Nile Basin Development Challenge - GOV.UK...Pamela Pali October 2011 Outline • Introduction • KAP survey • Methodology • Results • Conclusions Introduction • KAP responds

Nile Basin Development Challenge

Nile BDC Knowledge Attitudes and Practices (KAP): Baseline 2011

Pamela Pali October 2011

Outline • Introduction

• KAP survey

• Methodology • Results

• Conclusions

Introduction • KAP responds to N2 & N3 - RWM strategies,

targeting and scaling out. • Project deliverables: identification of biophysical

conditions affecting the suitability of RMS • Need to identify the RMS that work best for in

which parts of Ethiopian highlands given soil topography rainfall levels

• Bring together a range of relevant stakeholders assess the interventions that currently exist to determine the targeted methods to be applied

• Stakeholder workshop to assess the baseline knowledge and data input and the training needs assessment

Knowledge Attitude and Practice A study of Ethiopian RMS partners conducted to collect information on what is currently known, believed and done in relation to existing targeting approaches

Objective of the KAP survey • To assess the levels of understanding and

application of land use, hydrology and agricultural planning tools

• To establish the status of the knowledge and skills of GIS tools and its applications

Methodology • Structured questionnaires –

– developed by members of N3 – Background of the respondent – Use of GIS, access to data bases and related aspects – Use and application of DSS – Self assessment of knowledge on different aspects – Attitudes

• Data entry & analysis: Excel 2007 Pivot tables.

• N participants – 7 : Land use & Hydrological models – 13: GIS self assessment Knowledge

• N partners: 11 partner Institutions

GIS USE IN LAND USE, HYDROLOGY & LUP

Partner Position Held n

Bahir Dar University 1

Addis Ababa University Chair: Hydrology and Water Resource Management

1

Amhara Regional Agricultural Research Institute(ARARI )

Researcher Junior Researcher

2

Sustainable Land Use forum (SLUF) Program Manager 1

Catholic Relief Services (CRS) 1

Haramaya University Project coordinator 1

RWM & GIS Use

012345678

Rese

arch

in R

WM

Indi

cato

rs i

n RW

M

Tech

nica

l Exp

ertis

e in

HM

Use

of H

M

Indi

cato

rs f

or E

I of R

WM

Expo

sure

to

DSS

Expo

sure

to

SA a

nd IA

USe

GIS

GIS

lega

l lic

ense

GIS

with

out

licen

se

Geo

-ref

eren

cing

Acc

ess

to G

IS d

ata

Acc

ess

to m

eteo

data

set

Acc

ess

to h

ydro

logi

cal d

atas

et

Rain Water management Geographical Information Systems Access to data

Num

ber

of R

espo

nden

ts

Yes No

PARTNER RWM RESEARCH

HM USED DSS USED

ARARI Soil water mgt USLE, RUSLE AGNP, SWAT

DSSAT APSIM, SDS

CRS Multiple uses of water

- -

Haramaya RWH Storage

- -

Addis ababa university

- HEC, HBV Smart models

Hydrological DSS

Bahir Dar university

- SWAT HEC – HMS WEAP

-

0

1

2

3

4

5

6

7

8

Geog

raph

ical

Info

rmat

ion

Syst

ems

Suita

bilit

y an

d Re

com

men

datio

ndo

mai

n m

aps

Part

icip

ator

y M

appi

ng

Inve

ntor

y of

Res

ourc

es

Impa

ct a

sses

smen

t

Deci

sion

Supp

ort S

yste

ms

Scen

ario

Ana

lysis

Trad

e-of

f Ana

lysis

Hydr

olog

ical

Mod

els

Rain

Wat

er M

anag

emen

t

Econ

omic

Val

uatio

n of

env

ironm

enta

lRe

sour

ces

Cost

and

Ben

efit

anal

ysis

ofin

terv

entio

n

Usefulness of Tools Practices & Methods Very useful Somewhat Useful Don't Know/NA

Attitude Statement Partner Strongly agree

Agree No Opinion

Disagree

Policy makers should participate in process of building decision support system

4 2 1 Haramaya University

0

Innovation Platform should help local stakeholders and communicates to participate in design interventions

