Rapid groundwater decline and some cases of recovery in aquifers globally

Nature, Год журнала: 2024, Номер 625(7996), С. 715 - 721

Опубликована: Янв. 24, 2024

Abstract Groundwater resources are vital to ecosystems and livelihoods. Excessive groundwater withdrawals can cause levels decline 1–10 , resulting in seawater intrusion 11 land subsidence 12,13 streamflow depletion 14–16 wells running dry 17 . However, the global pace prevalence of local declines poorly constrained, because situ have not been synthesized at scale. Here we analyse groundwater-level trends for 170,000 monitoring 1,693 aquifer systems countries that encompass approximately 75% 18 We show rapid (>0.5 m year −1 ) widespread twenty-first century, especially regions with extensive croplands. Critically, also accelerated over past four decades 30% world’s regional aquifers. This acceleration deepening highlights an urgent need more effective measures address depletion. Our analysis reveals specific cases which reversed following policy changes, managed recharge surface-water diversions, demonstrating potential depleted recover.

Язык: Английский

---

Leveraging Machine Learning for Analyzing the Nexus Between Land Use and Land Cover Change, Land Surface Temperature And Biophysical Indices in an Eco-Sensitive Region of Brahmani-Dwarka Interfluve

Results in Engineering, Год журнала: 2024, Номер unknown, С. 102854 - 102854

Опубликована: Сен. 1, 2024

Язык: Английский

---

Scenario-Based LULC Dynamics Projection Using the CA–Markov Model on Upper Awash Basin (UAB), Ethiopia

Sustainability, Год журнала: 2023, Номер 15(2), С. 1683 - 1683

Опубликована: Янв. 16, 2023

Understanding the spatiotemporal changes in land use and cover (LULC) watershed is crucial for maintaining sustainability of resources. This study intents to understand historical (1972–2015) future (2030–2060) distribution LULC Upper Awash Basin (UAB). The supervised Maximum Likelihood Classifier technique (MLC) was implemented classification. Cellular Automata-Markov (CA–Markov) model employed project two scenarios LULC, ‘business-as-usual’ (BAU) ‘governance’ (Gov). Results from area show that urban cropland areas increased 52.53 km2 (0.45%) 354.14 (3.01%) 6040.75 (51.25%) 8472.45 (71.97%), respectively. Whereas grassland, shrubland, water bodies shrunk 2052.08 (17.41%) 447.63 (3.80%), 2462.99 (20.89%) 1399.49 (11.89%) 204.87 (1.74%) 152.44 (1.29%), respectively, 1972 2015. results indicated forest highly vulnerable occupied by areas. projected under BAU scenario shows substantial expansion, increasing (71.97%) 2015 9159.21 (77.71%) 2060 (3.1%) 2015, 1196.78 (10.15%) 2060, at expense vegetation cover. These provide insight intothe area, thus requiring urgent attention managers, policymakers, stakeholders sustainable practices UAB. Meanwhile, Gov indicates an increase vegetable covers a decrease cropland, encouraging development compared scenario.

Язык: Английский

---

Land-Use Transitions and Its Driving Mechanism Analysis in Putian City, China, during 2000–2020

Sustainability, Год журнала: 2024, Номер 16(9), С. 3549 - 3549

Опубликована: Апрель 24, 2024

Investigating the spatial-temporal evolution of land use and its driving forces provides a scientific basis for policy formulation, land-use structure adjustment, ecological civilization development. Using Google Earth Engine (GEE) platform, this study analyzed remote sensing images from 2000, 2010, 2020 to derive basic data Putian City five districts counties. These were then systematically using methodologies such as Single Land-use Dynamics Geo-informatic Tupu reveal characteristics transitions (LUTs), pattern over past two decades in City, China. Subsequently, socioeconomic conditions macro policies identified factors further explore mechanisms behind area through canonical correspondence analysis (CCA). The findings revealed that: (1) predominant consisted mainly cultivated forest land, with other types interspersed within them, while built-up exhibited continual outward expansion. (2) Various regions varying degrees abandoned farmland, ultimately transforming into wasteland (grassland) weed growth, presenting significant challenges ensuring food security mitigating conversion non-agricultural non-grain uses. (3) Specific macro-economic development objectives during distinct periods, particularly urban expansion growth secondary industry resulting municipal county mergers, emerged pivotal spatial temporal influenced differential distribution across City. Consequently, suggests bolstering planning implementing effective regulations concerning use, it advocates efficient utilization space-time resources pertaining integrating them agriculture, culture, tourism endeavors. Such measures are proposed ensure harmonized sustainable regional economy.

