Evaluation of water resources by snow storage using water balance and tank model method in the Tedori River basin of Japan

The Malian River Basin is the Longdong grain elevator and a new oil and energy base of East Gansu Province. Limited water resources programming utilization is a key for the development of the socio-economic and energy industry, as well as the improvement of the ecological environment. An analytical framework for assessing socioeconomic development, rational allocation of water resources, and guiding policy development is proposed in this study. A decision tree method was used in the risk analysis and was improved by introducing the expert advisory probabilistic method into the sensitivity analysis to reduce cognitive bias. A large-system multi-objective model was developed to solve the problem of the rational allocation of available water resources and for benefit maximization among water users. The Non-dominated Sorting Genetic Algorithm-Ⅱ (NSGA-II) method was used to generate a solution. The water supply amount within the basin was 8.69 × 108 m3 and the water shortage rate was 15.90%. The optimization model method had better distribution results than the weights method without new water supply. Through the model method results, the water saving potential was found and the related policies were proposed. The framework and methods can further provide a reference for both the planning of water resources and the formulation of regulatory policies and will greatly alleviate water crises in semi-arid areas.

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Prediction of water resources as snow storage under climate change in the Tedori River basin of Japan

Paddy and Water Environment ◽

10.1007/s10333-012-0337-z ◽

2012 ◽

Vol 11 (1-4) ◽

pp. 463-471 ◽

Cited By ~ 2

Author(s):

Noto Fumikazu ◽

Maruyama Toshisuke ◽

Yoshida Masashi ◽

Hayase Yoshio ◽

Takimoto Hiroshi ◽

...

Keyword(s):

Climate Change ◽

Water Resources ◽

River Basin ◽

Snow Storage

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Integrating Satellite Rainfall Estimates with Hydrological Water Balance Model: Rainfall-Runoff Modeling in Awash River Basin, Ethiopia

Water ◽

10.3390/w13060800 ◽

2021 ◽

Vol 13 (6) ◽

pp. 800 ◽

Cited By ~ 1

Author(s):

Girma Berhe Adane ◽

Birtukan Abebe Hirpa ◽

Belay Manjur Gebru ◽

Cholho Song ◽

Woo-Kyun Lee

Keyword(s):

Water Resources ◽

Water Balance ◽

River Basin ◽

Pearson Correlation ◽

Hydrologic Model ◽

Water Balance Model ◽

Rainfall Data ◽

Balance Model ◽

Awash River Basin ◽

Satellite Rainfall

Hydrologic models play an indispensable role in managing the scarce water resources of a region, and in developing countries, the availability and distribution of data are challenging. This research aimed to integrate and compare the satellite rainfall products, namely, Tropical Rainfall Measuring Mission (TRMM 3B43v7) and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), with a GR2M hydrological water balance model over a diversified terrain of the Awash River Basin in Ethiopia. Nash–Sutcliffe efficiency (NSE), percent bias (PBIAS), coefficient of determination (R2), and root mean square error (RMSE) and Pearson correlation coefficient (PCC) were used to evaluate the satellite rainfall products and hydrologic model performances of the basin. The satellite rainfall estimations of both products showed a higher PCC (above 0.86) with areal observed rainfall in the Uplands, the Western highlands, and the Lower sub-basins. However, it was weakly associated in the Upper valley and the Eastern catchments of the basin ranging from 0.45 to 0.65. The findings of the assimilated satellite rainfall products with the GR2M model exhibited that 80% of the calibrated and 60% of the validated watersheds in a basin had lower magnitude of PBIAS (<±10), which resulted in better accuracy in flow simulation. The poor performance with higher PBIAS (≥±25) of the GR2M model was observed only in the Melka Kuntire (TRMM 3B43v7 and PERSIANN-CDR), Mojo (PERSIANN-CDR), Metehara (in all rainfall data sets), and Kessem (TRMM 3B43v7) watersheds. Therefore, integrating these satellite rainfall data, particularly in the data-scarce basin, with hydrological data, generally appeared to be useful. However, validation with the ground observed data is required for effective water resources planning and management in a basin. Furthermore, it is recommended to make bias corrections for watersheds with poorlyww performing satellite rainfall products of higher PBIAS before assimilating with the hydrologic model.

