Abstract
The land-use and land-cover (LULC) can undergo major changes as urbanization increases in a region. These continuous changes are a big challenge for the management of water resources, since numerous studies show that these changes directly affect the availability and surface runoff of water in a watershed. The present research mapped the diagnosis and prognosis of hydrological responses of a Brazilian watershed through projections of the past (1985), present (2015), and future (2030) LULCC, in scenarios of excess and scarcity of precipitation. The tools used to execute the proposed methodology were land-uses and land-cover changes (LULCC) and hydrological models, the land change modeler (LCM) and soil and water assessment tool (SWAT), respectively. The subwatersheds modeled during the 45 years simulation presented changes of 59.0% of the total area, which directly impacted the simulated results of maximum flows for all subwatersheds. Thus, the obtained results provided an integrated view based on the behavior of the local population and the physical characteristics of the regions, generating pertinent information that can serve as subsidies for managers and decision makers to mitigate the risk of hydrological natural disasters.
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References
Abbaspour, K.C.: SWAT-CUP: SWAT calibration and uncertainty programs—a user manual (2015)
Abdulkareem, J.H., Sulaiman, W.N.A., Pradhan, B., Jamil, N.R. : Relationship between design floods and land use land cover (LULC) changes in a tropical complex catchment. Arab. J. Geosci. 11(376), 1–17 (2018)
Ahmed, B., Ahmed, R.: Modeling urban land cover growth dynamics using multi-temporal satellite images: a case study of Dhaka, Bangladesh. ISPRS Int. J. Geo-Inf. 1(1), 3 (2012)
ANA: Sistema de informações hidrológicas, Novembro de 2005 (2015)
Barbiéri, E.B.: Ritmo climático e extração do sal em cabo frio. Rev. Bras. Geogr. 7(4), 23–109 (1975)
Berka, C., Schreier, H., Hall, K.: Linking water quality with agricultural intensification in a rural watershed. Water Air Soil Pollut. 127(1), 389–401 (2001)
Bidegain, P., Bizerril, C.: Lagoa de Araruama: perfil ambiental do maior ecossistema lagunar hipersalino do mundo, vol. 12. Secretaria de Estado de Meio Ambiente e Desenvolvimento Sustentável, Rio de Janeiro (2002)
Bosch, J.M., Hewlett, J.D.: A review of catchment experiments to determine the effect of vegetation changes on water yield and evapotranspiration. J. Hydrol. 55(1), 3–23 (1982)
Carvalho Filho, A.D., Lumbreras, J.F. Wittern, K.P., Lemos, A.L., de Santos, R.D., Calderano Filho, B., Calderano, S.B., Oliveira, R.P., Aglio, M.L.D., Souza, J.S.D., Chaffin, C.E.: Mapa de reconhecimento de baixa intensidade dos solos do estado do Rio de Janeiro (2003)
Cuo, L., Zhang, Y., Gao, Y., Hao, Z., Cairang, L.: The impacts of climate change and land cover/use transition on the hydrology in the Upper Yellow River Basin, China. J. Hydrol. 502, 37–52 (2013)
de Athayde Bohrer, C.B., Dantas, H.G.R., Cronemberger, F.M., Vicens, R.S., de Andrade, S.F.: Mapeamento da vegetação e do uso do solo no centro de diversidade vegetal de cabo frio, Rio de Janeiro, Brazil. Rodriguésia 60(1), 1–23 (2009)
Dixon, B., Earls, J.: Effects of urbanization on streamflow using SWAT with real and simulated meteorological data. Appl. Geogr. 35(1), 174–190 (2012)
Durão, A., Morais, M.M., Brito, D., Leitão, P.C., Fernandes, R.M., Neves, R.: Estimation of pollutant loads in Ardila watershed using the SWAT model. J. Environ. Sci. Eng. 1(10B), 1179–1191 (2012)
Eastman, J.R.: TerrSet tutorial (2015)
Guidolini, J.F., de Almeida, A.M., JĂşnior, R.F.D.V., Schuler, A.E., AraĂşjo, M.V.N.: Modelagem da dinâmica do uso e ocupação do solo (1975 a 2010) na bacia do rio uberaba, municĂpio de verĂssimo—mg (2013)
Gyamfi, C., Ndambuki, J., Salim, R.: Hydrological responses to land use/cover changes in the Olifants Basin, South Africa. Water 8(12), 588 (2016)
Hunter, P.R.: Climate change and waterborne and vector-borne disease. J. Appl. Microbiol. 94(Suppl:37s–46s) (2003)
Jamal, J.A.: Dynamic Land Use/Cover Change Modelling, 1st edn. Springer, Berlin (2012)
