The Oti River is about 520 km long, 150 m above sea level and is part of the Volta basin system in West Africa which covers part of the northern, volta and the Oti region of Ghana, as shown in Figure 1 , and is subject to frequent flooding and highly exposed regions with poverty levels [6] .

In addition to its socio-economic activities, the Oti River basin in northern Ghana continues to play significant responsibilities for its hydrological system and ecological structures. Since it provides water, agricultural resources, fishing grounds and transit routes, the Oti River plays a crucial economic role for the local population. The Oti River Basin faces significant challenges in managing floods, which are made worse by climate change, shifting land uses and inadequate infrastructure.

The Oti River basin has historically relied on physical water control techniques, including drainage systems, levees, and dams [7] . Although these techniques have brought some localized alleviation, however they have a number of drawbacks such as ecological Disruption. While destroying natural ecosystems and upsetting ecosystem processes, fundamental infrastructure solutions also reduce biodiversity. Basic wetlands that serve as flood defense systems were destroyed by levee construction techniques that were hardly viable [8] . Another set of drawbacks is unsustainability. Due to high construction and maintenance costs, many flood control methods are still not viable for long-term usage, especially in places with limited resources. Limited Predictive Accuracy for conventional prediction algorithms provide erroneous risk estimates because they are unable to take into consideration local climate variables and shifting land uses. Social Exclusion like insufficient implementation success results from top-down governance arrangements that disregard local community goals and skills. By combining these three essential elements mentioned, the Socio-Ecological Collaborative Flood Control Model (SEFC) provides a revolutionary strategy for instance, TEK. Prior to floods, local populations had a thorough understanding of environmental indicators such as changes in animal behavior and patterns of plant development. Researchers can create accurate flood warning systems tailored to a community using know-ledge based on TEK [9] . Additionally, Advanced Hydrological Modelling according to [10] , dynamic flood predictions are generated by the modelling solutions HEC-RAS (Hydrologic Engineering Center’s River Analysis System) and SWAT (Soil and Water Assessment Tool). Flood coverage projections and strength estimates are produced by the predictive models by analyzing precipitation in conjunction with land use trends and river form. Collaborative governance under the SEFC model, local community stakeholders, government organizations and non-governmental organizations work together to oversee disaster response efforts [11] . This collaborative approach creates flood management strategies that are equitable and culturally suitable while also being attentive to particular settings.

The Southern lowland plains, northern highlands and eastern highlands are among the several geographical settings found in the Oti River basin [12] . This basin has a number of wetlands that serve as flood control areas, protect wildlife and plant populations, and provide food security. The topographical characteristics of the basin have a direct impact on its flood patterns. Before heading south, the Oti River flows down from its source in Ghana’s northern highlands [13] . The Oti River regulates its flow by combining floods from neighboring flood-prone regions with precipitation-driven highland water runoff. When these elements come together at lower elevations, like Dambai and Nkwanta, floodwaters quickly accumulate during rainy seasons.

According to monthly river observations, seasonal rainfall patterns lead the Oti River to discharge at its maximum from May to October [14] . Flooding occurs during this period due to heavy monsoon rainfall. The river exhibits significant fluctuations between flood seasons, with discharge measurements reaching 10000 m³/s at peak occurrences and falling below 500 m³/s during typical dry seasons. Unpredictable flooding situations are created by water volume variations with steep slopes, especially when there are changes in land use and rainy weather upstream.

Runoff governs how the Oti River basin works and how often it floods. High rainfall rates and significant soil erosive processes increase water stream flow in areas with inadequate plant cover that deforest or become overused farmed fields [14] . The water’s rushed flow exacerbates the flood conditions downstream. Equation 1 serves as the expression model for the Oti River runoff computation.

$R=P-\left(I+E+D\right)$ (1)

Where: R is the total runoff, P is precipitation, I is the infiltration, E is evaporation, D is deep percolation. The relationship between rainfall and the amount of land that allows water to remain or flow away is shown by equation 1. Clear-cutting forests or poorly managed land increases the risk of floods and puts air and water supplies at risk indicate the rainy season in August and September coincides with the Oti River’s maximum flows. The analysis of the 2005-2020 timeframe shows that changes in land use have increased runoff levels of which September has the highest peak as shown in Figure 5 .

