STORAGE DYNAMICS, HYDROLOGICAL CONNECTIVITY AND FLUX AGES IN A KARST CATCHMENT: CONCEPTUAL MODELLING USING STABLE ISOTOPES

Storage dynamics, hydrological connectivity and flux ages in a karst catchment: conceptual modelling using stable isotopes

We developed a new tracer-aided hydrological model that disaggregates cockpit karst terrain into the two dominant landscape units of hillslopes and depressions (with fast and slow flow systems).The new model was calibrated by using high temporal resolution hydrometric and isotope data in the outflow of Chenqi catchment in Guizhou Province of south-

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Canada thistle phenology in broadbean canopy

Soine of the developmental stages of Canada thistle - Cirsium arvense (L.) Scop.(I.emergence and early growth, II.shooting, II.budding, IV.flowering, V.fructification, VI.shedding of Bike Parts - Miscellaneous - Drivetrain Parts fruits) on the background of development stages of broad-bean, weeded by herbicides and without that weed-killing substan

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THE IMPACT OF THE CONFLUENCE OF JUDICAL AND ADMINISTRATIVE EXECUTION ON THE MANAGEMENT OF THE FORECLOSURE OF A PROPERTY

The confluence of administrative and judicial executions creates a number of concerns arising from incompatibilities in doctrine and case law.In this paper the attention is paid to the consequences of Right Foot Pedal differences in the regulations on the management of the administrative and judicial enforcement of property foreclosures.It is concl

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Bakti Sosial dan Edukasi Masyarakat Terdampak Covid-19 di Kelurahan Pasir Kidul, Kecamatan Purwokerto Barat, Kabupaten Banyumas

The Covid-19 pandemic has had a broad impact on people worldwide, including Pasir Kidul Village, Purwokerto District, Banyumas.Community Service is conducted in two main Underliners activities: social service and community education.Social service activities are implemented by providing essential food subsidies to insufficient people affected by Co

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Benchmarking Machine Learning Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data

Net surface shortwave radiation (NSSR) is one of the most important fundamental parameters in various land processes.Benefiting from its efficient nonlinear fitting ability, machine learning algorithms have a great potential in the retrieval of NSSR.However, few studies have explored the level of accuracy that machine learning algorithms can reach

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