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- W2800840536 abstract "This research deals with the assessment of drought over Iraq, a country which has been affectedby recurrent droughts of medium to long duration, with serious socio-economic consequences.The overarching aim of this work is to identify reliable large-scale drought monitoring andassessment methods, using a range of freely available meteorological and remote sensing data,as well as model simulations of the water balance. The thesis starts with an overview of Iraq’sclimate, soil, land use and socioeconomic issues, as well as an inventory of commonly usedmethods to assess and express drought.Historical droughts in Iraq have been studied between 2001 and 2013, using a combination ofmeteorological drought indices, remote sensing products, and water balance estimates by theSWAP model and ERA-Interim reanalysis. Drought is assessed for a number of key landsurface types (desert, rangeland, agricultural land, and marshland), with the first threerepresentative of the different climatic zones in Iraq. Their evolutions of drought have beencompared and contrasted.The research uses Standardised Precipitation Index (SPI) and Standardised PrecipitationEvaporation Index (SPEI) drought indices, derived from ERA-Interim/in-situ data of rainfalland temperature, that are applied to evaluate meteorological droughts in Iraq. The effect of themeteorological droughts has also been analysed using land surface temperature (LST),Normalised Difference Vegetation Index (NDVI) and near-surface soil moisture content(SMC), derived from remote sensing data, in isolation and together with SPI/SPEI, for the years2001 to 2015. NDVI has been used widely to detect changes in vegetation extent; LST wasemployed as a proxy of land surface evapotranspiration. NDVI was obtained from MOD13A2products (16-Day L3 Global 1km SIN Grid VI datasets), which were designed for vegetation.LST was obtained through MOD11A2 products available at a spatial resolution of 1km and atemporal resolution of 8 days. SMC was derived from the Soil Moisture and Ocean Salinity(SMOS) product at a resolution of 40 × 40 km.The evolution NDVI and SMC overall followed that of the drought indices, but the interannualvariations of seasonal LST courses were not deemed useful for drought assessment.Furthermore, regression analyses were conducted between SPI3/SPEI3 and NDVI as well asLST to investigate the potential of drought inference from the sign and strength of the correlation coefficient of the slope. This approach appeared promising for the marshlands, butless so for desert, rangeland, and agricultural regions.Finally, the soil water balance Assessment (SWAP) model was used, driven by in-situ andERA-Interim data. Water balance components for each land surface type were studied overtime, to determine the effect of meteorological droughts on the variation of predicted ecosystemand agricultural system’s hydrological behaviour. Comparisons were also made between thevarious land surface types, and between SWAP and ERA-Interim actual evapotranspirationestimates. The outcomes showed that the lowest mean actual evapotranspiration and waterstorage was found between 2008-2010, and 2012, as a result of lack in rainfall, whereas themonthly averages of actual evapotranspiration and water storage were the highest in 2013 and2014. The data of the surface latent heat flux (ERA-Interim), actual evapotranspiration(SWAP), and soil moisture corresponded well for the desert and rangelands but not for theagricultural region. This is the result of the fact that ERA-Interim does not cater for (irrigated)crops whereas SWAP does.The thesis concludes with recommendations with regards to the usefulness of the various(meteorological and remote sensing-based) drought indices, and combinations thereof, forassessment of drought in Iraq and similar climatological conditions." @default.
- W2800840536 created "2018-05-17" @default.
- W2800840536 creator A5040979252 @default.
- W2800840536 date "2017-01-01" @default.
- W2800840536 modified "2023-09-26" @default.
- W2800840536 title "Assessment of the hydrological status of Iraq using a combination of remote sensing and drought indices" @default.
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