Adamson, D., Mallawaarachchi, T., & Quiggin, J. (2007). Water use and salinity in the Murray– Darling Basin: A state‐contingent model. Aus¬tralian Journal of Agricultural and Resource Economics, 51(3), 263–281. https://doi.org/10.1111/ j.1467-8489.2007.00380.x
Crossref
Google Scholar
Akbari, M., Mirchi, A., Roozbahani, A., Gafurov, A., Bjørn, K., & Torabi Haghighi, A. (2022). Desic¬cation of the Transboundary Hamun Lakes between Iran and Afghanistan in Response to Hydro-climatic Droughts and Anthropogenic Activities. Journal of Great Lakes Research, 3(4), 1–13. https://doi.org/10.1016/j.jglr.2022.05.004
Crossref
Google Scholar
Armitage, D., De Loë, R.C., Morris, M., Ed¬wards, T.W., Gerlak, A.K., Hall, R.I., Huitema, D., Ison, R., Livingstone, D., MacDonald, G., Miru¬machi, N., Plummer, R. ... & Wolfe, B.B. (2015). Science–policy processes for transboundary wa¬ter governance. Ambio, 44(5), 353–366. https:// doi.org/10.1007/s13280-015-0644-x
Crossref
Google Scholar
Balibrea-Iniesta, J., Rodríguez-Monroy, C., & Núñez- Guerrero, Y.M. (2021). Economic analysis of the German regulation for electrical generation projects from biogas applying the theory of real options. Energy, 231(2), 41–50. https://doi.org/ 10.1016/j.energy.2021.120976
Crossref
Google Scholar
Banerjee, A., & Maji, P. (2016). Rough-probabilistic clustering and hidden Markov random field model for segmentation of HEp-2 cell and brain MR images. Applied. Soft Computing, 46(2), 558–576. https://doi.org/10.1016/j.asoc.2016.03.010
Crossref
Google Scholar
Bethwell, C., Sattler, C., & Stachow, U. (2022). An analytical framework to link governance, agricultural production practices, and the provision of ecosystem services in agricultural landscapes., Ecosystem Services, 53(2), 101–119. https://doi.org/10.1016/j.ecoser.2021.101402
Crossref
Google Scholar
Blackstock, K.L., Novo, P., Byg, A., Creaney, R., Juarez Bourke, A., Maxwell, J.L., Tindale, S.J., & Waylen, K.A. (2021). Policy instruments for environmental public goods: interdependencies and hybridity. Land Use Policy, 107(1), 104–109. https://doi.org/10.1016/j.landusepol.2020.104709
Crossref
Google Scholar
Bohutskyi, P., Chow, S., Ketter, B., Shek, C.F., Yacar, D., Tang, Y., Zivojnovich, M., Betenbaugh, M.J., & Bouwer, E.J. (2016). Phytoremediation of agriculture runoff by filamentous algae poly-culture for bio-methane production, and nutrient recovery for secondary cultivation of lipid generating microalgae. Bio-resource Technology, 222(3), 294–380. https://doi.org/10.1016/j. biortech.2016.10.013
Crossref
Google Scholar
Burkhard, B., de Groot, R., Costanza, R., Seppelt, R., Jørgensen, S.E., & Potschin, M. (2012). Solutions for sustaining natural capital and ecosystem services. Ecological Indicators, 21(3), 1–6. https:// doi.org/10.1016/j.ecolind.2012.03.008
Crossref
Google Scholar
Cheng, M. (2016). A generalized constant elasticity of substitution production function model and its application. Journal of Systems Science and Information, 4(3), 269–279. https://doi. org/10.21078/JSSI-2016-269-11
Crossref
Google Scholar
Chowdhury, T.H. (2021). Technical-economical analysis of anaerobic digestion process to produce clean energy. Energy Reports, 7(1), 247–253. https://doi.org/10.1016/j.egyr.2020.12.024
Crossref
Google Scholar
Connor, J.D., Schwabe, K., King, D., & Knapp, K. (2012). Irrigated agriculture and climate change: the influence of water supply variability and salinity on adaptation. Ecological Economics, 77, 149–157. https://doi.org/10.1016/j.ecolecon. 2012.02.021
Crossref
Google Scholar
De Stefano, L., Duncan, J., Dinar, S., Stahl, K., Strze¬pek, K.M., & Wolf, A.T. (2012). Climate change and the institutional resilience of international river basins. Journal of Peace Research, 49, 193–209. https://doi.org/10.1177/0022343311427
Crossref
Google Scholar
De Vries, M., & de Boer, I.J.M. (2010). Comparing environmental impacts for livestock products: a review of life cycle assessments. Livestock Science, 128(2), 1–11. https://doi.org/10.1016/j. livsci.2009.11.007
Crossref
Google Scholar
Dixon, P.B., & Jorgenson, D. (Eds.). (2012). Handbook of computable general equilibrium modeling (Vol. 1). Newnes.
