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Civil Engineering Department Watershed Design Laboratory

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Presentation on theme: "Civil Engineering Department Watershed Design Laboratory"— Presentation transcript:

1 Civil Engineering Department Watershed Design Laboratory
Ritsumeikan University Graduate School of Science and Engineering Advanced Architectural, Environmental and Civil Engineering Master Thesis Defense FLOOD RUNOFF ANALYSIS AND WATER AVAILABILITY FOR INTEGRATED RIVER BASIN MANAGEMENT PLANNING IN PANJ-E-AMU Presenter: Fayezurahman Azizi ID : Academic advisor: Prof.Satofuka Yoshifumi Civil Engineering Department Watershed Design Laboratory Date: Panj-e-Amu Basin in the Upper Panj area (Panj River)

2 Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review
Study area and Dataset Chapter 4. Approach and Methodology Chapter 5. Flood Runoff Analysis Chapter 6. Hydrological Analysis for Water Availability Chapter 7. Conclusions and Recommendation

3 Introduction overview Afghanistan is divided to five major basin
Over 80% percent of the population relies directly on the natural resources of the River basins. Provides the Upstream water of four major river basin that flow into neighboring countries The restructuring of river basins was started in 2011 The IWRM concept in the river basins is to promote a decentralization of water resource management and water planning into river basin-level and sub-basin level management.

4 Problems and issues Lack of Water Resources planning throughout the River Basin Environmental degradation Extreme flood disaster and erosion problems The lack of historical data Demand for water needs has dramatically increased Darqad Sheberghan Balkh Samangan Kunduz Takhar The most Vulnerable cities along Amu River Taloqan River Kokcha River Kunduz River Dashti-Qala Kaldar Hairatan A O E D Darqad

5 Objectives The specific objectives are:
The purpose of this study is how to analyze flood runoff and evaluate water availability based on the hydrological process using the IFAS and WEAP models , to utilize its result as a step for integrated river basin management planning and dams’ feasibility. The specific objectives are: Calculating rainfall-runoff for flood runoff analysis and estimate flood probability Compare the correlation of GSMAP-NRT estimated rainfall and river discharge data by IFAS with ground based data. Calculating the annual average rainfall loss , effective rainfall and water loss Estimate the supply ability of the basin to its future water demands Assess the direct runoff coefficient of river regime flow , water availability and basin characteristics

6 Study Area This Basin accounts for about 57% percent of the annual water discharge of the country Estimated irrigation area total is about 424,000 ha

7 Dataset and characteristics of The Panj-e-Amu River Basin
New Stations at the same location of old H.ST New Hydrological Stations Existing Dam The 32 Hydrological stations data are still available The annual average precipitation is about 400 mm ( ) annual average temperature is about 13.6 C ( ) Max (43.2C◦) Lower Kunduz basin Min (-32.7C◦) Upper Panj basin The terrain (DEM) of the Basin ranges from 200 m to 7470 m Two Irrigation and hydropower dam Location of the Stations Bare Rock with loamy very fine sand is covered the most part of the basin while Silt Loam is the second and Rock with Loamy Very Fine Sand is the third

8 Approach and Methodology
For the Watershed Design sustainability, development of integrated management planning aspects, must be considered. Be able to analyze and control flood disaster to reduce the economic damages Be able to allocate water balance of the basin for prospective planning Be able to assess the river basin characteristics and ability The Following Approaches and methodology used in this study IFAS Gumbel extreme-value distribution Data collection /Handling WEAP Model Water Evaluation and planning Flood Runoff analysis Flood Frequency analysis/Return periods, Probability exceedance Hydrological Process /water Availability, Rainfall losses Water Allocation River basin Management planning Future Water Demands Supply Integrated Flood Analysis System Hydrological Data Meteorological Data Geological Data 𝑥 𝑇 = 𝑥 +𝐾 𝜎 𝑛−1

9 IFAS Processing Structure
Display of results Runoff analysis Modeling Rainfall Data IFAS Processing structure PWRI-Distributed Model Ver2.0 Tables & Graphs satellite- based rainfall data -GSMAP-NRT(JAXA) Building channel network, Importing Target Elevation and Land Use (GLCC-USGS) Global Map (ISCGM) spatial resolution 30 sec Kokcha Ground-based rainfall data (WRD-Stations) Estimation and Modifies Water Tanks Parameter Flow of surface IFAS is an Integrated Flood Analysis System, calculates river discharge based on GIS data . Entire World Rainfall Data are Available IFAS goal is oriented to the developing countries which is lack of hydro meteorological data .

