Submitted:
04 May 2025
Posted:
07 May 2025
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Structure of the MUSIASEM Analytical Framework
2.3. The Water-Food-Energy Nexus System
2.4. Quantification of Processor Elements and the Nexus System
3. Results
3.1. Local Water Supply
3.1.1. Iran
3.1.2. Afghanistan
3.2. Local Food Supply
3.2.1. Iran
3.2.2. Afghanistan
3.3. Local Energy Supply
3.3.1. Iran

3.3.2. Afghanistan

3.4. Water-Food-Energy Nexus System of the Harirud River Basin
3.5. Assessment of the Status of Some Processor Components Based on Numerical Indicators at the Country Level
3.5.1. Food Sector Indicators
3.5.2. Water Sector Indicators
4. Discussion
5. Conclusion
References
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| Main Sector | Data Type | Method of Collection/Calculation | Source/Reference | |
| Iran | Afghanistan | |||
|
Water |
Evapotranspiration Precipitation |
Remote Sensing Data | Global Land Data Assimilation System (GLDAS) Data period:2000-2021 Spatial resolution: 0.25, 1 |
|
| Dam information |
Data collection |
Ministry of Energy, Macro Planning Office for Water and Wastewater. Final Report (2011). Updated Studies of the Country (Ghareh Ghum Basin) Volume 4: Surface Water Resources Volume 11: Balance of Resources and consumption |
Nagheeby et al (2019) Based on statistics provided in the Iran section |
|
| Water Withdraw |
Calculation based on cultivated area and gross irrigation requirement |
Agriculture: Gross water requirement from NETWAT Drink Water and Services: Regional Water Company of Khorasan Razavi, Per Capita and Profile Water Data Period:2016-2022 Industries: Iran Water Resourses Management, Report of Ministry of Industry, Mine and Trade (2021) |
Agriculture: Gross water requirement Based on ET0 Calculator Fao/KC extracted from Fao irrigation and drainage paper No.56 Drink water: Based on the study by Ahmadi and heravi (2024) and Population (Calculating per capita consumption) Industries: Based on the number of industrial units extracted from the study area map and the amount of water consumed by similar units in the Iranian sector |
|
| Operating wells Information | Data Collection | Ministry of Energy, Iran water resources management Company, Water Resources Basic Studies Statistics |
____ |
|
| Electricity for groundwater pumping | Calculation with Formula 1 and 2: Monem et al (2019) | Calculating fuel and electricity for the pumping process is not possible for the Afghanistan sector due to lack of data | ||
| Fuel consumption for pumping water Renewable Water (for Calculate the Andicators) |
Calculation with Formula 3 Calculation with Formula 4: Fengping et al.(2022) |
|||
|
Food |
Cultivated surface Crop Pattern Crop Production |
Data Collection | Ministry of Jihad Agriculture Khorasan Razavi, Statistical yearbook Data period:2011-2021 |
Land Use Map ESA Data Period:2000-2021 Ministry of Agriculture, Irrigation and Livestock, Annual report of agriculture Data Period:2019-2022 |
| Separation of blue and green water consumption | Based on the amount of effective precipitation and Potential evapotranspiration | Based on the USDA method: Pe=min(Total Precipitation, ETp) ET blue = max (0, ETp-Pe) ET green = min (Etp, Pe) |
||
| Losses per capita consumption Trade Quantity |
Data Collection Based on per capita national consumption Calculation based on the difference between agricultural product imports and exports and estimation of the basin's share of the country's total trade. (FaizAbadi (2022)) |
FAO STAT, Food Balance Data Data Period:2000-2021 app.indexbox.io, Market Data (For years without statistics in FAO) |
||
| Agricultural consumables chemical fertilizers, seeds, labor Technical coefficients |
Calculation with Formula 5: El Gafy (2017) Data Collection |
