Sustainable Land Governance for Water–Energy–Food Systems: A Framework for Rural and Peri-Urban Revitalisation

Land, Год журнала: 2023, Номер 12(10), С. 1828 - 1828

Опубликована: Сен. 25, 2023

This research paper addresses the need for an adaptable theoretical framework in context of sustainable land governance Water–Energy–Food (WEF) systems, bridging gap between international guidelines and contextual realities. The novel is useful to effectively tackle intricate challenges rural peri-urban revitalisation Global South by providing a holistic approach that considers multi-dimensional interactions with water, energy, food systems. proposed encompasses three main objectives: (1) top-down involving policy review legal analysis contextualise inform decision-making process; (2) bottom-up based on case studies, enabling ground-level insights, stakeholder identification, participatory mapping empower communities; (3) geospatial utilizing GIS spatial study implications within WEF Drawing mixed methods, including literature review, interviews, surveys, focus group discussions, action grounded this emphasises integrate both approaches comprehensive governance. Over course 2018 2023, 22 master’s theses were supervised, each addressing framework’s objectives 14 countries Africa, Asia, Middle East, Latin America. Sixteen capacity building workshops 11 engaged 851 participants, fostering knowledge exchange; 6 (PAR) projects involved installation advance sovereignty small communities South, following needs assessments. We showcase PAR successfully implemented Gitaraga, Rwanda, validate practical application framework. methodology has been determining transversality, sustainability, inclusivity, adaptability, evidence-based decision-making, integration as core principles contributes valuable insights future interventions policies promote revitalization while ever-evolving systems South.

Язык: Английский

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Alterations in Hydrological Responses under Changing Climate and Land Use/Land Cover across Contrasting Agroecological Environments: A Case Study on the Chemoga Watershed in the Upper Blue Nile Basin, Ethiopia

Water, Год журнала: 2024, Номер 16(7), С. 1037 - 1037

Опубликована: Апрель 4, 2024

We analyzed hydrological responses to changing climate and land use/land cover (LULC) for the past (1985–2020) future (2021–2080) in Chemoga watershed of Upper Blue Nile Basin. The comprises four agroecological environments: Moist Kolla, Weyna Dega, Wet Wurch. Past projected LULC changes under business-as-usual (BAU) conservation (LC) scenarios were utilized. Climate projections from 2021 2080, two Shared Socioeconomic Pathways (SSP2-4.5 SSP5-8.5), downscaled Global Models. Utilizing Soil Water Analysis Tool, we assessed impacts on mean annual surface runoff (SR) evapotranspiration (ET). Maximum minimum temperatures increased significantly scenarios, with a significant rainfall increase observed SSP5-8.5. Historical trends revealed 16.6% SR 7% ET 1983–2002 2003–2020. Under BAU SSP2-4.5 (SSP5-8.5) scenario, by 24% (26.1%) 3.1% (4.4%) 2003–2020 2021–2050, followed subsequent rise 13.7% (14.0%) 6.0% (5.7%) 2021–2050 2051–2080. Conversely, LC resulted 5.3% (4.2%) decrease 9.7% (11.3%) further 1% (0.7%) 6.1% (6.9%) Kolla agroecology experienced highest due vegetation clearances commercial farming. Meanwhile, scenario indicated substantial decreases marginal increases Dega forest restoration steep slopes. Overall, showed greater sensitivity changes, while was more responsive changes. results emphasize considering diverse contexts effective water resource management scenarios.

Язык: Английский

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Effect of calculation unit division in distributed hydrological models on the analysis of hydrological effects of land use change

CATENA, Год журнала: 2024, Номер 246, С. 108445 - 108445

Опубликована: Окт. 10, 2024

Язык: Английский

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Spatially non-stationarity relationships between high-density built environment and waterlogging disaster: Insights from xiamen island, china

Ecological Indicators, Год журнала: 2024, Номер 162, С. 112021 - 112021

Опубликована: Апрель 18, 2024

A profound comprehension of the relationship between built environment and waterlogging disasters in high-density urban areas is essential to improve resilience achieve safe sustainable living environments. Based on multi-source data, this study employs a spatial autocorrelation model, geodetector multi-scale geographically weighted regression model construct comprehensive method. This has led formulation more effective integration method for investigating non-stationary relationships disasters. The results show that: (1) distribution events displays strong dependence. (2) Floor area ratio, building structure index, slope, water surface rate, etc., exhibit limited independent explanatory capability concerning density events. However, their nonlinear augmentation effect becomes noteworthy upon amalgamation with other factors, especially combination characteristics number rain-sewage mixing nodes. (3) It reliable efficient reduce risk by optimizing rainwater sewage diversion system reducing nodes instead modifying underlying controlling morphological impervious ground. (4) Where demonstrates intricate diverse attributes, emergence heightened sensitivity changes environment. provides novel perspective understanding formation mechanisms heterogeneity

Язык: Английский

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Water Quality Changes in the Xingkai (Khanka) Lake, Northeast China, Driven by Climate Change and Human Activities: Insights from Published Data (1990–2020)

