Effects of Climate Change and Human Activities on Runoff in the Upper Reach of Jialing River, China

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2481 - 2481

Published: July 6, 2024

In recent years, the runoff of numerous rivers has experienced substantial changes owing to dual influences climate change and human activities. This study focuses on Lixian hydrological station’s controlled basin, located in upper reaches Jialing River China. The objective is assess quantify impacts activities variations. analyzed variations from 1960 2016 employed Soil Water Assessment Tool (SWAT) model, long short-term memory (LSTM) eight Budyko framework formulations factors influencing runoff. Additionally, it used patch-generating land use simulation (PLUS) SWAT models simulate future scenarios under various conditions. results indicate following. (1) area witnessed a significant decline (p < 0.01), while potential evapotranspiration shows upward trend 0.01). Precipitation displays nonsignificant decreasing > 0.1). An abrupt point occurred 1994, dividing period into baseline periods. (2) reveal that contributed 50% 60% changes. According LSTM models, contribution rates are 63.21% 52.22%, respectively. Human thus identified as predominant factor (3) primarily influence through cover Conservation measures led notable increase forested areas 1990 2010, representing most among types. (4) Future suggest highest simulated occurs comprehensive development scenario, lowest observed an ecological conservation scenario. Among 32 scenarios, increases significantly with 10% precipitation decreases substantially 15% reduction precipitation. These findings underscore impact River, highlighting importance incorporating both water resource management planning.

Language: Английский

Intensifying homestead climate-smart agriculture and the challenges to its wider adoption in Azuari watershed, Northwest Ethiopia

Frontiers in Sustainable Food Systems, Journal Year: 2024, Volume and Issue: 8

Published: Dec. 2, 2024

Introduction The adoption of climate-smart agriculture practices (CSAPs) at the plot level is a promising yet underutilized strategy in Ethiopia, where subsistence farming predominates. This study investigates factors influencing intensity CSAPs on homesteads and identifies key barriers to their broader adoption. Methods Quantitative data were collected through household surveys. Multiple Linear Regression (MLR) analysis was employed examine relationship between independent variables farmers' decisions intensify CSAPs. Results findings reveal that slope gradient, extension contacts, experience, dependency ratio-induced labor, livestock diversity significantly impact enhance Major include insecure land tenure, poor management open grazing, labor-intensive practices, limited access agricultural inputs. Discussion To promote widespread implementation CSAPs, it imperative these are prioritized policies. Addressing essential for enhancing which will contribute sustainable development Ethiopia.

Language: Английский