Rainwater Harvesting Structure Site Suitability Using Remote Sensing and GIS

Gavit, B. K.; Purohit, R. C.; Singh, Pradeep Kumar; Kothari, Mahesh; Jain, Hemant Kumar

doi:10.1007/978-981-10-5801-1_23

Cited by 16 publications

(3 citation statements)

References 3 publications

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“…The average accuracy of suitability pixels for the WSM model (69.22%) is higher than the average accuracy of suitability pixels for AHP (62.22%). The reason is that the AHP needs explicit judgments, where the decision-makers may feel more confused when filling out the pairwise comparison matrix because real-world decision problems are complicated and unclear [ 19 , 116 ]. The average accuracy distance of suitability pixels from reference points for the WSM model is lower than the average accuracy distance of suitability pixels for AHP, which were 36.33 %, and 38.78 %, respectively.…”

Section: Validation Of the Modelsmentioning

confidence: 99%

An integrated new approach for optimizing rainwater harvesting system with dams site selection in the Dewana Watershed, Kurdistan Region, Iraq

Ahmad,

Salar,

Shareef

2024

Heliyon

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Section: Validation Of the Modelsmentioning

confidence: 99%

An integrated new approach for optimizing rainwater harvesting system with dams site selection in the Dewana Watershed, Kurdistan Region, Iraq

Ahmad,

Salar,

Shareef

2024

Heliyon

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“…Particularly in urbanized regions, where the shortage of quality water supply can often occur, this practice offers a sustainable alternative in terms of cost and maintenance [5][6][7]. It is also one of the simplest and most easily accessible approaches to water management in areas with sufficient rainfall [8,9]. Pertaining to the impacts of growing urban population and urbanization, the Asian Development Bank has placed Pakistan in the red zone in the context of water stress [10].…”

Section: Introductionmentioning

confidence: 99%

Identifying Potential Sites for Rainwater Harvesting Structures in Ghazi Tehsil, Khyber Pakhtunkhwa, Pakistan, Using Geospatial Approach

et al. 2022

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Rainwater harvesting is an important step towards maximizing the water availability and land productivity in arid and semi-arid areas. The present study shows that the area of Ghazi Tehsil within Khyber Pakhtunkhwa Province, Pakistan, has great potential for rainwater harvesting due to its feasible climatic and topographic conditions. This area of 348 km2 normally receives high rainfall annually, but, due to hilly terrain, the bulk of rainwater is lost in the runoff process. In order to enhance agricultural output for such a large area, the practice of rainwater harvesting is a sustainable and decisive approach. However, the selection of appropriate sites for rainwater harvesting on a large scale presents a critical challenge. In such areas, geospatial technology has proved very decisive in the identification of potential sites. In this study, we have used the HEC-GeoHMS tool (ArcGIS 9.3) to compute a curve number to represent the effects of rainfall against the hydrological soil group and landcover. Subsequently, the curve number was used as an input parameter in the soil conservation service runoff-curve number (SCS-CN) method to estimate surface runoff potential for different combinations of landcover and hydrological soil groups. It was observed that runoff was higher in mountainous areas and relatively low in plain areas. Finally, to identify the potential sites for rainwater harvesting, weighted overlay analysis-based related thematic map layers were further reclassified, and weights were assigned according to the technical guidelines of suggested international standards and under consideration of the study area’s topographic, hydrological, and climatic factors. As a result, about 20% of the area was found suitable, 52% less suitable, and 29% as not suitable. Furthermore, relative suitability was assigned to the results of suitable sites as an input for the identification of potential sites for different rainwater harvesting storage structures. These results show that 10% of the area was suitable for farm ponds, 5.74% for check dams, 21.5% for Nigarims, and 8.9% was found to be suitable for gully plugs. The comparison of our GIS-derived and field-based results spatially affirms that the analyzed results were agreeably overlaid in the context of spatial results for check dams, gully plugs, and Nigarims.

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“…Rainfall may be the most critical concept in the water balance equation, so it is one of the challenges for engineer designers and hydrologists to interpret historic data of rainfall and hydrology in terms of potential occurrence probabilities. Annual maximum analysis over the catchment at different daily or better predictive is a fundamental method of safe and economic planning, water management and hydraulic system design (Gavit et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Site Suitability in Water Harvesting Management Using Remote Sensing Data and Gis Techniques: A Case Study of Sulaimaniyah Province, Iraq

Noori

Ghasemlounia

Noori

2022

Preprint

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The human-induced water use changes and the climate change effects have impartially led to long-term drought, water shortages and some casual flood incidents. These, have significantly impacted the northern region of Iraq over the past few decades. Water resources management has become a key to resolving this dilemma, particularly for the arid and semi-arid areas. Harvested water could be exploited for consumption, domestic, and animal use. Moreover, it is considered a valuable resource for irrigating agricultural lands. This study aims to identify appropriate sites for rainwater harvesting in the Sulaimaniyah province, Iraqi Kurdistan region. These processes have been done by using remote sensing, Geographic Information System (GIS) techniques and multi-criteria decision making (MCDM). The analytical hierarchy process (AHP) model has been used to find out suitable locations for water harvesting. The criteria considered were runoff, slope, soil type, land cover and drainage density. Each factor is assigned to its weight depending on its effect. Based on the findings, the average region that is outstanding and well-suited for water collection is 32% of the whole area. The model that has been applied in the current study is extremely significant and supportive for water resource management.

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Rainwater Harvesting Structure Site Suitability Using Remote Sensing and GIS

Cited by 16 publications

References 3 publications

An integrated new approach for optimizing rainwater harvesting system with dams site selection in the Dewana Watershed, Kurdistan Region, Iraq

An integrated new approach for optimizing rainwater harvesting system with dams site selection in the Dewana Watershed, Kurdistan Region, Iraq

Identifying Potential Sites for Rainwater Harvesting Structures in Ghazi Tehsil, Khyber Pakhtunkhwa, Pakistan, Using Geospatial Approach

Site Suitability in Water Harvesting Management Using Remote Sensing Data and Gis Techniques: A Case Study of Sulaimaniyah Province, Iraq

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