Meisam Rezaei

• PhD in Soil physics & contamination (land and water management)
• Professor (Assistant) at Soil&Water Research Institute (SWRI)

The historical conversion of forests to rainfed agricultural lands in the semi-arid forest ecosystems is one of the primary sources of human-induced, greenhouse gas emission and causes of soil organic carbon (SOC) loss. This study aims to predict SOC contents as an extremely crucial factor in soil formation and fertility in the topsoil of tradition...

This study aimed to identify the most influential soil and environmental factors for predicting wheat yield (WY) in a part of irrigated croplands in southwest Iran, using the FAO-Agro-Climate method and machine learning algorithms (MLAs). A total of 60 soil samples and wheat grain (1 m × 1 m) in 1200 ha of Pasargad plain were collected and analyzed...

This study investigates using lignite waste as a carrier matrix for creating engineered nitro-humic fertilizer (NHF). The NHF is synthesized through an innovative ozone oxidation method and nitrogen enrichment. Agronomic efficiency was evaluated through maize growth responses, soil incubation experiments, and fertilizer performance, comparing NHF t...

The soil’s physical and mechanical (SPM) properties have significant impacts on soil processes, such as water flow, nutrient movement, aeration, microbial activity, erosion, and root growth. To digitally map some SPM properties at four global standard depths, three machine learning algorithms (MLA), namely, random forest, Cubist, and k-nearest neig...

Saturated soil hydraulic conductivity (K sat) is a key component in hydrogeology and water management. This study aimed at evaluating popular tree-based machine learning algorithms (Random forest (RF), Quantile random forest (QRF), Cubist (Cu), and Decision tree regression (DTr)) to assess the spatial distribution of K sat in a sandy agricultural f...

Mapping of soil properties by using novel machine learning (ML) algorithms and optimized environmental covariates is of great importance for agricultural management to enhance crop production. This research aimed at evaluating ML algorithms to predict spatial distribution of soil biological properties and wheat yield in the Southwest of Iran. Topso...

CONTEXT Declining water quantity and quality and poor land, water, and crop management practices are leading to increasing soil salinity, land degradation, desertification, and threatening the overall sustainability of the crop production system in irrigated drylands. Assessments of salinity dynamics and sustainability indicators under alternative...

Soil pollution assessment and applying suitable extractants to determine the available amounts of heavy metals in calcareous and saline soils of Iran are limited. Therefore, this study aims to compare EDTA pH 4.65, EDTA pH 8.6 and, DTPA pH 7.3 extractants to charactrize availability of heavy metals incuding copper, cadmium, lead, and nickel in calc...

Recently, a novel approach with excellent performance based on the concept of the characteristic infiltration time, the characteristic time method (CTM), is proposed to infer soil sorptivity (S) and saturated hydraulic conductivity (Ks) from one‐dimensional (1D) cumulative infiltration. The current work provides a simplified version of the CTM, cal...

Plant growth, grain yield, and the nutritional grain quality reduce in Zinc (Zn)-deficient soils. As a practical approach, the utilization of plant growth-promoting microorganisms offers a promising approach to cope with Zinc deficiency. This study was carried out to determine the effects of endophytic fungus Piriformospora indica and rhizobacteriu...

The research deals with the proper procedure to evaluate and determine hydraulic properties of saline and sodic soils. It compares saturated hydraulic conductivity of the field and laboratory experiments. We found saline water resulted in better and more accurate data compared to fresh/tap water.

In this study we analyzed and compared saturated hydraulic conductivity Kls, obtained by traditional laboratory experiments using field saline water and laboratory tap water along the vertical direction within three sodic soil profiles of haloculture field. Falling and constant head methods were applied on three undisturbed samples per pedogenic ho...

Soil organic matter is one of the largest stores of carbon and nitrogen in various ecosystems that can crucially improve plant nutrition. The present study was conducted to investigate the effect of organic matter sources on carbon and nitrogen mineralization and also the contemporary comparison of carbon and nitrogen mineralization and nitrogen im...

The saturated hydraulic conductivity (Ks) is considered to be one of the main soil hydraulic properties to simulate water transport in the vadose zone, yet it is notoriously difficult to assess due to its large field-scale variability and sensitivity to preferential flow paths. With the increasing availability of convenient methods to measure the u...

In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they...

To assess recharge through floodwater spreading, three wells, approx. 30 m deep, were dug in a 35-year-old basin in southern Iran. Hydraulic parameters of the layers were measured. One well was equipped with pre-calibrated time domain reflectometry (TDR) sensors. The soil moisture was measured continuously before and after events. Rainfall, ponding...

