Results 71 to 80 of about 137,720 (348)
Development and Testing of a Low‐Cost Soil Moisture Sensor for Real‐Time Irrigation Scheduling
ABSTRACT Effective irrigation scheduling is essential for improved water management in irrigated areas, with soil moisture monitoring recognized as one of the most effective methods. However, challenges such as the high cost of sensors and the difficulties in monitoring large areas hinder their practical application, particularly for smallholder ...
Edmealem Temesgen Ebstu +9 more
wiley +1 more source
Socio-hydrology with hydrosocial theory: two sides of the same coin?
This paper reviews socio-hydrology and hydrosocial research, finding a sophisticated relationship with emergent syntheses. We examined 419 papers by topic, region of study, theories implemented, journal, and year published to ascertain trends in both ...
A. Ross, Heejun Chang
semanticscholar +1 more source
Socio-Hydrology: A New Understanding to Unite or a New Science to Divide?
The socio-hydrology community has been very successful in promoting the need for taking the human factor into account in the mainstream hydrology literature since 2012. However, the interest in studying and modeling human-water systems is not new and pre-
K. Madani, M. Shafiee-Jood
semanticscholar +1 more source
ABSTRACT Agricultural water management (AWM) is increasingly transitioning towards transformative thinking, where interconnected sectors, including water, energy and food, are managed holistically. Trends point towards cross‐sectoral and harmonised strategies to optimise water use efficiency and productivity, integrate renewable energy, promote ...
Luxon Nhamo +5 more
wiley +1 more source
Scoping Review of Paddy Field Dam Studies in Japan
ABSTRACT Paddy field dams are one of the nature‐based solutions provided by farmers in Japan for mitigating flood damage. This scoping review analysed 38 papers in the Web of Science Core Collection and J‐STAGE obtained by searching for keywords associated with paddy field dams.
Ryo Murata +5 more
wiley +1 more source
Hydrology faces significant challenges, including water resource prediction and natural disaster mitigation. Consequently, integrating machine learning with hydrology is pivotal for enhancing research accuracy and efficiency.
Ying Nie +3 more
doaj +1 more source
ABSTRACT Forage production in semi‐arid regions of Brazil is limited by water deficit. This study aimed to identify the most adapted and efficient production systems and define their agricultural calendars for the semi‐arid region of Brazil. Twenty‐nine production arrangements that included different cropping conditions, plant density, plant cycles ...
Antonio Gebson Pinheiro +15 more
wiley +1 more source
ABSTRACT The effects of different irrigation methods (center pivot [CPI], subsurface drip [SDI] and furrow irrigation [FI]) and levels (full irrigation treatment [FIT], 80% FIT, 60% FIT and rainfed) on yield, crop evapotranspiration (ETc), ET‐water productivity (WPET) and drought stress index for leaf expansion (SIE) and photosynthesis (SIP) of maize ...
Ebrahim Amiri +2 more
wiley +1 more source
ABSTRACT This study evaluated the growth, forage production, soil water balance, water indices, biological efficiency and competitive capacity of forage cactus and maize in monoculture and intercropping, with or without mulch. The experiment was conducted in Serra Talhada, Pernambuco, Brazil, using the cactus clone ‘Orelha de Elefante Mexicana’ (OEM ...
Kaique Renan da Silva Salvador +13 more
wiley +1 more source
Automated high-temporal-resolution multi-element river water monitoring with ICP-MS
Background Real-time monitoring of multi-element concentrations in rivers is highly desirable due to potential hazardous impacts and a better understanding of geochemical cycles.
Mohamed Harhash +6 more
doaj +1 more source

