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The level of Lake Tana, Ethiopia, fluctuates annually and seasonally following the patterns of changes in precipitation. In this study, a mass balance approach is used to estimate the hydrological balance of the lake. Water influx from four major rivers, subsurface inflow from the floodplains, precipitation, outflow from the lake constituting river discharge and evapotranspiration from the lake are analysed on monthly and annual bases. Spatial interpolation of precipitation using rain gauge data was conducted using kriging. Outflow from the lake was identified as the evaporation from the lake's surface as well as discharge at the outlet where the Blue Nile commences. Groundwater inflow is estimated using MODular three‐dimensional finite‐difference ground‐water FLOW model software that showed an aligned flow pattern to the river channels. The groundwater outflow is considered negligible based on the secondary sources that confirmed the absence of lake water geochemical mixing outside of the basin. Evaporation is estimated using Penman's, Meyer's and Thornwaite's methods to compare the mass balance and energy balance approaches. Meteorological data, satellite images and temperature perturbation simulations from Global Historical Climate Network of National Oceanographic and Atmospheric Administration are employed for estimation of evaporation input parameters. The difference of the inflow and outflow was taken as storage in depth and compared with the measured water level fluctuations. The study has shown that the monthly and annually calculated lake level replicates the observed values with root mean square error value of 0·17 and 0·15 m, respectively. Copyright © 2009 John Wiley & Sons, Ltd. 相似文献
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Alemseged Tamiru Haile Tom RientjesAmbro Gieske Victor JettenMekonnen Gebremichael 《Advances in water resources》2011,34(1):26-37
Motivated by the need for rainfall prediction models in data scarce areas, we adapted a simple storage based cloud model to use routinely available thermal infrared (TIR) data. The data is obtained from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) of the Meteosat Second Generation (MSG-2) satellite. Model inputs are TIR cloud top temperatures at 15-min intervals and observations of pressure, temperature, and dew point temperatures from ground-based stations at 30-min intervals. The sensitivity of the parsimonious cloud model to its parameters is evaluated by a regional sensitivity analysis (RSA) which suggests that model performance is sensitive to few parameters. The model was calibrated and tested for four convective events that were observed during the wet season in the source basin of the Upper Blue Nile River. The difference between the simulated and the observed depth of the selected rain events varies between 0.2 and 1.8 mm with a root mean square error of smaller than 0.5 mm for each event. It is shown that the updraft velocity characteristic can provide relevant information for rainfall forecasting. The simulation results suggest the effectiveness of the model approach as evaluated by selected performance measures. The various characteristics of the rainfall events as simulated generally match to observed counter parts when ground-based and remote sensing observations are combined. 相似文献
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Bayden D. Russell Sean D. Connell Sven Uthicke Nancy Muehllehner Katharina E. Fabricius Jason M. Hall-Spencer 《Marine pollution bulletin》2013
While carbon capture and storage (CCS) is increasingly recognised as technologically possible, recent evidence from deep-sea CCS activities suggests that leakage from reservoirs may result in highly CO2 impacted biological communities. In contrast, shallow marine waters have higher primary productivity which may partially mitigate this leakage. We used natural CO2 seeps in shallow marine waters to assess if increased benthic primary productivity could capture and store CO2 leakage in areas targeted for CCS. We found that the productivity of seagrass communities (in situ, using natural CO2 seeps) and two individual species (ex situ, Cymodocea serrulata and Halophila ovalis) increased with CO2 concentration, but only species with dense belowground biomass increased in abundance (e.g. C. serrulata). Importantly, the ratio of below:above ground biomass of seagrass communities increased fivefold, making seagrass good candidates to partially mitigate CO2 leakage from sub-seabed reservoirs, since they form carbon sinks that can be buried for millennia. 相似文献
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《Marine Policy》2017
The role of academic research in the economic growth process has been widely considered over the last two decades in the theoretical and empirical literature, particularly around the concept of knowledge-based economy. Meanwhile, the very recent notion of “blue growth” and the significant development potential related to marine environments have gained more and more concern for policy makers on different scales. It is therefore interesting to assess the academic research related to marine issues, owing to its potential contribution to this dynamics growth through knowledge transfers and academic spillovers. This paper provides a global evaluation of the marine academic production, using a spatialized, open and transdisciplinary approach. In particular, this approach is to mobilize indicators to assess scientific production, transpose it to the territorial scale and make a global comparison of “research territories” in the case of marine science, with a specific focus on European cities. The results show that the five main centres are Tokyo (Japan), Paris (France), San Diego (USA), Moscow (Russia) and Woods Hole (USA). A dense European territorial coverage in marine science centres also appears, and new world major centres such as Chinese and Brazilian ones emerge. 相似文献
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《Marine Policy》2017
In Bangladesh, export-oriented shrimp farming is one of the most important sectors of the national economy. However, shrimp farming in coastal Bangladesh has devastating effects on mangrove forests. Mangroves are the most carbon-rich forests in the tropics, and blue carbon (i.e., carbon in coastal and marine ecosystems) emissions from mangrove deforestation due to shrimp cultivation are accumulating. These anthropogenic carbon emissions are the dominant cause of climate change, which in turn affect shrimp cultivation. Some adaptation strategies including Integrated Multi-Trophic Aquaculture (IMTA), mangrove restoration, and Reducing Emissions from Deforestation and forest Degradation (REDD+) could help to reduce blue carbon emissions. Translocation of shrimp culture from mangroves to open-water IMTA and restoration of habitats could reduce blue carbon emissions, which in turn would increase blue carbon sequestration. Mangrove restoration by the REDD+ program also has the potential to conserve mangroves for resilience to climate change. However, institutional support is needed to implement the proposed adaptation strategies. 相似文献
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福建明溪蓝宝石矿物学特征及致色机理探讨 总被引:2,自引:4,他引:2
利用颜色测量、顺磁共振谱、红外光谱和热谱等方法研究明溪蓝宝石的矿物学特征和结构特性,明溪蓝宝石色深,蓝中带黄,二色性强,分析表明Fe主要以Fe^3 形式存在,Fe^3 的d-d电子跃迁和Fe^2 -Ti^4 、O-Fe境塌菏转移是明溪蓝宝石致色的主要因素;H含量对蓝色的形成有重要作用。 相似文献
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