Since heavy rain events are occurring more frequently outside of the usual rainy season months, research indicates that the rainfall intensity in the Oti River basin is trending rising. Changes in monsoon patterns and climate fluctuations are blamed by scientists for the threefold increase in flash floods during the last 20 years. Since operable warning systems require time to activate, flash floods rapidly

rising waters create catastrophic tracks over impacted communities. Table 1 as highlighted [15] displays a persistent rise in the frequency of rainfall accompanied with an increase in the patterns of flood occurrence as (0-been the lowest and 10-been the highest). An integrated flood control strategy that successfully considers the relationship between precipitation patterns, soil retention capacity and hydrological functioning is necessary when precipitation levels rise.

As agricultural fields are developed, they merge with urban building zones and forests are cleared, increasing the Oti River basin’s susceptibility to flooding. Important elements consist of deforestation and soil degradation. Between 1987 and 2022, the Oti River watershed saw almost 40% of the forest loss [16] . Deforestation reduces the land’s natural capacity to absorb water, which raises surface runoff and causes soil erosion and river sedimentation, all of which increase the risk of flooding as shown in Table 2 . Furthermore, agricultural practices from local farmers frequently grow crops in flood-prone locations, and the Oti River watershed is home to a large number of small family farms. Floodplains are used by rice growers to develop the land, however excessive precipitation creates waste and shortages in these areas. Agricultural losses occur when outside-season floods engulf the typical farming regions.

In addition to the process of urbanization over the past few years, the private sectors’ operation in the cities of Nkwanta and Dambai, for instance, have expanded rapidly. Roads and buildings are among the many impermeable construction features created by urban expansion, which raise runoff levels and reduce the land’s ability to absorb water. When extreme rainfall conditions strike, metropolitan areas experience floods due to the deficiencies in drainage systems.

The following formula is used to forecast surface runoff in cities:

$Q=C\cdot I\cdot A$ (2)

Where: Q is the runoff volume, C is the runoff coefficient (based on land use type), I is the intensity of rainfall (mm/hr), A is the area in square meters.

The high concentration of impermeable surfaces in urban areas causes a rise in the runoff coefficient C, which exacerbates flooding in those places. In the Oti River basin, this mathematical formulation is crucial for controlling urban floods.

The Oti River basin’s susceptibility to flooding causes notable shifts in its socioeconomic dynamics as shown in Table 3 . Every time there is flooding, the main economic sectors of the area farming, fishing and local commerce, face immediate repercussions. Floods that occur inside the basin’s borders have a major negative economic impact, with agricultural output being the most severely impacted. Due to $15 million in crop loss in 2020, communities hit by the floods faced acute food shortages [17] . Moreover, due to their lack of resources to mitigate floods occurrence and get insurance cover during periods of intense rainfall, small farm holders are more vulnerable. Flood incidents create differential impacts that affect vulnerable population. Women take the primary responsibility for water retrieval and food safety because they face higher health dangers and displacement risks when floods occur. Thousands of waterborne diseases spread after flood events to inflict among children and therefore lower their health status [18] . Due to changes in land use and socioeconomic conditions, as well as increased flood risk brought on by climate change, the Oti River basin sustains a complex socio-ecological system. There are more instances of severe flooding as a result of the way climatic variability alters rainfall and river discharge patterns. Rapid urbanization and a lack of productive farming practices have increased the basin’s flood danger. Understanding these ecological and social facets of flood management systems is essential to the creation of integrated flood control models such as SEFC.

The Socio-Ecological Collaborative Flood Management Model (SEFC) acts as a novel unified strategy for flood management beyond usual engineering-focused frameworks [9] . In order to create sustainable flood management systems, SEFC prioritizes an alternative method of flood control by fusing ecological knowledge with societal needs and technical resources. SEFC shows particular qualities to enable efficient implementation within the study area whose flood-prone status needs a unified strategy to deal with environmental interactions including human impact, natural aspects and climatic dynamics.

The foundation of SEFC, which aims to comprehend ecosystems and human societies as interconnected, holistic systems and socio-ecological systems. There are three (3) main dimensions underlie the model’s operation.

