Hydro-meteorological Disasters Research Articles

Flood Disaster Risk Management In Manado City

Geological and hydrometeorological disasters are disasters that are often experienced by every region in Indonesia. Hydrometeorological disasters such as floods are influenced by strong westerly winds and world climate change. Apart from that, inappropriate land conversion is also one of the factors causing this disaster. One of the regions in Indonesia that is highly vulnerable to flood disasters is the city of Manado. Geographically, Manado City is surrounded by mountains and 5 large rivers that pass-through Manado City, namely the Tikala river and the Tondano river which merge in the Paal 2 area, the Malalayang river, the Sario River and the Bailang River. To overcome this disaster, it is necessary to carry out appropriate mitigation efforts to minimize the impact caused by the flood disaster in Manado City. The aim of this research is to analyze the risk level of flood disasters in Manado City and provide appropriate recommendations related to flood disaster mitigation in Manado City. This research uses analysis with quantitative descriptive research methods. The results of this research are that there are 3 classes of flood disaster risk levels in Manado City. In the high class there are 53 subdistricts, medium 2 subdistricts and low 32 subdistricts. Policy recommendations are made based on the level of risk by taking into account the main causal factors. Furthermore, it is recommended in every sub-district.

Evaluation of Subseasonal-to-Seasonal (S2S) precipitation forecast performance from NMME-2 over Indonesia

Abstract Global Subseasonal-to-Seasonal (S2S) precipitation forecast was known to bridge the gap between weather and seasonal forecast, can be utilized as supporting information for decision-making related to hydrometeorological disaster mitigation activities. However, uncertainty in global models caused forecast performance can be different across regions and time periods. Therefore, it is important to evaluate forecast performance before utilizing the prediction result in any region. In this study, performance of probabilistic precipitation forecast from Multi-model Ensemble (MME) of three models in The North American Multi-Model Ensemble phase 2 (NMME-2) project was evaluated in Indonesia region based on two evaluation metrics: continuous ranked probability score (CRPS) and reliability diagram. The evaluation was conducted during the boreal summer (May–October) and boreal winter (November–April) periods, as well as during the active period of subseasonal climate variability phenomenon Madden-Julian Oscillation (MJO). Our result shows that S2S precipitation forecast from MME of CFSv2, CanCM4 and GEOS5 models are sufficiently accurate and reliable during the boreal summer period for Central Sumatra, Southern Sumatra, Southern Kalimantan, Java, Southern Sulawesi, and Southern Papua regions, with a range of CRPS values between 4-16 mm/7 days and a ‘perfect’ reliability category. There is no notable distinction in the performance of S2S precipitation forecast between the active and inactive events of the Madden-Julian Oscillation (MJO). The difference in CRPS values between these two periods is only around 0.8-1.2 mm/7 days, and there is no difference in reliability categories across Indonesia as a whole, nor significant spatial pattern differences.

HYDRA: A Board Game for Disaster Risk Knowledge, Awareness and Preparedness on Hydrometeorological Hazards

The inclusion of DRR education in the curriculum has been part of the response of the government to the increasing threats of disasters in the Philippines. Yet it was found out that students are still mostly uncertain when a disaster occurs, more specifically on evacuation plans, hazards and disaster-prone areas . This study aimed to develop an instructional material to increase the knowledge, preparedness, and awareness towards hydrometeorological hazards of Grade 11 students in Caloocan City Science High School. The Hydrometeorological Disaster Risk Awareness board game (HYDRA), was first evaluated by seven DRRR experts and Science teachers using the DepEd LRMDS evaluation tool, before it was implemented to the Grade 11 students. Data were collected from 20 participants using a 20-item test questionnaire and a 16-item survey form. The results of the pretests and posttests have shown significant differences with large effect sizes, which implies that the game has significantly increased the students’ disaster risk knowledge (p 0.001; d = 1.5), preparedness (p 0.001; d = 1.92), and awareness (p 0.001; d = 1.96). The game also received an overall evaluation rating of 3.99 out of 4, which means that it met the criteria for an appropriate instructional material. These findings suggest that HYDRA can be used as an alternative educational tool in teaching DRRR.

