Design Criteria for Planning the Agricultural Rainwater Harvesting Systems: A Review

Martínez-Acosta, Luisa; López-Lambraño, Álvaro Alberto

doi:10.3390/app9245298

Cited by 9 publications

(4 citation statements)

References 87 publications

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“…The planning of the RWH system is influenced by a series of socioeconomic, environmental and technical factors such as the rainfall regime, rainwater quality, space availability, required demands and its characteristics, criteria for project, among others (Santos & Taveira-Pinto, 2013;Melville-Shreeve et al, 2016;Martínez-Acosta et al, 2019;Vargas et al, 2019;Toosi et al, 2020). Therefore, it is difficult to find a basic and generic recommendation for the size and configuration of rainwater storage systems (Jones & Hunt, 2010;Campisano et al, 2017;Corrêa et al, 2018;Semaan et al, 2020), especially in regions and countries, such as Brazil, where the large climatic variability can affect the RWH performance (Palla et al, 2012;Sahin & Manioglu, 2019, Pacheco et al, 2017.…”

Section: Introductionmentioning

confidence: 99%

Influence of rainfall and design criteria on performance of rainwater harvesting systems placed in different Brazilian climatological conditions

Perius

Tassi

Lamberti

et al. 2021

RBRH

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Using rainwater harvesting (RWH) system is influenced by socioeconomic, environmental and technical factors. This work presents as analysis of the influence of the rainfall time series characteristics and design criteria on RWH performance of five Brazilian capitals with different climatic characteristic: Goiânia, João Pessoa, Manaus, Porto Alegre and São Paulo. The analysis combined different rooftop areas, storage volumes and the indoor and outdoor demands. Rainfall temporal discretization and the types of demands were the most important characteristics when assessing RWH reliability. Daily rainfall data were suitable for sizing the RWH, the time series length influenced the sizing of larger storage volumes, and the RWH efficiency was not significantly affected by the first-flush. Toilet flushing and the irrigation demands had the greatest impact on RWH performance. The greatest potentials for the implementation of RWH were observed for Porto Alegre, because of well distributed rainfall throughout the year, and for Manaus owing to higher annual volumes of precipitation. These results highlight relevant aspects that must be observed during the conception and design of RWH, complementing the guidelines provided in the Brazilian technical standards.

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Section: Introductionmentioning

confidence: 99%

Influence of rainfall and design criteria on performance of rainwater harvesting systems placed in different Brazilian climatological conditions

Perius

Tassi

Lamberti

et al. 2021

RBRH

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“…It is still worth noting that there are different methods of rainwater use (water harvests) that allow, in one way or another, to optimize irrigation work depending on the crop type and the features of the area, such as micro-basins [69,70], mini runoff catchments, macro catchments and stone lines [71,72], and other rainwater harvesting (RWH) techniques [73]. In the case of the study area, implementation of furrows or blind inlets to the contour of the crops is recommended, since these can reduce the speed of surface drainage, the sediments transport and, in the same way, facilitate the recharge of aquifers to maintain soil moisture and optimize water absorption by plant roots [74][75][76].…”

Section: Resultsmentioning

confidence: 99%

Supply and Demand Analysis of Water Resources. Case Study: Irrigation Water Demand in a Semi-Arid Zone in Mexico

