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    Assessing Climate change Impacts and Adaptation in Central Vietnam using

    Watershed and Community Based Approach:Case study in Quang Nam Province

    Nguyen Kim Loi(1)

    , Nguyen Van Trai(1)

    , Hoang Thi Thuy(1)

    , Nguyen Thi Huyen(1)

    ,

    Le Anh Tuan(2)

    , Suppakorn Chinvanno(3)

    (1) Nong Lam University, Ho Chi Minh City, Vietnam(2) Can Tho University, Vietnam

    (3) Southeast Asia START Regional Center, Bangkok, ThailandABSTRACT

    With the changes in climate, biophysical, socio-cultural, economic and technological

    components, paradigm shift in natural resources management are unavoidably

    adapt/modified to harmonize with the global changes and the local communities needs.

    This research focused on climatic change risk, vulnerability and adaptation in Dong Giang

    district in response to climate change impacts as case study. The Soil and Water Assessment

    Tool (SWAT) model was applied to assess climate, land use change and practice impacts to

    soil and water resources in Dong Giang district as upstream of Vu Gia watershed, Quang

    Nam province. This part focuses on the relationship between upstream and downstream in

    Vu Gia watershed and using sustainable watershed management in response to climate

    change in Quang Nam province, Vietnam. The research also concerns with changes inecological and socio-economic conditions driven by climate change and human activities in

    Dong Giang; and adaptation measures in agricultural production and livelihoods to suit the

    new conditions.

    Keyword: Climate change, Watershed management, Community Base, Quang Nam

    INTRODUCTION

    Current climate change estimates indicate that major environmental changes are likely to

    occur due to climate change in practically every part of the world, with majority of these

    changes being felt through modification of hydrological cycle as e.g, floods, droughts and

    storms. Climate change impacts are also estimated to be particularly severe in many

    developing countries of the world and especially in Vietnam.. The recent studies (World

    Bank Study, Dasgupta et al.: 2007, IPCC, 2007) have concurred that Viet Nam will be one

    of most vulnerable countries to climate change in the world. Gradual changes such as sea

    level rises and higher temperatures, more extremes of weather such as drought, and more

    intense typhoons are all on the horizon and will have a potentially devastating impact on the

    countrys people and economy.

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    Dong Giang District is one of eight mountainous districts that locate in western part of

    Quang Nam province the centre of Vietnam, with 70 km far way from Da Nang city. The

    area often have tremendous catastrophically natural hazard by flood and typhoon. Recently,the number of events occurring such as landslide, drought, flash flood, etc. has increased

    rapidly. In addition, developing activities in the area such as hydropower construction, road

    building, and deforestation contributed to changing of ecosystem in Vu Gia watershed.

    Hence, this research attempts to assess climate change impacts on ecosystems and livelihood

    in Dong Giang district, Quang Nam province and to make policy recommendations to

    decision maker on climate change impacts to adapt to the new context.

    STUDY AREA DESCRIPTION

    Dong Giang District is one of eight mountainous districts located in western part of Quang

    Nam province and upstream Vu Gia watershed the central Vietnam, with 107o

    30 to

    107o56 longitude and 15

    o35 to 16

    o10 latitude and 70 km west of Da Nang city. The region

    occupies an area of approximately 81,000 ha as shown in Figure 1. The Dong Giang district

    has been divided into 10 villages and 1 town. Dong Giang locates in mountainous area

    associated with small valleys and distributed by small and middle stream networks. The area

    is classified into 3 categories by height, i.e. the area of higher than 1000m over sea level

    accounts for approximately 22,600 ha which is 27.81% of the total; from 500m to 1000m

    height is about 38,400 ha ( 47.25%) and below 500m is 24.94%.

    Statistically, the population of the district was 23,635 people in 2008, of which 73.21% wereCtu ethic-a minor group and the rest was Kinh people. Eighty percent of the local

    population relied on agricultural production and forestry activities for their livings. The

    value of Dong Giang district has been based on its diverse natural, cultural and historical

    resources including forest and its products, ethnic culture, etc.

    On the other aspect, the area often suffers from tremendous catastrophically natural hazard

    causing by flash flood and typhoon. Recently, these disasters are in increasing trends. In

    addition to natural disasters, developing activities such as hydropower construction, road

    building, mining and stone exploitation have accelerate the hazard.

