Revisiting dominant practices in floodwater harvesting systems: making flood events worth their occurrence in flood-prone areas

Malota, Mphatso; Mchenga, Joshua

doi:10.1007/s13201-019-1096-4

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…Thirdly, Malota and Mchenga (2020) extensively discuss, albeit on a qualitative basis, that introducing a comprehensive set of water distribution rules is critical to address the upstream–downstream floodwater sharing challenges in the Malawi Shire Valley flood recession agriculture.…”

Section: Resultsmentioning

confidence: 99%

System-wide nexus analyses: water distribution rules, agricultural productivity and livelihoods in flood-based livelihood systems

Zenebe

Fleskens

Newaz³

et al. 2023

Renew. Agric. Food Syst.

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Water management and distribution rules in flood-based livelihood systems (FBLS) have a key role in enhancing system-wide productivity and livelihoods. While such potential has to a certain extent been harnessed in DG Khan FBLS in Pakistan, it has not yet been fulfilled in the Tana River and Fogera FBLS in Kenya and Ethiopia, respectively. These three systems are considered among the major sources of water and food security in their respective regions by the local governments and communities. Drawing from 105 individual interviews with Pakistani FBLS farmers, the paper establishes that a package of water management and distribution rules have significantly contributed to (a) mitigating excessive upstream floodwater use, (b) reducing downstream water scarcity and (c) realizing nearly 4 tons ha−1 harvest of the major wheat crop across the upstream and downstream areas. This yield is about 20% higher than the country-wide average, and two-third of the maximum achievable. Furthermore, 86% of the upstream and three in four of the downstream farmers have managed to cover their livelihood needs that included health, school, housing, transportation, energy and food expenses. On the other hand, the analyses based on individual interviews with 94 and 147 FBLS farmers from Kenya and Ethiopia respectively, uncovered the negative consequences of the absence of a comprehensive package of water management and distribution rules. In Kenya, the downstream small-scale farmers that account for two-third of the Tana River FBLS population frequently suffer from floodwater scarcity. They could not cultivate the high return rice crop and their staple maize yield was low at about 1.25 tons ha−1 or 20% of the maximum attainable. Four in five reported poor livelihoods. The upstream large-scale farmers however often diverted excessive floodwater; over 90% usually grow rice as well as maize as a second crop for home consumption. The situation in Fogera is similar. The water distribution rules prioritized the upstream rice cultivation introduced a decade back to boost economic growth. This, as informed by 95% of the interviewed farmers, has caused downstream floodwater scarcity, about 30% maize yield reduction and livelihood deterioration. These findings on the impacts of water distribution rules can contribute to formulating investments that better achieve the productivity and livelihood potentials of FBLS across Africa and globally.

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Section: Resultsmentioning

confidence: 99%

System-wide nexus analyses: water distribution rules, agricultural productivity and livelihoods in flood-based livelihood systems

Zenebe

Fleskens

Newaz³

et al. 2023

Renew. Agric. Food Syst.

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“…According to Hanusch and Pyka (2007), increasing a restaurant's competitiveness necessitates innovation, and adopting AI technology is one of those innovations. Being knowledgeable about the new technology, on the other hand, can help to avoid economic losses and operational risks (Malota & Mchenga, 2020). According to this study, knowing the benefits and drawbacks of implementing AI technology is critical for restaurant owners.…”

Section: Customer Relationship Management (Crm)mentioning

confidence: 99%

AI Adoption in the Chinese Food and Beverage Industry: An Exploratory Study

Wei,

Simay

2023

FIRM

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<em>This study aims to investigate the phenomena of how artificial intelligence (AI) as one of the cutting-edge technologies benefits restaurant services and what the obstacles to implementing AI in a restaurant are. Due to the rapid pace of life, people tend to have less and less eating time, especially white-collar workers. More and more restaurants implement AI technology to improve their cooking efficiency and reduce service time, such as fast payment systems (QR and facial recognition payment), AI-enabled bots, AI-powered self-ordering kiosks, and robot chefs. Since the COVID-19 pandemic begins in early 2020, food safety and sanitation become increasingly important when people eat outside. Chef and waiter robots are good options for avoiding intimate contact. This study employed qualitative research with in-depth interviews. We interviewed three restaurant managers in China. The findings suggest that adopting AI technology in restaurant services can minimize high costs, better manage customer relationships, and provide more convenient in-store services. This study contributes to the managerial gap in AI restaurants. </em>

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“…As a matter of the fact, the most extreme alluvial events that occurred in recent years were caused by intense and short-to mid-term rainfall (e.g., [11][12][13]) and were characterized by water flows higher than those generally safely disposed of by the collection systems [14]. It must also be emphasized that these events often require substantial funding for the reconstruction of damaged structures and assets [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Calculating Economic Flood Damage through Microscale Risk Maps and Data Generalization: A Pilot Study in Southern Italy

Festa

Guerriero

Focareta³

et al. 2022

Sustainability

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In recent decades, floods have caused significant loss of human life as well as interruptions in economic and social activities in affected areas. In order to identify effective flood mitigation measures and to suggest actions to be taken before and during flooding, microscale risk estimation methods are increasingly applied. In this context, an implemented methodology for microscale flood risk evaluation is presented, which considers direct and tangible damage as a function of hydrometric height and allows for quick estimates of the damage level caused by alluvial events. The method has been applied and tested on businesses and residential buildings of the town of Benevento (southern Italy), which has been hit by destructive floods several times in the past; the most recent flooding occurred in October 2015. The simplified methodology tries to overcome the limitation of the original method—the huge amounts of input data—by applying a simplified procedure in defining the data of the physical features of buildings (e.g., the number of floors, typology, and presence of a basement). Data collection for each building feature was initially carried out through careful field surveys (FAM, field analysis method) and subsequently obtained through generalization of data (DGM, data generalization method). The basic method (FAM) allows for estimating in great detail the potential losses for representative building categories in an urban context and involves a higher degree of resolution, but it is time-consuming; the simplified method (DGM) produces a damage value in a shorter time. By comparison, the two criteria show very similar results and minimal differences, making generalized data acquisition most efficient.

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Revisiting dominant practices in floodwater harvesting systems: making flood events worth their occurrence in flood-prone areas

Cited by 4 publications

References 20 publications

System-wide nexus analyses: water distribution rules, agricultural productivity and livelihoods in flood-based livelihood systems

System-wide nexus analyses: water distribution rules, agricultural productivity and livelihoods in flood-based livelihood systems

AI Adoption in the Chinese Food and Beverage Industry: An Exploratory Study

Calculating Economic Flood Damage through Microscale Risk Maps and Data Generalization: A Pilot Study in Southern Italy

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