Evaluation of the predictive reliability of a new watershed health assessment method using the SWAT model

Jabbar, Fadhil K.; Grote, Katherine

doi:10.1007/s10661-020-8182-9

Cited by 18 publications

(9 citation statements)

References 74 publications

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“…This study aims to assess watershed health (WH) and its changes between 2009-2018 based on hydrology and land cover of the upper Citarum watershed in West Java. The scoring method for this study was conducted using the analytical hierarchy process (AHP) [15] as one of the multicriteria decision-making methods.…”

Section: Introductionmentioning

confidence: 99%

Health assessment of The Upper Citarum Watershed, West Java, Indonesia

Sapan¹,

Riandasenya²,

Yulianingsani³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Citarum watershed is one of the national priority watersheds. Watershed health assessment activities are used as a reference in efforts to restore watershed conditions and improve watershed management planning. The watershed health was assessed for the Upper Citarum watershed in West Java, Indonesia. Three indicators, including hydrology and land cover were used to assess the watershed health. Hydrology indicators include the Annual Flow Coefficient (KAT) and River Regime Coefficient (KRA). Watershed health level assessment was conducted using Analytical Hierarchy Process (AHP) scoring method. Watershed health levels such as very unhealthy, unhealthy, moderately unhealthy, healthy, and very healthy were obtained by calculating each indicator total number of scores. From the health assessment result of The Upper Citarum watershed, the Annual Flow Coefficient indicator shows an unhealthy level, and River Regime Coefficient indicator shows very unhealthy level. In addition, the land cover indicator shows unhealthy level. Thus, because of a decreased vegetation cover over ten years. Based on the AHP weighting, it was found that The Upper Citarum watershed is at a very unhealthy level. Therefore, according to government regulations about proper watershed management, land cover vegetation must be managed to increase conservation and water quantity to maintain the Citarum watershed’s sustainability.

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Section: Introductionmentioning

confidence: 99%

Health assessment of The Upper Citarum Watershed, West Java, Indonesia

Sapan¹,

Riandasenya²,

Yulianingsani³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…As 50% of the plant roots are distributed within the 200 mm beneath the ground (Fan et al, 2016), shallow soil moisture is also critical for plant growth and agricultural production (Rossato et al, 2017). Moreover, the prompt response of shallow soil moisture in the unsaturated zone to climatic variations and land surface conditions (Jabbar and Grote, 2020) is a key factor to detect slope instability useful for developing early warning signals for landslide-prone regions (Lu and Godt, 2008). Under serious concerns about climate change, multi-dimensional projections of the tendency and frequency of extremes in temperature and precipitations (IPCC, 2014;Deshmukh and Singh, 2016) all demonstrate higher risks of storm-induced soil erosions or landslides (Brocca et al, 2007;Strobbia and Cassiani, 2007;Zhou et al, 2021) and drought-related issues.…”

Section: Introductionmentioning

confidence: 99%

Modeling shallow soil moisture dynamics in mountainous landslide active regions

Dai

Cheng²

2022

Front. Environ. Sci.

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Under the worsening climate change, the mountainous landslide active regions are more likely to suffer severe disasters threatening residents. To predict the occurrence of landslides, shallow soil moisture lying in the interface of the hydrological processes has been found as one of the critical factors. However, shallow soil moisture data are often scarce in the landslide active regions. To overcome the severe measurement deficiencies and provide predictions of soil moisture dynamics, we construct a physically-based shallow soil moisture model based on the assumptions of ideal flow, homogeneous and isotropic soil textures, and 1-dimensional water movement dominant by gravity forces. In the model, the meteorological conditions and the physical soil properties are taken into consideration. With limited field measurements, the model can provide reasonably accurate soil moisture predictions. In recognition of the seasonal weather characteristics, we perform a series of sensitivity analyses to examine the response of shallow soil moisture and relate the hydrological processes to air temperature, precipitation intensity, duration, and combinations thereof. Complex interactions of hydrological processes are found with variations in precipitation and air temperature, depending on the interlinked boundary conditions of the soil and water. It demonstrates a strong need for a decent forecast of the complex shallow soil moisture dynamics and the associated hydrologic processes in mountain regions to cope with climate change for landslide preparation and agricultural adaptation in the future.

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“…Hydrologists and ecologists looking to advance sustainable practices, the evaluation of watersheds in the context of human and ecological health is a topic of great interest (Hoque et al, 2012). Climate, soils, hydrology, geomorphology, land use, and land cover (LULC) are some of the factors that have an impact on the health of watersheds (Jabbar et al, 2020). Healthy watersheds play a key role in providing habitat for wildlife, clean water for healthy aquatic ecosystems, safe drinking water (Alilou et al, 2019), and contributing to sustainable development (Sophocleous & Mario, 2000).…”

Section: Introductionmentioning

confidence: 99%

Watershed Health Assessment Using GIS and AHP Methods: Application in Stung Sen River Basin, Cambodia

Ka,

Sok,

Lim

et al. 2022

Indonesian. J. Limnol.

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The watershed assessment provides information about the condition of water quality and biological integrity to identify the source of stressors and their impacts. In the present decades, different watershed assessment method has been established to evaluate the cumulative impacts of human activities on watershed health and aquatic systems. This study proposes a new approach for assessing watershed vulnerability to contamination based on spatial analysis using the Geographic Information System (GIS). and Analytic Hierarchy Process (AHP) methods. This new procedure designed to identify vulnerable zones depends on seven basic factors representing watershed characteristics: land use/land cover, sediment load, nitrate load, phosphorus load, soil type, average annual precipitation, and slope. The new watershed vulnerability assessment technique was used to create a map showing the relative vulnerabilities of specific sub-watersheds in the Sen River Basin, the largest sub-basin of the Tonle Sap Lake. The results showed a remarkable difference in watershed susceptibility between the sub-watersheds in their vulnerability to pollution. The approximate area of 10,846 km2 (76%) in the Northwest part and the long distance from the river of the study area were categorized in a range from moderate, low, and very low watershed vulnerability. However, consisting 3,341 km2 (24%) located downstream and near distance from the river were displayed as a very high and high vulnerability to pollution in the watershed. Furthermore, the results of the evaluation of the predictive reliability of the watershed vulnerability assessment method revealed that the proposed approach is suitable as a decision-making tool to predict watershed health. The process of this study indeed provides an application performance for the Sen River Basin and calls for action to sustain the water ecosystem and use.

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Evaluation of the predictive reliability of a new watershed health assessment method using the SWAT model

Cited by 18 publications

References 74 publications

Health assessment of The Upper Citarum Watershed, West Java, Indonesia

Health assessment of The Upper Citarum Watershed, West Java, Indonesia

Modeling shallow soil moisture dynamics in mountainous landslide active regions

Watershed Health Assessment Using GIS and AHP Methods: Application in Stung Sen River Basin, Cambodia

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