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    Figure 1. Vu Gia watershed map

    METHODOLOGY

    1. Brief description of SWAT model

    The Soil and Water Assessment Tool (SWAT) has been widely applied for modeling

    watershed hydrology and simulating the movement of non-point source pollution. The

    SWAT is a physically based continuous time hydrologic model with Arcview GIS

    interface developed by the Blackland Research and Extension Center and the USDA-ARS

    (Arnold et al., 1998) to predict the impact of land management practices on water, sediment,

    and agricultural chemical yields in large complex basins with varying soil type, land use and

    management conditions over long periods of time. The main driving force behind the SWAT

    is the hydrological component. The hydrological processes are divided into two phases, the

    land phase, which control amount of water, sediment and nutrient loading in receiving

    waters, and the water routing phase which simulates movement through the channelnetwork. The SWAT considers both nature sources (e.g. mineralization of organic matter

    and N-fixation) and anthropogenic contributions (fertilizers, manures and point sources) as

    nutrient inputs (Somura, H. et.al. 2009). The SWAT is expected to provide useful

    information across a range of timescales, i.e. hourly, daily, monthly, and yearly time-steps

    (Neitsch et al., 2002).

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    2. The Scenario Planning Process for watershed and community approach

    2.1. The SWAT Model

    The principal planning task is aiming at the efficient planning of future in Vu Gia watershed.

    The objectives of each plan will assist in deciding upon the socio-economic, physical and

    environmental data that required formulating the different planning scenarios. The derived

    objectives are also used later in the methodology to evaluate the efficiency of each proposed

    planning scenario.

    The next step of the planning process is to formulate possible land-use scenarios. Two land-

    use scenarios are formulated for Vu Gia watershed as input of SWAT model.

    Scenario A: Vu Gia watershed Land use map in 2000.

    Scenario B: Existing land use map in Vu Gia watershed in 2008.

    Impact assessment of changes in land use practices and human practices in Vu Gia

    watershed on surface water, sediment yield during the period from 2000 2008.

    The SWAT model requires meteorological data such as daily precipitation, maximum and

    minimum air temperature, wind speed, relative humidity, and solar radiation data. Spatial

    data sets including digital parameter layers such as parameters (R, K, C, P) and topography

    (LS) was digitized from the associated maps. LS factor of the watershed is derived from

    digital elevation model (DEM) obtained from topography. The SWAT model was applied in

    Vu Gia watershed as shown in Figure 3, 4.

    2.2 PRA (Participatory Rural Appraisal) Method

    In order to conduct a comprehensive assessment of climate change impacts on ecosystem

    and livelihood in Dong Giang district, the PRA method (as shown in Figure 2) was applied

    to collect data for additional analysis. Specifically, the PRA method in combination with

    field visit were conducted in Dong Giang to collect information for an overall picture of the

    district regarding concerns in livelihoods (including agricultural productions and other living

    activities) in relation with climate change issues and natural disasters; and adaptation

    capacity of local people to the new context. Especially, the discussion also aimed to identify

    the perspectives of local people on climate change issues that affect their living conditions.

    Participants in the PRA discussion comprised of research team members (from RCCC of

    Nong Lam University, Dragon Institute of Can Tho University and SEA-START Center,

    Thailand) who played a role of facilitators to guide the discussion and local authorities, other

    stakeholders (Social Unions and farmers).

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    Figure 2. Photos of PRA discussion in Dong Giang District, Quang Nam

    Province

    Figure 3. The SWAT model

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    Figure 4. Application of SWAT model in Vu Gia watershed

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    RESULTS AND DISCUSSION

    1. Evaluation of land use change effect on surface runoff and sediment yield

    In Vu Gia watershed have 5 sub-basins as shown in Figure 5 based on SWAT model. In

    order to develop sound management schemes of protecting the Vu Gia watershed and to

    have clear picture of the impact of climate and land use changes specifically on surface

    runoff, and sediment yield. The calibrated model was run to simulate two land use change

    scenarios. Land use change scenarios are:

    Scenario A: Vu Gia watershed Land use map in 2000.

    Scenario B: Existing land use map in Vu Gia watershed in 2008.

    For developing the scenarios, the key processes and related model parameters such as P

    factor of USLE, infiltration rate were modified in the appropriate SWAT input files. AnUSLE P factor of 0.6 to 1.0 was used in simulations to reflect the condition of the watershed

    with and without soil conservation intervention. The predicted surface runoff and sediment

    yield in 2000 and 2008 were summarized in Table 1. The daily simulated surface runoff and

    sediment yield in the watershed is shown in Figure 6, 7.

