scholarly journals Assessment of Nitrogen Pollution Load Potential for Groundwater by Mass Balance in the Tedori River Alluvial Fan Areas, Japan

2012 ◽  
Vol 2 (1) ◽  
pp. 76
Author(s):  
Maruyama Toshisuke ◽  
Yoshida Masashi ◽  
Takase Keiji ◽  
Takimoto Hiroshi ◽  
Noto Fumikazu

<p>To assess the nitrogen pollution load potential (NPLP) of groundwater, mass balance over a recent five-year period (2006–2010) was analyzed within the Tedori River alluvial fan area, Ishikawa Prefecture, Japan. All components of the hydrologic cycle in polluted regions of the study area were analyzed based on water and nitrogen balance. The water balance model was based on the exchange of river water between the channel/soil surface and the aquifer horizon fractions. The water balance calculation was conducted by considering precipitation, evapotranspiration, direct runoff, and infiltration in the channel/soil horizon (Figure 2). In addition, infiltration from paddy and other land uses, recharge and effluent from the Tedori River and pumping from the wells in the aquifer horizon were considered. Based on the water balance analysis, nitrogen balance analysis was conducted. The results revealed that the nitrogen input was 1,214.2 ton/year, while nitrogen output was 959.4 ton/year. Therefore, 254.6 ton/year accumulated within the study area. In the aquifer horizon, the amount of nitrogen deposited was found to be 232.9 ton/year. The total nitrogen concentration of water samples collected from a well with a depth of 50 m was about 1.0 mg/L, which was greater than that observed for the well of 150 m depth (about 0.25 mg/L). These findings indicate that contaminating nitrogen gradually percolates into the deeper zone. The most dominant nitrogen pollutant for the study area originated from farmland (30.5%) and second is intake water (24.2%) and third is precipitation (23.8%). These three items occupied 78.5% of total pollutant.</p>

2010 ◽  
Vol 8 (3) ◽  
pp. 293-300 ◽  
Author(s):  
Toshisuke Maruyama ◽  
Fumikazu Noto ◽  
Kazuo Murashima ◽  
Iwao Hashimoto ◽  
Keiu Kitada

Author(s):  
Timothy Oyebamiji Ogunbode ◽  
Ifatokun Paul Ifabiyi

The study was conducted to examine water availability in different climatic scenarios in Oyo State. The data used comprised of rainfall and temperature records. The spans of the data used vary from one station to the other: 38-year data for Ibadan and 37-year for Ogbomoso stations, both collected from NIMET Office, Ilorin while 11-year also collected from the Office of Oyo State Agricultural Development Programme (OYSADEP) Headquarters at Shaki were available for Shaki Station. Evapotranspiration data for the three stations were empirically generated while water balance model was computed using MATLAB R2007a version in order to determine the respective water availability and the regression analysis was used to determine rainfall trends. The results showed that rainfall amounts vary from year to year and also increasing trends in the three stations over the period examined. It was also discovered that in all the periods investigated across the stations, Ibadan has 81.58%, Shaki, 81.81% and Ogbomoso, 56.80% as wet years indicating that there is abundant water resources in Oyo State. It is recommended that strategies  be put in place to exploit excess rainwater for various purposes especially by increasing the capacity of water reservoirs and dams across the State for development of pipe borne water network and also, for irrigation farming during dry spells. Further investigation is recommended on water balance and its implications for agricultural practice in the study area.


2011 ◽  
Vol 9 (4) ◽  
pp. 441-449 ◽  
Author(s):  
Maruyama Toshisuke ◽  
Noto Fumikazu ◽  
Takimoto Hiroshi ◽  
Nakamura Kimihito ◽  
Onishi Takeo

2020 ◽  
Vol 20 (2) ◽  
pp. 239-250
Author(s):  
Yonghyeon Gwon ◽  
Kyunghwan Son ◽  
Kyoungdo Lee ◽  
Gyewoon Choi

This study aimed to develop a water balance model capable of daily analysis of the water supply situation in a multi-composite area, evaluate the utility of the model, and conduct a water balance analysis. The multi-composite water balance model, which was developed to determine the daily water balance in an area, includes five modules: "Weather data build and area mean data," "Rainfall-runoff analysis," "Benefit area and demand estimation," "Reservoir water balance analysis," and "River basin water balance analysis." The study selected eight cities in northwestern Chungcheongnam-do in Korea as target areas and evaluated the utility of the water balance model. Further, the study used observation and model simulation data for its analysis, which found a high degree of accuracy as well as correlation. In addition, daily water balance analysis was conducted to estimate the potential supply, demand, supply, shortage, surplus supply, and shortage days in the river basin, while the ratio of shortage to demand was also determined to identify areas vulnerable to drought. In the future, it will be possible to establish drought countermeasures and facility operation plans by identifying areas with water supply vulnerability using the developed model.


2021 ◽  
Author(s):  
Derek Smith

In the Greater Toronto Area (GTA), there have been drastic changes to local watersheds as urban areas sprawl over surrounding rural areas. It is necessary to understand the water balance of a watershed in order to develop and implement a watershed plan. In an urbanized watershed, the run-off rate and volume will increase. While Duffins Creek may be one of the healthiest watersheds in the GTA, it is also one that is producing the most concern for the Toronto and Region Conservation Authority where findings suggested that proposed urbanization will impact the water quality and quantity. This [thesis] research has three objectives: to develop a modelling methodology that integrates GIS and hydrologic models in a water balance analysis using as case study the Reesor Creek watershed; to calibrate the models by observing how differing techniques discretize both the landscape and incoming precipitation; and to observe the effects of spatially distributed rainfall measurements and their affects on the three modelling approaches.


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