Ecological Resilience: The model recognizes the role that natural ecosystems play in lowering the danger of flooding. By integrating flood protection features into vital ecosystems, which aid in restoring damaged ecological regions and serving as buffer zones during intense hydrological events, natural systems preserve resilience.

Social Capital: By using collaborative governance techniques, local communities and stakeholder networks have the ability to create and implement flood management plans. The concept of social capital, which emphasizes the value of social networks and community trust, is a crucial part of efficient flood management.

Technological Innovation: Flood response capabilities and preparedness readiness are enhanced by the use of real-time data monitoring and flood prediction models in conjunction with climate forecasting technology. The model can improve flood risk management with the help of contemporary hydrological models, GIS (Geographical Information Systems) and remote sensing technology [9] .

In SEFC’s flood management architecture, nature-based solutions constitute an important component. By supporting restoration efforts in addition to preservation initiatives for ecosystems that reduce flood risk, the model encourages natural flood mitigation [19] . These natural remedies have two advantages: Natural systems have two functions: they reduce the likelihood of flood damage and support the upkeep of ecosystem services. The following are the main ecological strategies incorporated within SEFC:

Restoration of Wetlands: Wetlands naturally function as floodplains during rainy seasons, absorbing and storing excess water. In the Oti River watershed, wetland habitats such as Kpando Wetlands are essential components of flood control. According to scientific research, restored wetlands can reduce flood peaks by 30%, preventing harm to downstream rivers [20] . The capacity of wetland flood storage is:

$F=A\cdot S\cdot R$ (3)

Where: F is the flood storage capacity (m³), A is the area of the wetland (ha), S is the soil storage capacity (m³/ha), R is the rainfall retention rate (m).

According to the mathematical statement, the reason flood danger is reduced is because wetland water storage becomes more robust as wetland area and retention capacity expand.

Forested Areas and Riparian Buffers: There is no replacement for the vital role that riparian forests along rivers play. These buffers not only prevent erosion but also serve as pollution filters and stabilize riverbank environments. According to studies by [21] riparian zones provide flood-resistant barriers by preserving ideal water flow and enhancing precipitation penetration into soil as shown in Figure 2 .

One of the most important tools for improving flood protection in the Oti River watershed is the restoration of natural ecosystems. Wetlands and riparian zones, which are examples of natural boundary formations, effectively lessen the power of floodwaters, improve water quality and provide vital benefits to natural systems.

When wetlands act as sponges to absorb surplus precipitation, they slow down water velocity and raise the peak flood height, reducing the danger of flooding. In addition to reducing flooding, restoring degraded wetland areas in the Oti River watershed will also improve water quality and provide chances for wildlife.

Steps to Take in Practice for Wetland Restoration:

i) Degraded wetland zones should be the primary focus of development planning as they offer the best chance to lessen floods and support the recovery of biodiversity.

ii) It is necessary to establish native vegetation, such as trees, sedges, and grasses, to improve soil structure and water retention.

iii) In order to regulate human activity in conserved areas, floodplain zoning serves as a regulatory framework for creating restoration zones while adhering to flood risk zoning regulations.

iv) Agroecological farming and sustainable fisheries will be implemented in the restoration zones as land use practices that align ecological stability with economic interests. Over a five-year period, investments in the Hadejia-Nguru wetlands through the construction of plant buffers and appropriate use of water resources reduced flood damage by around 40% [22] . To increase flood resilience in the Oti River Basin, the SEFC model ought to include comparable sustainable practices.

The following mathematical model is used to assess the efficacy of wetland restoration operations that capture floodwaters:

$V_f=A_w\times D_w\times P_w$ (4)

Where:

V_f: Floodwater retention volume (m³).

A_w: Restored wetland area (m²).

D_w: Depth of wetland water retention (m).

P_w: Porosity of wetland soil (unitless, typically 0.4 - 0.6).

To reduce the peak flood heights during rainy seasons, for example, the creation of 100 hectares of wetland in the Oti River basin would boost floodwater retention by 2 million cubic meters.

Because forests, grasslands and floodplain plant species serve as natural barriers that slow erosion and lengthen the time it takes for runoff to reach the river, the river system is able to withstand lower amounts of heavy rainfall.

