Environmental Engineering Reference
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Kumar, N., & Sinha, D. (2010). Drinking water quality management through correlation studies
among various physicochemical parameters: A case study.
International Journal of Environ-
mental Sciences, 1
, 253
-
259.
Kurian, M., & Ardakanian, R. (2014). The nexus approach to governance of environmental
resources considering global change. In M. Kurian & R. Ardakanian (Eds.),
Governing the
nexus: Water, soil and waste resources considering global change
. Dordrecht: Springer.
Kwakkel, J., Carley, S., Chase, J., & Cunningham, S. W. (2014). Visualizing geo-spatial data in
science, technology and innovation.
Technological Forecasting and Social Change
,
81
,67
81.
Lal, R. (2013).
The nexus of soil, water and waste. UNU-FLORES Lecture Series
. Dresden: UNU-
FLORES.
Lal, R. (2014). The nexus approach to managing water, soil and waste under changing climate and
growing demands on natural resources. In
Advancing the nexus approach to the sustainable
management of water, soil and waste
-
40). Dresden: UNU-FLORES.
Leblanc, M., Lemoalle, J., Bader, J., Tweed, S., & Mofor, L. (2011). Thermal remote sensing of
water under flooded vegetation: New observations of inundation patterns for the
—
White Book (pp. 19
-
'
Small
'
Lake
Chad.
Journal of Hydrology
,
404
,87
-
98.
Liebe, J., Van De Giesen, N., & Andreini, M. (2005). Estimation of small reservoir storage
capacities in a semi-arid environment: A case study in the Upper East Region of Ghana.
Physics and Chemistry of the Earth
,
30
, 448
-
454.
Lin, H., Chen, M., Lu, G., Zhu, Q., Gong, J., You, X., Wen, Y., Xu, B., & Hu, M. (2013). Virtual
geographic environments (VGEs): A new generation of geographic analysis tool.
Earth-
Science Reviews
,
126
,74
-
84.
Mateu, J., & Muller, W. G. (Eds.). (2012).
Spatio-temporal design: Advances in ef
cient data
acquisition
. New York: Wiley-VCH.
Melesse, A. M., Weng, Q., Thenkabail, P. S., & Senay, G. B. (2007). Remote sensing sensors and
applications in environmental resources mapping and modelling.
Sensors
,
7
, 3209
-
3241. doi:
Microsoft Research (2013). Worldwide telescope and layerscape. Available at
http://www.
Milewski, A., Sultan, M., Yan, E. Becker, R., Abdeldaymen, A., Soliman, F., & Gelil, K. A.
(2009). A remote sensing solution for estimating runoff and recharge in arid environments.
Journal of Hydrology
,
373
,1
14.
Mirkin, B. (2011).
Core concepts in data analysis: summarization, correlation and visualization
.
London: Springer.
Molina, J., Rodr
í
guez-Gonz
á
lvez, P., Molina, M. C., Gonz
á
lez-Aguilera, D., & Espejo, F. (2014).
Geomatic methods at the service of water resources modelling.
Journal of Hydrology
,
509
,
150
-
162.
Muller, M. (2009). Attempting to do it all: how a new South Africa has harnessed water to address
its development challenges. In R. Lenton & M. Muller (Eds.),
Integrated Water Resource
Management in practice. Better water management for development.
(pp. 169-185). London:
Global Water Partnership, Earthscan.
worldmapper.org
.
Verified March 28, 2014.
Nyitambe, J. E. (2014). Water point mapping initiative: The case of rural water supply in Tanzania.
In
Proceedings of the International Kick-Off Workshop, Advancing a Nexus Approach to the
Sustainable Management of Water, Soil and Waste
(pp. 106
-
-
118). Dresden: UNU-FLORES.
O
'
Looney, J. (2001).
Beyond maps
GIS and decision making in local government
. Redlands:
—
ESRI Press.
Olmanson, L., Brezonik, P., & Bauer, M. (2013). Airborne hyperspectral remote sensing to assess
spatial distribution of water quality characteristics in large rivers: The Mississippi River and its
tributaries in Minnesota.
Remote Sensing of Environment
,
130
, 254
-
265.
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