Results 181 to 190 of about 9,417 (273)

HYDROGEOCHEMISTRY OF THE ZAELTSOVSKY-MOCHISHCHE FIELD OF RADON WATERS

, 2019
Д. А. Новиков, А. С. Деркачев, А. Ф. Сухорукова   +2 more
openalex   +1 more source

Evaluation of drinking water quality and associated health risks in Adama City, Ethiopia. [PDF]

Heliyon
Beshir A, Reddythota D, Alemayehu E.
europepmc   +1 more source

The Icaiche Formation: Major contributor to the stratigraphy, hydrogeochemistry and geomorphology of the northern Yucatán peninsula, Mexico

, 2019
Eugene C. Perry, Guadalupe Velázquez-Olimán, Rosa María Leal‐Bautista, Nicholas P. Dunning   +3 more
openalex   +1 more source

Efeitos da lavagem de raízes de mandioca na hidrogeoquímica fluvial de uma microbacia representativa da agricultura familiar paraense. [PDF]

, 2014
BARROSO, D. F. R., COSTA, F. F., FIGUEIREDO, R. de O., PIRES, C. da S.   +3 more
core  

Health and ecological risk assessment of metals in surface water from the Himalayan tributaries of the Ganga river, India. [PDF]

Geochem Trans
Azam MM, Tripathi JK.
europepmc   +1 more source

Photothermal effectiveness of microporous carbon nanospheres incorporated with polysulfone in direct contact membrane distillation. [PDF]

RSC Adv
Morad M, Fahmi MS, Subaihi A, Alotaibi MT, Shahat A, Ali MEA.   +5 more
europepmc   +1 more source

Identifying groundwater characteristics and controlling factors in Jiaozhou Bay's northern coastal region, China: a combined approach of multivariate statistics, isotope analysis, and field empirical investigations. [PDF]

Sci Rep
Ji D, Ma J, Xue J, Wu X, Wang Z, Wei S.
europepmc   +1 more source

Hydrogeochemistry and behavior of groundwater in the Río Claro basin, Biobío Region.

, 2010
Liubow Gonzalez, María Mardones, Alberto Silva, Eduardo Campos   +3 more
openalex   +2 more sources

Spatial pattern of groundwater chemistry in a typical piedmont plain of Northern China driven by natural and anthropogenic forces. [PDF]

Sci Rep
Hao Q, Xiao Y, Liu K, Yang H, Chen H, Wang L, Wang J, Zhang Y, Hu W, Liu Y, Li B.   +10 more
europepmc   +1 more source

Predicting arsenic and manganese contamination in private well water with Machine Learning: An integrated analysis of geologic, well construction, and permitting data. [PDF]

Sci Total Environ
Payton A, Harrington CE, Miller SL, Colley T, Serre ML, Fry RC, Austin RE, Duckworth OW, Eaves LA, Rager JE.   +9 more
europepmc   +1 more source