Assessment impact of flood to socio-economics of along Namngum river of Nasaithong and Xaythany districts (1995-2004)by using ECLAC methodology

Presented by Mr. Phetsavang Sounnalath- Director NDMO/Lao PDR

Content of presentation;

project background purpose of assessment implementing technique impact assessment ECLAC methodology lesson learned and recommendation

Map of Nasaithong and Xaythany districts

Project background;

under project cooperation with UNESCAP on using ECLAC methodology to assess the impact of flood to socio-economics of selected areas along Namngum River of Nasaithong and Xaythany districts

the study covered Vientiane Mun. and two districts in general, but focused on 10 target villages.

5 villages of Nasaithong and 5 in Xaythany districts, all are flooded almost every year.

The study had done on 4 sectors; agriculture, health, transport and education

Purpose of assessment

first experiment on using ECLAC to Laos to compare with existing methods to find the gaps

to have more clear picture of flood impact in both sides direct and indirect in order to compare the total losses to development indicators

To build an example from NAMNGUM case and adapt to Laos in general

to build a factors that benefit for planning and persuading decision markers.

Implementation technique

Building assessment team Scope; determine the target area to be studied; 10

villages of two districts along NAMNGUM Four sectors; social, agriculture, transport and

education working on data set up the outcome

The assessment of flood impact

social impact; direct ;the loss of individual person and family income in flooded

year from 30 – 45% indirect; flood changed people habit and occupation forced labor out of their places, many migrated to city or cross

border impacted to people food ration and health exhausted effected people resources put people in debt and make them poorer effected to price of agricultural products psychology impact; nerves and loss confidence……

Flood impact

Agriculture; direct; the impact and loss of paddy field, vegetable

fields, fishponds and livestock indirect; estimated the cost of rehabilitation of

paddy and vegetable fields and fishponds, the cost of purchasing of replacement of poultry and animals

for example; in two study Nasaithong and Xaythany districts 2002

Agriculture damage of Nasaithong district in 2002

Item Damage (ha)

Direct loss (in kips)

Indirect loss (in kips)

Total loss (in kips)

Paddy rice 632.5 2.524.307.000 1.270.692.500 3.795.000.000

Vegetable 94.94 313.302.000 195.133.000 498.435.000

Maize 37.12 95.194.240 71.845.760 167.040.000

Total 764.56 2.932.803.740 242.230.000 4.460.475.000

Agriculture damage of Xaythany district in 2002

item Damage area

Direct loss (in kips)

Indirect loss (in kips)

Total loss (in kips)

Paddy rice (ha)

264 1.053.624.000

530.376.00 1.584.000.000

Vegetable (ha) 30 99.000.000 58.500.000 157.500.000

Poultry (head) 3.335 83.375.000 16.675.000 100.050.000

Fishpond (ha) 20 360.000.000 72.000.000 432.000.000

Fish heads 650.000 650.000.000 130.000.000 780.000.000

Total 1.345.999.000

807.551.000 3.053.550.000

Flood impact to agriculture

Direct loss; (calculation ) Damage cost of agriculture area 1 ha= 3.991.000 kips Damage cost of vegetable area 1 ha = 3.300.000 kips Damage cost of maize field 1 ha = 2.564.000 kips Indirect loss; (estimate) Estimate loss of rice yield 1 ha(4 tons) = 6.000.000 kips Estimate loss of vegetable product 1 ha(3.5 tons)= 5.250.000

kips Estimate loss of maize yield 1 ha(3 tons) = 4.500.000 kips

Flood impact to health sector

The clinics and dispensary of two districts were not seriously effected due to the location facilities are not in risky places

flood created problems; - polluted and shortage of drinking water - damage to sanitation facilities; well, toilets - polluted environment, smelled dirt - born some diseases; diarrhea, foot disease - spending more money for treatment Direct loss; calculation of the cost for repairing wells and toilets Indirect loss; - estimate the cost for buying or transporting drinking water - cost of cleaning houses and other facilities

