Geostatistical interpolation model selection based on ArcGIS and spatio-temporal variability analysis of groundwater level in piedmont plains, northwest China.

Xiao, Yong; Gu, Xiaomin; Yin, Shiyang; Shao, Jingli; Cui, Yali; Zhang, Qiulan; Niu, Yong

Xiao, Yong; Gu, Xiaomin; Yin, Shiyang; Shao, Jingli; Cui, Yali; Zhang, Qiulan; Niu, Yong.

Afiliación

Xiao Y; School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, 100083 PR China.
Gu X; School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, 100083 PR China.
Yin S; School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, 100083 PR China ; Beijing Water Science and Technology Institute, Beijing, 100044 PR China.
Shao J; School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, 100083 PR China.
Cui Y; School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, 100083 PR China.
Zhang Q; School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, 100083 PR China.
Niu Y; Beijing Water Science and Technology Institute, Beijing, 100044 PR China ; Shandong Agricultural University, Taian, 271018 PR China.

Springerplus ; 5: 425, 2016.

Article en En | MEDLINE | ID: mdl-27104113

Palabras clave

China; Groundwater level; Interpolation model; Piedmont plain; Spatio-temporal variability

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Springerplus Año: 2016 Tipo del documento: Article Pais de publicación: Suiza

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google