Water resources data for Florida, water year 1971; Part 1, Subsurface water records; Volume 2, Streams, southern Florida, Lake Okeechobee, and the Everglades

1972 ◽  
2003 ◽  
Vol 48 (10) ◽  
pp. 103-110 ◽  
Author(s):  
J. Fehér ◽  
A. Lázár

In the middle of the 1990s the European Environment Agency (EEA) started to develop a data collecting system for surface and subsurface water resources for assessing pressures, states and impacts on European water resources. The main objective of this system was to provide reliable, comparable, homogenous information, and support integrated environmental assessments at European level. The data collecting system for water is called Eurowaternet. The extent and information content of the network makes not only pan-European, but also regional or thematic environmental assessments possible. An extensive programme started in 1997 to support the Phare countries in their accession to the EU with implementation of this data collecting system in their countries. The paper briefly introduces the methodology of the system, but it focuses more on the application of the system in the accession countries, highlighting, through examples, the usefulness of the implemented network and assembled database. The examples present - among several other possible ones - trends of average nutrient concentrations; relationships between catchment size and annual average nutrient concentrations; relationships between catchment size and agricultural usage.


2019 ◽  
Vol 68 (4) ◽  
pp. 355-372 ◽  
Author(s):  
Zoltán Zsolt Fehér ◽  
János Rakonczai

One of the undoubtedly recognizable consequences of the ongoing climate change in Hungary is the permanent change of groundwater depth, and consequently the sustainably reachable local water resources. These processes trigger remarkable changes in soil and vegetation. Thus, in research of sensitivity of any specific landscape to the varying climatic factors, monitoring and continuous evaluation of the water resources is inevitable. The presented spatiotemporal geostatistical cosimulation framework is capable to identify rearrangements of the subsurface water resources through water resource observations. Application of the Markov 2-type coregionalization model is based on the assumption, that presumably only slight changes have to be handled between two consecutive time instants, hence current parameter set can be estimated based on the spatial structures of prior and current dataset and previously identified parameters. Moreover, the algorithm is capable to take into consideration the significance of the geomorphologic settings on the subsurface water flow. Trends in water resource changes are appropriate indicators of certain areas climate sensitivity. The method is also suitable in determination of the main cause of the extraordinary groundwater discharges, like the one, observed from the beginning of the 1980’s in the Danube–Tisza Interfluve in Hungary.


2020 ◽  
Author(s):  
Carl Hartick ◽  
Carina Furusho-Percot ◽  
Klaus Goergen ◽  
Stefan Kollet

<p>In 2018, a severe drought occurred in Central and Northern Europe and water security concerns rose in regions where previously water was considered an abundant resource. Followed by another extremely dry year 2019, the meteorological drought developed into a hydrological drought and estimates on the probable evolution of water stores at an interannual time scale over Europe seem required that have the potential to provide informed options for adaptation. Utilizing the Terrestrial Systems Modeling Platform (TSMP) regional Earth system model over the 12km resolution pan-European CORDEX model domain, a probabilistic assessment methodology is proposed based on fully coupled groundwater-to-atmosphere simulations, which provide subsurface water resources anomalies for a water year defined from September to August. For the assessment, the TSMP ensemble is initialized with the surface and subsurface states at the end of a previous water year that is part of a spun up climatology run (here: 1989 to 2019). In an ensuing step, an ensemble of forward simulations is performed, driven by past ERA-Interim reanalysis meteorological boundary conditions until the end of August of the following year. The memory effect of groundwater, which is well-captured in TSMP, in combination with the different, plausible atmospheric states and evolution of the atmospheric forcing from the reanalysis, allows for a probabilistic assessment of the development of water resources in the upcoming year. The novelty is the use of the past meteorological conditions in a fully coupled model to account for the uncertainty of unknown weather conditions at the interannual forecasting time scale. We show that the method provides good results in a hindcast approach of 2018/19 and present the results of the upcoming water year 2019/20.</p>


2011 ◽  
Vol 37 (8) ◽  
pp. 1158-1163 ◽  
Author(s):  
S. Shukla ◽  
D. Goswami ◽  
W.D. Graham ◽  
A.W. Hodges ◽  
M.C. Christman ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Liang-Cheng Chang ◽  
Hone-Jay Chu ◽  
Yi-Wen Chen

This study develops the water resources management model for conjunctive use of surface and subsurface water using a fuzzy inference system (FIS). The study applies the FIS to allocate the demands of surface and subsurface water. Subsequently, water allocations in the surface water system are simulated by using linear programming techniques, and the responses of subsurface water system with respect to pumping are forecasted by using artificial neural networks. The operating rule for the water systems is that the more abundant water system supplies more water. By using the fuzzy rule, the FIS conjunctive use model easily incorporates expert knowledge and operational polices into water resources management. The result indicates that the FIS model is more effective and efficient when compared with the decoupled conjunctive use and simulation-optimization models. Furthermore, the FIS model is an alternative way to obtain the conjunctive use policies between surface and subsurface water.


Author(s):  
Ivan Taslim

This study aimed to identify potential subsurface water resources (underground river in Saleh Cave) on the Maros karst morphology. Identification of an underground river channel at Saleh Cave using resistivity measurements geoelectric method Wenner-Schlumberger configuration compiled with Saleh Cave dimensional mapping data, as well as muscular and topographical measurements. Geoelectric measurement consists of 9 tracks, acquired 2D and 3D resistivity cross-section shows the flow of the cave identified through the high resistivity range ρ> 2000 Ωm. Goa Saleh has a long corridor about 200m, where an underground river channel identified at a depth of 84-110 meters above sea level trending N320oE or leads from the Southeast to the Northwest. This is consist with the results of measurements of the fracture pattern (strike / dip) in the study site showing the same pattern of dominant fractures trending with underground streams in Saleh Cave. Compilation method used in this research can identify potential water resources that located beneath the surface karst morphology. Penelitian ini dimaksudkan untuk mengidentifikasi potensi sumber daya air bawah permukaan (sungai bawah tanah di Goa Saleh) pada morfologi karst Maros.Identifikasisaluran sungai bawah tanahGoa Saleh menggunakan pengukuran resistivitas metode geolistrik konfigurasi Wenner-Schlumberger dikompilasikan dengan data pemetaan dimensi Goa Saleh, serta pengukuran kekar dan pemetaan topografi.Pengukuran geolistrik terdiri dari 9 lintasan, diperoleh penampang resistivitas 2D dan 3D menunjukkan alur Goa teridentifikasi melalui harga resistivitas yang tinggi berkisar ρ>2000 Ωm. Goa Saleh memiliki panjang lorong sekitar 200m,dimana saluran sungai bawah tanah teridentifikasi di kedalaman 84-110 mdpl berarahN320oE ataumengarah dari Tenggara ke Barat laut. Hal ini sesuai dengan hasil pengukuran pola rekahan (strike/dip) di lokasi penelitian yang menunjukkan pola rekahan dominan berarah sama dengan aliran sungai bawah tanah di GoaSaleh. Kompilasi metode yang digunakan dalam penelitian ini dapat mengidentifikasi potensi sumber daya air yang terletak di bawah permukaan pada morfologi karst.


Sign in / Sign up

Export Citation Format

Share Document