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HYDROLOGIC BEHAVIOUR OF HIGHLAND CATCHMENT IN HUMID TROPICAL REGION USING QSWAT MODEL

June-2020 - International Journal of Engineering Sciences & Research Technology ◽

10.29121/ijesrt.v9.i6.2020.16 ◽

2020 ◽

Vol 9 (6) ◽

pp. 95-103

Keyword(s):

Water Resources ◽

Water Balance ◽

River Basin ◽

Assessment Tool ◽

Annual Rainfall ◽

Tropical Region ◽

Water Balance Components ◽

Monthly Streamflow ◽

Average Annual Rainfall ◽

Tropical Watersheds

Water resources planning and management of a region requires an understanding of the water balance in the region. The Soil and Water Assessment Tool (SWAT) with QGIS interface (QSWAT) has been used here to arrive at the water balance components in the Palapuzha watershed of Valapattanam river basin in Kerala. Valapattanam river drains an area of 1867 sq.km. with 456 sq.km. area in Karnataka State. The river basin receives an average annual rainfall of 3600 mm. The Palapuzha watershed drains an area of 237.25 sq.km with an average annual rainfall of 4562 mm. The QSWAT model has been calibrated and validated using data for a period of eight years (2000-2007) for which both rainfall and streamflow data are available. The model was successful in simulating monthly streamflow during the calibration and validation periods with Nash Sutcliffe efficiency and correlation co-efficient greater than 0.75 and percent bias less than 10%, showing that the model is very good for predicting streamflow in Valapattanam river basin. This calibrated model was used to arrive at the different water balance components in the Palapuzha watershed. The results obtained will be useful for the sustainable development and planning of the water resources system in the highland humid tropical watersheds

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WATER RESOURCES STATUS AND AVAILABILITY ASSESSMENT IN CURRENT AND FUTURE CLIMATE CHANGE SCENARIOS FOR BEAS RIVER BASIN OF NORTH WESTERN HIMALAYA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xli-b8-1389-2016 ◽

2016 ◽

Vol XLI-B8 ◽

pp. 1389-1396 ◽

Cited By ~ 4

Author(s):

S. P. Aggarwal ◽

P. K. Thakur ◽

V. Garg ◽

B. R. Nikam ◽

A. Chouksey ◽

...

Keyword(s):

Climate Change ◽

Water Resources ◽

Water Balance ◽

River Basin ◽

Hydrological Modelling ◽

Future Climate ◽

Future Climate Change ◽

Climate Change Scenarios ◽

Water Balance Components ◽

Vic Model

The water resources status and availability of any river basin is of primary importance for overall and sustainable development of any river basin. This study has been done in Beas river basin which is located in North Western Himalaya for assessing the status of water resources in present and future climate change scenarios. In this study hydrological modelling approach has been used for quantifying the water balance components of Beas river basin upto Pandoh. The variable infiltration capacity (VIC) model has been used in energy balance mode for Beas river basin at 1km grid scale. The VIC model has been run with snow elevation zones files to simulate the snow module of VIC. The model was run with National Centre for Environmental Prediction (NCEP) forcing data (Tmax, Tmin, Rainfall and wind speed at 0.5degree resolution) from 1 Jan. 1999 to 31 Dec 2006 for calibration purpose. The additional component of glacier melt was added into overall river runoff using semi-empirical approach utilizing air temperature and glacier type and extent data. The ground water component is computed from overall recharge of ground water by water balance approach. The overall water balance approach is validated with river discharge data provided by Bhakra Beas Management Board (BBMB) from 1994-2014. VIC routing module was used to assess pixel wise flow availability at daily, monthly and annual time scales. The mean monthly flow at Pandoh during study period varied from 19 - 1581 m3/s from VIC and 50 to 1556 m3/sec from observation data, with minimum water flow occurring in month of January and maximum flow in month of August with annual R2 of 0.68. The future climate change data is taken from CORDEX database. The climate model of NOAA-GFDL-ESM2M for IPCC RCP scenario 4.5 and 8.5 were used for South Asia at 0.44 deg. grid from year 2006 to 2100. The climate forcing data for VIC model was prepared using daily maximum and minimum near surface air temperature, daily precipitation and daily surface wind speed. The GFDL model also gives validation phase scenarios from 2006 to 2015, which are used to test the overall model performance with current data. The current assessment made by hydrological water balance based approach has given reasonable good results in Beas river basin. The main limitation of this study is lack of full representation of glacier melt flow using fully energy balance model. This component will be addressed in coming time and it will be integrated with tradition hydrological and snowmelt runoff models. The other limitation of current study is dependence on NCEP or other reanalysis of climate forcing data for hydrological modelling, this leads to mismatch between actual and simulated water balance components. This problem can be addressed if more ground based and fine resolution grid based hydro meteorological data are used as input forcing data for hydrological modelling.

