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Tytuł artykułu

The impact of climatic patterns on runoff and irrigation water allocation in an arid watershed of northern Mexico

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Języki publikacji
EN
Abstrakty
EN
The uncertainty of water availability is the main problem in planning for water resources in watersheds of agricultural drylands. Water availability for different uses depends on the runoff that is generated in the upper portion of the watersheds, where there are higher elevations and lower temperatures. Proximity to the ocean is a main factor that defines rainfall amounts. In this research we linked the effects of El Niño to a regional Standardized Precipitation Index (SPI) and the subsequent impact on runoff production and irrigation water allocation. Findings indicate the cascading impacts of the El Niño on the SPI, the SPI on the runoff discharge to the irrigation reservoir, and the final impact on the planted area within the irrigation district. An optimization procedure was applied to maximizing net income in agriculture under different water availability scenarios. The restrictions to the optimization model were: total available water, crop water demand, and available land. Local criteria for defining the maximum allowable planted area by crop also were taken into account. The analysis with various water availability scenarios demonstrated that with limited amounts of water for irrigation, forage area would be limited, thereby increasing the area of crops with lower water demands. In both scenarios the area of forage maize was reduced from 11300 to 1764 ha. Increasing irrigation water use efficiency may save water for expanding the irrigated area, or for other uses.
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Twórcy
autor
  • Palmira Bueno Hurtado National Institute for Forestry Agriculture and Livestock Research of Mexico, Sede Central: Colonia Barrio de Santa Catarina, Delegación Coyoacán, Distrito Federal CP. 04010, Mexico
  • Palmira Bueno Hurtado National Institute for Forestry Agriculture and Livestock Research of Mexico, Sede Central: Colonia Barrio de Santa Catarina, Delegación Coyoacán, Distrito Federal CP. 04010, Mexico
  • Palmira Bueno Hurtado National Institute for Forestry Agriculture and Livestock Research of Mexico, Sede Central: Colonia Barrio de Santa Catarina, Delegación Coyoacán, Distrito Federal CP. 04010, Mexico
  • Palmira Bueno Hurtado National Institute for Forestry Agriculture and Livestock Research of Mexico, Sede Central: Colonia Barrio de Santa Catarina, Delegación Coyoacán, Distrito Federal CP. 04010, Mexico
  • Palmira Bueno Hurtado National Institute for Forestry Agriculture and Livestock Research of Mexico, Sede Central: Colonia Barrio de Santa Catarina, Delegación Coyoacán, Distrito Federal CP. 04010, Mexico
  • Mexican Institute for Water Technology, Blvd. Paseo Cuauhnáhuac 8532, Progreso, 62550 Jiutepec, Mor., Mexico
Bibliografia
  • Ayers R.S, Westcot D.W., 1994, Water quality for agriculture, FAO Irrigation and Drainage Paper, 29, available at http:// www.fao.org/docrep/003/t0234e/t0234e00.HTM (data access 11.05.2018)
  • CNA, 2015, Atlas del agua en Mexico, Comisión Nacional el Agua, available at http://www.conagua.gob.mx/CONAGUA07/Publicaciones/Publicaciones/ATLAS2015.pdf (data access 11.05.2018).
  • CNA, 2018, Comisión Nacional el Agua, available at ftp://ftp. conagua.gob.mx/Bandas/Bases_Datos_Bandas (data access 11.05.2018).
  • Esquivel A.G., Cerano Paredes J., Sánchez Cohen I., Velasquez Valle M.A., Flores Lopez F., Bueno Hurtado P., 2018, Influencia de ENSO en la variabilidad de la precipitación en la cuenca alta del Nazas, México, Journal Tecnología y Ciencias del Agua, (in press).
  • INEGI, 2018, Instituto Nacional de Estadística y Geografía, available at http://antares.inegi.org.mx/analisis/red_hidro/siatl/# (data access 11.05.2018).
  • Li J., Xie S.-P., Cook E.R., Morales M.S., Christie D.A., Johnson N.C., Chen F., D’Arrigo R., Fowler A.M., Gou X., Fang K., 2013, El Niño modulations over the past seven centuriesm Nature Climate Change, 3, 822-826, DOI: 10.1038/nclimate1936
  • Macías Rodríguez H., Sánchez Cohen I., Catalán Valencia E.A., 2007, A decision support system for integrated water management in the irrigation district no. 017, Coahuila and Durango, Mexico, Revista Chapingo Serie Zonas Aridas, 6, 77-89.
  • McKee T.B., Doesken N.J., Kleist J., 1993, The relationship of drought frequency and duration to time scale, [in:] Proceedings of the Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California, American Meteorological Society, Boston, 179-184.
  • NCAR, 2017, Climate Data Guide: Nino SST indices (Nino 1+2, 3, 3.4, 4; ONI and TNI), National Center for Atmospheric Research Staff, available at https://climatedataguide.ucar. edu/climate-data/nino-sst-indices-nino-12-3-34-4-oni-andtni (data access 11.05.2018).
  • Sánchez Cohen I., Estrada Avalos J., Gonzales Cervantes G., 2002, Irrigation technology in the irrigation districts of Mexico, Water International, 27 (4), 578-584, DOI: 10.1080/02508060208687045.
  • Sánchez Cohen I., Delgado Ramírez D., Esquivel Arriaga G., Bueno Hurtado P., Román López A., 2016, Forage water footprint in the Comarca Lagunera, [in:] Water, food and welfare. Water footprint as a complementary approach to water management in Mexico, R. Pérez-Espejo, R.M. Constantino-Toto, H.R. Dávila-Ibáñez (eds.), Springer Briefs in Environment, Security, Development and Peace series, 23, Springer, 199-214.
  • SIAP, 2018, available at http://infosiap.siap.gob.mx:8080/agricola _siap_gobmx/ResumenProducto.do (data access 11.05.2018).
  • The Water Project, 2018, available at https://thewaterproject.org/ (data access 11.05.2018).
  • Trenberth K.E., Stepaniak D.P., 2001, Indices of El Niño evolution, Journal of Climate, 14 (8), 1697-1701, DOI: 10.1175/1520-0442(2001)0142.0.CO;2.
  • Zhai J., Buda S., Krysanova V., Vetter T., Gao C., Jiang T., 2010, Spatial variation and trends in PDSI and SPI indices and their relation to streamflow in 10 large regions of China, Journal of Climate, 23 (3), 649-663, DOI: 10.1175/2009JCLI2968.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fa722aeb-78cf-4370-b0e6-94b64fe21ead
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