    Figure 5. The Vu Gia watershed along with its sub-basin automatically delineated

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    Table 1. The SWAT output (monthly) with different land use scenarios

    Rainfall (mm) Surface runoff Q(mm) Sediment yield(ton/ha)

    Scenario A Scenario B Scenario A Scenario B Scenario A Scenario B

    11.90 21.10 0.01 0.70 0.00 0.59

    81.01 26.90 17.03 0.26 11.74 26.26

    66.96 71.78 7.19 11.03 18.42 13.65

    183.50 183.50 49.18 70.79 45.50 51.41

    195.47 195.47 57.69 80.41 19.62 78.94

    126.83 126.83 49.84 89.08 11.50 5.40

    328.80 398.80 99.53 190.34 0.23 15.48

    435.76 465.76 90.40 210.54 61.08 130.04

    393.16 393.16 91.34 196.34 13.56 156.40

    482.41 482.41 110.65 219.87 28.82 118.87

    328.80 228.80 70.32 87.87 0.16 91.91

    68.35 58.15 8.05 7.50 8.84 10.95

    Figure 6. Simulated surface flow in sub-basin 1 (Dong Giang district) in Vu Gia watershed

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    Figure 7. Simulated Sediment yield loading to reservoir in Vu Gia watershed

    To assess the effects of land use change in the study area, the SWAT model was run to

    simulate two scenarios of land use changes on surface runoff, sediment yield. Results of the

    simulation shown that surface runoff increase when forest converted to agricultural land. An

    increase about 42.22% in surface runoff occurs when 21% of the forest area converted to

    agricultural land. Meanwhile, sediment yield increase about 54.2% compared between 2000

    (28.96 ton/ha) and 2008 41.66 ton/ha).

    Table 2. The SWAT simulated statistics for Vu Gia watershed using land use scenario A

    (2000) and land use scenario B (2008)

    Scenario Precipitation (mm) Surface runoff (mm) Sediment yield

    (ton/ha)

    2008 2652.66 41.89 41.66

    2000 2702.95 29.44 28.96

    2. Effect of extreme weather phenomenon on natural and socio-economic conditions of

    Dong Giang District.

    Result from the PRA discussion is presented in Figure 8.

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    Figure 8. Ecological and socio-economic changes caused by extreme weather conditions and

    adaptation to suit the new context.

    The above flow chart conveys a key message that the destructive phenomena including

    extreme weather conditions that occurred recently in Dong Giang was partially caused by

    climate changes. For instance, more landslide incidences were due to heavier rainfall and

    torrent that occurred at higher frequency in the district recently. Similarly, higher

    temperature events and more frequent storm tend to increase in the last few years. In spite of

    human activities such as construction of hydropower plants and gold mining were also keysectors caused adverse impacts on the environment, climate change phenomena are believed

    to significantly contribute to the livelihood changing.

    Most of the mentioned phenomena caused adverse effects on local people in various aspects

    such as ecological changes, socio-economic disruption and some other gender issues. In

    terms of ecological changes, the most frequent reported events included loss of agriculture

    land, disease occurrence in human and agricultural productions, change in water quality and

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    current pattern leading to loss of fish species. Other concerns were that custom and

    livelihood changes due to home loss and resettlement.

    In order to adapt to new conditions, local people have adjusted their farming calendar and

    changed varieties for cultivation and husbandry. For example, cow has been raised instead of

    buffalo because it can tolerate better in hotter weather. However, eco-tourism has been

    further developed because it benefit from a longer dry season and drought which prompt

    tourists to searching such environment in the District.

    CONCLUSIONS

    This research is just the first step apply SWAT in Vu Gia watershed. The SWAT modelperformed well in simulating the general trend of surface runoff, sediment yield, at

    watershed over time for daily, monthly time intervals. The results shown that the land use

    change and practices was affected surface runoff, sediment yield. Results of the simulation

    shown that surface runoff increase when forest converted to agricultural land. An increase

    about 30% in surface runoff occurs when 21% of the forest area converted to agricultural

    land. Meanwhile, sediment yield increase about 54.8% compared between 2000 (24.96

    ton/ha) and 2008 (38.66 ton/ha).

    These simulated effects of forest conversion to agricultural crops clearly indicate an

    alarming situation of watershed elsewhere having the same land use pattern. In Vu Giawatershed, we recommend that policies addressing this problem should be formulated both

    at the local and national level. Parallel to this, an intensive information and education

    campaign on the consequences of forest conversion and ways of rehabilitating the watershed

    should likewise be done. Finally, alternative livelihood opportunities for upland farmers

    should be considered in policy implementation. While simulation results are subject to

    further validation, this study showed that the Soil and Water Assessment Tool (SWAT)

    model can be a useful tool for modeling the impact of climate and land use changes in

    Vietnam watershed.

    The recent adaptation to deal with changes in ecology and socio-economics requires furtherattention from the authority for more appropriate policies and strategies to support local

    people for better livelihoods.

    REFERENCES

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    ACKNOWLEDGEMENTS

    The authors acknowledge the APN (Asia-Pacific Network for Global Change Research)

    funded Building research capacity on assessing community livelihood vulnerability to

    climate change impact in central Vietnam and Mekong River delta project for funding this

    research.