Water resources of the Big Fork River watershed, north-central Minnesota

1974 ◽  
Author(s):  
Gerald F. Lindholm ◽  
John O. Helgesen ◽  
Donald W. Ericson
2016 ◽  
Vol 7 (3) ◽  
pp. 578-597 ◽  
Author(s):  
Ruizhong Gao ◽  
Fengling Li ◽  
Xixi Wang ◽  
Tingxi Liu ◽  
Dandan Du

Rapid urbanization on streamflows may directly affect or be restricted by the sustainability of local water resources. This is particularly true for arid/semiarid areas such as the Wulanmulun River watershed in the rapidly-developing Ordos region of north central China. From 1997 to 2012, the gross domestic product (GDP) of the region increased fifty-fold, while the urban area grew by a factor of ten. This study fused multiple-source data on land use, hydrometeorology, and socioeconomics to examine temporal variations in the runoff due to climate change and urbanization. The results revealed that for the Wulanmulun River watershed, the runoff decreased consistently over the study period, with an inflection point around 2005. The average runoff from 2006 to 2012 was much smaller than that from 1997 to 2005, regardless of time scale; although the precipitation also fluctuated from 1997 to 2012, it exhibited no significant trend. From 1997–2005 to 2006–2012, both the urbanized area and GDP increased eight-fold while the population increased by 20%. Thus, urbanization rather than climate change is likely the major reason for the decrease in runoff after 2005. For the study watershed, low impact development practices (e.g. rain barrels) may need to be implemented during urbanization to achieve sustainable management of water resources.


1970 ◽  
Author(s):  
M.W. Gaydos ◽  
J.E. Rogers ◽  
R.P. Smith

1997 ◽  
Vol 32 (4) ◽  
pp. 733-750
Author(s):  
R. Mark Palmer

Abstract Sewage treatment studies at the watershed scale, compared to case-by-case community projects, ensures the most cost-efficient investment of funds commensurate with environmental requirements to sustain growth. A three-year environmental assessment study for the town of New Tecumseth, Ontario, examined all nutrient inputs to the Nottawasaga River watershed. Other challenging watershed constraints were investigated, such as stream and river flow takings for irrigation and sediment transport, prior to the selection of the master sewage treatment plan. The findings from the field research and computer modelling were used to (1) place a realistic perspective on nutrient impacts, present and future, attributable to treated sewage effluent; (2) design a master plan that could be used as an opportunity in terms of reusing the effluent locally for agricultural irrigation; (3) provide a real-time assurance of the plan’s performance/compliance, based on the actual carrying capacity of the aquatic ecosystem; (4) stage the construction of the plan in a cost-effective and environmentally sound manner; and (5) recommend a water resources management strategy to control other nutrient and sediment load sources within the watershed. The recommended master sewage treatment plan and water resources management strategy can restore the Ministry of Environment and Energy provincial water quality objective concentration for total phosphorus within the river during 7Q20 flow conditions.


Atmosphere ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 602
Author(s):  
Luisa Martínez-Acosta ◽  
Juan Pablo Medrano-Barboza ◽  
Álvaro López-Ramos ◽  
John Freddy Remolina López ◽  
Álvaro Alberto López-Lambraño

Seasonal Auto Regressive Integrative Moving Average models (SARIMA) were developed for monthly rainfall time series. Normality of the rainfall time series was achieved by using the Box Cox transformation. The best SARIMA models were selected based on their autocorrelation function (ACF), partial autocorrelation function (PACF), and the minimum values of the Akaike Information Criterion (AIC). The result of the Ljung–Box statistical test shows the randomness and homogeneity of each model residuals. The performance and validation of the SARIMA models were evaluated based on various statistical measures, among these, the Student’s t-test. It is possible to obtain synthetic records that preserve the statistical characteristics of the historical record through the SARIMA models. Finally, the results obtained can be applied to various hydrological and water resources management studies. This will certainly assist policy and decision-makers to establish strategies, priorities, and the proper use of water resources in the Sinú river watershed.


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