1. 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

2. Content of presentation; project background purpose of assessment implementing technique impact assessment ECLAC methodology lesson learned and recommendation

3. Map of Nasaithong and Xaythany districts

4. 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

5. 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.

6. 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

7. 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……

8. 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

9. Agriculture damage of Nasaithong district in 2002 Item Damage (ha) Direct loss (in kips) Indirect loss (in kips) Total loss (in kips) Paddy rice 632.52.524.307.0001.270.692.5003.795.000.000 Vegetable 94.94313.302.000195.133.000498.435.000 Maize 37.1295.194.24071.845.760167.040.000 Total 764.562.932.803.740242.230.0004.460.475.000

10. Agriculture damage of Xaythany district in 2002 itemDamage area Direct loss (in kips) Indirect loss (in kips) Total loss (in kips) Paddy rice (ha) 2641.053.624.00 0 530.376.001.584.000.00 0 Vegetable (ha) 3099.000.00058.500.000157.500.000 Poultry (head) 3.33583.375.00016.675.000100.050.000 Fishpond (ha) 20360.000.00072.000.000432.000.000 Fish heads 650.000650.000.000130.000.000780.000.000 Total 1.345.999.00 0 807.551.0003.053.550.00 0

11. 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

12. 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

13. Water and sanitation damage of study villages in 2004 districtvillagewelltoiletdirectindirecttotal nasaithongsandin 783054.539.45414.460.79269.000.246 honggoua 175349.304.69710.935.03260.239.729 nongsa 185248.888.8189.170.39658.059.214 nadi 122222.391.4206.077.68028.469.100 phatthana 172224.338.78510.077.68034.416.049 xaythanynakung 204241.614.24410.334.20051.948.444 thasavang 102524.028.5308.305.48032.416.049 lathkhouay 325455.952.14423.165.80097.117.944 Nong-no 284043.119.3249.160.28852.279.612 virnthan 252328.259.9127.265.00035.524.921 total 229323336.485.19385.786.132422.271.325

14. 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)

15. 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

16. Transport damage and loss of Sandin village 1996-2004 VillageYearDamage (km)Direct loss (KIPS) Indirect loss (KIPS) Sandin19968150.000.00030.000.000 19984189.000.00030.000.000 2000798.417.00030.000.000 20017312.361.20037.500.000 2002251.249.00037.500.000 20041150.000.00037.500.000 TOTAL29951.027.332202.500.000 GRAND TOTAL 1.153.527.332 KIPS

17. 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

18. The total damage cost of 10 villages in 2004 District/villageagriculturewatertransporteducationTotal in kips 1.sandin807.120.00069.000.246187.500.00015.600.0002.766.720.246 2.honggoua164.640.00060.239.72975.000.0007.900.000464.519.729 3.nongsa449.280.00058.059.21408.500.000515.839.214 4.phathana630.000.00034.416.04908.000.000672.416.049 5.nadi398.340.00028.469.10007.700.000434.509.100 nasaithong2.449.380.000250.184.338260.000.00047.700.0003.007.264.338 1.nakung787.500.00051.948.444244.500.0008.000.0001.091.948.444 2.thasavang516.075.00032.416.04908.100.000556.591.049 3.ladkhouay357.000.00097.117.944172.500.0000626.629.055 4.nongno262.500.00052.279.612175.500.0008.000.000498.279.612 5.virnthan420.000.00035.524.92108.000.000463.524.921 xaythany2.343.075.000172.086.987592.500.00028.030.0003.135.691.987 Sub- total4.792.455.000422.271.325852.500.00075.730.0006.142.956.325

19. 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

20. Mekong September 2005

21. Flood in 2005

22. Thank you for attention