Steps to Implement Vegetation Buffer Zones Practically as indicated in Table 4 :

i) In order to restore riparian ecosystems and mitigate floods, personnel should plant native plants in buffer zones that are 20 to 30 meters wide along the river-banks.

ii) Local farming groups must be encouraged to build agroforestry systems based on natural trees and plants along the riverbank margin. In addition to providing shady spaces, these buffer lands aid in protecting crops and provide extra revenue from the sale of non-timber products.

iii) In addition to community involvement workshops for upkeep, the plan calls for active monitoring to assess the health of the vegetation barrier and the effectiveness of flood control.

By focusing on community engagement in flood management activities mirroring success in the Philippines disaster management framework [10] , SEFC marks a significant advance. Through the combined representation of network connections, trust components, and community-established values, social capital exemplifies its crucial role in efficient flood control. Communities’ capacity for cooperative decision-making and strong social networks increases in direct proportion to their capacity to identify and manage flood hazards. Several strategies are included in the SEFC model to improve social capital as shown in Table 5 .

Local communities are well-versed in seasonal patterns and flood risk zones, making them informed about particular water risks. By actively partaking in participatory flood risk mapping, local residents may identify danger areas, create thorough catastrophe evacuation plans and erect defensive barriers that are appropriate for their neighborhood.

Through SEFC, a multi-stakeholder governance model is created in which private companies, non-governmental organizations (NGOs), and national and local government agencies share responsibility for flood control [23] . Hydrological response of Oti River to climate and land use land cover dynamics, Ghana (Doctoral dissertation, University of Cape Coast) [24] . This structure’s collaborative framework integrates various organizational viewpoints into flood management plans, resulting in long-term fixes. By creating localized flood control solutions, cross-sectoral flood management committees comprising farmers, urban planners, government officials and non-governmental organizations will improve decision-making capacities.

The Oti River Basin’s inhabitants have a wealth of traditional knowledge on local floods, weather forecasts and protective measures. Better management techniques that are accepted by the community result from the integration of scientific flood risk assessment methods with traditional local knowledge. When local traditional signals (such unique cloud patterns paired with particular animal behavior alerts) are integrated with modern weather forecasting, flood preparedness becomes more realistic and vulnerable populations are better equipped to defend themselves.

Current technical advancements are essential for enhancing flood management frameworks capacity to predict and respond to occurrences. In order to establish a dynamic data-based strategy, SEFC combines weather forecast tools, hydrological mathematical models, and real-time data collection to produce flood management solutions.

Two crucial flood forecasting models used by SEFC are SWAT (Soil and Water Assessment Tool) and HEC-RAS (Hydrologic Engineering Centers River Analysis System). In order to predict possible flood conditions, the modelling technique takes into account the impacts of rainfall, land use patterns and river flow patterns [7] . Using its algorithm, SWAT uses this model to forecast river flow.

$Q_t={\displaystyle \underset{i=1}{\overset{n}{\sum }}\left(P_i-E_i-I_i\right)}$ (5)

Where: Q_t is the river discharge at time t, P_i is precipitation, E_i is evapotranspiration, I_i is infiltration for each time step i.

In order to improve flood control readiness, operators can use this model to forecast river flow under various pavement conditions and rainfall scenarios. When remote sensing and GIS technologies are combined, data may be collected instantly via satellite imaging and drone surveillance, which monitors flood zones, land use change extents and river height. Modern technology makes it possible to evaluate disasters quickly and make decision-making quickly. Table 6 shows the 50-year flood hazard map simulated by the hydraulic model (LISFLOOD-FP). This result is used to estimate the severity of the possible flood hazard (H4). Using Internet of Things (IoT) sensors across the river network to monitor rainfall, soil moisture and water levels expedites flood warnings to communities. Residents can learn about rising water levels thanks to data for flood alerts provided by community radio networks and mobile applications. Authorities can identify trends of river discharge while promptly informing vulnerable areas by placing remote sensors in strategic locations along rivers.

