https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39771 Wed 22 Jun 2022 11:58:11 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40495 Wed 13 Jul 2022 14:48:38 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53294 Wed 07 Feb 2024 15:04:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51446 Wed 06 Sep 2023 10:21:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44039 Wed 05 Oct 2022 15:26:03 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45659 Wed 02 Nov 2022 15:52:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45622 Wed 02 Nov 2022 14:48:58 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38364 Wed 01 Dec 2021 10:19:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38596 Tue 16 Nov 2021 15:39:36 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40260 Tue 02 Aug 2022 11:09:13 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39148 NSE) was found to be larger than 0.7 at 80% of the stations, and the absolute value of relative error (RE) was less than 10% at 95% of the stations. Our result highlights the benefit of incorporating new mechanisms on the special vadose zone water movement and accounts for the impact of elevation change on meteorological and vegetation variables. This paper can serve as a reference for large-scale hydrological simulation with diverse climate, topography and underlying surface conditions.]]> Thu 19 May 2022 15:37:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38482 Mon 29 Apr 2024 15:04:00 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38183 Mon 09 Aug 2021 16:05:40 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48209 Mon 08 May 2023 15:36:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46573 Fri 25 Nov 2022 11:54:23 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52676 Fri 20 Oct 2023 09:30:22 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51743 Fri 15 Sep 2023 18:13:44 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53661 The assessment of ecosystem quality and the maintenance of optimal ecosystem function require understanding vegetation area dynamics and their relationship with climate variables. This study aims to detect vegetation area changes downstream of the Hali dam, which was built in 2009, and to understand the influence of the dam as well as climatic variables on the region’s vegetation areas from 2000 to 2020. The case study is located in an arid area with an average rainfall amount from 50 to 100 mm/year. An analysis of seasonal changes in vegetation areas was conducted using the Normalized Difference Vegetation Index (NDVI), and supervised image classification was used to evaluate changes in vegetation areas using Landsat imagery. Pearson correlation and multivariate linear regression were used to assess the response of local vegetation areas to both hydrologic changes due to dam construction and climate variability. The NDVI analysis revealed a considerable vegetation decline after the dam construction in the dry season. This is primarily associated with the impoundment of seasonal water by the dam and the increase in cropland areas due to dam irrigation. A significantly stronger correlation between vegetation changes and precipitation and temperature variations was observed before the dam construction. Furthermore, multivariant linear regression was used to evaluate the variations in equivalent water thickness (EWT), climate data, and NDVI before and after the dam construction. The results suggested that 85 percent of the variability in the mean NDVI was driven by climate variables and EWT before the dam construction. On the other hand, it was found that only 42 percent of the variations in the NDVI were driven by climate variables and EWT from 2010 to 2020 for both dry and wet seasons.]]> Fri 15 Dec 2023 11:05:47 AEDT ]]>