6 0 0 1 ARARI

Improving rainwater productivity can allow improving food security & livelihoods

6 1 0 0

Intervention should be targeted to specific contexts thereby taking into account local values, agro-ecologies and Production systems

7 0 0 0

Longer term impacts should be taken into account when planning rainwater management interventions

5 1 0 1 ARARI

Up and down stream impacts should be taken into account when planning rain water management interventions

7 0 0 0

Section Summary

• GIS is widely used and reported to be useful but GIS data is accessed by half the respondents

• Meteodata set and hydrological data set are more accessible than GIS data

• More respondents use ArcView with a licence but half use it without a license

• Half the respondents do not use indicators to assess the economic impact of RWM

• 3 partners of six were able to state the actual models that they use and fewer partners use scenario analysis and impact assessment models

• Participatory mapping and rain water management methods are found to be useful by all respondents while trade off analysis was found to be useful by only half the respondents

GIS KAP BASELINE SURVEY

Partner Position Held n Adet Agricultural Research Centre (AARC)

RWM researcher 2

Ethiopian Rain water Harvesting Association (ERHA)

Project officer and Acting Executive Director 1

Gonder Agricultural Research Centre (GARC)

Researcher, Junior Forestry Researcher II, 3

Sekota DARC S &W research directorate coordinator, Agricultural Water Management Researcher

3

Sirinka agricultural Research Centre (SARC)

Junior Researcher II, 2

Training

0

0.5

1

1.5

2

2.5

3

3.5

SARC AARC GARC Sekota DARC ERHA

Organizations

Number reporting GIS training

0123456789

Vect

or fo

rmat

impo

rtin

g Ba

sed

on X

Y lo

catio

ns

Geo-

refe

renc

ing

Editi

ng

Rast

er fo

rmat

Geo-

data

base

Som

e ba

sics o

n da

ta b

ase

conc

epts

Coor

dina

te C

hang

e (P

roje

ctio

ns),…

GPS

Digi

tizin

g

Scan

ning

Vect

or O

verla

y

Data

base

Que

ry

Rast

er c

alcu

latio

ns

Digi

tal t

erra

in m

odel

ing

Spat

ial j

oint

s

Conn

ectin

g fe

atur

es to

att

ribut

e o…

Net

wor

k an

alys

is

Mul

tiple

crit

eria

Ana

lysis

Prox

imity

ana

lysis

Inte

rpol

atio

n

Stat

istic

al A

naly

sis

Data Compilation and Storage Data Capture Data Analysis

Aspects of training reported

Partners self assessment of knowledge & skills in GIS

9 6 6

13

44

22

0

5

10

15

20

25

30

35

40

45

50

Very good Good Average Not good Poor Did notanswer

Rating

Perc

enta

ge

0

10

20

30

40

50

60

Very good Good Average Not good Poor No Response

Data Capture (%)

GPS Digitizing Scanning

0

5

10

15

20

25

30

35

40

45

50

Very good Good Average Not good Poor No Response

Data Compilation & Storage (%)

Geo-referencing Editing vector formatRaster format Geo-database Coordinate Change

01020304050607080

Sym

boliz

atio

n

Map

Lay

out

Expo

rtin

g an

d Pr

intin

g

Data

base

Que

ry

Net

wor

k an

alys

is

Vect

or o

verla

y

Rast

er C

alcu

latio

ns

Digi

tal t

erra

in m

odel

ing

Prox

imity

ana

lysis

Inte

rpol

atio

n

Stat

istic

al A

naly

sis

Mul

tiple

crit

eria

ana

lysis

Data Analysis (%)

Very good Good Average Not good Poor No Response

Summary • Majority (90%) received GIS training • Most (72%) received training on GPS, geo

referencing, importing based on XY locations BUT NONE on scanning, multi criteria analysis, proximity analysis, interpolation and statistical analysis

• Respondents had more capacity on data compilation and storage but less on data capture and analysis

• Partners self assessment of knowledge and skills was rated on average as poor by 57% of the respondents

Conclusions

• Need for more GIS training in addition to previous training – Need for a basic GIS practical training

• Poor knowledge and skill about data analysis – Need for a more advanced training