مدل‌سازی تأثیر تغییر کاربری اراضی/پوشش زمین بر تاب‌آوری اکولوژیک شهری در برابر سیلاب‌ (مطالعة شهر رشت)

Aghsaei, H., Dinan, N.M., Moridi, A., Asadolahi, Z., Delavar, M., Fohrer, N., Wagner, P.D., 2020. Effects of dynamic land use/land cover change on water resources and sediment yield in the Anzali wetland catchment, Gilan, Iran. Science of the Total Environment 712, 136449.

Al-Dousari, A.E., Mishra, A., Singh, S., 2023. Land use land cover change detection and urban sprawl prediction for Kuwait metropolitan region, using multi-layer perceptron neural networks (MLPNN). The Egyptian Journal of Remote Sensing and Space Science 26(2), 381-392.

Azari, M., Billa, L., Chan, A., 2022. Multi-temporal analysis of past and future land cover change in the highly urbanized state of Selangor, Malaysia. Ecological Processes 11(1), 2.

Banjara, M., Bhusal, A., Ghimire, A.B., Kalra, A., 2024. Impact of Land Use and Land Cover Change on Hydrological Processes in Urban Watersheds: Analysis and Forecasting for Flood Risk Management. Geosciences 14(2), 40.

Behrooznia, L., Sharifi, M., Hosseinzadeh-Bandbafha, H., 2020. Comparative life cycle environmental impacts of two scenarios for managing an organic fraction of municipal solid waste in Rasht-Iran. Journal of Cleaner Production 268, 122217.

Borghei, Y., Moghadamnia, M.T., Sigaroudi, A.E., Ghanbari, A., 2020. Association between climate variables (cold and hot weathers, humidity, atmospheric pressures) with out-of-hospital cardiac arrests in Rasht, Iran. Journal of Thermal Biology 93, 102702.

Bose, S., Mazumdar, A., 2023. Urban flood risk assessment and mitigation with InVEST-UFRM model: a case study on Kolkata city, West Bengal state (India). Arabian Journal of Geosciences 16(5), 320.

Chen, K.F., Leandro, J., 2019. A conceptual time-varying flood resilience index for urban areas: Munich city. Water 11(4), 830.

Dadashpoor, H., Salarian, F., 2020. Urban sprawl on natural lands: Analyzing and predicting the trend of land use changes and sprawl in Mazandaran city region, Iran. Environment, Development and Sustainability 22, 593-614.

Douglas, I., 2018. The challenge of urban poverty for the use of green infrastructure on floodplains and wetlands to reduce flood impacts in intertropical Africa. Landscape and Urban Planning 180, 262-272.

El Haj, F.A., Ouadif, L., Akhssas, A., 2023. Simulating and predicting future land-use/land cover trends using CA-Markov and LCM models. Case Studies in Chemical and Environmental Engineering 7, 100342.

Hamad, R., Balzter, H., Kolo, K., 2018. Predicting land use/land cover changes using a CA-Markov model under two different scenarios. Sustainability 10(10), 3421.

Hasani, M., Sakieh, Y., Dezhkam, S., Ardakani, T., Salmanmahiny, A., 2017. Environmental monitoring and assessment of landscape dynamics in southern coast of the Caspian Sea through intensity analysis and imprecise land-use data. Environmental Monitoring and Assessment 189, 1-19.

Hedayati, A., Vahidnia, M.H., Behzadi, S., 2022. Paddy lands detection using Landsat-8 satellite images and object-based classification in Rasht City, Iran. The Egyptian Journal of Remote Sensing and Space Science 25(1), 73-84.

Hemmati, M., Kornhuber, K., Kruczkiewicz, A., 2022. Enhanced urban adaptation efforts needed to counter rising extreme rainfall risks. NPJ Urban Sustainability 2(1), 16.

Heydari, R., Aliakbari, E., Pourahmad, A., 2023. A measurement of Urban sprawl in spatial dynamics of Rasht, Iran. Journal of Studies of Human Settlements Planning 17(4), 961-976.

Hussain, S., Wang, Y., Awais, M., Sajjad, M.M., Ejaz, N., Javed, U., Iqbal, J., 2024. Integrated assessment of groundwater quality dynamics and land use/land cover changes in rapidly urbanizing semi-arid region. Environmental Research 260, 119622.

