveal that the mean particle velocity and maximum concentration (maximum bed form elevation) strongly affect transient bed profiles.
An edited version of this paper was published by AGU. Copyright 2006 American Geophysical Union.
</summary>
<dc:date>2006-06-21T00:00:00Z</dc:date>
</entry>
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