Hydrometeorological Disaster Mitigation Through Rainfall Intensity Mapping Using IDF in Sumatera Island, Indonesia

Hydrometeorological Disaster Mitigation Through Rainfall Intensity Mapping Using IDF in Sumatera Island, Indonesia

Rainfall Forecasting Using an Adaptive Neuro-Fuzzy Inference System with a Grid Partitioning Approach to Mitigating Flood Disasters

Hydrometeorological disasters are one of the disasters that often occur in big cities like Semarang. Hydrometeorological disasters that often occur are floods caused by high-intensity rainfall in the area. Early mitigation needs to be done by knowing about future rain. Rainfall data in Semarang City fluctuates, so the Adaptive Neuro-Fuzzy Inference System (ANFIS) method approach is very appropriate. This research will use the Grid Partitioning (GP) approach to produce more accurate forecasting. The data used in this research is daily rainfall observation data from the Meteorology Climatology Geophysics Agency (BMKG). The membership functions used are Gaussian and Generalized Bell. The two membership functions will be compared based on the RMSE and MAPE values to get the best one. The data used in this research is daily rainfall data. Rainfall in Semarang City every month experiences anomalies, which can result in flood disasters. The ANFIS-GP method with a Gaussian membership function is the best, with an RMSE value of 0.0898 and a MAPE of 5.2911. Based on the forecast results for the next thirty days, a rainfall anomaly of 102.53 mm on the thirtieth day could cause a flood disaster.

On The Interannual Variability of Indonesian Monsoon Rainfall (IMR): A Literature Review of The Role of its External Forcing

The IMR variability is notorious for its hydrometeorological disasters. This paper examines recent studies on IMR and the main factors controlling its variability. The focus of this study is to investigate the impact of the atmosphere-ocean interaction that acts as the external forcing of IMR in the tropical Indian and Pacific Oceans. Specifically, the study will examine the influence of two climate phenomena, namely the El Nino Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) and their interdecadal changes associated Pacific Decadal Oscillation (PDO), on the IMR. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. Furthermore, data sets (such as rainfall, wind field, and SST) spanning 1990-2020 were used to verify the key findings. In general, this study concludes that the majority of the authors coincided with the following conclusion: ENSO and IOD events impact IMR by changing its amplitude, duration, intensity, and frequency of mean and extreme rainfall. Additionally, it has been shown that their impacts on IMR are most substantial during the dry seasons, specifically in June, July, and August (JJA), and not as strong as during the wet seasons, specifically in December, January, and February (DJF). Spatially, the effects of ENSO and IOD on IMR variability are clearly found more eastward and westward of the region, respectively. The expansions towards the east and west directions were facilitated by the displacement of the ascending and descending of Walker circulation patterns in the Indonesian region, respectively. Given the interannual fluctuations in IMR, caused mainly by ocean-atmosphere interactions, the knowledge gap of atmospheric factors like the Quasi-Biennial Oscillation (QBO) must be investigated in the future, as suggested by previous research and our preliminary study.

Investigation of the discharge performance in infiltration wells based on several soil subgrade models

Heavy precipitation would result in hydrometeorological disasters such as landslides and floods. In general, disasters cause hazardous situations and property loss. Infiltration wells are water and soil conservation techniques that can reduce surface runoff and increase infiltration to mitigate the effects of hydrometeorological disasters. However, evaluations of geotechnical properties have not yet jointly or actively considered these environmental developments. This paper aims to analyse the wide range of soil types against several diameters and depths of the holes. The variation in soil varied from type 1 to 6, containing different properties and consistencies. The holes diameter used are 0.4m, 0.5m, 0.6m, 0.7m, and 0.8m, associated with several depths; 0.5m, 0.75m, 1m, 1.25, and 1.5m. The analysis was conducted with Geostudio SEEP-W in different model variations to obtain the well’s discharge value. The result shows that all the depth depicts similar behaviour of the discharge well. The sand model has the highest value of all categories, with the second place being the sand-clay layer model. In contrast, the clay simulation generates the lowest value of this research. This output offers a strong recommendation between infiltration well structure and soil parameters, which show sand is the most required property to increase the performance of hole infiltration.