Water, Год журнала: 2024, Номер 16(21), С. 3080 - 3080

Опубликована: Окт. 28, 2024

Water quality degradation and eutrophication of lakes are global ecological environmental concerns, especially shallow lakes. This study collected hydrochemical data from 2935 samples the Chinese part Xingkai (Khanka) Lake, based on 40 published papers spanning period 2001 to 2023. Using water index (WQI), improved geo-accumulation (Igeo), redundancy analysis (RDA), we analyzed overall contamination characteristics environment in Lake. Additionally, explored impact climate change human activities lake’s quality. The results showed that annual WQI for Lake ranged 47.3 72, with a general downward trend, indicating improving Notably, average May total nitrogen (TN) content decreased significantly, signaling further improvement concentration TN sediments was 1401.3 mg/kg, reflecting mild contamination. Igeo values heavy metals Hg Cr were greater than 1, moderate contamination, while Cd Pb between 0 which is range uncontaminated moderately contaminated. Land use (average temperature precipitation) key factors influencing quality, cumulative explanatory ratios 67.3% 50.1%. utilized land-use as metric activities, highlighting potential impacts It offers vital insights sustainable management provides valuable references into similar transboundary

Язык: Английский

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Traceability simulation of drainage in irrigation areas along the south bank of the Yellow River based on the SWAT model

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Янв. 23, 2025

The simulation of drainage sources in irrigation areas at the watershed scale is great significance for understanding characteristics and status districts under various water-saving climatic conditions. In this study, our focus was on located south bank Yellow River Hangjin Banner. We aimed to analyze simulate flow rate overall volume ditch by developing a soil water assessment tool (SWAT) model. measured data were utilized calibrate validate model explore structure selected study area. results indicated that average annual area 4355.65 × 10 4 m³, primary source subsurface drainage, which accounted approximately 68% total drainage. Subsurface second-largest source, contributing 31%, while surface negligible proportion, merely 1% Concerning proportion relative each area, Balahey 20%, Jianshe 45%, Dugui 35%. Moreover, parameters optimized using SWAT-CUP software obtain R 2 , NSE Re RMSE values 0.65, 0.60, −8.54%, 384.65 m 3 respectively, calibration period, corresponding 0.63, 0.56, −7.82%, 389.65 validation period. traceability are crucial importance efficient utilization resources

Язык: Английский

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Climate Change, Land Degradation and Sustainable Development in Africa? Evidence for AfCFTA Implementation

Sustainable Development, Год журнала: 2025, Номер unknown

Опубликована: Фев. 24, 2025

ABSTRACT This study assesses the effect of climate change and land degradation on Sustainable Development Goal (SDG) 2 indicators (agricultural productivity, crop yields, agricultural output per capita, livelihoods, economic growth) for different African regions. Using data from 46 countries (1990–2022), we employ Panel‐Corrected Standard Errors (PCSE) Feasible Generalized Least Squares (FGLS) techniques to show that both have substantial negative impacts pursuit achieving SDG2, especially in agriculture, forestry, fishing. We also some specific change, like rainfall patterns, had positive while such as deforestation resource depletion hindered progress. Thus, provides evidence a critical need integrated policies strategies encompassing adaptation mitigation, restoration conservation, sustainable practices Africa.

Язык: Английский

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Integrating Land Use/Land Cover and Climate Change Projections to Assess Future Hydrological Responses: A CMIP6-Based Multi-Scenario Approach in the Omo–Gibe River Basin, Ethiopia

Climate, Год журнала: 2025, Номер 13(3), С. 51 - 51

Опубликована: Фев. 28, 2025

It is imperative to assess and comprehend the hydrological processes of river basin in light potential effects land use/land cover climate changes. The study’s main objective was evaluate hydrologic response water balance components projected (LULC) changes Omo–Gibe River Basin, Ethiopia. study employed historical precipitation, maximum minimum temperature data from meteorological stations, LULC change module for use simulation evaluation (MOLUSCE) output, scenarios coupled model intercomparison project phase 6 (CMIP6) global models (GCMs). Landsat thematic mapper (TM) (2007) enhanced plus (ETM+) (2016), operational imager (OLI) (2023) image were utilized analysis used as input MOLUSCE predict future 2047, 2073, 2100. predictive capacity evaluated using performance metrics such Nash–Sutcliffe Efficiency (NSE), coefficient determination (R2), percent bias (PBIAS). correction downscaling CMIP6 GCMs performed via CMhyd. According present findings, rainfall will drop by up 24% 2020s, 2050s, 2080s while evapotranspiration increase 21%. findings this indicate that time periods, average annual Tmax 5.1, 7.3, 8.7%, respectively under SSP126 scenario, 5.2, 10.5, 14.9%, SSP245 4.7, 11.3, 20.7%, respectively, SSP585 scenario Tmin 8.7, 13.1, 14.6%, 1.5, 18.2, 27%, 30.7, 48.2%, scenario. Future Tmax, Tmin, precipitation could have a significant effect on surface subsurface hydrology, reservoir sedimentation, hydroelectric power generation, agricultural production OGRB. Considering long-term runoff, evapotranspiration, groundwater recharge following recommendations are essential efficient resource management ecological preservation. National, regional, local governments, well non-governmental organizations, should develop implement robust resources plan, promote afforestation reforestation programs, install high-quality collection mechanisms, strengthen monitoring early warning systems Basin.

Язык: Английский

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An approach for analyzing unpredicted heat and precipitation events using spatiotemporal big data: A case study of Indian Western coastal cities

Urban Climate, Год журнала: 2025, Номер 61, С. 102414 - 102414

Опубликована: Апрель 15, 2025

Язык: Английский

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Streamflow variability under SSP2-4.5 and SSP5-8.5 climate scenarios using QSWAT plus for Subansiri River Basin in Arunachal Pradesh, India

Theoretical and Applied Climatology, Год журнала: 2025, Номер 156(5)

Опубликована: Апрель 28, 2025

Язык: Английский

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