Ikiel, C., Dutucu, A.A., Ustaoglu, B., Kilic, D.E., 2012. Land use and land cover (LULC) classification using Spot-5 image in the Adapazari Plain and its surroundings, Turkey. Tojsat 2(2), 37-42.

Kadaverugu, A., Nageshwar Rao, C., Viswanadh, G.K., 2021. Quantification of flood mitigation services by urban green spaces using InVEST model: a case study of Hyderabad city, India. Modeling Earth Systems and Environment 7(1), 589–602.

Koko, A.F., Yue, W., Abubakar, G.A., Hamed, R., Alabsi, A.A.N., 2020. Monitoring and predicting spatio-temporal land use/land cover changes in Zaria City, Nigeria, through an integrated cellular automata and Markov chain model (CA-Markov). Sustainability 12(24), 10452.

Lei, Y., Cao, H., Zhou, X., Mills, J., Xiao, W., 2024. Impact of land use/land cover changes on urban flooding: a case study of the Greater Bay Area, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Leta, B.M., Adugna, D., 2024. Quantifying flood risk using InVEST-UFRM model and mitigation strategies: the case of Adama City, Ethiopia. Modeling Earth Systems and Environment, 1-21.

Li, X., Siddique, K.H., 2020. Future Smart Food: harnessing the potential of neglected and underutilized species for Zero Hunger. Maternal & Child Nutrition 16, e13008.

Li, Y., Zhao, Z., Wei, S., Sun, D., Yang, Q., Ding, X., 2021. Prediction of regional forest soil nutrients based on Gaofen-1 remote sensing data. Forests 12(11), 1430.

Li, Z., Shen, H., Cheng, Q., Li, W., Zhang, L., 2019. Thick cloud removal in high-resolution satellite images using stepwise radiometric adjustment and residual correction. Remote Sensing 11, 1925.

Liu, J., Wang, J., Tan, Y., 2023. Spatiotemporal pattern and influencing mechanism of the flood-regulating ecosystem service capacity and demand in China’s Yellow River basin, 2000–2020. Journal of Hydrology: Regional Studies 45, 101312.

Manna, H., Sarkar, S., Hossain, M., Dolui, M., 2024. Modeling and predicting spatio-temporal land use land cover changes and urban sprawling in Kalaburagi City Corporation, Karnataka, India: a geospatial analysis. Modeling Earth Systems and Environment 10(1), 809-832.

Mehryar, S., Surminski, S., 2022. Investigating flood resilience perceptions and supporting collective decision-making through fuzzy cognitive mapping. Science of the Total Environment 837, 155854.

Moghadas, M., Asadzadeh, A., Vafeidis, A., Fekete, A., Kötter, T., 2019. A multi-criteria approach for assessing urban flood resilience in Tehran, Iran. International Journal of Disaster Risk Reduction 35, 101069.

Phan, T.N., Kuch, V., Lehnert, L.W., 2020. Land cover classification using Google Earth Engine and random forest classifier—The role of image composition. Remote Sensing 12, 2411.

Pourahmad, A., Heydari, R., 2021. Monitoring and predicting land use and land cover changes in large cities; application of CA-Markov model in Rasht, Iran. Physical Social Planning 8(1), 111-133.

Quagliolo, C., Comino, E., Pezzoli, A., 2021. Experimental flash floods assessment through urban flood risk mitigation (UFRM) model: the case study of Ligurian coastal cities. Frontiers in Water 3, 663378.

Rahmaninezhad, M., Sharifi Hashjin, S.S., 2023. Investigating the land use changes in the city of Rasht using satellite image analysis. Geographical Studies of Coastal Areas Journal 4(3), 69-88.

Rentschler, J., Salhab, M., Jafino, B.A., 2022. Flood exposure and poverty in 188 countries. Nature communications 13(1), 3527.

Rosenzweig, C., Solecki, W.D., Romero-Lankao, P., Mehrotra, S., Dhakal, S., Ibrahim, S.A., 2018. Climate change and cities: Second assessment report of the urban climate change research network. Cambridge University Press.