Preface

Disaster Research Center Universitas Sebelas Maret successfully held the 2nd International Conference on Disaster Management and Climate Change 2023 (ICoDMC 2023) via the online Zoom system on August 12 2023. ICoDMC 2023 aims to disseminate research results and various ideas regarding controlling environmental damage and disaster management for a better life and provide input to the government and other policy-making institutions in the environment and disaster management field. The theme for 2023 is Climate Changes and Hydrometeorological Disaster Mitigation.ICoDMC 2023 invites great speakers who are highly competent in natural disasters and disaster environments, and they are Prof. Ir. Dwikorita Karnawati, M.Sc. PhD (Head of the Meteorology, Climatology and Geophysics Agency), Prof. Christopher Andre Gomez (Department of Maritime Sciences, Kobe University, Japan), Ahmad Marzuki, S.Sc. Ph.D (Sebelas Maret University, Indonesia), Prof. Dr. Martin Coy (Institut Für Geographie, Universität Innsbruck, Austria), and Dr. Annisa Triyanti (Utrecht University, Netherlands).The topic of this seminar is Climate Changes and Ecology, Disaster Mitigation, Disaster Risk Reduction, Environmental Risk Assessment Infrastructure for Disaster, Natural Resources, Natural and Non-Natural Disaster, Oceanography and Coastal Problems, Water and Hydrology, and Spatial Planning for Disaster. There were 198 articles submitted according to the topic above, and after selection, selected 135 articles were presented and submitted to the IOP-EES Proceedings. The article’s authors include lecturers, practitioners, teachers, and students. Two hundred twenty-six participants joined the seminar.Thank you to all speakers, authors and participants. See you at the third ICoDMC.RegardsProf. Dr. Chatarina Muryani, M.SiChairman of the committee Committee 2nd International Conference on Disaster Management and Climate Changes (ICoDMC 2023) List of Steering Committee, Conference Chair, Conference Vice Chair, Secretary, Editor are available in this pdf.

Flood mitigation with the support of demographic bonuses in Indonesia

Floods during the rainy season are still a polemic for Indonesia because disaster create various losses and fatalities. Although, drainage development, green environment and outreach have been implemented. However, public awareness of waste that block the flow of water needs to be evaluated. Therefore, the bibliometric analysis then using Vos Viewer software to discuss relevant research topics. The aim is to provide the management of hydrometeorological disaster mitigation. Therefore, the literature review in this article then discusses various flood threats, efforts by several regions to overcome them, human resources and character of education. The results of the discussion show that flood control requires with collaboration. For this purpose, the demographic bonus in Indonesia needs to be used to optimize public participation. Moreover, recommendation from the research is that any schools to hold group teens go clean activities as mutual cooperation learning. Policy alternatives to build some intrinsic motivation and extrinsic motivation for each individual in creating a flood free area in their environment.

Design of the Bali Province Food Security Action Plan towards Food Independence

The problem of hunger is one of the problems that still occur in Indonesia. The problem of hunger is closely related to the problem of staple foods, such as the unmet security of staple food, rice as the community's main food, and the increasing demand for staple foods. This research aims to analyze the challenges faced by Bali Province in maintaining sustainable food security and to design food security action designs in Bali Province towards food independence. The data used in this research are primary data and secondary data with a descriptive analysis method using ISM analysis. The results of the research show that food challenges that occur in Bali Province include reduced agricultural land, unbalanced supply and demand for food commodities, weak use and mastery of technology, lack of farming management and product marketing, the proportion of crop loss and food waste is still quite high, food loss due to inaccuracy in handling food, the area of agricultural land per capita is very limited, the number of young people interested in working in the agricultural sector is still problematic, the age of farmers over 45 years reaches 64.2%, Indonesia is also still facing three times the burden of nutrition, climate change, and hydrometeorological disasters. The Bali Province's food security design towards food independence consists of farmers, government, companies, financial institutions, and agricultural cooperatives who are interconnected with each other.

Predictive Mapping of Hydrometeorological Disaster Prone Areas in Central Kalimantan

Disaster is an event or a series of events that threatens and disrupts people's lives and livelihoods, caused by natural and/or non-natural factors and human factors, resulting in human casualties, environmental damage, property losses, and psychological impacts. Hydrometeorological disasters are events related to water, atmosphere, and oceans. It is recorded that hydrometeorological disasters occurring in Indonesia reach 86%, including floods, tornadoes, landslides, forest and land fires, and droughts. Specifically, in Central Kalimantan Province, forest and land fires and floods are frequent disasters. Both fall into the category of hydrometeorological disasters, closely related to the climate in Central Kalimantan. In this study, the prediction of rainfall, temperature, and humidity values in Central Kalimantan Province was calculated using the Auto-Regressive Integrated Moving Average method at 5 stations in the province. Subsequently, the prediction analysis of flood events was carried out using the machine learning random forest method based on the rainfall data, temperature, humidity, and event data. According to the calculation results, flood disasters are not predicted to affect almost all areas of Central Kalimantan Province. However, by the end of 2023, it is anticipated that most areas in the province will still be categorized as experiencing a normal level of drought. Notably, there are two areas that must increase awareness of this drought disaster, namely Pulang Pisau and Sampit, especially in October 2023.

