Mapping surface temperature in a hyper-saline lake and investigating the effect of temperature distribution on the lake evaporation

Sima, Somayeh; Ahmadalipour, Ali; Tajrishy, Masoud

doi:10.1016/j.rse.2013.05.014

Cited by 110 publications

(58 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Primary factors that affect the lake water temperature include meteorological conditions, topography, river inflows and outflows [4,19]. For Poyang Lake, regression analysis indicates that, in a general sense, air temperature, solar radiation and inflow temperature appear to have more significantly influences (p < 0.05) on water temperature than other factors (see Figure 10), in agreement with the findings of the hydrodynamic investigation as shown in Figure 9.…”

Section: Discussionsupporting

confidence: 84%

“…Water temperature is a key variable in the water quality and hydrodynamic conditions of lakes [4,5], which is expected to influence the rates of many lake ecosystem functioning [6,7]. Therefore, water temperature plays an important role in examining the hydrological and ecological processes over lakes attributed to anthropogenic and natural causes [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…The use of measurements derived from remote sensing potentially provides an effective tool for assessing the temperature cycle of large lakes [5,13,14]. A number of previous investigations into the water temperature changes of large lakes includes Sima et al [4], who used MODIS land surface temperature products to examine the temperature distribution and associated water loss in the hyper-saline Urmia Lake (Iran). Allan et al [5] used atmospherically-corrected Landsat thermal imagery to identify the spatial heterogeneity of horizontal water temperature in geothermally-influenced Rotorua Lake and Taupo Lake (New Zealand).…”

Section: Introductionmentioning

confidence: 99%

“…Similar approaches have also been adopted for the North American Laurentian Great Lakes [16] and European Alpine lakes [17]. Nevertheless, the remote sensing data usually restrict tracing the daily or weekly (i.e., short-term) variation of water temperature due to the coarse temporal resolution and hence create high uncertainty for estimating monthly and annual variations in the water temperature of lakes [4].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Investigation of Water Temperature Variations and Sensitivities in a Large Floodplain Lake System (Poyang Lake, China) Using a Hydrodynamic Model

Zhang

et al. 2017

Remote Sensing

View full text Add to dashboard Cite

Abstract:Although changes in water temperature influence the rates of many ecosystem processes in lakes, knowledge of the water temperature regime for large floodplain lake systems subjected to multiple stressors has received little attention. The coupled models can serve to derive more knowledge on the water temperature impact on lake ecosystems. For this purpose, we used a physically-based hydrodynamic model coupled with a transport model to examine the spatial and temporal behavior and primary causal factors of water temperature within the floodplain of Poyang Lake that is representative of shallow and large lakes in China. Model performance is assessed through comparison with field observations and remote sensing data. The daily water temperature variations within Poyang Lake were reproduced reasonably well by the hydrodynamic model, with the root mean square errors of 1.5-1.9 • C. The modeling results indicate that the water temperature exhibits distinct spatial and temporal variability. The mean seasonal water temperatures vary substantially from 29.1 • C in summer to 7.7 • C in winter, with the highest value in August and the lowest value in January. Although the degree of spatial variability differed considerably between seasons, the water temperature generally decreases from the shallow floodplains to the main flow channels of the lake. As expected, the lake water temperature is primarily affected by the air temperature, solar radiation, wind speed and the inflow temperature, whereas other factors such as cloud cover, relative humidity, precipitation, evaporation and lake topography may play a complementary role in influencing temperature. The current work presents a first attempt to use a coupled model approach, which is therefore a useful tool to investigate the water temperature behavior and its major causal factors for a large floodplain lake system. It would have implications for improving the understanding of Poyang Lake water temperature and supporting planning and management of the lake, its water quality and ecosystem functioning.

show abstract

Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigation of Water Temperature Variations and Sensitivities in a Large Floodplain Lake System (Poyang Lake, China) Using a Hydrodynamic Model

Zhang

et al. 2017

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Lake Urmia has a total catchment area of approximately 51,876 km 2 that is about 3.2% of the size of Iran, and it represents about 7% of the country's surface water [30]. The maximum surface area of the lake has been estimated to be about 6100 km 2 , but since 1995, it has been constantly declining and reached 2366 km 2 in August of 2011 [32].…”

Section: Study Areamentioning

confidence: 99%

Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery

et al. 2014

View full text Add to dashboard Cite

Lake Urmia is the 20th largest lake and the second largest hyper saline lake (before September 2010) in the world. It is also the largest inland body of salt water in the Middle East. Nevertheless, the lake has been in a critical situation in recent years due to decreasing surface water and increasing salinity. This study modeled the spatiotemporal changes of Lake Urmia in the period 2000-2013 using the multi-temporal Landsat 5-TM, 7-ETM+ and 8-OLI images. In doing so, the applicability of different satellite-derived indexes including Normalized Difference Water Index (NDWI), Modified NDWI (MNDWI), Normalized Difference Moisture Index (NDMI), Water Ratio Index (WRI), Normalized Difference Vegetation Index (NDVI), and Automated Water Extraction Index (AWEI) were investigated for the extraction of surface water from Landsat data. Overall, the NDWI was found superior to other indexes and hence it was used to model the spatiotemporal changes of the lake. In addition, a new approach based on Principal Components of multi-temporal NDWI (NDWI-PCs) was proposed and evaluated for surface water change detection. The results indicate an intense decreasing trend in Lake Urmia surface area in the period 2000-2013, especially between 2010 and 2013 4174 lake lost about one third of its surface area compared to the year 2000. The results illustrate the effectiveness of the NDWI-PCs approach for surface water change detection, especially in detecting the changes between two and three different times, simultaneously.

show abstract

Centennial drought outlook over the CONUS using NASA‐NEX downscaled climate ensemble

Ahmadalipour

Moradkhani

Svoboda

2016

Intl Journal of Climatology

View full text Add to dashboard Cite

Drought is a natural hazard developing slowly and affecting large areas which may have severe consequences on society and economy. Due to the effects of climate change, drought is expected to exacerbate in various regions in future. In this study, the impact of climate change on drought characteristics is assessed, and statistical methods are employed to analyse the significance of projections. This is the first study utilizing 21 recently available downscaled global climate models generated by NASA (NEX‐GDDP) to evaluate drought projections over various regions across the United States. Drought is investigated through a multi‐model dual‐index dual‐scenario approach to probabilistically analyse drought attributes while characterizing the uncertainty in future drought projections. Standardized Precipitation Index and Standardized Precipitation Evapotranspiration Index values at the seasonal scale (3 months) are used to project and analyse meteorological drought conditions from 1950 to 2099 at 0.25° spatial resolution. Two future concentration pathways of RCP4.5 and RCP8.5 are considered for this analysis. Accounting for the combined effects of precipitation and temperature variations reveals a considerable aggravation in severity and extent of future drought in the western United States and a tendency toward more frequent and intense summer droughts across the Contiguous United States.

show abstract

Mapping surface temperature in a hyper-saline lake and investigating the effect of temperature distribution on the lake evaporation

Cited by 110 publications

References 59 publications

Investigation of Water Temperature Variations and Sensitivities in a Large Floodplain Lake System (Poyang Lake, China) Using a Hydrodynamic Model

Investigation of Water Temperature Variations and Sensitivities in a Large Floodplain Lake System (Poyang Lake, China) Using a Hydrodynamic Model

Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery

Centennial drought outlook over the CONUS using NASA‐NEX downscaled climate ensemble

Contact Info

Product

Resources

About