Ross, C.W., Prihodko, L., Anchang, J., Kumar, S., Ji, W., Hanan, N.P., 2018. Global hydrologic soil groups (HYSOGs250m) for curve number-based runoff modeling. ORNL DAAC, Oak Ridge, Tennessee, USA.

Salata, S., Arslan, B., 2022. Designing with ecosystem modelling: The sponge district application in İzmir, Turkey. Sustainability 14(6), 3420.

Sarmah, T., Das, S., Narendr, A., Aithal, B.H., 2020. Assessing human vulnerability to urban flood hazard using the analytic hierarchy process and geographic information system. International Journal of Disaster Risk Reduction 50, 101659.

Taromideh, F., Fazloula, R., Choubin, B., Emadi, A., Berndtsson, R., 2022. Urban flood-risk assessment: integration of decision-making and machine learning. Sustainability 14(8), 4483.

Thackeray, C.W., Hall, A., Norris, J., Chen, D., 2022. Constraining the increased frequency of global precipitation extremes under warming. Nature Climate Change 12(5), 441-448.

Tierolf, L., de Moel, H., van Vliet, J., 2021. Modeling urban development and its exposure to river flood risk in Southeast Asia. Computers, Environment and Urban Systems 87, 101620.

Veisi Nabikandi, B., Shahbazi, F., 2024. Determining carbon storage content at different pools under various land uses in Miandoab region using remotely-sensed data and InVEST model. Journal of Natural Environment 77(2), 241-253. (In Persian)

Veisi Nabikandi, B., Shahbazi, F., Hami, A., 2024a. Spatiotemporal dynamic simulation of carbon storage and sequestration in response to land use/land cover changes. Advanced Engineering Days 9, 153-156.

Veisi Nabikandi, B., Shahbazi, F., Hami, A., Malone, B., 2024b. Exploring carbon storage and sequestration as affected by land use/land cover changes toward achieving sustainable development goals. Soil Advances 2, 100017.

Wang, M., Fu, X., Zhang, D., Chen, F., Liu, M., Zhou, S., Tan, S.K., 2023. Assessing urban flooding risk in response to climate change and urbanization based on shared socio-economic pathways. Science of The Total Environment 880, 163470.

Wang, Q., Zhao, G., Zhao, R., 2024. Resilient urban expansion: Identifying critical conflict patches by integrating flood risk and land use predictions: A case study of Min Delta Urban Agglomerations in China. International Journal of Disaster Risk Reduction 100, 104192.

Wijayarathne, D.B., Coulibaly, P., 2020. Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, Canada. Journal of Hydrology: Regional Studies 27, 100646.

Xu, W., Yu, Q., Proverbs, D., 2023. Evaluation of factors found to influence urban flood resilience in China. Water 15(10), 1887.

Xu, Z., Ma, J., Zheng, H., Wang, L., Ying, L., Li, R., Yang, Y., 2024. Quantification of the flood mitigation ecosystem service by coupling hydrological and hydrodynamic models. Ecosystem Services 68, 101640.

Yao, S., Huang, G., Chen, Z., 2024. Evaluation of urban flood adaptability based on the InVEST model and GIS: A case study of New York City, USA. Natural Hazards pp. 1-20.

Zanotta, D.C., Zortea, M., Ferreira, M.P., 2018. A supervised approach for simultaneous segmentation and classification of remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing 142, 162–173.

Zarandian, A., Baral, H., Yavari, A.R., Jafari, H.R., Stork, N.E., Ling, M.A., Amirnejad, H., 2016. Anthropogenic decline of ecosystem services threatens the integrity of the unique Hyrcanian (Caspian) forests in Northern Iran. Forests 7(3), 51.

Zhang, Z., Zhang, J., Zhang, Y., Chen, Y., Yan, J., 2023. Urban flood resilience evaluation based on GIS and multi-source data: a case study of Changchun City. Remote Sensing 15(7), 1872.

Zhu, S., Li, D., Huang, G., Chhipi-Shrestha, G., Nahiduzzaman, K.M., Hewage, K., Sadiq, R., 2021. Enhancing urban flood resilience: A holistic framework incorporating historic worst flood to Yangtze River Delta, China. International Journal of Disaster Risk Reduction 61, 102355.