Ministry of Agriculture Jihad, Deputy of Planning and Economic, Annual statistics on the costs of agricultural product cultivation Data Period:2011-2021 |
Basiri(2013) Soltani and khajehpour (2020) |
|
|
Energy |
Technical information of Generating Plant Amount of energy exchanges |
Data Collection Data Collection |
Ministry of Energy, Energy balance book Data Period:2018-2021 Safai., V (2018) Khorasan Regional Electric Company, Summary of power plant production status (2021) |
Report of GIZ Afghanistan (2015) Report of Asian Development Bank, Power Sector Master Plan Afghanistan (2013) |
|
The amount of carbon dioxide emitted in the electricity generation process |
Calculation with Formula 6 Bakhsi (2023) |
______ | ||
| The annual flow rate passing through the turbine for generating electricity (Hydropower plant) | Calculation with Formula 7 | The hydropower plant exists only in the Afghanistan sector | ||
| Reference | Unit |
Energy coefficients MJ/unit |
Energy source |
| Ozkan rt al,2004 | h | 1/96 | Human labor |
| Ozkan rt al,2005 | Kg | 62/7 | Machinery |
| Rafiee et al,2010 | Kg | 66/14 | Nitrogen |
| Rafiee et al,2011 | Kg | 12/44 | Phosphate |
| Yilmaz et all,2011 | Kg | 11/11 | Potassium |
| Yilmaz et all,2012 | Kg | 24/88 | Seed |
| Erdal et al. (2007 | L | 56/31 | Fuel (Diesel) |
| Ozkan rt al,2004 | kwh | 3/6 | Electricity |
|
Food indicators | |||
|
Indicator |
Formula |
Reference |
Description |
| Blue Water Use productivity | (Howell,2001) | The (WUE) index in agriculture measures how effectively water is used to produce crops. | |
|
Land Water Use Productivity |
(Zwart & Bastiananssen,2004) |
The CWP index measures the efficiency of water use in crop production. | |
|
Land productivity |
(Kambouzia.,2010) | indicator used to measure the amount of agricultural production per unit of land. It is essential for evaluating farm efficiency. | |
|
Water indicators | |||
| Falkenmark indicator | (Falkenmark,1989) |
It calculates the annual freshwater availability per person, and it is typically expressed in cubic meters per capita per year (m³/capita/year).
Classification Range: < 500 m³/capita: Severe water scarcity 500–1,000 m³/capita: Water scarcity > 1,000 m³/capita: Water stress or adequate water |
|
| Water withdrawal index | UN-water (2018) |
The index helps assess the pressure on water resources and is used to monitor the sustainability of water consumption in different regions.
Classification Range: <20%: Stable situation 20–40 %: low Water scarcity > 40%: Sever water stress |
|
| Ground water withdrawal | Khazaei et al. (2018) | It is used to evaluate the extent to which groundwater is being withdrawn relative to total water withdrawals in region. | |
| Food water scarcity | Rockstrom et al. (2014) | It is useful for assessing the sustainability of freshwater resources. It helps identify regions under high water stress | |
| Food indicators | ||||||
| LP(Kg/ha) | LWUP(kg/m^3) | BWUP(kg/m^3) | ||||
| Products | Iran | Afghanistan | Iran | Afghanistan | Iran | Afghanistan |
| Cereals | 2330/5 | 1953/5 | 0/57 | 0/35 | 1/84 | 0/76 |
| Industrial Products | 21943/6 | 5592/3 | 2/53 | 0/66 | 2/53 | 0/69 |
| Pulses* | 748/7 | 1660/8 | 0/13 | 0/24 | 0/14 | 0/29 |
| Vegetables | 35056/1 | 13576/4 | 4/22 | 1/58 | 4/75 | 1/65 |
| Melons | 20384/0 | 13190/8 | 3/46 | 2/38 | 4/13 | 2/99 |
| Forage | 29941/8 | 13546/6 | 0/94 | 0/58 | 2/31 | 1/45 |
| Sunflower | - | 1208.3 | - | 0.16 | - | 0/18 |
| Fruits | 13263/0 | 7420/9 | 2.17 | 1/17 | 2.26 | 1/12 |
| Pistachio | 729/1 | - | 0.074 | - | 0.097 | - |
| Saffron |
3/62 |
2/2 |
0.001 | 0.00035 |
0.001 |
0.0003 |
| Water Indicators |
||||||
| Iran | Afghanistan | |||||
|
Water Withdrawal index |
0.875 | 0.456 | ||||
| Falken mark indicator | 415.909 | 1011.236 | ||||
| Ground water withdrawal | 0.664 | 0.185 | ||||
| Food water scarcity |
0.813 | 0.434 | ||||
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