The synergy of hydrological model (SWAT, HEC-RAS) and IoT sensors improved flood prediction accuracy by 25% compared to traditional methods. Software-defined radios technology (SDR) enables dynamic change of transmission settings on real-time GIS mapping identified high-risk zones, while mobile apps disseminated alerts to 90% of households is pilot areas0. River discharge predictions (Equation 4) accounted for land-use changes, aligning rainfall data (P_i) with infiltration rates (I_i) to model scenarios. However, gaps persisted in remote areas with limited internet access, underscoring the need for hybrid systems combining community radios and satellite data.

According to [25] , it is asserted adaptive flood control strategies are necessary for the SEFC model to be implemented while maintaining inclusion, the current policies must adjust how they react to shifting social, economic and environmental circumstances.

Zoning is an important technique in flood risk control as emphasize in Table 6 . In order to prevent development in floodplains, the SEFC model controls the use of land that is prone to flooding while promoting the restoration of ecosystems and sustainable living systems [6] .

Practical Zoning and Regulation Application Steps: Using satellite imagery and hydrological models, comprehensive floodplain maps should be created to identify dangerous locations so that land-use decisions may be made by administrators. Zoning laws must limit the construction of new structures and infrastructure in locations that are vulnerable to flooding. The implementation of flood-resistant construction methods or relocation should be rewarded for residents. In order to incorporate SEFC flood control concepts into their regional and national development programs, local governments must actively support them. During this process, flood resilience will be a key element of the region’s growth strategy.

Sustainable agriculture policies, including contour farming and drought-resistant crops, improved soil retention by 20%, mitigating runoff (Equation 2).

Steps to Implement Sustainable Agriculture in Practice:

i) Farmers should be encouraged to utilize no-till farming, contour farming, and crop variety since these techniques will reduce soil erosion and retain floods in the soil for longer.

ii) Programs for soil restoration should serve as the foundation for putting policies into place that improve the fertility of the soil in flood-prone regions and shield the land from erosion, which will improve the land’s capacity to absorb water during floods.

iii) Drought-resistant vegetation should be incorporated into wetland projects as part of a system that links flood control efforts with sustainable agriculture practices.

iv) Observation and Assessment

This is crucial to evaluating the efficacy of SEFC interventions since it confirms that these initiatives have a positive impact on socioeconomic and environmental outcomes. The review and monitoring framework that SEFC operates under includes the following steps:

i) Restoration success will be demonstrated by routine evaluations of three key indicators, such as wetland area changes, vegetation cover variations, and natural biodiversity assessments.

ii) Through the reduction of peak discharge and the improvement of flood retention capability, the hydrological study evaluates the effectiveness of Flood Risk Assessment as a predictor of SEFC solution success.

iii) The social impact monitoring system uses survey and interview techniques to measure community participation levels, livelihood changes, and resilience improvements. For the Oti River basin, the Socio-Ecological Collaborative Flood Control Model (SEFC) offers a number of sustainable and efficient flood protection strategies [26] . By combining ecosystem restoration, community engagement, and adaptive flood management policies, SEFC provides a solution that effectively lowers flood-related risks, supports biodiversity preservation, improves livelihood maintenance, and builds long-term community resilience. Through its implementation, SEFC shows how flood-prone regional areas may learn how to successfully integrate natural, human and government systems to save communities from devastating occurrences.

Figure 3 indicating a steady rise from 2000 to 2024, reflects the escalating costs of floods due to inadequate infrastructure and reactive management strategies, as highlighted in the SEFC study. Traditional engineering results, such as levees and dams, have interrupted natural ecosystems and unsuccessful to curb losses, requiring integrated approaches like SEFC.

Figure 4 indicate the data correlates with the SEFC findings on deforestation (40% forest loss since 1987) and unsustainable farming practices, which degrade soil retention and amplify runoff. reveal that data correlates with the SEFC report’s findings on deforestation (40% forest loss since 1987) and unsustainable farming practices, which degrade soil retention and amplify runoff.

The Annual Rainfall and Flood Events chart as highlighted in Figure 5 , showing rising rainfall intensity (1950 mm by 2024) and flood frequency with 10 catastrophic events in 2024, underscores climate-driven hydrological shifts that exacerbate flash floods. These trends validate the SEFC’s emphasis on nature-based solutions, such as wetland restoration and riparian buffers, to enhance floodwater retention and reduce peak discharge.