et al. 2020

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To sustainably use water resources, it is important to quantify water availability in a certain region. Due to climate change, population increase, and economic development, water demand increases continuously. Consequently, the difference between supply and demand of water becomes a significant issue, especially in arid and semi-arid regions. In this research, the Soil and Water Assessment Tool (SWAT) model has been applied to the Guadalupe river basin, to assess supply and demand analysis of water resources in this area, specifically for the irrigation of agricultural crops and municipal uses. From the land use, soil type, and terrain slope maps, 763 Hydrostatic Release Units (HRU) were estimated, distributed in the diverse relief types making up the basin, featured by mountains, hills, plateaus, plains, and valleys. For the crop area, 159 HRU were found with the three slope classification types, where 57 HRU represent 91% of the cultivated area on slopes, from 0 to 15%, located in the Ojos Negros and Guadalupe Valleys. The Soil Conservation Service method (SCS) was used to estimate the average monthly runoff and soil moisture content. As a result, water resource parameters related to the supply were determined with this, e.g., runoff, aquifer recharge, flow, infiltration, and others. Crop coefficient values (Kc) were used to determine crop evapotranspiration (ETc), to estimate the water demand of these for each month, using the multi-year monthly average reference evapotranspiration (ETo) calculated with the SWAT model. Overall good performance was obtained considering average monthly discharges data from the Agua Caliente gauging station. The model was calibrated, modifying the parameters chosen according to sensitivity analysis: SCS curve number, base-flow factor, ground-flow delay, and the threshold for return-flow occurrence. The Soil and Water Assessment Tool–Calibration and Uncertainty Programs SWAT-CUP has different goodness-of-fit indicators for the model e.g., determination coefficient (R2), standard deviation of the measured data (RSR), Nash–Sutcliffe coefficient of efficiency (NSE), and others. Multiple iterations were performed, resulting in a ratio between the root mean square error and the standard deviation of the measured data (RSR) of 0.61, a coefficient of determination (R2) of 0.70, and a Nash–Sutcliffe efficiency coefficient (NSE) of 0.63. A supply–demand analysis of the volume generated by the runoff from the basin was performed using the method of estimating useful volume for a reservoir. It is observed in these results that only positive deviations were obtained, implying that runoff in this basin is not enough to meet monthly demand. Finally, the need to establish actions to ensure water management efficiency is highlighted, both for irrigation of agricultural crops and for supply to the region population.

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“…From a biological perspective of the living organism, water is a necessity for human life. It also serves as the foundation for food security and biodiversity [1]. Rain is the ideal source of recharge for the groundwater.…”

Section: Introductionmentioning

confidence: 99%

Optimum Configuration of Rainwater Harvesting System using CREO PARAMETRIC and ANSYS

Uddin

Samsudin

Amin

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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The practice of rainwater harvesting (RWH) has been studied extensively in recent years, as it has the potential to alleviate the increasing stress on urban water distribution systems. An appropriate design and evaluation of an RWH system is necessary to improve system performance and the stability of the water supply. In this study, the design of the main components in the RWH system such as the gutter, water storage tank and water pump were varied based on the main material of the component and rainfall intensity. Each component was presented according to the results of design, stress and fluid analyses performed by Creo parametric 7.0 and ANSYS. The main outcome of this work is a computational design tool that can be used to improve the RWH system component’s performance considering a variety of factors. A design of a gutter made of polyvinyl chloride (PVC) with a yield strength of 50 MPa and a size of 5 inches was used. The rainwater will pass through a water pipe to a 500 L, High-Density Polyethylene (HDPE) water storage tank with a yield strength of 43 MPa. A 1 HP single-phase pump with a maximum flow rate of 196.2 L/min was used to generate a steady flow for household usage. The factor of safety of each component was obtained above 1.5 and was determined by the maximum Von Mises stress. Each component in the system has a different life span, however, the overall life span of the RWH system is estimated to be 20 years

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Design Criteria for Planning the Agricultural Rainwater Harvesting Systems: A Review

Cited by 9 publications

References 87 publications

Influence of rainfall and design criteria on performance of rainwater harvesting systems placed in different Brazilian climatological conditions

Influence of rainfall and design criteria on performance of rainwater harvesting systems placed in different Brazilian climatological conditions

Supply and Demand Analysis of Water Resources. Case Study: Irrigation Water Demand in a Semi-Arid Zone in Mexico

Optimum Configuration of Rainwater Harvesting System using CREO PARAMETRIC and ANSYS

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