Rapid urban expansion and potential disaster risk on the Qinghai-Tibetan Plateau in the 21st century

ContextCities are still expanding in many parts of the world in the 21st century, especially in developing regions, where socioeconomic transition has triggered urbanization. The Qinghai-Tibetan Plateau, characterized by its high elevation, developing economy, and fragile environment, has undergone rapid urbanization in the past twenty years, potentially heightening the region’s risk of geological and hydrometeorological disasters.ObjectivesThis article examines the process of urbanization on the Qinghai-Tibetan Plateau in order to better understand the relationship between urban expansion and population change and to explore whether geological and hydrometeorological disasters threaten urban expansion.MethodsWe created a high-resolution urban built-up boundary dataset from 2000 to 2020 based on remote sensing and GIS. By examining the spatio-temporal pattern of urban expansion and its population dynamics from 2000 to 2020 in 15 cities across the Qinghai-Tibetan Plateau, we quantified the urban expansion characteristics and explored the rising geological and hydrometeorological disaster risks urban areas face.ResultsThe Qinghai-Tibetan Plateau has experienced rapid and uneven urbanization in the past 20 years. The total expansion rate was over 252% – 1.48 and 2.81 times higher than that of China and the world, respectively. Urban expansion exceeded population growth in most cities throughout the whole period. The urban built-up areas and population of the Qinghai-Tibetan Plateau tended to concentrate in the Yellow River-Huangshui River Valley of Qinghai Province and the Yarlung Zangbo River and its two tributaries of Tibet. High-density urban built-up areas and population distribution were exposed to geological and hydrometeorological disasters. The urban boundary dataset produced in this study has better accuracy than the other five existing datasets, for the given area and time range.ConclusionsThis study will not only provide a scientific reference for urban development research and future urban planning on the Qinghai-Tibetan Plateau at the regional scale, but will also contribute to research on the urbanization process of the plateau and mountainous regions on a global scale, raising awareness of geological and hydrometeorological disaster risk prevention in these areas worldwide

Estimating the Flood, Landslide, and Heavy Rainfall Susceptibility of Vaccine Transportation after 2021 Flooding in South Kalimantan Province, Indonesia

Vaccine accessibility and availability has been shown to be one of the key factors to ensure rapid responses to the COVID-19 pandemic. Increased vaccine coverage is, however, dependent on vaccine supply and transportation, in particular ensuring that road networks have as minimal disruption as possible. In Indonesia, the most common and imminent threats affecting transport flows are due to frequent disasters such as floods, landslides, and high rainfall. This research is novel because it fills in the gap between health and disaster studies in COVID-19-related studies published since 2021. This study presents an analysis of susceptibility of various hydro-meteorological disasters on the trans-provincial roads that span over 856.014 km and cover an area of 38,744.23 km2 over 13 districts in South Kalimantan Province, Indonesia. The floods that occurred in January and November 2021 inundated an area of around 4000 km2 (10 percent of the total study area) that spans along 13 sub-provincial/district areas. Data collected are analyzed using the geographical information system (GIS) to quantify and classify the impacts in the 13 districts, utilizing different indicators such as topography, road conditions and characteristics, amount of rainfall, and types of disasters that occurred (floods and landslides). The results show that the trans-provincial road, which is also the only road available for transporting vaccines in the South Kalimantan Province, was highly susceptible to various hydro-meteorological disasters. Around 20 percent of the total road length was disrupted by the floods, close to 4% of the road section passes through mountainous areas that make it susceptible to landslides, and about 13% to 23% of the road section is vulnerable to slip risks due to the extreme rainfall. The results presented here demand an overarching solution involving multiple stakeholders from public works and local disaster management offices in terms of disaster mitigation and preparedness strategies, and environmental protection in terms of disaster risk reduction implementation. This research contributes to the health sector particularly through future preparedness to pandemics and wider vaccine distribution and coverage through the identification and mapping of sections of roads impacted by multiple disasters.

