Fig. 6 | Hydrogeology Journal

Fig. 6

From: Integration of photogrammetry from unmanned aerial vehicles, field measurements and discrete fracture network modeling to understand groundwater flow in remote settings: test and comparison with geochemical markers in an Alpine catchmentIntégration de la photogrammétrie à partir de drones, de mesures sur le terrain et de la modélisation de réseaux de fractures discrètes pour comprendre l’écoulement des eaux souterraines dans des endroits éloignés: test et comparaison avec des marqueurs géochimiques dans un bassin versant alpinIntegración de la fotogrametría de drones, mediciones sobre el terreno y modelización de redes de fracturas discretas para comprender el flujo de aguas subterráneas en escenarios remotos: prueba y comparación con trazadores geoquímicos en una cuenca alpina集成了无人机的摄影测量,实测和离散裂缝网络建模,以了解偏远地区的地下水流:在高山流域与地球化学标记物进行测试和比较Integração da fotogrametria de veículos aéreos não tripulados, medições de campo e modelagem discreta da rede de fraturas para entender o fluxo de águas subterrâneas em ambientes remotos: teste e comparação com marcadores geoquímicos em uma bacia de captação alpina

Fig. 6

Map of anisotropy and magnitude of hydraulic conductivity. The black oriented bars indicate the orientation of the maximum conductivity K1, projected on the horizontal plane (xy), as obtained from the calculated permeability tensor. The limits of the different hydrological basins are indicated by black dotted lines. Four 3D permeability tensors are reported as examples (see Fig. S5–S6 of ESM2 for the complete list); see the text for further details. Flow data (from field observations) are also reported to compare the different springs

Back to article page