Water and sanitation damage of study villages in 2004

district village well toilet direct indirect total

nasaithong sandin 78 30 54.539.454 14.460.792 69.000.246

honggoua 17 53 49.304.697 10.935.032 60.239.729

nongsa 18 52 48.888.818 9.170.396 58.059.214

nadi 12 22 22.391.420 6.077.680 28.469.100

phatthana 17 22 24.338.785 10.077.680 34.416.049

xaythany nakung 20 42 41.614.244 10.334.200 51.948.444

thasavang 10 25 24.028.530 8.305.480 32.416.049

lathkhouay 32 54 55.952.144 23.165.800 97.117.944

Nong-no 28 40 43.119.324 9.160.288 52.279.612

virnthan 25 23 28.259.912 7.265.000 35.524.921

total 229 323 336.485.193 85.786.132 422.271.325

Flood impact to education sector

Some school were affected by strong wind and rain in flood period, but were not seriously damaged, only number of roofs, tables, chairs, benches and boards had been damaged

the direct cost of damage is estimate the cost of repairing facilities

indirect estimate is based on renting temporally place for school function will awaiting for repair in duration of 10 days (5 classes x 150.000 kips x days)

The total cost of damage for schools in 10 villages is 78.800.000 kips (see table 12 in the report)

Flood impact to transportation and road

Problems; flood affected to roads every year roads to villages had been damaged or cut for

some time increased cost of public and private transport during

and after flood Boards had been used to travel to some areas The direct loss is calculation of repairing or

rebuilding roads Indirect loss is counted upraising price of transport

cost

Transport damage and loss of Sandin village 1996-2004

Village Year Damage (km) Direct loss (KIPS)

Indirect loss (KIPS)

Sandin 1996 8 150.000.000 30.000.000

1998 4 189.000.000 30.000.000

2000 7 98.417.000 30.000.000

2001 7 312.361.200 37.500.000

2002 2 51.249.000 37.500.000

2004 1 150.000.000 37.500.000

TOTAL 29 951.027.332 202.500.000

GRAND TOTAL 1.153.527.332 KIPS

Experience on using ECLAC

ECLAC provided comprehensive framework for analyzing flood impact to all sectors, it help drawing up full scenario of impact in both ways direct and indirect

provide more accurately factors for persuading decision on countermeasures such as; relief, rehabilitation and reconstruction

example can be used to assess the flood impact to countrywide especially important when it can compare percentage of losses to GDP

the existing method is showed that the current practice of estimation could bring to attention only about 50% of total damages and losses if compare to using an ECLAC method

This is the first time that indirect impact had been counted in assessment in Laos

poor recorded and stored of information in local community made gathered information has low accuracy

No experience and technique on estimating of indirect impact

The total damage cost of 10 villages in 2004

District/village agriculture water transport education Total in kips

1.sandin 807.120.000 69.000.246 187.500.000 15.600.000 2.766.720.246

2.honggoua 164.640.000 60.239.729 75.000.000 7.900.000 464.519.729

3.nongsa 449.280.000 58.059.214 0 8.500.000 515.839.214

4.phathana 630.000.000 34.416.049 0 8.000.000 672.416.049

5.nadi 398.340.000 28.469.100 0 7.700.000 434.509.100

nasaithong 2.449.380.000 250.184.338 260.000.000 47.700.000 3.007.264.338

1.nakung 787.500.000 51.948.444 244.500.000 8.000.000 1.091.948.444

2.thasavang 516.075.000 32.416.049 0 8.100.000 556.591.049

3.ladkhouay 357.000.000 97.117.944 172.500.000 0 626.629.055

4.nongno 262.500.000 52.279.612 175.500.000 8.000.000 498.279.612

5.virnthan 420.000.000 35.524.921 0 8.000.000 463.524.921

xaythany 2.343.075.000 172.086.987 592.500.000 28.030.000 3.135.691.987

Sub- total 4.792.455.000 422.271.325 852.500.000 75.730.000 6.142.956.325

Recommendation

further adapting ECLAC to Laos at countrywide training on ECLAC NDMO should take the lead propose structural works; building drainage system,

earthen embankment, repairing roads and schools running capacity building activities; improve an

early warning and information dissemination, environmental management, training on disaster reduction

Mekong September 2005

Flood in 2005

Thank you for attention