Upaya Pengelolaan Lingkungan Akibat Bencana Banjir di Kecamatan Empang, Kabupaten Sumbawa

Indonesia is a country that is prone to natural disasters from a geological perspective. Based on information from the Head of the Information Data Center and Public Relations of the National Disaster Management Agency, natural disaster trends have increased by 350% in the last three decades. A significant increase is hydrometeorological disasters which are influenced by weather aspects, such as floods, landslides, tornadoes, and droughts. Sumbawa Regency is one of the areas in Indonesia that is being hit by an increasing trend of natural disasters. The most recent natural disaster that hit one of the Sumbawa Regency areas was the flood disaster in Empang District. The cause of flooding itself can occur due to various things both natural and human. Floods can be caused by natural events such as rainfall over a long period of time, soil flooding leaving only rocks, and no water absorption. Therefore it is essential to analyze the flood disaster that occurred in Empang District so that a good environmental management strategy can be carried out. The management carried out is to restore environmental functions that have been lost due to damage caused by the disaster. Installing drainage and implementing the Internet of Things in overcoming flooding is considered to be quite effective. The relocation and reclamation activities of corn plantation areas carried out by bioremediation and revegetation processes can improve land conditions.

Improving Convective Cloud Classification with Deep Learning: The CC-Unet Model

Analyzing and mitigating natural disasters can be a challenging task, which is why the field of computer science, specifically artificial intelligence (AI) is necessary to aid in the complexity of disaster management. AI provides the tools and analytical models to help solve the intricacies of handling natural disasters. Convective clouds, closely related to rain and can lead to large-scale, prolonged hydrometeorological disasters, are a crucial component to consider. To improve the classification of these clouds, a predictive-analytical model based on deep learning, called the CC-Unet model, was developed. This model utilizes a U-Net architecture and is trained using a dataset of convective cloud images. The researchers used satellite image data from the Himawari 8 satellite collected in May and October 2021. The images were pre-processed and verified using observational data. The model was tested using a random train-test split method, showing that the CC-Unet model had a higher accuracy of 97.29% compared to the U-Net model, which had an accuracy of 94.17%. Additionally, the significance test using the Wilcoxon method showed that the CC-Unet model had significantly different performance results from the U-Net model. The ground truth image was also compared with the predicted image, showing a low root mean square error value of 0.0218, indicating a high level of similarity between the two. Overall, this research demonstrates the potential of AI and deep learning in classifying convective clouds to aid in natural disaster management.

Hydrometeorological Disaster: Challenges and Mitigation in Indonesia

Climate change, which includes increasing global temperatures, irregular rainfall patterns, and extreme changes in weather, has resulted in detrimental consequences for society and the economy, especially concerning an increase in hydrometeorological disasters. Indonesia is prone to natural disasters, primarily related to hydrometeorological events such as floods, landslides, and droughts. Hydrometeorological disasters can cause enormous economic and social losses; therefore, it is vital to holistically address climate change's social and economic impacts. This study aims to analyse trends in hydrometeorological disasters, especially in disaster-prone areas, so that the affected areas know comprehensive mitigation efforts to overcome them. The research methodology uses qualitative methods with descriptive analysis of hydrometeorological disasters in West Java and DKI Jakarta. The study results show that the trend of hydrometeorological disasters in West Java and DKI Jakarta Provinces tends to increase yearly. Several factors, including climate change, uncontrolled development, increasing population, topography and geographical location, and land subsidence, cause the latest disasters. The Indonesian government is actively trying to mitigate the risk of hydrometeorological disasters but is still experiencing some challenges, including topography and geographic location, climate change, limited resources, and low public awareness. Pentahelix collaboration and comprehensive public education are ways of overcoming these disasters. The Pentahelix collaboration allows for synergy between government, industry, and academia in identifying risks, formulating policies, and implementing mitigation programs.