10 Create Area (Kokcha Sub- Basin) Make and Compared Scenarios
Processing Structure WEAP is an unique approach for conducting integrated water resources planning assessments Calculates water demand, supply, runoff, reservoir and power production under different hydrologic and policy scenarios Evaluates a full range of water development and management options WEAP Processing Schematic data of the basin Create Area (Kokcha Sub- Basin) Insert GIS Layer Create Account years ( ) for calculation Draw River Line Inter Monthly Average Flow Demand Priority (Faizabad City , Agriculture) Connect Demand With Supply Connect return flow link Make and Compared Scenarios Change Irrigation Rate Change Growth rate Pop (2.4,3, 5%) scenarios References scenario ( ) Reservoirs and Power Production calculations Modeling Runoff-River Power Plant Hydropower Computation Kokcha (Modeling Reservoirs ) Results of Calculations Schematics Tables Charts Run the WEAP for calculation Start

11 Results and Discussions - Flood Runoff Analysis by IFAS
Summary of Flood Limits (M3/Sec) For The Panj-e-Amu River Basin, April,2012 Based on GSMAP-NRT Rainfall(mm) data Base on Hourly Ground Rainfall(mm) Measurement Discharge No Station River Low- Flood Medium-Flood High-flood Low- Discharge Medium-Discharge High-Discharge 1 Khojaghar Kokcha 419.08 569.35 599.42 451 682.13 102.00 137.5 190.00 2 Faizabad 193.58 287.37 389.82 245.51 421.49 666.13 127 148.2 169.00 3 Keshem 47.59 67.19 70.20 57.74 81.82 126.96 6 7.5 9.00 4 Teshkan 15.81 24.19 25.58 18.28 30.23 48.96 8.8 8.9 9.1 5 Anjuman munjan 7.26 9.59 10.00 8.15 12.8 22.82 1.12 1.2 1.32 Jurm 2.18 2.57 2.65 1.86 3.42 5.29 23.6 30.9 33.4 7 Baharak Shuhada 6.40 8.89 9.30 19 32.38 9 10.0 11 8 Shashpul 4.34 6.03 6.35 21.69 32 55.83 24.8 27.1 30.1 Location of Hydrological Stations are used for calculation/IFAS Khojaghar The IFAS by using the data of Satellite GSMAP-NRT rainfall calculated the peak discharge of magnitude m3/sec on 2012/04/15 at 24 hours. While the IFAS by using the data of ground rainfall calculated the peak discharge of magnitude 1101 m3/sec on 2012/04/29 at 24 hours. Kokcha

12 Results and Discussions - Flood Runoff Analysis
The IFAS showed high river course discharge with GSMAP-NRT rainfall than measured data in most cases The base flow and peak discharge calculated based on Ground rainfall (Hourly and Daily) are shown the highest in each and every case The discharge calculated by the Satellite GSMAP_NRT rainfall is well agreement with the measured discharge in some places The tendency and total amount values of rainfall based GSMAP-NRT are smaller ,but in case heavy rainfall event over mm/h, the tendency and amount of some points are near to each other’s The correlation of satellite-based rainfall and ground-based rainfall is almost ,50%

13 Results (Cont) - Gumbel extreme-value distribution method
First graph Shows the probability of flood frequency period based on years data The Probable floods Hydrograph is prepared by using a recorded flood Peak for the interval of 1.01 ,5000 years. The calculation result shows for the 100 year a 4369 m3/Sec maximum probable flood The May 22, 1969 flood, which was observed 1550 m3/Sec, as a maximum flood during the period of ,

14 Result (Cont) - Future water Demands and Resources
This Graph shows the estimated of the water supply for the future demands with a high population growth rate scenario in Faizabad City, which is increase the Shortages of water for the Irrigations land. Faizabad city Proposed Dam “Shurabak” Proposed Dam “Qala-i-Mamay”

15 An average of about 32% rainfall losses are showing in this Basin
Result (Cont) - Rainfall Loss with Effective Rainfall Rate & direct runoff coefficient analysis An average of about 32% rainfall losses are showing in this Basin An average of approximately 50 % water loss showing an annual average of around 0.53 mm effective rainfall and a total of about mm 503. 136 473 300. 237 401 12.8 313 257 467 379 466 144 30 294 202 268 28 165 54 shows a large different direct runoff coefficient because of very rare rainfall on peak discharge timing in the dry season

16 Result (Cont) - Mean Annual Runoff & River Flow Regime analysis of Panj-e-Amu River Basin
The mean annual runoff capacity is estimated 40 BCM (Billion Cubic Meter) per year The spring/summer high‐water flow contributes around 79% of the total annual flow discharged into the Basin. The Khojaghar data presented 77% while Faizabad covered about 82%

17 Conclusion The Integrated Flood Analysis System model (IFAS) result was not satisfactory with measured and observed data in Panj-e-Amu Basin. The input data of Ground Surface-Based rainfall could improve the flood runoff inflow of the IFAS simulation. Flood peaks in the Panj-e-Amu River Basin is more influenced by snow melting while the air temperature is increasing during the summer in the mountainous area. The Water balance method is more suitable in the estimation of Rainfall losses. Panj-e-Amu River Basin has great ability for prospective and comprehensive planning.

18 Recommendations More accurate adequate validation data of the basin and extension of Hydro meteorological networks in upstream are required for the Future sustainability and Planning. For a comprehensive and sustainable watershed design in the future of Panj-e-Amu, the key association elements, including geological data, real demography ,people life style, a more accurate assessment of land cover, land use , soil type , geo-morphology development is required. Its important to modify parameters of IFAS to be appropriate with the particular river basin.

19 Thanks For Your Attention
ご清聴ありがとうございました


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