Empowering the Next Generation of Watershed Decision-Makers: A Pedagogical Design

Perry, Jim; Thompson, Louise

doi:10.3390/w11040662

Cited by 5 publications

(1 citation statement)

References 40 publications

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“…The main purpose of this study is to analyze the WC variables and prioritize the risks of land-use patterns in KLs, Khon Kaen Province, by utilizing a watershed delineation approach for tropical storm Podul. It is critical to better understand the capabilities of runoff generation [6] in order to comprehend the WC variables influencing the sub-watershed [26,27]. In order to be capable of utilizing the study results as a guideline, we must arrange and set an outline for policy aimed at preventing or lessening the damage from flash floods in affected areas.…”

Section: Introductionmentioning

confidence: 99%

Watershed Prioritization of Kaeng Lawa Sub-Watershed, Khon Kaen Province Using the Morphometric and Land-Use Analysis: A Case Study of Heavy Flooding Caused by Tropical Storm Podul

Waiyasusri

Chotpantarat

2020

Water

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During 29–31 September 2019, tropical storm Podul moved into the Kaeng Lawa sub-watershed (KLs), the upstream area of the Chi watershed, causing the worst flooding in 40 years. This study was carried out to analyze the watershed characteristic (WC) variables and prioritize the risks of land-use patterns in KLs, Khon Kaen Province, using a watershed delineation approach. As a result of this study, of the 11 sub-watersheds in the Kaeng Lawa watershed, only KL03 and KL04 were deemed medium priority within their drainage and storage capacity systems. KL01, in the upstream sub-watershed, displayed very low priority. The pattern of land-use that appeared most in KL01 sub-watershed was deforestation, where the upper forest area appeared to show a 63% decrease from 2002 to 2017. The decreased forest area was replaced with agricultural area, for crops such as sugarcane and para-rubber, and fruit farms. Moreover, increases in urban area expansion were found in the downstream area in the north of KLs. The findings of this study reveal that severe flooding in this area was caused not only by tropical storm Podul, but also by the low prioritization of watershed characteristics and patterns of land-use that resulted in decreasing forested area in this watershed area. Consequently, these factors have influenced watershed storage and caused an accumulation of water volume, which regularly results in floods. Thus, flood mitigation should be implemented urgently, in the very low priority areas of the study area first.

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Section: Introductionmentioning

confidence: 99%

Watershed Prioritization of Kaeng Lawa Sub-Watershed, Khon Kaen Province Using the Morphometric and Land-Use Analysis: A Case Study of Heavy Flooding Caused by Tropical Storm Podul

Waiyasusri

Chotpantarat

2020

Water

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A Geospatial Approach for the Development of Sustainable Watershed Management

Devi,

Kumar

2024

Advances in Geographic Information Science

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Evaluation of the costs of agricultural diffuse water pollution abatement in the context of Lithuania’s water protection goals and climate change

Plunge

Gudas

Povilaitis

et al. 2022

Environmental Management

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This study aimed at evaluating the scale and costs of an environmentally and economically optimal set of Best Management Practices (BMPs) for agricultural pollution abatement in Lithuania in order to reach water protection goals in both inland and marine waters by distributing BMPs optimally in space, while taking climate change impacts into consideration. The assessment of BMPs impact involved the use of the SWAT model by applying two climate change representative concentration pathways (RCP4.5 and RCP8.5) and two time horizons (mid-century and end-century), as well as five BMPs (arable land conversion to grasslands, reduced fertilization, no-till farming, catch-crops, and stubble fields throughout winter). The optimization of the set of BMPs employed a genetic algorithm. The results suggest that the need for BMPs application will increase from 52% of agricultural areas in the historical period up to 65% by the end of century in the RCP8.5 scenario. This means less arable land could actually be used for crop production in the future if water protection targets are met. The high costs for reaching water targets would rise even more, i.e. by 173% for RCP4.5, and by 220% for the RCP8.5 scenario, reaching approximately 200 million euros/year. In such a context, the BMP optimization approach is essential for significant reduction of the costs. Winter cover crops and reduced fertilization show the best effectiveness and cost balance, and will therefore be essential in pursuing water protection targets.

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Empowering the Next Generation of Watershed Decision-Makers: A Pedagogical Design

Cited by 5 publications

References 40 publications

Watershed Prioritization of Kaeng Lawa Sub-Watershed, Khon Kaen Province Using the Morphometric and Land-Use Analysis: A Case Study of Heavy Flooding Caused by Tropical Storm Podul

Watershed Prioritization of Kaeng Lawa Sub-Watershed, Khon Kaen Province Using the Morphometric and Land-Use Analysis: A Case Study of Heavy Flooding Caused by Tropical Storm Podul

A Geospatial Approach for the Development of Sustainable Watershed Management

Evaluation of the costs of agricultural diffuse water pollution abatement in the context of Lithuania’s water protection goals and climate change

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