Urban green space optimization in Sorong City of Southwest Papua Province based on environmental carrying capacity and environmental capacity

Immediate action is required to optimize the urban green open spaces in Sorong City to meet the obligation of increasing the baseline from 8.21% to 32.96%. The process will involve several stakeholders, including the Regional Government of Sorong City and Southwest Papua Province, Vertical Institutions, University of Papua, Development Partners, Indigenous Peoples, Media, and Private Parties. Upon evaluating the starting conditions in Sorong City, it is observed that the Environmental Quality Index (EQI) value stands at 58.96, indicating a sufficient category. This is mainly attributed to the detrimental impact of river water pollution (Water Quality Index, WQI) and the diminished coverage (Forest Cover Index, FCI) resulting from various commercial activities in metropolitan areas. Given the escalating climate change and the rise in hydrometeorological disasters, particularly heavy rainfall, erosion, and landslides, Sorong City must maximize the utilization of open green spaces (GOS). By improving the GOS, it was found that the Sorong Green Index (SGI) value was 94.77 in the outstanding category. In addition, utilizing the POAC approach for management analysis, it is imperative to promptly take necessary measures for various functions that are now inactive. The parties are expected to fulfill the task of job tagging and budget tagging to establish regional action plans.

Disaster-risk, climate change challenges and strategies in small islands in Bird’s Head Papua

A Disaster Risk Index analysis has never been conducted on small islands in Indonesia, particularly in the Bird's Head region of Papua, which includes 4,110 small islands that are now vulnerable and have become hotspots for climate change and hydrometeorological disasters. This study explores disaster risk indices, future climate change challenges, and Disaster Risk Reduction plans and policies at the site level on the small island of Bird's Head in Papua. Disaster risk index analysis includes threat, vulnerability, and capacity indexes. Climate change scenarios are derived from CMIP, using scenarios SSP2-4.5 and SSP5-8.5. Strategy and policy are based on the National Disaster Management Agency's seven priorities. Field measurements demonstrate that the Disaster Risk Index ranges from 0.73 to 0.82, including the high index class category, which is also directly related to the Hazard Index and Vulnerability Index and inversely proportional to the Capacity Index. Extreme rainfall estimates in the SSP2-4.5 and SSP5-8.5 scenarios result in a 10% and 20% increase in rainfall in the Papua Birds Head region, respectively. The assessment of the seven priorities for tiny islands ranges from 0.2 to 0.37 in the low category. As a result, it is critical for stakeholders, particularly local communities and traditional and village officials, to actively participate in developing DRR strategies and policy ideas for small islands.

Impact-based flood forecasting in the Greater Horn of Africa

Abstract. Every year Africa is hit by extreme floods which, combined with high levels of vulnerability and increasing population exposure, often result in humanitarian crises and population displacement. Impact-based forecasting and early warning for natural hazards is recognized as a step forward in disaster risk reduction, thanks to its focus on people, livelihoods, and assets at risk. Yet, the majority of the African population is not covered by any sort of early warning system. This article describes the setup and the methodological approach of Flood-PROOFS East Africa, an impact-based riverine flood forecasting and early warning system for the Greater Horn of Africa (GHA), with a forecast range of 5 d. The system is based on a modeling cascade relying on distributed hydrological simulations forced by ensemble weather forecasts, link to inundation maps for specific return period, and application of a risk assessment framework to estimate population and assets exposed to upcoming floods. The system is operational and supports the African Union Commission and the Disaster Operation Center of the Intergovernmental Authority on Development (IGAD) in the daily monitoring and early warning from hydro-meteorological disasters in eastern Africa. Results show a first evaluation of the hydrological reanalysis at 78 river gauging stations and a semi-quantitative assessment of the impact forecasts for the catastrophic floods in Sudan and in the Nile River basin in summer 2020. More extensive quantitative evaluation of the system performance is envisaged to provide its users with information on the model reliability in forecasting extreme events and their impacts.

Strategies for Strengthening Ecological Citizenship in the Sendi Indigenous People of Mojokerto Regency

Environmental degradation is currently causing many hydrometeorological disasters. Ecological Citizenship as part of the concept of civic education has the aim of forming smart citizens with environmental character. This study analyzes the form of strategies to strengthen ecological citizenship in Sendi indigenous peoples of Mojokerto Regency along with the obstacles and challenges they face in strengthening environmental awareness based on local wisdom. The study uses qualitative research methods with a case study design. Data were collected through direct observation in the environment where the joint indigenous community lives, interviews with kasepuhan, pamengku adat, and members of the Sendi indigenous people, and documentation. Data were analyzed using interactive data analysis methods. It was found that the Sendi indigenous people have a strategy to strengthen Ecological Citizenship based on local wisdom, namely sengkalaning sendi, which regulates relationships with nature and the environment, in collaboration with various stakeholders and NGOs such as Walhi and PPLH. The obstacles encountered by the Sendi indigenous people are mainly internal and external factors.
 Keywords: ecological citizenship, Sendi indigenous people