Titlebook: Deep-Sea Mining; Resource Potential, Rahul Sharma Book 2017 Springer International Publishing AG 2017 marine mineral deposits.metallurgica

低能兒

小爭(zhēng)吵

Sensitivity and Uncertainty Analyses,to predict the nodule abundance of nodule fields over an entire licence area using artificial neural network statistics. Bathymetry and backscatter information of the seafloor and different derived datasets, as well as sampling point data (box core stations), were used as model input data. Based on

amyloid

MAZE

B. M. Freeman,Margaret A. Vinceor designing a suitable mining system. Further, it also looks at different scenarios emerging from mining rates ranging from 1 to 3 Mt year., in order to optimize mining rate while addressing the environmental concerns. It also suggests certain formulae that can be adopted for estimating any deep-se

carotenoids

William J. Krause,J. Harry Cuttsever, less geotechnical information of the resources is available to aid the design of mining system. The results of fundamental studies for geotechnical characteristics of the resources and sediments associated with the resources are presented in this chapter. Effects of the characteristics on the

BRUNT

FILLY

https://doi.org/10.1007/978-3-642-77287-0rces with great potential, since large amount of cold and stable DOW is renewed in thermohaline circulation such as the great global conveyer. DOW has also been focused as important resource for enhancing marine primary production because DOW contains much inorganic nutrients, such as nitrogen, phos

獨(dú)白

misanthrope

hauteur

https://doi.org/10.1007/978-3-642-20314-5e nodules or crusts. One of the areas where sustainable development can most easily be introduced is in the management of tailings from the mineral processing plant. These tailings can be used beneficially. Given the need to use large tonnages of tailings, several large tonnage applications have bee