LEVERAGING SPATIAL ASSESSMENT ON WATERSHED EROSION IN THE UPPER CITARUM CATCHMENT:

SUPPORT TO POLICY MAKING IN ADAPTATION MEASURE DUE TO NATURAL AND ANTHROPOGENIC FACTORS

1. Introduction

□ Define the title (keywords)

- Watershed is...

- Erosion is...

- Natural climate (precipitation)

- Anthropogenic human (land cover)

- UCC is... part of citarum. Citarum is one among the largest...

□ Background and urgency (+what if not)

- Why UCC is important: size of Citarum (catchment capacity, hydologic function/role), population density, economic value of population, direct connection to Saguling (Saguling is buffer to Cirata and Jatiluhur (Jatiluhur is power plant. Jatiluhur supply 20% for Jakarta))

- Why assessment of erosion is important: Erosion is natural process. Human intervention is destructive. It intensify the process of erosion. List of negative impact of erosion:

1. Reduction of fertility of soil

2. Reduction of drainage of capacity leading to flood

3. ...

- What if not: environmental quality degradation can not be predicted misleading management in decision making worsening

□ Concept (knowledge to approach the problem)

- Watershed erosion model: erosion, SDR, sediment yield

Erosion: e = SCKR

SDR = transport efficiency

Y = e x SDR

□ Problem

- Latest known study (2001), findings: increasing erosion, constant SDR, increasing yield, magnitude = ?, spatial association between increasing erosion and land cover changes (deforestation)

- Present state is not available

□ Goal(s)

- To map spastial distribution of erosion

- Its spatial relation with land cover changes

- Natural vs anthropogenic control to the changes (in erosion)

- State of environmental quality in regard to erosion (range) simulation of full forest and full bareland

- Its yield to the next watershed subsystem (Saguling) age of dam

□ Scope (limitation)

- Temporal scope: 2001 and 2005

- Spatial scope: UCC, spatial resolution: 100 m

- Conceptual (parameter): SDR assumed constant (why)

2. Data and Method

□ Method/ Theoretical Background

Desktop spatial analysis/simulation

Tool: ArcGIS Desktop is used for data processing, spatial analysis, and visualization.

Steps:

- Calculation of the four parameters (SCKR)

- Calculation of ecological footprint per district according to food consumption, energy consumption, yield of specific land area. Since those parameters are in different dimension, normalization have to be applied first.

- Calculation of experienced well-being according to education, income, employment. Since those parameters are in different dimension, normalization have to be applied first.

- Calculate the HPI.

- Display the HPI within district on map, describe the spatial distribution, analysis (sort, mean, median, max, min, etc.), trend (spatial relation).

□ Data

- E = SCKR, S = f(DEM), C = f (land cover), K = f(soil type), R = f(precipitation)

- Watershed boundary: ESRI ITB Comunity Centre

Describe the data: Unit of data, Magnitude, Resolution, Source

3. Result and Discussion

Result

Map of the distribution of happiness by districts with the following characteristic, magnitude and spatial (from HPI).

Discussion (back to scope)

Validity: 2014

Spatial resolution of happiness distribution

Conceptual (parameter)

Accuracy: not known (kalo emang belum tau)

Reliability: authorized information

4. Conclusion and Recommendation

Map of the distribution of happiness by districts with the following characteristic, magnitude and spatial (from HPI). (Final knowledge/finding directly relate to result)

Recommendation based on this research