Jaswinder, S., Knapp, H.V., Arnold, J.G., Demissie, M.: Hydrological modeling of the Iroquois River watershed using HSPF and SWAT1. J. Am. Water Resour. Assoc. 41(2), 343–360 (2005)
Kim, J., Choi, J., Choi, C., Park, S.: Impacts of changes in climate and land use/land cover under IPCC RCP scenarios on streamflow in the Hoeya River Basin, Korea. Sci. Total Environ. 452–453, 181–195 (2013)
Lima, L.D.S.: Acoplamento de modelos hidrológicos e hidrodinâmicos para prognóstico ambiental detalhado de longo prazo. Tese (2016)
Lima, L.D.S.: Alterações do uso e ocupação da terra associadas a transformaçães territoriais: passado, presente e futuro da bacia hidrográfica da Lagoa de Araruama—RJ. Monografia (2017)
Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D., Veith, T.L.: Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Am. Soc. Agric. Biol. Engineers 50(3), 885–900 (2007)
Neitsch, S.L., Arnold, J.G., Kiniry, J.R., Williams, J.R.: Soil and water assessment tool: theoretical documentation (2011)
Noori, N., Kalin, L., Sen, S., Srivastava, P., Lebleu, C.: Identifying areas sensitive to land use/land cover change for downstream flooding in a coastal Alabama watershed. Reg. Environ. Chang. 16(6), 1833–1845 (2016)
Nunes, N.D.S.: A influência do recebimento de royalties do petóleo nas fragmentaçes territoriais nas baixadas litorâneas, RJ (2014)
Post, D.A., Jakeman, A.J., Littlewood, I.G., Whitehead, P.G. and Jayasuriya, M.D.A.: Modelling land-cover-induced variations in hydrologic response: Picaninny Creek, Victoria. Ecol. Model. 86(2), 177–182 (1996)
Rai, P.K., Mishra, V.N., Mohan, K.: Prediction of land use changes based on land change modeler (LCM) using remote sensing: a case study of Muzaffarpur (Bihar), India, vol. 60 (2014)
Sanchez, G.M., Machado, M.A., Martins, M.M., Oliveira, O.M.D., Higashi, R.A.D.R., Sbroglia, R.M., Dutra, R.D.C., Goerl, R.F., Bim, R.: Atlas brasileiro de desastres naturais: 1991 a 2012 (2013)
Shrestha, S., Bhatta, B., Shrestha, M., Shrestha, P.K.: Integrated assessment of the climate and landuse change impact on hydrology and water quality in the Songkhram River Basin, Thailand. Sci. Total Environ. 643, 1610–1622 (2018)
Snowling, S.D., Kramer, J.R.: Evaluating modelling uncertainty for model selection. Ecolo. Model. 138(1), 17–30 (2001)
Teixeira, V.M.D.L.: DispersĂŁo e extensĂŁo urbana no municĂpio de araruama: uma análise da implantação de loteamentos residenciais voltados Ă atividade turĂstica. Cadernos do Desenvolvimento Fluminense 23, 36 (2015)
Wang, T., Yang, M.H.: Land use and land cover change in China’s Loess Plateau: the impacts of climate change, urban expansion and grain for green project implementation. Appl. Ecol. Environ. Res. 16(4), 4145–4163 2018.
Welde, K., Gebremariam, B.: Effect of land use land cover dynamics on hydrological response of watershed: case study of Tekeze dam watershed, Northern Ethiopia. Int. Soil Water Conserv. Res. 5(1), 1–16 (2017)
Zhang, L., Cheng, L., Chiew, F., Fu, B.: Understanding the impacts of climate and landuse change on water yield. Curr. Opin. Environ. Sustain. 33, 167–174 (2018)
Zhou, Q.: A review of sustainable urban drainage systems considering the climate change and urbanization impacts. Water 6(4), 976 (2014)
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This research was supported in part by: Municipal Service of Emergency Response and Civil Protection of Maricá (SEPDEC), Federal University of Rio de Janeiro (UFRJ), International Virtual Institute of Global Changes (IVIG), and National School of Statistical Sciences (ENCE).
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Lima, L.d.S., Colonna Rosman, P.C., Mercedes Strauch, J.C., Fernandes, N.F., de Carvalho Giannella, L. (2019). Methodological Proposal for the Prediction of Hydrological Responses to Land-Uses and Land-Cover Changes in a Brazilian Watershed. In: Bacelar Lima Santos, L., Galante Negri, R., de Carvalho, T. (eds) Towards Mathematics, Computers and Environment: A Disasters Perspective. Springer, Cham. https://doi.org/10.1007/978-3-030-21205-6_6
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