In this study, polychaete worms in muddy-sandy coast of Gulshahr in Bandar abbas were investigated. Monthly sampling was conducted during one year from July 2005 until June using a hand corer.According to the results five families of polychaete worms, comprising 6 species, were recorded as macro fauna in the studied sites. The identified families were as following: nereididae, nephtyidae, spionidae, capitellidae, and glyceridae. The most species diversity belonged to family spionidae, while nephtyidae were the most abundant family. Results indicated that the polychaete worms were relatively sparse. This was more considerable in high intertidal areas.

The present study has investigated polychaete worms in a muddy-sandy shore in Bandar Abbas in two sites. The first site which was receiving urban sewage of the city and was next to Terminal was named "Terminal". The second site was next to Goharshad Hotel and was named "Goharshad". Present research was conducted in a one year period starting from July 2005 until June 2006 on a monthly basis. Sampling was done using a hand corer. Results showed that five families of polychaete worms, comprising 6 species, were present as macrofauna in the sites. The identified families were: Nereididae, Nephtyidae, Spionidae, Capitellidae, and Glyceridae. The family Spionidae was most diverse while Nephtyidae were the most abundant family. Results indicated that the polychaete worms were relatively sparse. This was more considerable in high intertidal areas. Statistical analysis showed no significant difference between the two sites (p>0.05). Also it was clear that main habitat for the polychaete worms is low intertidal zone.

The study presents the result of a new attempt for benthic biotopes remote sensing in the southern coast of the Qeshm Island in the Persian Gulf. This survey site covers approximately 233 km2 in water depth between five and 25 m. Bathymetric data was derived from the single beam survey and grab stations, underwater video and photos were undertaken as ground-trusthing. The acoustic results showed the survey occurred in shallow waters. Sediments were classified as muddy and into six types following Went-Worth scale. In total, 214 species belonging to 91 families, 48 orders and 20 classes were identified. Majority of species were Polychaete with Cirratulidae, Amphinomidae, Paraonidae and Capitellidae being dominant, respectively. Porifera, Nematoda, Malacostraca, Enopla, Bivalve, Osracoda, Ophiuroidea and other macrofauna comprised the remaining species, respectively. The results showed sediment type did not affect species distribution and richness. The acoustic mapping of southern coast of the Qeshm Island provided preliminary data and initial overview of the sediment biotopes and faunal communities. This was the first attempt to integrate geological, biological and dynamic data of the region.

In aquaculture environments, organic enrichment significantly alters the chemical composition of pond sediments, leading to increased levels of organic matter, sulfur, and iron, alongside a reduction in pH. One promising approach to improve nutrient cycling and remediate contaminated sediments is the use of bioremediation through polychaetes. The selection of native species is crucial to mitigate the risks associated with introducing non-native, invasive species that may act as disease vectors or compete with native populations. This study, conducted from 2018 to 2020, aimed to identify and introduce polychaete species from the Persian Gulf with potential for bioremediation. A total of 41 sampling stations were selected across three provinces in the Iranian waters of the Persian Gulf—Hormozgan, Bushehr, and Khuzestan. Sediment samples were collected using a Van Veen grab sampler, washed with seawater, and analyzed for polychaete identification. The study identified 23 polychaete species from five families: Eunicidae (2 species), Capitellidae (3 species), Spionidae (5 species), Sabellidae (7 species), and Nereididae (6 species). The results highlight the potential of native polychaetes in bioremediation, enhancing the quality of aquatic substrates and contributing to the preservation of local ecosystems. These species play a vital role in the health and sustainability of ecosystems by degrading pollutants and improving environmental conditions. Thus, using native polychaetes for bioremediation can strengthen biodiversity and reduce the risks posed by non-native species in aquatic management and conservation.

This research was carried out to compare diversity and distribution of polychaetes in western and eastern Jask creeks protected areas in Jask Port (Gulf of Oman), located in the East of Hormozgan province. Sampling of sediments was done seasonally from fall 2009 to summer 2010 by 0.04 m2 Van Veen Grab, in three stations including mouth, middle and end of each creek. A total of 72 sediment samples were taken from the stations. In this study, 20 species belonging to 16 families in the easten Jask area with a frequency of 9075 per m2 and 17 species belonging to 13 families in the western Jask area with a frequency of 4800 per m2 were identified. Polychaetes families were mainly consist of Nereididae, Owenidae, Capitellidae and Pilargidae. Ecological indices including Shannon - Wiener, Margalef and Simpson also were calculated. The average of Shannon index in different seasons and stations of eastern Jask (1.02±0.47) were higher than the western Jask (0.898±0.74). Correlation analysis between environmental factors and polychaetes showed that the abundance of polychaetes has a significant positive correlation with the temperature, oxygen, salinity and EC (P<0.05). Results of ANOVA revealed no significant differences between indices in different seasons (P>0.05). The results of Kruskal-Wallis test showed significant differences between the abundance of polychaetes in the eastern and western Jask (P<0.05). In additon, the results of this test indicated a significant difference in the abundance of polychaetes, between summer and fall and also between summer and winter, in both of Eastern and Western Jask (P<0.05).