Environmental Engineering Reference
In-Depth Information
Sub
-
elds for Component 2: Speci
cation of scale conditions
(a)
Projects and programmes
: Analysis of success and failure of policy, pro-
grammes and projects, exploring both backward and forward linkages in an
institutional and biophysical context; clarifying boundary conditions both
spatially and temporally
(b)
Linked databases
: Analysis of backend data from government ministries,
UNU, universities and UN agencies that is relevant to water resources, sys-
tems and flux, waste management and soils
(c)
Process documentation
: Analysis of regional consultations that generates
important insights related to needs assessments, gap analysis and overlaps in a
cost-effective manner
(d)
Citizen observatories
: Employ private data sets based on information from
GIS, mobile and open source computing applications
(e)
Data visualization
: Employ suitable modelling/remote sensing techniques for
data rich and poor environments
elds for Component 3: Intersections
(a)
Biophysical processes
: Employ suitable modelling/remote sensing techniques
for data rich and poor environments
(b)
Financing processes
: Understanding of norms for allocation of funds, func-
tions and functionaries and transfers, taxes and tariffs
(c)
Socio-economic processes:
Understanding of demographics, income, ethnic,
gender and resource use attributes of users of environmental resources
Sub
-
Sub
-
elds for Component 4: Interactions
(a)
Donor level
: Understanding of donor policies, projects and programmes
(b)
National level
: Understanding of legal framework, policies and programmes
(c)
Provincial
level
: Understanding of management strategies, directives and
guidelines
(d)
Local government level
: Understanding of equity norms, coordination norms
and allocation norms
Sub
-
elds for Component 5: Feedback loops
financing structures
(b)
Environmental resource
: Trends in use of water, waste and soil resources
(c)
Human-Environment interaction
: (1) Data proxies for environmental resource
flows and fluxes, soil quality and waste characteristics and economic effects of
waste, (2) Data proxies for socio-economic attributes relating to income,
employment, demography, gender and/or ethnicity, and (3) Data proxies for
dimensions of environmental resource use: consumption, price, volumes,
cropping intensity, farming techniques
(d)
Programme
: Assumptions, risks, outcomes and impact
(e)
Project
: Assumptions, risks, outputs and outcomes
(a)
Interventions
: Policy, programme and
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