Rainwater Harvesting Site Selection for Drought-Prone Areas in Somali and Borena Zones, Oromia Regional State, Ethiopia: A Geospatial and Multi-Criteria Decision Analysis DOI Open Access
Amanuel Kumsa Bojer,

Desta Jula Bekalo,

Taye Girma Debelee

и другие.

Water, Год журнала: 2024, Номер 16(13), С. 1789 - 1789

Опубликована: Июнь 25, 2024

Rainwater collection systems play a crucial role in enhancing water availability regions with low precipitation. This study focused on identifying potential rainwater harvesting (RWH) locations drought-prone areas, specifically the Borena zone of Oromia and regional states Somali. research leveraged geospatial techniques multi-criteria decision analysis (MCDA) to assess feasible RWH sites. The dataset comprises essential factors such as rainfall, drainage density, slope, soil texture type, land use/land cover. These thematic layers serve inputs for analysis, each factor being weighted using Analytical Hierarchy Process (AHP) method based its significance. Reclassifying into subclasses facilitates suitability analysis. linear combination (WLC) technique is applied identify prioritize (PRWH) four classes: highly suitable, moderately suitability, unsuitable. Our findings reveal that 1% area, covering approximately 3288 km2, suitable RWH. Areas moderate constitute 12% (37,498 km2), while representing majority, encompass about 75% (242,170 km2). Additionally, 13% (41,000 km2) area deemed unsuitable proposed sites adaptable other low-precipitation regions. However, before implementing structures, further imperative. exploration socioeconomic variables future urged an in-depth examination various aspects environmental sustainability. paves way adapting align community needs life cycles also exploring socio-economic dimensions sustainability study. insights offer promising solutions address urgent issues associated scarcity. should include comprehensive site depictions, social economic activities, meticulous preparation cost-benefit

Язык: Английский

Integrated land use land cover-energy modeling framework for solar energy planning in the future expansion areas; the case of Luxor city Region, Egypt DOI Creative Commons

Mohammed Hussien Yadem Lamien,

Hooman Farzaneh

Energy Conversion and Management X, Год журнала: 2025, Номер unknown, С. 100874 - 100874

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

3

Advanced groundwater potential and contamination vulnerability assessment using integrated GIS-based AHP techniques: A case study from the Bizerte watershed, Tunisia. DOI Creative Commons
Cyrine Belhadj,

R. Riahi,

Sinda Sifi

и другие.

Environmental and Sustainability Indicators, Год журнала: 2025, Номер unknown, С. 100597 - 100597

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

3

GIS and AHP-based flood susceptibility mapping: a case study of Bangladesh DOI

Zarjes Kader,

Md Rabiul Islam, Md. Tareq Aziz

и другие.

Sustainable Water Resources Management, Год журнала: 2024, Номер 10(5)

Опубликована: Авг. 29, 2024

Язык: Английский

Процитировано

11

Multi-criteria decision analysis of clean energy technologies for envisioning sustainable development goal 7 in Australia: Is solar energy a game-changer? DOI Creative Commons

Rajvikram Madurai Elavarasan,

N. Mithulananthan, GM Shafiullah

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 321, С. 119007 - 119007

Опубликована: Сен. 9, 2024

Язык: Английский

Процитировано

10

Integrating GIS and AHP for Photovoltaic Farm Site Selection: A Case Study of Ikorodu, Nigeria DOI Open Access

Hubert Onuoha,

Iheanacho Henry Denwigwe, Olubayo Moses Babatunde

и другие.

Processes, Год журнала: 2025, Номер 13(1), С. 164 - 164

Опубликована: Янв. 9, 2025

Large-scale renewable energy plants such as solar photovoltaic (PV) farms are vital to the global transition a green economy. They reduce greenhouse gas emissions, mitigate climate change, and promote sustainable resilient energy. However, large-scale PV need adequate planning site selection for optimal performance. This study presents geographic information system (GIS)-based multi-criteria decision-making (MCDM) framework utilizing analytic hierarchy process (AHP) identify sites utility-scale in Ikorodu, Lagos State, Nigeria. By integrating critical environmental, technical, economic, social factors, model evaluates land suitability projects across area. The finding indicates that 68.77% of is unsuitable development, with only 17.78% classified highly suitable 12.67% moderately suitable. Marginally most appropriate areas minimal, at 0.73% 0.04%, respectively. provides replicable approach stakeholders policymakers aiming implement solutions, aligning national targets. Future research could integrate dynamic factors community engagement, use changes, evolving environmental policies enhance models. offers valuable insights into contributes advancing Nigeria’s systems.