In this paper, we present and analyze a global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database, for the first time. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the exper...

Download Abstract In this paper, we present and analyze a global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database, for the first time. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who...

In this paper, we present and analyze a global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database, for the first time. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the exper...

The monitoring and management of soil and groundwater is a challenge. Current methods for the determination of movement or flux of pollution in groundwater use no direct measurements but only simulations based on concentration measurements and Darcy velocity estimations. This entails large uncertainties which cause remediation failures and higher c...

A quasi 3D modelling approach was developed by integrating a crop growth (LINGRA-N) and a hydrological model (Hydrus-1D) to simulate and visualize water flow, soil-water storage, water stress and crop yield over a heterogeneous sandy field. We assessed computational efficiency and uncertainty with low-to high-spatial resolution input factors (soil-...

Soil hydraulic parameters, which can be derived from in situ and/or laboratory experiments, are key input parameters for modeling water flow in the vadose zone. In this study, we measured soil hydraulic properties with typical laboratory measurements and field tension infiltration experiments using Wooding's analytical solution and inverse optimiza...

Monitoring and modeling tools may improve irrigation strategies in precision agriculture. Spatial interpolation is required for analyzing the effects of soil hydraulic parameters, soil layer thickness and groundwater level on irrigation management using hydrological models at field scale. We used non-invasive soil sensor, a crop growth (LINGRA-N) a...

Monitoring and modelling tools may improve irrigation strategies in precision agriculture. We used non-invasive soil moisture monitoring, a crop growth and a soil hydrological model to predict soil water content fluctuations and crop yield in a heterogeneous sandy grassland soil under supplementary irrigation. The sensitivity of the soil hydrologic...

Monitoring and modeling tools may improve irrigation strategies in precision agriculture. We used non-invasive soil moisture monitoring, a crop growth and a soil hydrological model to predict soil-water content fluctuations and crop yield in a heterogeneous sandy grassland soil under supplementary irrigation. The sensitivity of the model to hydraul...

Background and Objectives: Salinity is the most common environmental stress which have endangered successful crops production. The vast cultivated areas in Iran are located in arid and semi-arid parts and these plants are subject to adverse environmental conditions, hence to increase plants tolerance to environmental stresses mostly due to exceedin...

Precision irrigation management requires accurate information on spatial variation of field hydraulic properties and in-detail observations. Characterizing field scale soil hydraulic properties can be done by linking them to apparent electrical conductivity (ECa), which can be measured efficiently and inexpensively, so a spatially dense dataset for...

Water scarcity and the presence of water of good quality is a serious public concern since it determines the availability of water to society. Water scarcity especially in arid climates and due to extreme droughts related to climate change drive water use technologies such as irrigation to become more efficient and sustainable. Plant root water and...

is one of the most plentiful nutrients in the soil surface with important physiological roles in plant, improving their quality. Quantity-intensity (Q/I) relationships present beneficial information when assessing plant potassium availability and fertilizer application management. The objective of this research was to determine the K Q/I relationsh...

Uranium is a natural heavy metal widely dispersed across the earth crust. In many cases due to anthropogenic disturbance, it has been found beyond its natural abundance which resulted in soil-water pollution. The objective of this study was to investigate the capability of Iranian natural zeolite clinoptilolite for removal of uranium (VI) from aque...

The rate of K⁺ release from soils can significantly influence K⁺ fertility of soils. The objectives of this study were investigated the effect of different calcium concentrations (0, 0.028, 0.057, 0.085, 0.128 and 0.171 mg L^-1) and different ammonium concentrations (0, 40, 60, 90, 120 and 140 mg L^-1) on p...

Information with regard to adsorption and desorption kinetics of potassium as combined with ammonium and additions zeolite to soil are limited in Golestan province loess soils. In present research the effect of different K+ and NH4+combined concentrations )80, 60 and 80, 120 and 60, 60 ، and 110, 120, and 80, 90 and 110, 90 mg/lit) on potassium ads...

Information about the adsorption and desorption kinetics of potassium and the consequent alterations with zeolite additions are limited in Golestan Province loess soils with illite dominance in the clay fraction. The kinetics of potassium adsorption and desorption with different KC1 concentrations (0, 40, 60, 80, 110 and 140 mg L -1) and KC1+NH 4C1...

Applications of suitable methods to remove heavy metals are necessary, because they increase environmental population. In order to solve this problem, using of inexpensive, high efficient and high availability material, such as Zeolite, can eliminate environmental populations, and it may recover some valuable cations, such as copper. Zeolite can ca...