Язык: Английский

---

Inner Niger Delta Inundation Extent (2010–2022) Based on Landsat Imagery and the Google Earth Engine

Remote Sensing, Год журнала: 2024, Номер 16(11), С. 1853 - 1853

Опубликована: Май 22, 2024

The Inner Niger Delta (IND), one of the largest floodplain systems in Africa, sustains livelihoods more than three million people and is a driver rural economy Mali as far agriculture, fish production, livestock are concerned. Because IND ecosystem flood-dependent, it important to monitor seasonal flooding variations. Many attempts accomplish this task have relied on detailed datasets, such daily discharge, rainfall, evapotranspiration, which not easily accessible for data-sparse areas. Additionally, because area large, remains challenging task. In study, interannual variability inundation was investigated by leveraging computing power Google Earth Engine its large catalogue open datasets. main objective analyse temporal spatial distributions extent during last 13 years. A collection Landsat 5, 7, 8, 9 images were composited different bands used with various water vegetation indices pixel-based supervised classification detect flood between 2010 2022. significant improvement accuracy observed thanks indices. results suggest general increasing trend maximum annual extent. Throughout study period, inundated varied 15,209 km2 autumn 2011 21,536 upstream intake led decrease about 6–10% area. Similar fluctuations area, precipitation, river discharge observed. proposed approach demonstrates great potential monitoring inundation, especially areas IND, where situ measurements sparse.

Язык: Английский

---

Integration of multi-layer perceptron neural network and cellular Automata-Markov chain approach for the prediction of land use land cover in land change modeler

Ecological Modelling, Год журнала: 2025, Номер 506, С. 111162 - 111162

Опубликована: Май 1, 2025

Язык: Английский

---

Impact of climate and land use/land cover change on Lobo reservoir inflow, West-Central of Côte d'Ivoire

Journal of Hydrology Regional Studies, Год журнала: 2023, Номер 47, С. 101417 - 101417

Опубликована: Май 16, 2023

Lobo River Catchment (Côte d'Ivoire) In this study, four regional climate models (RCMs) (RC4; CCLM4–8–17; RACMO22T and REMO) for the 2030 2050 periods compared to reference period (1986–2005), combined with a simulation of land use cover (LULC) Land Change Modeler, are used drive CEQUEAU model quantify their impact on inflows reservoir. 1988–2006 is as calibration period, whereas 2007–2015 validation. Three scenarios were used. First, varying LULC keeping parameters static over baseline (scenario 1); in scenario 2, RCMs 3, simultaneous variation RCMs. showed good performance during validation: NSE (0.7, 0.75); R² (0.83, 0.65); PBIAS (14.1%, 12%) RMSE 2.15). The results show that decrease precipitation by (−14.6%), (−15.2%) under 2 (RCP 4.5 8.5) − 6.1% RCP 4. 5 (Scenario 3), we observe an increase runoff 10.8–18.87% 1), 1.2–4.46% (RCP4.5), 3.35% 2.7% (RCP8.5) 2) 6.58–11.83 4.5), 14.83–17.72% 3). Changes identified main causes, rather than variability.

Язык: Английский

---

Using the Google Earth Engine cloud-computing platform to assess the long-term spatial temporal dynamics of land use and land cover within the Letaba watershed, South Africa

Geocarto International, Год журнала: 2023, Номер 38(1)

Опубликована: Сен. 20, 2023

Population growth and environmental shifts have elevated the pressure on land use cover (LULC), necessitating vital management adaptive strategies to preserve balance between ecosystem services human well-being in watersheds. It's pivotal understand implications of human-induced from natural human-dominated surroundings This study utilized Google Earth Engine (GEE) analyze 31 years LULC changes Letaba watershed. Using GEE's random forest, classes were mapped with 93% 99% accuracy across four timeframes (1990, 2000, 2010, 2021). Trends revealed declining water bodies (-4%), bare surfaces (-2%), forest (-3%), grassland while shrublands, plantations, built-up areas increased at annual rates 41%, 24%, 47% respectively. transformation reflects population-driven shifts, strategies. Given importance plantations for income, embracing climate-smart agriculture could ensure long-term food security, thus addressing evolving dynamics

Язык: Английский

---

Using Scenario Building and Participatory Mapping to Negotiate Conservation-Development Trade-Offs in Northern Ghana

Land, Год журнала: 2023, Номер 12(3), С. 580 - 580

Опубликована: Фев. 28, 2023

In multifunctional landscapes, expanding economic activities jeopardise the integrity of biodiverse ecosystems, generating conservation-development trade-offs that require multi-stakeholder dialogue and tools to negotiate conflicting objectives. Despite rich literature on participatory mapping other reveal different stakeholder perspectives, there is limited evidence application such in landscape-scale negotiations. This paper addresses this gap by analysing a process Ghana’s Western Wildlife Corridor, where community-based landscape governance system called community resource management area (CREMA) exists. Data from three workshops focus group discussions with institutional actors increasing demand for food natural resources climate change impacts are drivers degradation, resulting declining faunal floral biodiversity reduced ecosystem services. Meanwhile, prioritise expansion farming land, while forest conservation. However, scenario building helped communicate each other’s aims reach negotiated consensus. Finally, power relations, cultural traditional rules, differences knowledge affected deliberations decision-making. We conclude can contribute an inclusive approach, provided well-functioning platforms place facilitators adequately navigate imbalances recognise kinds degrees knowledge.

Язык: Английский

---

Modelling change detection for unveiling urban transitions: using machine learning algorithms and Sentinel-2 data in Larache City, Morocco

Modeling Earth Systems and Environment, Год журнала: 2023, Номер 10(2), С. 1711 - 1725

Опубликована: Сен. 27, 2023

Язык: Английский

---