Язык: Английский

Процитировано

2

Flood Risk Assessment and Zoning for Niamey and Lokoja Metropolises in Niger and Nigeria DOI Creative Commons

Youssoufa Doulla Nouhou,

Martins Yusuf Otache,

Salamatou Abdourahamane Illiassou

и другие.

Hydrology, Год журнала: 2025, Номер 12(1), С. 17 - 17

Опубликована: Янв. 15, 2025

With the increasing frequency of floods in recent decades, particularly West Africa, many regions have faced unusual and recurrent flooding events. Communities flood-prone areas experience heightened insecurity, loss property, and, some cases, serious injuries or fatalities. Consequently, flood risk assessment mitigation become essential. This comparative study between Niamey Lokoja employs Geographic Information Systems (GIS) Analytical Hierarchy Process (AHP) to delineate susceptibility, vulnerability, zones. The utilized a comprehensive range thematic layers, with weight percentages assigned each parameter as follows: 29% for elevation, 24% slope, 15% Topographic Wetness Index (TWI), 9% drainage density, distance from rivers, 4% both precipitation Normalized Difference Water (NDWI), 2% Vegetation (NDVI) soil type. To validate these weightings, consistency ratio was calculated, ensuring it remained below 10%. findings reveal that 32% area is at flooding, compared approximately Lokoja. results highlight very high potential, near Niger River, this potential decreasing elevation increases. Given current prevalence extreme weather events crucial employ effective tools mitigate their adverse impacts. research will assist decision-makers quantifying spatial vulnerability developing strategies region.

Язык: Английский

Процитировано

2

A Novel Approach for Photovoltaic Plant Site Selection in Megacities Utilizing Power Load Forecasting and Fuzzy Inference System DOI

Rasoul Jalalifar,

M. R. Delavar,

S.F. Ghaderi

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122527 - 122527

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Convenient Site Selection of a Floating PV Power Plant in Türkiye by using GIS-Fuzzy Analytical Hierarchy Process DOI Creative Commons
Fatih Karipoğlu, Kemal Koca, Esra İ̇lbahar

и другие.

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(15), С. 23193 - 23210

Опубликована: Фев. 28, 2024

Abstract Floating photovoltaics (FPVs) are appearing as a promising and an alternative renewable energy opinion in which PV panels mounted on floating platforms order to produce electricity from water such seas, dams, rivers, oceans, canals, fish farms, reservoirs. So far, studies related the body knowledge financial, technical, environmental aspects of installation FPV have not been performed Turkey while expanding steadily other countries. In this study, suitable site selection for power plants three lakes was studied by performing geographic information system (GIS) fuzzy analytic hierarchy process (FAHP) multi-criteria decision-making (MCDM) method. This detailed study revealed that criterion global horizontal irradiance (GHI) determined most crucial Beysehir Lake, Lake Tuz, Van Lake. Additionally, it clearly seen had highest value approximately 52% among installation, is why selected best option with approach.

Язык: Английский

Процитировано

9

Bangladesh's pathways to net-zero transition: Reassessing country's solar PV potential with high-resolution GIS data DOI Creative Commons
Arfan Hasan,

Prin Kesapabutr,

Bernd Möller

и другие.

Energy Sustainable Development/Energy for sustainable development, Год журнала: 2024, Номер 81, С. 101511 - 101511

Опубликована: Июль 20, 2024

Solar photovoltaic (PV) technology stands out as a cornerstone in Bangladesh's journey towards achieving net-zero emissions, representing crucial building block the country's sustainable energy transition plan. However, rapid land use change and lack of suitable for developing PV pose significant barriers to renewable targets decarbonisation goals transition. Our analysis predevelopment state ten existing solar plants Bangladesh reveals substantial scarce agricultural their establishment. Therefore, identify pathways overcoming challenges, this study reassesses geographic technical potential using geospatial modelling by considering local contexts. investigation encompasses Rooftop (RPV), Ground-mounted (GPV), Floating (FPV), Agrivoltaic (APV) systems. To areas quantify potential, we employ comprehensive exclusion model system-specific suitability models QGIS platform. Utilising latest spatial datasets, including footprint data comprising approximately 20 million buildings, 10 metre (m) resolution cover map, bathymetry data, our provides robust analysis. The results present holistic view estimating about 30 GWp RPV, 9 GPV, 5 FPV, 81 APV applications. Given escalating urbanisation Bangladesh, findings recommend diversifying deployment with focus on RPV other systems that offer dual facilitate smoother development.

Язык: Английский

Процитировано

7

Photovoltaic plant site selection considering dust soiling effects: A novel hybrid framework based on uncertainty and reliability with optimum cleaning schedule DOI
Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

Applied Energy, Год журнала: 2025, Номер 382, С. 125252 - 125252

Опубликована: Янв. 5, 2025

Язык: Английский

Процитировано

1