Dynamic distribution of nitrate in Lower Connecticut River Basin: A multimedia screening-level modeling approach

2003 ◽  
Author(s):  
Yuzhou Luo ◽  
Xiusheng Yang
2015 ◽  
Vol 6 (4) ◽  
pp. 880-890 ◽  
Author(s):  
Rajeev Saran Ahluwalia ◽  
S. P. Rai ◽  
S. K. Jain ◽  
D. P. Dobhal ◽  
Amit Kumar

In the present study, an attempt has been made to estimate the snow/glacier melt contribution in the head water region of the Beas Basin using a conventional hydrograph approach and a modeling (SNOWMOD) technique. The discharge and other meteorological data from 1996 to 2008 of the Manali site were used for the study. The results of SNOWMOD modeling reveal that snow/glacier melt contribution to the Beas River in the head water region varied between 52 (minimum) and 56% (maximum) with an annual average of 54% during the study period. The results obtained using the conventional approach showed the contribution of snow/glacier melt varied between 48 (minimum) and 52% (maximum) with an annual average of 50%. Results obtained using both techniques corroborate each other. This study reveals that the Beas River is mainly sustained by the snow/glacier melt contribution in the head water region.


2019 ◽  
Vol 23 (11) ◽  
pp. 4491-4508 ◽  
Author(s):  
John R. Yearsley ◽  
Ning Sun ◽  
Marisa Baptiste ◽  
Bart Nijssen

Abstract. Aquatic ecosystems can be significantly altered by the construction of dams and modification of riparian buffers, and the effects are often reflected in spatial and temporal changes to water temperature. To investigate the implications for water temperature of spatially and temporally varying riparian buffers and dam-induced hydrologic alterations, we have implemented a modeling system (DHSVM-RBM) within the framework of the state-space paradigm that couples a spatially distributed land surface hydrologic model, DHSVM, with the distributed stream temperature model, RBM. The basic modeling system has been applied previously to several similar-sized watersheds. However, we have made enhancements to DHSVM-RBM that simulate spatial heterogeneity and temporal variation (i.e., seasonal changes in canopy cover) in riparian vegetation, and we included additional features in DHSVM-RBM that provide the capability for simulating the impacts of reservoirs that may develop thermal stratification. We have tested the modeling system in the Farmington River basin in the Connecticut River system, which includes varying types of watershed development (e.g., deforestation and reservoirs) that can alter the streams' hydrologic regime and thermal energy budget. We evaluated streamflow and stream temperature simulations against all available observations distributed along the Farmington River basin. Results based on metrics recommended for model evaluation compare well to those obtained in similar studies. We demonstrate the way in which the model system can provide decision support for watershed planning by simulating a limited number of scenarios associated with hydrologic and land use alterations.


2015 ◽  
Vol 29 (9) ◽  
pp. 3265-3289 ◽  
Author(s):  
Chengcheng Huang ◽  
Guoqiang Wang ◽  
Xiaogu Zheng ◽  
Jingshan Yu ◽  
Xinyi Xu

1975 ◽  
Vol 4 (1) ◽  
pp. 76-86
Author(s):  
Frederic O. Sargent

It is generally recognized that the goal of achieving acceptable river basin planning in New England has been elusive. This is especially true in regard to the Connecticut River Basin (7). Ten government agencies have spent more than 10 years and over $4 million in inventorying and planning the Connecticut River Basin but have not yet produced a plan acceptable to the people of the Basin.


2000 ◽  
Vol 57 (11) ◽  
pp. 2280-2292 ◽  
Author(s):  
Brian P Kennedy ◽  
Joel D Blum ◽  
Carol L Folt ◽  
Keith H Nislow

To distinguish Atlantic salmon (Salmo salar) populations in tributaries of the Connecticut River, we studied the incorporation and stability of Sr isotopes in juvenile salmon. We established the geologic basis for unique isotopic signatures in 29 salmon sites. Stream-specific Sr isotopic ratios (87Sr/86Sr) were found in calcified tissues of salmon parr within 3 months of stocking. We found little seasonal variation in the Sr signatures of stream water or fish tissue. There were no significant differences among the Sr signatures of otoliths, scales, and vertebrae. For mature salmon raised under constant conditions, 70% of the Sr isotopic signature in calcified tissues was derived from food sources. We developed a criterion for identifying moving fish based upon the isotopic variability of genetically marked fish. Applying this criterion to our streams, 7% of the fish in our study had incorporated Sr from multiple streams. Strontium isotopes distinguished all 8 regions in the White River basin and 7 of the 10 regions in the West River basin. When watersheds are considered together, Sr isotopes differentiated 11 unique signatures from 18 regions. We conclude that Sr isotopes are an effective marking tool and discuss ways in which they can be combined with other marking techniques over larger spatial scales.


Chemosphere ◽  
2016 ◽  
Vol 143 ◽  
pp. 50-56 ◽  
Author(s):  
YoonKyung Cha ◽  
Young Mo Kim ◽  
Jae-Woo Choi ◽  
Suthipong Sthiannopkao ◽  
Kyung Hwa Cho

2016 ◽  
Vol 142 (1) ◽  
pp. 04015038 ◽  
Author(s):  
David W. Julian ◽  
John T. Hickey ◽  
Woodrow L. Fields ◽  
Leila Ostadrahimi ◽  
Katherine M. Maher ◽  
...  

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