Crossref
Google Scholar
Ghalehteimouri, K.J., Ros, F.C., & Rambat, S. (2023). Flood risk assessment through rapid urbanization LULC change with destruction of urban green infrastructures based on NASA Landsat time series data: A case of study Kuala Lumpur between 1990–2021. Acta Ecologica Sinica. https:// doi.org/10.1016/j.chnaes.2023.06.007
Crossref
Google Scholar
Ghalehteimouri, K.J., Shamsoddini, A., Mousavi, M.N., Ros, F.B.C., & Khedmatzadeh, A. (2022). Predicting spatial and decadal of land use and land cover change using integrated cellular automata Markov chain model based scenarios (2019–2049) Zarriné-Rūd River Basin in Iran. Environmental Challenges, 6, article 100399. https://doi.org/10.1016/j.envc.2021.100399
Crossref
Google Scholar
Gleick, P., & Iceland, C. (2018). Water, security and conflict. Water Resources Institute. Retrieved from: https://www.wri.org/research/water-security-and-conflict (10.05.2023).
Google Scholar
Guo, S., Zhang, F., Engel, B.A., Wang, Y., Guo, P., & Li, Y. (2022). A distributed robust optimization model based on water-food-energy nexus for irrigated agricultural sustainable development. Journal of Hydrology, 606(4), 12–19. https://doi. org/10.1016/j.jhydrol.2021.127394
Crossref
Google Scholar
Haqiqi, I., & Horeh, M.B. (2021). Assessment of COVID-19 impacts on US counties using the immediate impact model of local agricultural production (IMLAP). Agricultural Systems, 190, article 103132. https://doi.org/10.1016/j. agsy.2021.103132
Crossref
Google Scholar
Herbes, C., Rilling, B., & Ringel, M. (2021). Policy frameworks and voluntary markets for bio-methane – How do different policies influence providers’ product strategies? Energy Policy, 153(1), 82–91. https://doi.org/10.1016/j.enpol.2021.112292
Crossref
Google Scholar
Janparvar, M., Ghalehteimouri, K.J., Mazandrani, D., & Mousavi, M. (2022). Investigating impact of weaknesses and strengtheners local and national factors in border cities’ development: Case of study Javanrood city, Iran. https://doi.org/10.21203/ rs.3.rs-2344069/v1
Crossref
Google Scholar
Jongeneel, R.A. (2018). Research for AGRI Committee – The CAP support beyond 2020: assessing the future structure of direct payments and the rural developments interventions in the light of the EU agricultural and environmental challenges, Brussels: European Parliament, Policy Department for Structural and Cohesion Policies. Retrieved from: http://www.europarl.europa. eu/RegData/etudes/STUD/2018/617502/IPOL_ STU(2018)617502_EN.pdf (02.07.2022).
Google Scholar
Kamran, J. G., Musa, K. K., & Sadegh, G. F. (2020). An Investigation Into Urban Development Patterns With Sprawl and Other Corresponding Changes: A Case Study of Babol City. Journal of Urban Culture Research, 20, 26–43. https://doi. org/10.14456/jucr.2020.2
Google Scholar
Kojuri, M. K., Ghalehteimouri, K. J., Janbazi, A., & Azizpour, F. (2020). Urban sprawl functional-structural changes in neighborhood settlements: Case of study Shiraz. The Indonesian Journal of Geography, 52(2), 260–268. https://doi. org/10.22146/ijg.41303
Crossref
Google Scholar
Li, J., Wang, X., Kim, H.H.M., Gates, R.S., & Wang, K. (2021). Optimal design of manure management for intensive swine feeding operation: a modeling method based on analytical target cascading, Journal of Cleaner Production, 282(4), 45–50. https://doi.org/10.1016/j.jclepro.2020.124550
Crossref
Google Scholar
Liu, Y., Ibrahim, J.A., & Sin, F.Y. (2022). Emergy-based valuation for agricultural ecosystem in Shangri-La County, tourism region in Yunnan Province, China. Energy Reports, 8(6), 668–676. https://doi.org/10.1016/j.egyr.2022.03.102
Crossref
Google Scholar
Maes, J., Teller, A., Erhard, M., Liquete, C., Braat, L., Berry, P., Egoh, B., Puydarrieux, P., Fiorina, C., San¬tos, F., Paracchini, M.L., Keune, H., Wittmer, H., Hauck, J., Fiala, I., Verburg, P.H., Conďe, S., Schägner, J.P., San Miguel, J., Estreguil, C., Ostermann O., Barredo, J.I., Pereira, H.M., Stott, A., Laporte, V., Meiner, A., Olah, B., Royo Gelabert, E., Spyropoulou, R., Petersen, J.E., Maguire, C., Zal, N., Achilleos, E., Rubin, A., Le¬doux, L., Brown, C., Raes, C., Jacobs, S., Vande¬walle, M., Connor, D., & Bidoglio, G. (2013). Mapping and Assessment of Ecosystems and their Services. An analytical framework for ecosystem assessments under Action 5 of the EU Biodiversity Strategy to 2020. Publications Office of the Euro¬pean Union, Luxembourg.
