Assessing Marginalized Communities in Mexico for Implementation of Rainwater Catchment Systems

Sámano-Romero, Gerardo; Mautner, Marina; Chávez-Mejía, Alma C.; Jiménez–Cisneros, Blanca

doi:10.3390/w8040140

Cited by 11 publications

(8 citation statements)

References 21 publications

(24 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Development of design curves for the RWH system assists wider application of the RWH system in a region without the need of at-site data analysis as demonstrated by Sámano-Romero et al [46] and Liuzzo et al [48]. The feasibility and benefits of implementing the RWH system is likely to be underestimated if only monetary benefit is considered [50].…”

Section: Discussionmentioning

confidence: 99%

“…In this regard, Sámano-Romero et al [46] used regional water access and precipitation data in Mexico to identify municipalities that would most benefit from the installation of domestic RWH systems. The developed method considered monthly rainfall data, number of occupants per household, water demand and run-off coefficient to calculate catchment area and tank size needed for a single dwelling.…”

Section: Summary Of This Special Issuementioning

confidence: 99%

See 1 more Smart Citation

Recent Advances in Modelling and Implementation of Rainwater Harvesting Systems towards Sustainable Development

Rahman

2017

Water

View full text Add to dashboard Cite

Rainwater harvesting (RWH) is perhaps the most ancient practice to meet water supply needs. It has received renewed attention since the 1970s as a productive water source, water savings and conservation means, and sustainable development tool. In RWH, it is important to know how much water can be harvested at a given location from a given catchment size, whether the harvested water meets the intended water quality, whether the RWH system is economically viable and whether the state regulations favor the RWH. Furthermore, the selected RWH system should be suitable to local rainfall and field conditions, downstream impacts, and socio-economic and cultural characteristics. In this regard, this paper provides an overview of the special issue on "Rainwater Harvesting: Quantity, Quality, Economics and State Regulations". The selected papers cover a wide range of issues that are relevant to RWH such as regionalization of design curves, use of spatial technology, urban agriculture, arid-region water supply, multi criteria analysis and application of artificial neural networks.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Summary Of This Special Issuementioning

confidence: 99%

Recent Advances in Modelling and Implementation of Rainwater Harvesting Systems towards Sustainable Development

Rahman

2017

Water

View full text Add to dashboard Cite

show abstract

“…The observed distribution of AEM reflects Mexico's strong policy emphasis on addressing hydroclimatic vulnerability and the effects of desertification on agriculture [80]. Municipalities in arid and semi-arid regions at high risk of soil erosion were about 20 times more likely to receive AEM than wetter municipalities with little erosion risk.…”

Section: Aem Targeting Favors Arid Regions At Risk Of Soil Erosionmentioning

confidence: 91%

Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages

LaFevor

Ponette‐González

Larson

et al. 2021

Land

View full text Add to dashboard Cite

Agricultural support programs distribute payments to farms based on a diverse set of policy objectives. Adequate targeting of this support to priority areas is key to efficient and effective policy. We evaluated the targeting strategy of a national-level program in Mexico that distributed support based on seven criteria that prioritized poor smallholder farming communities at high risk of cropland failure. We used a series of logistic models to assess the coverage and leakage rates of the program’s targeting strategy and found rates of about 80 and 20 percent, respectively. We also found significant differences between the targeting priorities specified in program rules and the observed distribution of support measures. In general, the program favored arid and semi-arid regions at high risk of soil erosion but neglected smallholder farms in high-poverty regions with elevated rates of cropland failure. Our findings highlight the continued lack of financial support for smallholder agriculture in Mexico, despite program rules and priority statements that stress the vulnerability of this sector. This study also illustrates the important role of spatial targeting in better aligning agricultural support payments with stated policy priorities. This alignment is often overlooked in ex-post assessment, but it is critical for improving targeting precision, equity, and overall policy effectiveness.

show abstract

“…Figure 2 shows the precipitation distribution in Mexico from 2010 to 2015 observed by ground weather radar, with more precipitation in the south of Mexico and less in the north during this period. The west coast of Mexico has a relatively low intense rainfall, while the east coast of Mexico has a relatively high intense rainfall, the details can be referred from [45]. This graph was used in this study as a reference for the GPM rainfall observations comparison.…”

Section: Methodology and Study Areamentioning

confidence: 99%

GPM Annual and Daily Precipitation Data for Real-Time Short-Term Nowcasting: A Pilot Study for a Way Forward in Data Assimilation

Wang

Kong

Yang

et al. 2021

Water

View full text Add to dashboard Cite

This study explores the quality of data produced by Global Precipitation Measurement (GPM) and the potential of GPM for real-time short-term nowcasting using MATLAB and the Short-Term Ensemble Prediction System (STEPS). Precipitation data obtained by rain gauges during the period 2015 to 2017 were used in this comparative analysis. The results show that the quality of GPM precipitation has different degrees efficacies at the national scale, which were revealed at the performance analysis stage of the study. After data quality checking, five representative precipitation events were selected for nowcasting evaluation. The GPM estimated precipitation compared to a 30 min forecast using STEPS precipitation nowcast results, showing that the GPM precipitation data performed well in nowcasting between 0 to 120 min. However, the accuracy and quality of nowcasting precipitation significantly reduced with increased lead time. A major finding from the study is that the quality of precipitation data can be improved through blending processes such as kriging with external drift and the double-kernel smoothing method, which enhances the quality of nowcast over longer lead times.

show abstract

Assessing Marginalized Communities in Mexico for Implementation of Rainwater Catchment Systems

Cited by 11 publications

References 21 publications

Recent Advances in Modelling and Implementation of Rainwater Harvesting Systems towards Sustainable Development

Recent Advances in Modelling and Implementation of Rainwater Harvesting Systems towards Sustainable Development

Spatial Targeting of Agricultural Support Measures: Indicator-Based Assessment of Coverages and Leakages

GPM Annual and Daily Precipitation Data for Real-Time Short-Term Nowcasting: A Pilot Study for a Way Forward in Data Assimilation

Contact Info

Product

Resources

About