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MODELING WATER YIELD AND WATER BALANCE OF LOWER BENUE RIVER BASIN FOR SUSTAINABLE WATER MANAGEMENT

UMUDIKE JOURNAL OF ENGINEERING AND TECHNOLOGY ◽

10.33922/j.ujet_v5i1_8 ◽

2019 ◽

pp. 60-73

Keyword(s):

Water Resources ◽

Water Balance ◽

River Basin ◽

Stream Flow ◽

Assessment Tool ◽

Surface Flow ◽

Water Yield ◽

Distributed Hydrological Model ◽

Climate Data ◽

Physically Based

The use of hydrologic models to predict the relevant processes occurring within a catchment will serve as a veritable tool for water managers and planners for a sustainable management of water resources especially in the absence of quality and reliable data. The Soil and Water Assessment Tool (SWAT), a physically based semi-distributed hydrological model interfaced with MapWindows GIS software was used to simulate the different components of water balance and estimation of water yield of the Lower Benue River Basin in Nigeria. Climate data of three weather stations; Lokoja, Makurdi and Ibi located close to the catchment were used to simulate the stream flow of the catchment. The model was calibrated and validated using measured streamflow at Makurdi gauging station and subsequently used to predict the water balance and water yield of the catchment. Model evaluation gave R2 value of 0.79 and RSR of 0.45 for the calibration period, while R2 of 0.74 and RSR of 0.51 were recorded for validation of the model indicating a reasonable agreement between the measured and simulated flows. The prediction of water balance showed that more than a third of the water loss from the catchment is due to evapotranspiration. Sub-surface flow accounted for over 50% of the water balance simulation, while stream flow yielded only 10% as a result of the shallow slopes of the study area. The maximum water yield recorded in the study area occurred in 2009 with a value of 162,862mm representing 8.74% for the 20 year period while the lowest water yield for the period occurred in 2015 with 45,458mm representing 2% of the total water yield for the period. Overall, results show a progressive reduction in streamflow and precipitation since 2012 in the catchment and 2015 recorded the least values for the period of study. These findings show that SWAT is a viable tool for predicting future scenarios for water resources management in the catchment.

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HOUSEHOLD WATER BALANCE AND ASSESSMENT OF WATER VOLUME FOR IRRIGATION IN AGRO LANDSCAPES OF THE KYZYLSU-YUZHNAYA BASIN

Prirodoobustrojstvo ◽

10.26897/1997-6011-2020-5-102-109 ◽

2020 ◽

pp. 102-109

Author(s):

D.KH. DOMULLODZHANOV ◽

◽

R. RAHMATILLOEV

Keyword(s):

Water Balance ◽

River Basin ◽

Water Use ◽

Storage Systems ◽

Low Cost ◽

Field Studies ◽

Water Volume ◽

Land Productivity ◽

Household Water ◽

And Storage

The article presents the results of the field studies and observations that carried out on the territory of the hilly, low-mountain and foothill agro landscapes of the Kyzylsu-yuzhnaya (Kyzylsu-Southern) River Basin of Tajikistan. Taking into account the high-altitude location of households and the amount of precipitation in the river basin, the annual volumes of water accumulated with the use of low-cost systems of collection and storage of precipitation have been clarified. The amount of water accumulated in the precipitation collection and storage systems has been established, the volume of water used for communal and domestic needs,the watering of livestock and the amount of water that can be used to irrigate crops in the have been determined. Possible areas of irrigation of household plots depending on the different availability of precipitation have been determined. It has been established that in wet years (with precipitation of about 10%) the amount of water collected using drip irrigation will be sufficient for irrigation of 0.13 hectares, and in dry years (with 90% of precipitation) it will be possible to irrigate only 0.03 ha of the household plot. On the basis of the basin, the total area of irrigation in wet years can be 4497 ha, and in dry years only 1087 ha. Taking into account the forecasts of population growth by 2030 and an increase in the number of households, the total area of irrigation of farmlands in wet years may reach 5703 hectares,and in dry years – 1379 hectares. Growing crops on household plots under irrigation contributes to a significant increase in land productivity and increases the efficiency of water use of the Kyzylsu-yuzhnaya basin.

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