Google Scholar
Ministry of Agriculture Jihad. (2023). Retrieved from: https://www.maj.ir/page-NewEnMain/en/0 (10.05.2023).
Google Scholar
Nakamya, M., & Romstad, E. (2020). Ethanol for an agriculture-based developing economy: A computable general equilibrium assessment for Uganda. Energy for Sustainable Development, 59, 160–169. https://doi.org/10.1016/j.esd.2020.10.003
Crossref
Google Scholar
NASA-Landsat. (2023). Retrieved from: https:// landsat.gsfc.nasa.gov/data/ (10.05.2023).
Google Scholar
Ortega Álvarez, J.F., de Juan Valero, J.A., Tarjuelo Martín-Benito, J.M., & López Mata, E. (2004). MOPECO: an economic optimization model for irrigation water management. Irrigation Science, 23(2), 61–75. https://doi.org/10.1007/s00271-004- 0094-x
Crossref
Google Scholar
Pahl-Wostl, C., & Kranz, N. (2010). Water governance in times of change. Environmental Science & Policy, 13(7), 567–660. https://doi.org/10.1016/j. envsci.2010.09.004
Crossref
Google Scholar
Peña-Haro, S., Llopis-Albert, C., Pulido-Ve¬lazquez, M., & Pulido-Velazquez, D. (2010). Fer¬tilizer standards for controlling groundwater ni¬trate pollution from agriculture: El Salobral-Los Llanos case study, Spain. Journal of Hydrology, 392(3–4), 174–187. https://doi.org/10.1016/j. jhydrol.2010.08.006
Crossref
Google Scholar
Peters, G. (2015). Is there any need for rough clus¬tering? Pattern Recognition. Letters, 53(2), 31–37. https://doi.org/10.1016/j.patrec.2014.11.003
Crossref
Google Scholar
Ren, C., Zhang, X., Reis, S., & Gu, B. (2022). Socioeconomic barriers of nitrogen management for agricultural and environmental sustainability. Agriculture, Ecosystems & Environment, 333(1), 79–85. https://doi.org/10.1016/j.agee.2022.107950
Crossref
Google Scholar
Rossi, A., Biancalani, R., & Chocholata, L. (2019). Change in water-use efficiency over time (SDG indicator 6.4. 1): analysis and interpretation of preliminary results in key regions and countries. Rome: Food and Agriculture Organization of the United Nations.
Google Scholar
Ubukata, S. (2019). A Unified Approach for Cluster- Wise and General Noise Rejection Approaches for K-Means Clustering. PeerJ Computer Science, 5(e238), 1–20. https://doi.org/10.7717/peerj-cs.238
Crossref
Google Scholar
Ubukata, S., Notsu, A., & Honda, K. (2021). Objective function-based rough membership C-means clustering. Information Sciences, 548(1), 479–496. https://doi.org/10.1016/j.ins.2020.10.037
Crossref
Google Scholar
Uhlenbrook, S., Yu, W., Schmitter, P., & Smith, D.M. (2022). Optimising the water we eat—rethinking policy to enhance productive and sustainable use of water in agri-food systems across scales. The Lancet Planetary Health, 6(1), e59–e65. https://doi.org/10.1016/S2542-5196(21)00264-3
Crossref
Google Scholar
United Nations Educational, Scientific, and Cultural Organization (UNESCO). (2009). Atlas of transboundary aquifers: global maps, regional Cooperation, and local inventories. Paris: International Hydrological Programme.
Google Scholar
Wang, Y., & Cuixia, L. (2009). Analysis and forecasting on carrying capacity of livestock breeding environment in Heilongjiang Province. Presented at the Proceedings of the 1st International Workshop on Education Technology and Computer Science, ETCS. https://doi.org/10.1109/ ETCS.2009.405
Crossref
Google Scholar
Yousefi, S., Keesstra, S., Pourghasemi, H., Surian, N., & Mirzaee, S. (2017). Interplay between river dynamics and international borders: The Hirmand River between Iran and Afghanistan. Science of The Total Environment, 586(2), 492–501. https://doi.org/10.1016/j. scitotenv.2017.01.208
Crossref
Google Scholar
Yu, P., Fennell, S., Chen, Y., Liu, H., Xu, L., Pan, J., Gu, Bai, S., & Gu, S. (2022). Positive impacts of farmland fragmentation on agricultural production efficiency in Qilu Lake watershed: Implications for appropriate scale management. Land Use Policy, 117(2), 54–61. https://doi. org/10.1016/j.landusepol.2022.106108
Crossref
Google Scholar
Yuanyuan, Z., & XuXu, Z.Y. (2021). FLGCNN: A novel fully convolutional neural network for end-to-end monaural speech enhancement with utterance-based objective functions. Applied Acoustics, 170(1), 75–80. https://doi.org/10.1016/j. apacoust.2020.107511
Crossref
Google Scholar